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Bazaarvoice Generative AI Study reveals consumers are open to AI in user-generated content

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Globe Newswire
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Over half (53%) of consumers say they trust generative AI to at least some extent

Bazaarvoice, Inc., the leading provider of full-funnel authentic user-generated content (UGC) solutions, today released its latest research, based on a survey of more than 9,000 respondents around the world. The report explores consumers’ trust of generative AI, and if they would find it useful in assisting with writing product reviews. This report is being released in conjunction with the announcement of Bazaarvoice’s AI Center of Excellence, an internal team consisting of all key disciplines, which was created to provide company-wide guidance and leadership on all things AI. Their goal is to drive not just product innovation, but also to ensure we are building things safely and securely.

“AI has the power to improve our lives in an almost countless amount of ways,” said Colin Bodell, Bazaarvoice CTO. “Bazaarvoice has been using AI and machine learning in our technology and offerings in various ways over the past decade. We also have several new offerings that utilize AI such as Content Coach, which suggests product-specific topics for consumers to write about in their reviews based on other relevant product reviews. This helps to ensure that higher-quality reviews are being written.”

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Global survey highlights include:

  • Generative AI could prove helpful, because consumers struggle when writing reviews: 68% said they sometimes feel unsure about what information to share that would be helpful to other customers when writing a review
  • Consumers would be open to utilizing AI when writing product reviews: 67% said that it would be at least somewhat helpful if an e-commerce site provided an AI-powered coaching to guide users in leaving a higher-quality product review
  • Consumers would like AI’s assistance in the Q&A section on sites too: When asking a question about a product on a brand or retailer’s website, 45% would trust an answer that they would receive immediately that was generated by AI and 36% said maybe, depending on the answer
  • Half (49%) of people said they would like to write a review on a website in which generative AI helps guide them about what to write because it would help them write a better review
  • Generative AI adoption is not very high, but users like it: Only about a third (36%) of people have used generative AI tools such as ChatGPT or Bard, but 14% plan to use it in the future. Of the people who have used it, 55% said they would use it again

See more research in Bazaarvoice’s latest blog.

“AI is an incredibly powerful and vibrant tool, but it’s just that – a tool, not a strategy. With that in mind, brands and retailers need to find strategic applications for this tool,” said Zarina Lam Stanford, Bazaarvoice CMO. “While utilizing AI to its fullest extent, brands and retailers must ensure authenticity is practiced to protect brand safety, integrity, and equity. Trust is the most precious currency and AI should not ever be used to replace the genuine and authentic voices of consumers.”

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Xactly Welcomes Jennifer McAdams as Chief Marketing Officer

By
Globe Newswire
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Xactly-Welcomes-Jennifer-McAdams-as-Chief-Marketing-Officer

Seasoned marketing veteran brings over 25 years of experience driving sales and marketing alignment

 Xactly, the leader in intelligent revenue solutions, today announced that Jennifer McAdams is joining the organization as Chief Marketing Officer. With over two decades of experience leading marketing teams within the software industry, McAdams will partner with Xactly’s marketing and sales teams to create and execute integrated strategies that will accelerate growth and drive significant impact for Xactly.

McAdams has worked closely with Xactly over the past year, serving in an advisory CMO role as part of Vista Equity Partners’ Value Creation Team. Her partnership and the execution of a comprehensive marketing plan generated increased pipeline and higher quality leads for Xactly, inspiring the decision for McAdams to join permanently as a member of the senior leadership team.

“Jen’s comprehensive and inclusive approach is already paying dividends at Xactly,” said Arnab Mishra, Chief Operating Officer at Xactly. “Aligning Marketing with Product, Support, Customer Success and Renewals will propel the brand and pave the way for Xactly’s next stage of growth.”

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Prior to Vista Equity Partners, McAdams served in various marketing roles at Progress, SAP, Ixia and Kaseya, dedicating her career to implementing impactful marketing strategies that empower sales teams.

“Xactly is a proven category leader in sales technology, developed by salespeople and for salespeople,” said McAdams. “By rallying sales and marketing together under one umbrella with streamlined processes, common KPIs, and a shared sense of trust, we’re poised to help customers adopt a similar holistic approach and achieve even greater high-quality revenue in the future.”

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WEX Signs Definitive Agreement to Acquire Payzer

By
Business Wire
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WEX Signs Definitive Agreement to Acquire Payzer

  • High-growth field service management platform at the convergence of SaaS and payments helps customers simplify operations, streamline their sales processes, and improve collections

  • Complementary solutions align with current customer base’s needs, enhancing cross-sell opportunities and strengthening relationships

  • Further expands total addressable market

WEX, the global commerce platform that simplifies the business of running a business, announced the signing of a definitive agreement to acquire Payzer, a high-growth, cloud-based, field service management software provider. Upon expected completion, the acquisition will advance WEX’s growth strategy of expanding its product suite and creating additional cross-sell opportunities by providing a new, scalable SaaS solution for its approximately 150,000 small business customers who operate field service companies.

“Payzer’s top-tier service offering and feature set is at the convergence of SaaS and payments. Payzer is an example of us finding a high-growth market with a customer base that overlaps with our current customer footprint, with a great product and service offering to address the needs of these customers.”

“We are thrilled at the prospect of providing an exciting new offering for our Mobility customers with the anticipated acquisition of Payzer,” said Melissa Smith, WEX’s Chair, Chief Executive Officer, and President. “Payzer’s top-tier service offering and feature set is at the convergence of SaaS and payments. Payzer is an example of us finding a high-growth market with a customer base that overlaps with our current customer footprint, with a great product and service offering to address the needs of these customers.”

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WEX is a leader in mobility solutions with more than 600,000 customers and approximately 19 million vehicles served on its Mobility platforms. Payzer is a full-featured field service management SaaS provider, offering scheduling, dispatching, customer communications, invoicing, sales proposals, supply ordering, and maintenance agreements. Payzer has initially focused on providing solutions to HVAC, plumbing, and roofing small businesses. These solutions are all woven together in an easy-to-use and intuitive software package available on both desktop and mobile applications. In addition, Payzer has deep relationships and distribution partnerships with key OEMs in the industries it serves, simplifying the relationship for customers with their upstream suppliers.

Transaction Details

Pursuant to the terms of the definitive agreement, WEX will acquire Payzer for total consideration of approximately $250 million, with additional contingent consideration of up to $11 million based on defined performance metrics, subject to certain working capital and other adjustments. WEX intends to finance the acquisition through its revolving credit facility and cash on hand.

The transaction is expected to be completed before the end of 2023, subject to customary closing conditions.

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Martech Experts Explain why C-Suite ‘buy-in’ is Critical for Digital Transformation

By
Billy Loizou
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0

At a recent Marketing Tech Symposium I joined Teresa Sperti, Director/Founder of Arktic Fox to unpack the persistent challenge of securing executive buy-in of digital transformation strategy. From harmonising short- and long-term initiatives to adapting to a privacy-focused, cookieless landscape and investing in the right resources to bridge skill gaps and understand customers for a compelling value proposition, no stone was left unturned. Let’s dive in.

The fuel that propels transformation

Securing executive buy-in is critical. More than just a checkbox, it’s the fuel that propels organisational transformation forward. When leadership fully embraces the journey, they not only pave the way for change but also inspire their teams to rise to the challenge.

However, Arktic Fox’s Digital & Marketing In Focus study highlights a glaring obstacle to this transformation. “What we found is that while organisations are embracing digital transformation – not enough are succeeding,” Sperti points out. “Nearly 40 per cent of leaders stated that one of the key difficulties they face is senior leadership understanding and buy-in. This topped the list.”

This is a real problem, she says, adding, “A lack of executive knowledge and understanding when it comes to digital makes it harder to drive alignment and focus. This results in less investment while increasing the likelihood that more leaders and teams work against, not for, the change.”

Executive buy-in barriers: Why the resistance?

Despite its undeniable importance, securing executive buy-in remains the primary hurdle for leaders. Sperti says this hurdle can be attributed to a combination of factors, namely:

  1. Misguided beliefs: There is still a belief that to solve for digital transformation, organisations can hire one executive that is responsible for driving the change.
  2. “Not my job” reluctance: Executives and boards don’t always necessarily perceive it is their role to understand the digital space, so they fail to educate themselves on what is occurring in the market.
  3. Persistent legacy mindsets: Digital is still, within many legacy organisations, not seen as how business is done in the modern age.
  4. Knowledge gap: Executives aren’t necessarily willing to admit their lack of knowledge and expertise, which inhibits their learning.

“Our research also revealed that the second biggest barrier to driving digital transformation was related to skills and capability of teams and securing investment,” Sperti shares. “We see this all the time with teams. We often work with leadership teams on new strategies, and there is enthusiasm around the strategy. But often, the organisation isn’t prepared to take the leap and invest to the level it needs to, thus hampering the ability to evolve.”

Overcoming executive resistance for transformation projects that thrive

There are four critical areas where executive decision-making and prioritisation will have a significant impact on future investments:

  1. Prioritisation: Balancing short-term vs. long-term initiatives
  2. Privacy: Preparing for changes privacy regulations and a cookieless world
  3. Personalisation: Investing in the right tools to understand your customer and build a clear value exchange
  4. People: Enabling teams and developing skills to overcome internal skill gaps

Let’s start with prioritisation. When it comes to balancing short- and long-term initiatives, executives must understand what projects and investments will make the greatest impact on the organisation.

Drawing from the insights of industry pioneers like Les Binet and Peter Field from their research, The Long and the Short of It, executives can guide their decision-making to strike the right equilibrium between immediate results and long-term brand building, ensuring sustained success in today’s dynamic business landscape.

Striking the right balance for maximum impact

This means acknowledging that while short-term initiatives can deliver quick wins and boost revenue, long-term brand equity and customer loyalty are equally vital for enduring prosperity. Sperti’s research revealed that the key priority for 78 per cent of leaders is driving growth. Building a customer data strategy and better utilisation of first-party data came in as the second most important priority for the year ahead.

Sperti shares, “For our consulting work, often partnering at heads of level/chief-level executives, we still see far too many leaders and teams focusing on campaign and channel-based metrics as opposed to customer metrics and metrics that drive topline and bottom-line growth. Our job as marketing or digital leaders is to shift customer behaviour to drive market share growth to influence the bottom line.”

When asked to reflect on her two decades of experience client-side, gaining her perspective on how to help businesses see the value of long-term projects, Sperti says the key is to focus on the end game. “First, you need to understand how the executive makes investment decisions and the financial metrics that projects need to hit to garner investment.

“In larger organisations, in particular, projects are assessed against metrics like NPV (net present value) and IRR (internal rate of return) and return and finance are looking for investments that meet their minimum benchmarks – alongside other metrics that are good for business like improving CX (customer experience).

“Partnering closely with finance to develop the business case is critical,” she continues. “Engage them early on and get them to become advocates for your project and business case. You also need to paint a really compelling vision. Often leaders can get lost in the technical aspect, but the tech is not the end game – the experience it delivers is.”

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Personalisation: Making CDPs a key priority for investment

As mentioned earlier, putting your customer at the center of the experience is critical for ongoing success. Mounting research suggests that companies that adopt a customer-centric approach tend to outperform their competitors in areas like revenue generation and market share.

Unsurprisingly, research shows that while leaders are beginning to pare back investments in MarTech overall, however, investment in CDPs is accelerating. In fact, the study demonstrates that 40 per cent of brands say that CDPs are a key priority for investment – double that of last year.

“2023 is clearly the year of the CDP. Over the past three years, we have been tracking investment in MarTech and priority areas for the year ahead. With demonstrable growth in the number of platforms available and the providers serving the industry, it is fair to say organisations are still trying to make sense of the complexity of what is out there and what is the right choice for their brand,” Sperti shares.

“And while there are promises of improved efficiency, effectiveness, relevance and automation at scale – for many the returns are still too elusive as they grapple with how to integrate and embed platforms to derive value and to my earlier comments invest in training so people know how to use the systems most effectively. CDP uptake is being driven by gaps in the MarTech ecosystem, limiting teams to go after opportunities and work through key challenges.”

CDP benefits in focus

Data is the fuel source of modern business. However, the value of data hinges on its quality — unreliable and outdated data leads to unreliable and ineffective decision-making. It’s a classic case of “garbage in, garbage out” and no amount of marketing or financial investment can change that fundamental truth. That’s why a CDP like Amperity is so important.

A CDP acts as a unifying force for online and offline customer data. It takes data from every source inside your organisation, whether that’s point of sale, eCommerce, CRM (customer relationship management) web behaviour, etc and consolidates it, so you can understand who the humans are behind the data.

That gives you a comprehensive 360-degree view of your customers. This deep understanding empowers your business with valuable insights, from past purchases that can fuel personalised recommendations to informing decisions in various departments like IT for analytics or marketing for communications. It’s unified, unlocked data.

However, data unification is just the beginning. The true power of this unified data lies in its integration with downstream systems. Remember, it doesn’t matter what tools you have or implement if you don’t have a clean foundation of data to start with. Good data powers good marketing.

CDP: The indispensable business tool

It’s worth noting that while CDPs were initially conceived with marketing in mind, their functionality has expanded significantly. Their ability to collect, integrate and manage customer data from diverse sources makes them indispensable for multiple business departments. From sales to customer service and even product development, the insights derived from a CDP can drive strategic decisions across the board.

Some businesses even utilise CDPs like Amperity to calculate share prices. The reason is simple, a CDP should be the most trusted source of consumer data in your business.

Closing the skills gap

With change taking place so quickly, organisations must keep their teams up to speed. As such, upskilling must be a key priority. However, Sperti’s research reveals that a third (33%) of leaders felt their teams’ lack of capability and skills make driving change challenging when it comes to digital transformation.

She says, “Data and analytics once again topped the list of technical skill gaps within digital and marketing functions today – with nearly half (47%) of all participants, citing it as a key skill gap. What’s more, when we asked teams about the level of data literacy in their departments, only 35 per cent said it was strong. This means two-thirds of teams are operating without strong knowledge and skills in the data and analytics space.”

Sperti went on to say that little progress in closing the skill gaps in areas of data and analytics over the past three years has been made. “Trying to conceptualise and roll out strategies like a first-party data strategy is impossible if one, your team doesn’t have the capability to do so; two, your teams don’t know what good looks like; and three, if you are trying to build skills and capabilities whilst implementing change,” she explains.

What’s more, the study also demonstrates that while skills gaps abound in both technical and soft-skill areas, brands and organisations aren’t doing enough to address them. Almost half (43%) of leaders admit they have no training budget, which is undoubtedly holding their teams back.

A call to executives: Buy in

Executives must recognise that financial considerations are only one aspect of their role. Those who genuinely buy into the process of digital transformation are more likely to facilitate change effectively and communicate its benefits to their teams. Embracing these priorities and investing in the necessary resources, whether it’s data privacy compliance, personalisation tools or workforce development, is essential for guiding their organisations toward a successful and adaptive future.

About Teresa Sperti, Founder and Director of Arktic Fox

Teresa Sperti is a customer and digital leader with over 20 years’ experience working for leading brands including Coles, Officeworks and World Vision amongst others. Her core competencies include digital transformation, eCommerce, marketing leadership, data, MarTech and customer experience.

About Amperity

Amperity delivers the data confidence brands need to unlock growth by truly knowing their customers. With Amperity, brands can build a first-party data foundation to fuel customer acquisition and retention, personalise experiences that build loyalty, and manage privacy compliance. Using patented AI and ML methods, Amperity stitches together all customer interactions to build a unified view that seamlessly connects to marketing and technology tools. More than 400 brands worldwide rely on Amperity to turn data into business value, including Alaska Airlines, DICK’S Sporting Goods, Endeavour Drinks, Planet Fitness, Seattle Sounders FC, Under Armour and Wyndham Hotels & Resorts. For more information, visit amperity.com or follow us on Linkedin, Twitter, Facebook and Instagram.

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The Psychology Behind Spending – Making It Win Win

By
Dominic Hofer
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0

Consumer spending is a vital indicator of the health and growth of any economy. However, in recent years, consumer spending has been significantly impacted by various factors, such as inflation, unemployment, and geo-political concerns.

In fact, more than half of UK consumers have cut back on discretionary spending since the start of the year, according to research from KPMG. These challenges have made it more important than ever for businesses to understand consumer psychology and how to increase loyalty and spending among their customers.

Loyalty and rewards programmes have become one of the most effective ways to tap into the basic human motivations that drive consumer behaviour. By offering incentives and benefits to customers who repeatedly purchase from a brand, loyalty programmes create a win-win scenario for both consumers and businesses. Consumers get more value for their money, while businesses get more loyal customers, more data, and more revenue.

But how exactly do loyalty programmes work? What are the psychological principles behind them? And, how can businesses leverage them to shape spending, especially during challenging economic times?

The mindset behind loyalty programmes

Loyalty, defined as faithfulness or devotion, holds huge significance in the business and marketing world. It refers to the customer’s choice to consistently buy from a brand over its competitors, even when there are other options available. Loyalty is everything to businesses. It is a powerful force that can generate repeat purchases, referrals, and respect for a brand.

Brands lean into this principle of loyalty by providing consumers with incentives to spend more with a particular brand. The “give me your business, you get something back” model fosters an emotional connection and makes customers feel valued. Loyalty programmes create a sense of reciprocity and gratitude among customers, creating positive brand association. They also create a sense of belonging and identity, transforming customers into a community or a club that shares their values and preferences.

There are several main psychological principles that drive loyalty programmes:

1. The gratification of collecting and gathering

Humans have an innate inclination to collect and accumulate things, rooted in our evolutionary history when gathering resources was essential for survival and reproduction. Collecting and gathering also give us a sense of accomplishment, satisfaction, and progress. Loyalty points tap into this instinct by offering tangible reward for purchases.

People may not be millionaires in their real lives, but they certainly can be “points millionaires”. Customers feel motivated to accumulate points and begin to associate the brand with positive feelings and experiences.

2. The power of personalisation

Personalisation is the process of tailoring products or services to suit the individual needs and preferences of customers. Personalisation enhances customer satisfaction, loyalty, and spending by making customers feel valued, understood, and special.

By leveraging data analytics and customer feedback, loyalty programmes can also segment customers and offer rewards that match each customer’s interests, needs, and goals.

3. Loss aversion

Ever heard of FOMO? Well, loss aversion is a concept based on the fear of missing out. It’s a behavioural tendency where individuals are more sensitive to potential losses than they are to potential gains of the same value. For instance, if someone is given the choice between receiving £100 or avoiding losing £100, most people will choose to avoid the loss, even though the outcome is financially equivalent. This aversion to loss shapes consumer behaviour. In other words, people feel more pain from losing something than pleasure from gaining something.

Loss aversion shapes consumer behaviour by creating a sense of urgency and scarcity among customers. Loyalty programmes often use loss aversion by creating deadlines or expiration dates for redeeming points or rewards. Customers feel compelled to spend their points or rewards before they lose them, driving spending. Loyalty programmes can also use loss aversion by creating tiers or levels that require customers to maintain a certain amount of spending or activity to keep their status or benefits. Customers feel motivated to stay loyal to the brand or risk losing their privileges or perks.

4. Points magnification

Perception of value is crucial. Points-based loyalty programs are more effective because points disguise the true value collected in cash, by magnifying the real value earned.

For example, if a company offers you £2 for answering a survey, the response rate can be low. However, if they pay 100 points (equaling £1) then the response rates will be significantly higher. This is because, as humans, we perceive 100 points far more valuable than £2.

Magnifying value through a special currency of points can feel far more valuable than plain cash and is key to attracting customers.

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How does this shape spending?

By understanding and applying these psychological principles, loyalty programmes can shape spending in several ways:

  • Attract more shoppers and reduce churn – By offering incentives and benefits that differentiate the brand from its competitors, brands will not only appeal to more customers but retain their current customer bases who are already invested in the brand.
  • Increase share of wallet – By offering rewards, customers become less price sensitive. This is because customers perceive the value of the brand as higher than its price due to the added value they receive from the rewards. As a result, customers are also more likely to make bigger purchases than they would have normally because of the rewards they can earn or redeem – thereby, increasing spending.
  • Generate more data – Data is everything to businesses. It helps them make better decisions and save costs. By tracking and analysing customer behaviour, preferences, and feedback, businesses can improve their products, services, marketing, and customer service. Businesses can also use data to personalise their offers and rewards to each customer, increasing their relevance and effectiveness.

Connecting brands with shoppers that have proven “loyalty DNA” is key to any loyalty scheme. Championing loyalty will be key to success for any brand amid challenging economic times. Helping businesses to increase their customer base, loyalty, and revenue by offering them access to a pool of loyal shoppers who are looking for ways to use their points, is really important.

Loyalty during challenging economic times

Loyalty programs prove effective not just in stable economies, but shine even brighter during tough times. Economic downturns witness reduced consumer spending, yet customer psychology remains unchanged, craving appreciation and rewards from brands. Loyalty schemes provide value, identity, and a sense of accomplishment even amidst difficult times. In fact, small rewards become more cherished, enhancing customer satisfaction.

Still, businesses must adapt their loyalty programmes by offering flexible rewards and fostering emotional bonds. During the pandemic, we saw travel loyalty programmes adapt by allowing point redemption for diverse purposes and extending reward validity. This resilience not only maintained but increased customer loyalty and spending, showcasing their crucial role in surviving and thriving during crises.

The Future of Loyalty

The future of loyalty looks promising for both businesses and consumers. Loyalty programmes are expected to continue growing in popularity and diversity in the business, aviation and retail landscape, as more brands realise the benefits of offering rewards and incentives to their customers. As such, loyalty programmes are becoming part of a brand’s core offering, and therefore facing more competition from other brands that offer similar or better rewards and benefits.

To stay ahead of the competition and meet the evolving needs and expectations of customers, loyalty programmes will need to leverage technology to enhance their offerings and experiences. Technology can boost current loyalty programmes, offering more personalised, convenient, and engaging rewards to customers. For instance, AI can help loyalty programmes collect and analyse more data that can help them improve their products, services, marketing, and customer service. By looking to MarPay™ solutions that connect loyalty programmes with wider brands, loyalty programme members gain more flexibility, convenience, and value for their loyalty points. We’re likely to see more brands invest in these technologies, particularly amid a trickier economic climate.

Ultimately, well-designed loyalty programmes make spending a win-win by rewarding customers for their business. By tapping into basic human motivations around collecting, progress and value, these programmes positively influence consumer behaviour. Loyalty programmes will only grow in importance as both companies and customers benefit from the value exchange.

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AI and Email Marketing: Current Trends – Choosing the Right AI Powered Email Marketing Platform

By
MTS Staff Writer
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0

Introduction

The evolution of AI in email marketing has been transformative. Historically, email campaigns were manually crafted, often lacking personalization. With AI’s advent, predictive analytics emerged, enabling tailored content for recipients. Algorithms now analyze user behavior, optimizing send times for higher open rates.

AI-driven tools segment audiences more effectively, ensuring relevant content delivery. Natural Language Processing (NLP) enhances subject lines, making them more compelling. Automation tools also test multiple email versions, selecting the most effective one. The synergy of AI and email marketing not only boosts engagement but also ROI.

As technology advances, we can anticipate even more sophisticated, human-like email interactions. This fusion promises a future where emails feel less like broadcasts and more like personalized conversations.

Trends Driving AI and Email Marketing

The integration of AI in email marketing is revolutionizing the digital landscape. As technology advances, several trends are shaping this synergy, enhancing user engagement and business outcomes. Here are the key trends driving this fusion:

  1. Personalized Content Creation: AI algorithms analyze user data to craft tailored email content. By understanding recipient preferences, emails resonate better, leading to increased engagement.
  2. Optimal Send Times: AI determines the best time to send emails based on user behavior. This ensures higher open and click-through rates, maximizing campaign effectiveness.
  3. Audience Segmentation: Advanced AI tools segment email lists more precisely. By categorizing users based on behavior, demographics, or purchase history, campaigns become more targeted.
  4. Predictive Analytics: AI-driven analytics forecast user behavior. Businesses can anticipate user needs, tailoring offers and content accordingly, leading to higher conversion rates.
  5. Enhanced Subject Lines: Using Natural Language Processing (NLP), AI crafts compelling subject lines. This increases open rates, as subject lines are the first point of contact with recipients.
  6. Automated A/B Testing: AI automates the process of testing multiple email versions. It quickly determines the most effective content, design, or subject line, ensuring optimal campaign performance.
  7. Chatbots and Virtual Assistants: Integrated within emails, these AI-driven tools answer queries, assist in shopping, or schedule appointments directly from the email platform.
  8. Visual Recognition: AI can now analyze images within emails. This allows for personalized product recommendations based on images users interact with.
  9. Interactive Content: AI-driven interactive elements, like quizzes or polls, are being embedded in emails. These enhance user engagement and provide valuable feedback.
  10. Behavioral Triggers: Emails are now sent based on user actions. For instance, browsing a product might trigger a promotional email, making marketing more responsive and timelier.
  11. Enhanced Analytics: Beyond open and click rates, AI provides deeper insights. It analyzes how long emails are read, which sections engage users most, and the effectiveness of calls-to-action.
  12. Spam Filter Evasion: AI tools craft emails that avoid spam filters, ensuring they reach the recipient’s inbox and aren’t lost or overlooked.

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Steps for Choosing the Right AI Powered Email Marketing Platform

Selecting the right AI-powered email marketing platform is crucial for optimizing campaigns and achieving desired outcomes. Here’s a comprehensive guide to assist businesses in making an informed decision:

  1. Define Your Goals: Before exploring options, outline your email marketing objectives. Whether it’s increasing open rates, personalizing content, or automating campaigns, clear goals guide your platform choice.
  2. Budget Consideration: Determine your budgetary constraints. While some platforms offer advanced features, they might come at a premium. Balance between cost and features to ensure value for money.
  3. Ease of Use: Opt for platforms with intuitive interfaces. A user-friendly design ensures seamless campaign creation, management, and analysis without steep learning curves.
  4. Integration Capabilities: Ensure the platform integrates easily with your existing tools and systems, such as CRM, e-commerce platforms, or analytics tools. Seamless integration enhances data flow and campaign efficiency.
  5. Personalization Features: Check for AI-driven personalization capabilities. The platform should analyze user behavior and preferences, allowing for tailored content creation and delivery.
  6. Automated A/B Testing: The platform should offer automated testing of email variants. This ensures optimal content, design, and timing for your campaigns based on real-time data.
  7. Reporting and Analytics: Comprehensive analytics are vital. The platform should provide insights beyond basic metrics, delving into user engagement, content effectiveness, and predictive analytics.
  8. Scalability: As your business grows, your email marketing needs will evolve. Choose a platform that scales with your growth, accommodating larger email lists and more advanced features.
  9. Security and Compliance: Ensure the platform adheres to data protection regulations and offers robust security features. This protects both your business and your subscribers.
  10. Customer Support: Opt for platforms with reliable customer support. Whether it’s technical issues or campaign advice, prompt support can be invaluable.
  11. AI-driven Recommendations: The platform should offer product or content recommendations based on user behavior. This enhances email relevance and boosts conversion rates.
  12. Behavioral Triggers: Automated emails based on user actions, like cart abandonment or product browsing, ensure timely and relevant communication.
  13. Feedback Mechanisms: Platforms with built-in feedback tools, such as surveys or polls, provide valuable insights directly from subscribers, aiding campaign refinement.
  14. Community and Reviews: Research user reviews and community feedback. Real-world experiences provide insights into platform performance, reliability, and effectiveness.
  15. Trial Periods: Opt for platforms offering trial periods or demo versions. This allows you to test features and gauge platform suitability before committing.

Conclusion

In the digital age, leveraging AI-powered email marketing platforms is essential for businesses. By meticulously selecting the right platform, companies can optimize campaigns, enhance user engagement, and achieve superior results. It’s a strategic investment that promises significant returns in the ever-evolving world of email marketing.

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New Research from Getty Images Shows that Visual Representation of Asian Communities in APAC Advertising Remains Stereotypical

By
Globe Newswire
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0
New Research from Getty Images Shows that Visual Representation of Asian Communities in APAC Advertising Remains Stereotypical

  • Getty Images’ research revealed most popular visuals for Australasia, Japan, Southeast Asia, Hong Kong and Taiwan continue to rely heavily upon stereotypical, inauthentic imagery representing various communities.

  • Despite Asia-Pacific’s extensive span of cultures and demographics, there is limited diversity in imagery. Representation gaps range from disparities in depicting cultural specificities, to limited portrayals of Asian working life, among others.

  • Getty Images today launched the “Inclusive Visual Storytelling for Asian Communities” report to support brands and businesses in APAC as they endeavor to be more inclusive in visual choices.

Getty Images, a preeminent global visual content creator and marketplace, launched “Inclusive Visual Storytelling for Asian Communities” report to help brands expand and deepen Asian narratives. This guidance is a result of Getty Images’ ongoing global research initiatives, revealing that visual representation of Asian communities in Asia-Pacific (APAC) advertising remains stereotypical.

Powered by insights from Getty Images’ VisualGPS research, the guidelines informed that less than 10% of most popular visuals for Australasia, Japan, Southeast Asia, Hong Kong and Taiwan accurately represent Asian people and their lived experiences. Instead, most used imagery tends to lean heavily towards perpetuating common stereotypes: depicting Asians as youthful, slender, possessing lighter skin tones, and predominantly portrayed in work-related contexts. Furthermore, popular visuals remain similar in their underlying messages, styling, and emotion: often overly happy, and with little to no connection to each culture.

According to these guidelines, 4 out of 5 consumers across APAC agree that simply increasing the representation of individuals from diverse ethnicities, backgrounds, and appearances within advertising and media is insufficient, stating that companies also need to do a better job at capturing people’s true lifestyles and cultures. Strikingly, 3 out of 5 also said to feel they have been discriminated against based on body size, lifestyle choices, race, ethnicity, gender identity, disability, and sexuality. These findings underscore the imperative for the media and advertising industry to not only recognize the intricate diversity and multidimensionality inherent in Asian cultures, but also to align with consumer expectations in delivering authentic and meaningful portrayals of Asian identities.

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To provide a comprehensive guide to visual storytelling centered on Asian communities, Getty Images’ new guidance encompasses various aspects of their identities, passions, and lived experiences, such as age, body, culture, disability, gender, gender identity and sexual orientation, profession, race and ethnicity. By presenting a robust spectrum of perspectives, the guidelines supply media and advertising professionals with practical and applicable insights, serving as visual checkpoints and equipping them to enrich Asian visual narratives within their brand communications.

“Despite the region’s diversity, everyday images and videos that aim to capture Asian experiences often fall short, perpetuating harmful stereotypes or missing the mark entirely. This misrepresentation and underrepresentation in TV shows, social media and advertising has led to significant gaps in consumers’ understanding of the region’s realities,” said Yuri Endo, Creative Insights Manager at Getty Images. “By sharing these guidelines, the report takes a significant step towards helping brands serving APAC customers promote accurate and respectful portrayals of Asian communities, ultimately contributing to a more inclusive and equitable visual landscape.”

Some of the identified representation gaps made visible in the report that are specific to APAC include disparities in depicting cultural specificities, underrepresentation of older adults, a lack of diversity in gender representation, limited portrayals of Asian working life, a prevailing preference for Eurocentric beauty standards and body types, an absence of individuals with disabilities, among others.

Delving into the nuances of diversity, equity, and inclusion (DE&I), the “Inclusive Visual Storytelling for Asian Communities” report, includes insights applicable across APAC, but also incorporates detailed insights into the local landscapes of Australia & New Zealand, China, Hong Kong, India, Indonesia, Japan, Malaysia, Taiwan, Thailand, Singapore, and South Korea. Each country chapter provides local research about population demographics, imagery trends, underrepresented areas of diversity, and actionable strategies to combat stereotypes and promote inclusive representation.

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Springbrook Releases New AI Powered Customer Support Help Desk

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Springbrook Software, the leader in cutting-edge ERP platforms for local government agencies, has released a new modern AI-powered customer service solution: HelpDesk AI. The Springbrook HelpDesk AI empowers customers with lightning-fast access to vital product information, expediting their requests. This dynamic solution provides access to an extensive knowledge library covering all Springbrook Enterprise ERP modules, spanning Finance, HR, Payroll, Utility Billing, Payment Solutions, Tax Collection, Reporting, and Advanced Capital Budgeting.

Springbrook’s HelpDesk AI harnesses ChatGPT technology and taps into Springbrook’s immense product content library, packed with terabytes of video and textual resources.

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“We are committed to providing our customers with the most advanced and easy to use solutions to address their everyday needs. Utilizing Artificial Intelligence in customer service takes us one step further in making our customer’s works easier. Our new HelpDesk AI continually evolves through each customer interaction, fine-tuning its content delivery. Expect more groundbreaking technology like this across our Cirrus cloud-based finance ERP platform,” says Robert Bonavito, Springbrook CEO.

Springbrook’s HelpDesk AI boasts adaptive learning capabilities, expertly guiding customers to the right content using a series of questions and prompts. Backed by thousands of hours of customer service interactions, this solution is primed to handle virtually any request for training, guidance, or product details.

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New Survey Reveals Engineer Preferences in Marketing Interactions

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Elektor

TREW Marketing and Elektor have joined forces to provide never-before-seen insights about marketing to engineers and particularly technical buyers in Europe. The report, “Decoding Engineer Preferences,” provides a new, comprehensive analysis of engineer preferences and technical buying behavior. It will be supported with an exclusive webinar on November 9, 2023 (16:00 CET).

The report offers need-to-know information for anyone marketing to engineers. Readers will benefit from unique and practical insights about how engineers interact with things like paid search ads, their preferred sources of information, and the types of content they find most valuable for work-related purchases. This cooperation between TREW Marketing, the US-based leading experts in engineer engagement, and Elektor, Europe’s leading engineering community, truly offers the best of both worlds — highly useful research from a relevant and representative group of more than 1,200 technical buyers in Europe.

The November 9 webinar will be hosted by Erik Jansen, Managing Director of Elektor, and Wendy Covey, CEO of TREW Marketing. Together, they will present the highlights of this European-focused survey, and Wendy Covey will also offer some insightful comparisons to the State of Marketing to Engineers research released earlier this year. In one hour, Covey and Jansen will share results, highlight both similarities and differences, and provide attendees with a holistic view of engineer preferences when marketed to.

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Some first highlights from the survey include:

  • 58% of engineers avoid paid search links when searching online, but 29% will click if the paid link appears helpful.
  • Technical publications (online) and supplier/vendor websites are the primary sources engineers turn to when researching products.
  • Datasheets (86%) are overwhelmingly named as the most valuable content in decision-making, before Technical Articles (60%) and Product Reviews/Testimonials (50%).
  • On a scale from 1 (no trust) to 10 (complete trust), engineers rate their trust in AI-based tools at 4.14.).

The webinar will also feature an interactive Q&A session where attendees can engage with the experts and dive deeper into the survey findings.

“We’re thrilled to use our unique market position to share these insights with our community and clients,” said Jansen. “Collaborating with the experienced team at TREW Marketing has not only added immense value to the report but has also been a rewarding experience for the Elektor team.”

“Understanding engineer preferences is pivotal for businesses looking to tailor their marketing strategies effectively,” Covey added. “This collaboration allows us to offer a global perspective on engineer behavior, empowering businesses to make informed decisions and strengthen their marketing efforts.”

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Grammarly Defies the AI Hype with Significant Business Impact, Deepens AI Support for Enterprises

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Grammarly and Harris Poll Find Using Generative AI for Communication Could Save Up to $1.6 Trillion Annually in U.S. Productivity

Businesses already report results like saving 19 working days or ~$5K per employee per year with Grammarly; now the company doubles down on enterprise AI by adding personalized voice capabilities and making its generative AI features generally available

Grammarly, the company helping over 30 million people and 70,000 teams work smarter and faster wherever they write, announced several updates to its enterprise AI offerings, including new personalized voice profiles to produce text that sounds like the user and the general availability of its generative AI features. Grammarly is seeing growing enterprise demand as the only AI writing partner that works across a company’s apps and tools, understands their unique context, and doesn’t compromise security and privacy.

“I used to spend 20-30 hours a week reviewing, rewriting, and coaching”

People at 96% of the Fortune 500 and teams at leading enterprises such as Atlassian, Zoom, Databricks, Expedia Group, Expensify, and Siemens are getting results with Grammarly. Businesses report Grammarly saves them an average of 19 working days—an estimated $5,000+—per employee per year. For a company of 1,000 employees, that’s over $5.1 million in annual savings and over 17X return on investment.¹

“While other companies jump on the AI hype, we’ve been building AI solutions and delivering real results for our customers for over 14 years,” said Rahul Roy-Chowdhury, CEO of Grammarly. “Just imagine what four weeks of time saved per employee per year could do for businesses: higher productivity, better results, faster growth—the possibilities are limitless. With extended access and functionality in our generative AI features for businesses everywhere, they can now scale their use of AI to get increased value from Grammarly.”

Grammarly is expanding the limits of enterprise-grade AI by announcing:

  • Personalized voice detection and application, addressing the problem of AI-generated text sounding robotic or impersonal. Grammarly will automatically detect a user’s unique writing style and create a personal voice profile describing how they sound to their audiences. They can then rewrite any generated text in their voice with one click. Grammarly continuously adapts to the user’s preferences over time, capturing elements such as tone and stylistic choices. The capabilities will roll out to all Grammarly Business customers by year’s end.
  • General availability of its generative AI features for all businesses, educational institutions, and individual users following a successful beta release. Users are creating over 12 million pieces of content weekly with Grammarly’s generative AI features, relying on them for everything from kicking off first drafts and ideas, to quickly tackling pings and emails, to rewriting text to be just the right length and tone. In addition to its new personalized voice capabilities, Grammarly listened to customer feedback during the beta to add new and enhanced functionality, including:
    • Enhanced Grammarly’s “Improve It” prompt with greater context and quality to rewrite text more effectively
    • Added a description of how Grammarly improved the user’s text so they understand why it was changed
    • Improved integration of user context and past prompts to generate even more relevant output
    • Added prompt history so users can pick up where they left off
  • General availability of its Knowledge Share feature for all business customers. Knowledge Share surfaces relevant company documents, definitions, and key contacts in-line where employees work, so they don’t have to waste time searching for information.
  • Increased prompt usage limits for Grammarly Business customers to scale their use of Grammarly’s generative AI features, including:
    • Unlimited prompts for Enterprise customers
    • 2,000 prompts for Team and Grammarly for Education customers

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Delivering Real Business Results with AI

Businesses across industries and functions are using Grammarly to cut down on routine work, reduce costly miscommunication, and get better work done faster as the company delivers on its vision to power the AI-connected enterprise. Eight of the top 10 business services companies, 7 of the top 10 manufacturing companies, and 4 of the top 5 telecoms companies have teams using Grammarly Business.

Across industries, Grammarly is especially seeing strong impact among functions like customer support, marketing, and sales as they tap its AI to create higher-quality content and communications faster. Results seen using Grammarly Business include:

  • Boosts customer satisfaction scores (CSAT) by 17%, halves the rate of escalations, and improves time to resolution by 25% in customer support
  • Cuts editing time by 60% in marketing
  • Improves brand voice compliance by 71% and reduces email writing time by 52% in sales
  • Takes an average of one day to implement for IT

ModMed, the fast-growing healthcare software company, is using Grammarly to amplify innovation in the highly regulated healthcare industry—saving over 12 working hours a month per employee. “We see Grammarly as one of those essential innovation tools that lets us do our jobs better,” said Daniel Cane, CEO of ModMed. “One of the best features of Grammarly is that it has generative AI built-in. I use its generative AI to help develop concepts and rough drafts. Then, as I author my document, Grammarly ensures everything is clearly and concisely conveyed.”

Databricks, the Data and AI company, is using Grammarly to scale content production with consistency and efficiency—improving brand compliance by 71% and reducing time spent on editing marketing content by 50%. “I used to spend 20-30 hours a week reviewing, rewriting, and coaching,” said Neil Hamilton, Head of Editorial at Databricks. “Grammarly Business has cut that by at least half, and that’s allowed my team to scale without scaling.”

OneSource Virtual, the leading provider of Workday services, is using Grammarly to create and refine internal documents and customer communications—saving time and driving customer satisfaction. “OneSource is all about delivering an exceptional customer experience, and sometimes we need a way to get started,” said Michael Roseman, Chief Operating Officer of OneSource Virtual. “Grammarly’s generative AI makes it easier to kick off and refine our writing, saving us tens of thousands of hours. I personally love how it converts my bullet-point meeting notes into succinct written communications.”

Trusted AI Designed to Outlast the Hype

Unlike other solutions, Grammarly works across more than 500,000 apps and websites, so users aren’t restricted to a single suite or have to switch to another tool. Companies can scale their use of Grammarly knowing they have a trusted partner with long-standing expertise in security, privacy, and responsible AI. Grammarly has the most comprehensive enterprise-grade certifications and compliance of any AI writing assistance company, such as SOC 2 (Type 2), ISO, HIPAA, GDPR, and CCPA. The company never sells customer data or lets any third parties store or use it to train their models.

Grammarly’s latest developments come on the heels of recognition from industry experts. Grammarly was named in multiple 2023 Gartner® Hype Cycle™ reports this year, including for Artificial Intelligence² and Midsize Enterprises.³ Customers also ranked Grammarly as the top AI Writing Assistant in 14 Fall Grid® reports by G2, the world’s largest B2B software marketplace.

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Sinch Expands the Mailgun Product Suite with Mailgun Optimize and Mailgun Validate to Transform Email Deliverability

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Sinch Expands the Mailgun Product Suite with Mailgun Optimize and Mailgun Validate to Transform Email Deliverability

Sinch, which powers meaningful conversations between businesses and their customers through its Customer Communications Cloud, announced that Mailgun Optimize, the first deliverability solution built on an email sending platform, and Mailgun Validate, the fastest and most accurate address verification solution, are now part of the Sinch Mailgun product suite. Mailgun is an industry leader in email delivery, with over 400 billion emails sent every year for the world’s biggest brands and technology providers. The expanded product suite improves every part of the email management lifecycle, all through one integrated platform and global Super Network, versus relying on piecemeal third-party solutions that lack insights at scale.

Email deliverability is extremely complex and poised to become even more difficult with upcoming policy changes from major inbox service providers. Following a dramatic increase in email volume that started in 2020, Google and Yahoo! will implement increased identity validation and other spam-prevention requirements for high-volume senders, matching established best practices such as DMARC, SPF and DKIM. Reaching users will be harder than ever, making sender reputation and strong deliverability practices the keys to successfully driving ROI. Mailgun Optimize and Mailgun Validate work seamlessly with Mailgun Send to bridge the complexities of delivery and deliverability, ensuring emails are reliably sent and landing in the primary inbox.

“Mailgun takes the guesswork out of reaching the inbox, setting the stage for unmatched ROI for every email sent,” said Daniel Morris, Chief Product Officer, CPaaS, at Sinch. “By bringing together Mailgun Send, Optimize and Validate into a single platform, we are now the most reliable, scalable, and impactful email solution for enterprise brands and innovative technology companies.”

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A 2023 Forrester Consulting Total Economic Impact™ Study found that for a composite organization of customers interviewed, the three-year incremental impact of using Mailgun for sending and deliverability was $627,000 due to 20.6 million additional emails being delivered and opened. Mailgun found that deliverability customers have a 97.4% average delivery rate, significantly outperforming the industry average of 84.8%, with bounce rates dropping to just 0.42% and open rates increasing by upwards of 21%.

Introducing the Mailgun Product Suite

Mailgun Optimize, formerly known as InboxReady, maximizes inbox placement by helping customers build and maintain their sender reputation while avoiding disruptions like blocklisting with advanced monitoring, reporting, and visualization. While Optimize is email service provider (ESP) agnostic and can be used on any platform to get actionable deliverability insights, leveraging it as part of the full Mailgun solution unlocks added benefits such as:

  • Automatically integrated Microsoft SNDS IP data
  • Real-time bounce classification
  • Simplified inbox placement testing
  • Expanded spam trap monitoring

Mailgun Validate verifies email addresses on demand to ensure customers are protecting their reputation by sending to the cleanest list possible. Validate uses real-world send data, rather than broken SMTP handshakes, combined with an industry-leading proprietary process for more reliable results. This multilayer verification approach includes MX record validation, grammar and typo checks, domain analysis and more.

Mailgun Send empowers businesses to send, receive and track emails effortlessly. Built by developers for developers, Send makes integrating a world-class cloud sending infrastructure easy through our RESTful email APIs, maintained SDKs and global compliance policies. With 99.99% server uptime and 24/7/365 support, even the largest enterprises can build impactful customer experiences on their terms.

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Threedium Secures $11 Million Series A Led by Interpublic Group To Revolutionize High-Fidelity 3D Commerce

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Threedium’s 3D technology brings hyper-personal and life-like AR experiences to luxury brands

Threedium, market leader in 3D/AR high-fidelity assets that’s changing the face of e-commerce on web and mobile, announces the close of its Series A funding with $11 million investment. The round was led by Interpublic Group (NYSE: IPG) and Olma Partners with additional support from Mesh Consensys, Reflexive Capital, Nirvana Family Office, Lyra Ventures, Edenbase, and Kinisis Venture Fund I. Web3 Studios served as the exclusive financial advisor for this transaction. The funds will drive the progression of spatial computing and 3D content production on the web. It will also be used to deepen R&D into AI to further enhance efficiency of 3D models and extend the company’s growth by bringing immersive storytelling to more global brands.

“We’re setting the benchmark for 3D on the web, with a omni-channel solution that allows brands to seamlessly disperse assets across all channels, files and agencies, integrating with various workflows and spotlighting 3D technology as a pivotal tool to stand out in modern e-commerce”

Building trust with consumers has never been more important, with a surplus of choice, e-commerce fakes on the rise and at a time when consumer spending is low. Threedium’s proprietary 3D and AR engine, Unlimited3D has the highest fidelity 3D assets across web and mobile, with real-time customizable AR. This enables any B2C brand or LVMH retailer across fashion, gaming, automotive CPG and more, to display their goods as hyper-realistic 3D assets, allowing customers to interact with the product, zoom in or out, see it from any angle, try it on, change the color, size or material before committing to purchase -right from the browser, with no friction of downloading an app.

Mike Charalambous, Co-founder and CEO of Threedium explains, “The world of static 2D e-commerce is becoming archaic. User behavior is evolving and brands striving for distinction recognize the need to meet consumer demands for enriched, customizable experiences on the spatial web. This new round of investment reinforces the trust investors place in our mission to revolutionize digital landscapes, equipping businesses with engaging and immersive capabilities.”

Threedium offers more than just the highest quality foundational technology for 3D/AR experiences. Through its own engine or API’s it allows for full autonomy and creativity in crafting, customizing, and scaling thousands of bespoke 3D assets and turnkey 3D solutions seamlessly across web, mobile, and digital media channels. Its scalability and cross-channel capabilities mean that 3D models don’t need to be reformatted for different online customer facing channels, helping CMO’s & brand managers cut down on their non-working spends for content production, in-store activations, or gaming initiatives. It’s also the only 3D company to have developed a proprietary file format, .TUF, to block AI & web theft of 3D files, rather than other open-source platforms that put IPs at risk.

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Threedium’s recent funding round highlights heightened interest in 3D and AR technology, indicating industry momentum towards an immersive web.

“With this alliance, we gain access to an invaluable team with the expertise to unleash the full potential of 3D and AR technology, which combined with the incredible creative and production capabilities already offered by McCann Worldgroup and our production agency Craft, provides a unique and powerful value proposition for our clients,” said Kate MacNevin, Chief Operating Officer, McCann Worldgroup, IPG’s creative agency network.

“We’re setting the benchmark for 3D on the web, with a omni-channel solution that allows brands to seamlessly disperse assets across all channels, files and agencies, integrating with various workflows and spotlighting 3D technology as a pivotal tool to stand out in modern e-commerce,” said Dusan Odobasic, Chairman and Chief of Technology at Threedium. “The lines between online and instore shopping are blurring and AR is becoming the norm in every omni channel product-buying experience. Those that don’t take notice will get left behind.”

Brands such as Louis Vuitton, Fendi, Bulgari, LOEWE, Girard Perregaux, Tommy Hilfiger, Diageo, and NuOrder Lightspeed and are already making use of these enhanced digital immersive experiences on the 3D web, allowing consumers to gain confidence in the buying experience for luxury items such as diamonds and negate the need for manufacturing inefficiencies or delivery of multiple samples for brands.

“Threedium’s immersive 3D tech allows forward-thinking brands to achieve cost savings, demonstrate their commitment to sustainability, and help buyers better visualize the products they are buying by replacing sample images with detailed interactive 3D on the web,” said Dipak Pandya, Head of Product & Tech, Lightspeed POS.

The company is also forging strategic alliances with global tech giants AWS, Salesforce, NVIDIA and Teads who will use Threedium’s API’s and infrastructure services to offer their customers high-fidelity 3D and real-time customization AR experiences.

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Aprimo Leads Next Generation of Collaboration with Groundbreaking AI-Powered Innovations

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Aprimo continues to push AI boundaries and drive digital asset management innovation, while prioritizing safety, security and value.

Aprimo, the leader in digital asset management and marketing resource management solutions, is helping to define the next generation of collaboration through the seamless integration of artificial intelligence across its offering. The company has unveiled a range of innovative features that not only demonstrate a visionary approach to the future of content operations—but also offer practical benefits for companies today.

“Aprimo is leading in strategically integrating AI features that significantly improve the content lifecycle. This pragmatic approach empowers businesses of all sizes to advance into a future characterized by enhanced collaboration and innovation.”

“AI has moved beyond being a buzzword, now serving as a transformative force driving business evolution and enhancing customer interactions,” said Erik Huddleston, chief executive officer of Aprimo. “Aprimo is leading in strategically integrating AI features that significantly improve the content lifecycle. This pragmatic approach empowers businesses of all sizes to advance into a future characterized by enhanced collaboration and innovation.”

A pivotal element of this journey is the launch of Content Collaboration, a paradigm-shifting addition to digital asset management (DAM) that redefines traditional collaboration within content creation workflows. At its core are Collaborative Rooms, seamlessly integrated within DAM, fostering effortless collaboration among users. These ad-hoc rooms provide an ideal environment for creative brainstorming and team ideation, enhancing content creation workflows.

Aprimo’s AI Content Coach utilizes the user’s library of assets as a learning model, swiftly training and updating GPT frameworks. It tailors brand-aligned content for marketing channels and customer segments, facilitating quick access to product/service information across departments. The tool generates content variations in tone, language, and audience for a versatile content creation solution. Aprimo’s innovations include near-term plans to enable customers to invite a Content Coach to a Collaborative Room.

In addition to Content Collaboration and AI Content Coach, Aprimo has issued successful releases of multiple practical, purpose-built features, including Smart GPT Document Tagging, Smart GPT Text Fields, Smart Tag Trainer and Smart GPT Video Summaries – each playing a vital role in streamlining content management, ensuring digital assets are tagged, structured and presented effectively. All together, Aprimo’s comprehensive suite of features empower businesses to enhance their content operations, making content more accessible, manageable and engaging, thereby optimizing productivity and customer engagement.

Importantly, Aprimo has also been a leader in content governance. An active member of the Content Authenticity Initiative (CAI), the company has introduced AI Content Detection. Identifying AI-generated content is vital to managing and governing it effectively. AI Content Detection automatically identifies AI-generated content from popular AI engines. This detected content can then be connected to automated review workflows, significantly lowering the risk that AI-generated content will be released without human review.

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Looking ahead, Aprimo is actively unveiling transformative AI releases, including:

  • Personalization: Enhancing customer engagement through highly personalized content suggestions, tailored to individual preferences and behaviors.
  • Predictive Analytics: Utilizing AI to forecast content trends, enabling proactive adaptation of content strategies for optimal outcomes.
  • Real-time Language Translation and Localization: Instantly translating and localizing content with the help of AI, breaking down language barriers and facilitating global collaboration.
  • Advanced Security Measures: Implementing AI-driven security protocols to safeguard sensitive content and ensure compliance with data protection regulations.

“Aprimo’s AI features have added real, practical value for us, saving money and time,” said Shauna Lallatin, digital asset coordinator for Plaid Enterprises, one of the world’s largest, most diverse manufacturers of creative do-it-yourself products. “Among its benefits, AI increases the searchability of our assets. The system reads product labels in images, PowerPoint, PDF, Word and Excel documents to add to the information included in the metadata we enter to allow a single search to pull up all related information. Our assets are quickly findable and available as soon as they are uploaded.”

Said Huddleston: “Generative AI is driving foundational changes for content operations. Aprimo is committed to ensuring our customers can capitalize on the tangible business benefits of AI and will continue to push AI boundaries and drive content management innovation, all while prioritizing safety and security.”

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New Merkle Report Predicts Significant Growth for Retail Media Networks Despite Conservative Consumer Spending Projections

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Buyers Demand Visibility and Transparency: New Merkle Report Predicts Seismic Shifts for B2B by 2030

Merkle’s latest survey found 91% of retail media networks are expecting to grow over the next three years, but only the ones who leverage data to improve shopper experiences will thrive.

Merkle, dentsu’s leading technology-enabled, data-driven customer experience management (CXM) company, released its annual Retail Media Research Report, incorporating survey findings from retail media networks (RMNs) and brands. The report focuses on the growing RMN landscape and how brands are approaching an increasingly crowded ecommerce market. It also highlights some of the dynamics related to shifting consumer habits driven by inflation and rising expectations.

There is currently a substantial number of RMNs of varying tenures, sizes, and offerings, and most of them anticipate up to 25 percent growth over the next three years. This projected growth is due to the shifts that brands have made in their marketing strategies to combat a challenging economy, including an increased presence on RMNs – oftentimes more than one.

“It’s no secret that RMNs are growing in popularity. In the past year alone, we’ve seen the investment from brands into RMNs spike exponentially, something we can attribute to changing consumer buying habits and expectations,” said Megan Cameron, SVP, Retail Media Network at Merkle. “What’s interesting beyond that is how brands will continue to choose which RMNs they want to work with and how that will impact the overall trajectory of the space. Right now, we’re seeing a boom in the number of RMN options that brands can work with, but the ones that rise to the top will be those who continue to innovate and deliver what brands actually want.”

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According to the report, while almost all RMNs are expecting high levels of growth in the next few years, the most successful ones will help brands leverage data, omnichannel offerings, and partnerships to establish CX and brand loyalty among consumers. As the space becomes more crowded, ensuring RMNs are helping brands to hit those three areas will be crucial. The report also discusses recommendations for both RMNs and brands as they continue laying the foundation for their 2024 marketing strategies.

Additional key findings from the report include:

  • Forty-seven percent of brands want data and insights without media.
  • Four of the top five monetization investment areas for RMNs this year fell outside of onsite media.
  • Onsite media used to reign supreme, but the split between onsite and offsite campaigns in 2023 was almost 50/50.
  • Twenty-five percent of RMNs offered dynamic creative optimization (DCO) to brands as a monetization program in 2023, up from 15 percent in 2022.

The Retail Media Research Report aims to help both RMNs and brands get the best understanding possible of the space to make strategic, informed marketing decisions moving forward. As 2023 comes to a close and plans are made for the year ahead, knowledge, insights, and data are the tools marketers need to drive success in the future.

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AI Policies are Low, Use is High, and Adversaries are Taking Advantage, Says New AI Study

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A new poll of global digital trust professionals is revealing a high degree of uncertainty around generative artificial intelligence (AI), few company policies around its use, lack of training, and fears around its exploitation by bad actors, according to Generative AI 2023: An ISACA Pulse Poll.

AI policies are low, use is high, and adversaries are taking advantage, says new #ISACA AI study.

Digital trust professionals from around the globe—those who work in cybersecurity, IT audit, governance, privacy and risk—weighed in on generative AI—artificial intelligence that can generate text, images and other media—in a new pulse poll from ISACA that explores employee use, training, attention to ethical implementation, risk management, exploitation by adversaries, and impact on jobs.

Diving in, even without policies

The poll found that many employees at respondents’ organizations are using generative AI, even without policies in place for its use. Only 28 percent of organizations say their companies expressly permit the use of generative AI, only 10 percent say a formal comprehensive policy is in place, and more than one in four say no policy exists and there is no plan for one. Despite this, over 40 percent say employees are using it regardless—and the percentage is likely much higher given that an additional 35 percent aren’t sure.

These employees are using generative AI in a number of ways, including to:

  • Create written content (65%)
  • Increase productivity (44%)
  • Automate repetitive tasks (32%)
  • Provide customer service (29%)
  • Improve decision making (27%)

Lack of familiarity and training

However, despite employees quickly moving forward with use of the technology, only six percent of respondents’ organizations are providing training to all staff on AI, and more than half (54 percent) say that no AI training at all is provided, even to teams directly impacted by AI. Only 25 percent of respondents indicated they have a high degree of familiarity with generative AI.

“Employees are not waiting for permission to explore and leverage generative AI to bring value to their work, and it is clear that their organizations need to catch up in providing policies, guidance and training to ensure the technology is used appropriately and ethically,” said Jason Lau, ISACA board director and CISO at Crypto.com. “With greater alignment between employers and their staff around generative AI, organizations will be able to drive increased understanding of the technology among their teams, gain further benefit from AI, and better protect themselves from related risk.”

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Risk and exploitation concerns

The poll explored the ethical concerns and risks associated with AI as well, with 41 percent saying that not enough attention is being paid to ethical standards for AI implementation. Fewer than one-third of their organizations consider managing AI risk to be an immediate priority, 29 percent say it is a longer-term priority, and 23 percent say their organization does not have plans to consider AI risk at the moment, even though respondents note the following as top risks of the technology:

  1. Misinformation/Disinformation (77%)
  2. Privacy violations (68%)
  3. Social engineering (63)
  4. Loss of intellectual property (IP) (58%)
  5. Job displacement and widening of the skills gap (tied at 35%)

More than half (57 percent) of respondents indicated they are very or extremely worried about generative AI being exploited by bad actors. Sixty-nine percent say that adversaries are using AI as successfully or more successfully than digital trust professionals.

“Even digital trust professionals report a low familiarity with AI—a concern as the technology iterates at a pace faster than anything we’ve seen before, with use spreading rampantly in organizations,” said John De Santis, ISACA board chair. “Without good governance, employees can easily share critical intellectual property on these tools without the correct controls in place. It is essential for leaders to get up to speed quickly on the technology’s benefits and risks, and to equip their team members with that knowledge as well.”

Impact on jobs

Examining how current roles are involved with AI, respondents believe that security (47 percent), IT operations (42 percent), and risk and compliance (tie, 35%) are responsible for the safe deployment of AI. When looking ahead, one in five organizations (19 percent) are opening job roles related to AI-related functions in the next 12 months. Forty-five percent believe a significant number of jobs will be eliminated due to AI, but digital trust professionals remain optimistic about their own jobs, with 70 percent saying it will have some positive impact for their roles. To realize the positive impact, 80 percent think they will need additional training to retain their job or advance their career.

Optimism in the face of challenges

Despite the uncertainty and risk surrounding AI, 80 percent of respondents believe AI will have a positive or neutral impact on their industry, 81 percent believe it will have a positive or neutral impact on their organizations, and 82 percent believe it will have a positive or neutral impact on their careers. Eighty-five percent of respondents also say AI is a tool that extends human productivity, and 62 percent believe it will have a positive or neutral impact on society as a whole.

Marketing Technology News: MarTech Interview with Kyle Mitnick, President at Mosaic Digital Systems

SurveyMonkey Announces AI Generated Surveys

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SurveyMonkey announces international availability of AI-generated surveys

The new technology called Build with AI is powered by GPT-3 and 20+ years of SurveyMonkey data and allows users to draft a survey by simply describing the desired survey or goal

SurveyMonkey, a global leader in online surveys and forms, today announced the availability of Build with AI, a new survey creation feature powered by AI research and deployment company, OpenAI. Build with AI, the newest capability in the SurveyMonkey Genius® lineup of AI-enabled features, allows users to create surveys from just a written description, automating and accelerating the survey creation process. Build with AI is available now and is free for all SurveyMonkey users.

“There is one common attribute in most AI-driven applications: speed. While speed is critical in today’s environment, you can’t sacrifice accuracy, especially when you are using AI at work”

With Build with AI, anyone can create tailored surveys and forms in as little as 30 seconds by typing a description of the desired survey or the feedback goal. The feature also offers a selection of prompts for popular feedback and research use cases that can be used instead of self-drafted descriptions for an even bigger head start. Users can then review the automatically generated survey, edit as needed, and send. As organizations continue to see an increase in demand for feedback in a post COVID-19 world, Build with AI allows users in marketing, insights, HR, IT, CX, and more to collect granular feedback even faster.

Marketing Technology News: MarTech Interview with Christian Ferri, Co-Founder and CEO of Web3 Pro

Key capabilities of Build with AI include:

  • Custom survey generation in under a minute based on a user’s unique survey description or by leveraging expert-written, pre-drafted prompts for common use cases
  • Guidance for survey drafting to help users at any expertise level ask the right questions in the right ways
  • Safety features that enable the power of GPT-3 while keeping data secure
  • Support in 50+ languages so surveys resonate with audiences around the world
  • Higher quality insights and increased response rates with clear, easy-to-understand survey questions based on decades of survey data and best practices, no matter how complex the topic
  • Holistic integration with existing SurveyMonkey Genius AI features, which includes AI capabilities across the survey creation, collection, and analysis user experience. By combining SurveyMonkey’s decades of survey experience with AI and machine learning technology, users can build better surveys, gather higher quality data from key audiences, and spot impactful insights faster without needing deep expertise

“There is one common attribute in most AI-driven applications: speed. While speed is critical in today’s environment, you can’t sacrifice accuracy, especially when you are using AI at work,” said Eric Johnson, chief executive officer at SurveyMonkey. “We’ve got one of the world’s biggest survey datasets, and we’re leveraging it to help our users create and deploy methodologically sound surveys that will yield useful insights faster than ever before. Our tools have always helped deliver key insights in a timely manner. Today, we are doubling down on that—employing artificial intelligence combined with the depth and breadth of our proprietary dataset to help people make impactful decisions faster and more frequently.”

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CacheFly Emerges as Premier CDN Choice Amidst Industry Consolidation

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prweb
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CacheFly-Emerges-as-Premier-CDN-Choice-Amidst-Industry-Consolidation

In the wake of major CDN acquisitions by Akamai, CacheFly stands out as the go-to alternative, offering businesses unmatched speed, reliability, and customer-first flexibility. With over two decades of unparalleled service and innovation, CacheFly remains committed to empowering global content delivery.

Amidst industry shakeups and the recent account-level acquisitions by Akamai, CacheFly steps forward as the premier alternative for customers seeking consistent, high-performance content delivery. With several major Content Delivery Network (CDN) providers recently discontinuing CDN service, CacheFly CDN offers a sanctuary of stability, unmatched speed, and unrivaled flexibility.

“For over two decades, CacheFly has been at the forefront of CDN innovation. As recent events have shown, the industry is in flux. However, our commitment to our customers remains unyielding. We believe in a world where content delivery networks drive intelligence and entertainment, and our mission is to make that world accessible to everyone,” says Matt Levine, Founder and CTO of CacheFly.

Marketing Technology News: Optimove Names Shai Frank Senior Vice President to Escalate Growth in The Americas

CacheFly delivers content at speeds 158% faster than other major competitors. While this is one of the ways CachFly leads the industry other factors that set CacheFly apart are equally important.

  • Speed and Reliability: CacheFly is proven to be the fastest CDN, with a 158% faster performance than other major competitors, as reflected in the Cedexis CDN comparison report from August 2023.

  • Customer-Centric Pricing: CacheFly offers a range of pricing options, including a free tier with 5TB of usage per month.
    Customers benefit from flexible, month-to-month billing, ensuring they never pay for service overlap. First-time users can even experience CacheFly’s superiority with a complimentary month of service.

  • Risk-Free Transition: CacheFly provides a seamless transition for businesses considering the switch. With a Risk-Free Switch guarantee, CacheFly assures customers of their superior service without trapping them in long-term contracts.

  • Dedicated Support for Stackpath and Lumen Users: Recognizing the need for specialized support for customers of Stackpath and Lumen; both companies announced the discontinuation of CDN service this fall.

Marketing Technology News: MarTech Interview with Christian Ferri, Co-Founder and CEO of Web3 Pro

New Release from Vyond Unlocks Limitless Possibilities for Video Creation

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New Release from Vyond Unlocks Limitless Possibilities for Video Creation

Latest AI Features Allow for Any Video Element to be Created in a Click

Vyond announced the new release of its award-winning video creation platform. This release brings the power of generative AI inside Vyond, in existing workflows, where and when it is needed the most. Now, any video element imaginable is available at the click of a button.

“Businesses destroy value every day by communicating poorly,” said CEO Gary Lipkowitz. “The capabilities in our new release will help companies create better communication which is actually retained. We’ve essentially made our content library infinite. This means finding relevant content is both fast and easy, which will translate into bottom-line value for our customers.”

“Businesses destroy value every day by communicating poorly”

Vyond customers are experiencing a 400% increase in employee productivity, savings of up to $1M in content creation costs, and up to an 80% increase in content engagement.

Infinite Possibilities for Relevant and Engaging Communications

Vyond’s new AI features allow customers to go from vision to video in seconds. With Video to Action, users can generate a custom character action by simply shooting a video (even with a smartphone) and sending it to Vyond. Text to Prop lets users instantly generate video props from text prompts on demand.

Vyond customer Rance Greene, who is a storytelling expert and author of Instructional Story Design, said, “The characters in my stories need to be good actors. Realistic movement. Genuine emotions. With Vyond’s Video to Action, I can create an endless library of customized actions that bring my stories to life. Now, I’m really in the director’s chair.”

Marketing Technology News: Pictory Enters Strategic Partnership with ElevenLabs to Enhance AI Voice Technology in Video Creation

Vyond now also includes access to over three million images and video clips via a new integration with Shutterstock, and dozens of realistic and expressive voices through an integration with WellSaid Labs. Vyond Go, the AI-powered script and video creation tool introduced earlier this year, now includes support for more than 70 languages.

Improving Accessibility

Addressing customers’ top request for new functionality, Vyond users can now make their videos more accessible. The new release includes Open Captioning in which captions and subtitles can be burned directly into the video. Closed Captioning is extended to include audio transcription and SRT/VTT export.

Vyond is used by 65% of the Fortune 500 to communicate better. While the new release announced today helps make AI work for everyone, Vyond is widely used by training, learning and development, sales enablement, and internal communications teams to increase the relevance, engagement, and effectiveness of their communications.

Patrick Jocelyn, CEO of Omniplex Learning, which is Vyond’s strategic reseller in the United Kingdom, said, “Vyond has been a long-time leader in innovative applications of AI in its product that help companies create engaging and dynamic video. Now imagine being able to develop even more relevant content for the modern learner in every industry, every scenario, every audience. That’s what Vyond has done with this new release. This is a huge step ahead.”

Marketing Technology News: MarTech Interview with Kyle Mitnick, President at Mosaic Digital Systems

Marketing Analytics: Biggest Challenges Marketers Face

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Marketing Analytics is the discipline of gathering, analyzing and interpreting the data that is related to marketing efforts and activities to make informed decisions to maximize the efficiency of marketing strategies. To understand how marketing efforts are performing, how customers are behaving and how various analytic tools are performing marketing analytics are substantial for B2B marketers.

It gives insights about the marketing performance, customer behavior and overall efficacy of the marketing campaigns. The goal of marketing analytics is to measure the impact of marketing initiatives, allocate the resources efficiently and optimize Return On Investment (ROI). Key components of marketing analytics are data collection, data analysis, data visualization, performance metrics and predictive analytics.

What Are Analytics and Dashboards?

Analytics dashboards are visual tools that give an organization’s key performance indicators (KPIs) and vital data a consolidated, real-time perspective. By displaying data in an understandable and interactive style, they are made to assist users in making data-driven decisions.

These dashboards often include a variety of widgets, charts, graphs, and tables that show data from many sources, including databases, spreadsheets, and web services. Users can alter the dashboard to concentrate on particular metrics and information pertinent to their jobs and duties.

 Analytics dashboards offer several benefits:

  • Data visualization: Dashboards make it simpler for consumers to comprehend trends, patterns, and outliers by representing complex data with visual elements like charts and graphs.
  • Real-time Insights: A lot of dashboards are updated in real-time or very close to real-time, giving users access to the most recent information to make decisions more quickly.
  • Centralized Information: By combining data from several sources, dashboards eliminate the need to sort through numerous reports and systems.
  • Interactivity: Users can frequently dive down into specific details, filter information to examine data from various aspects, and engage with the data.
  • Performance tracking: Dashboards are useful for keeping track of how well different parts of a company are performing, from operations and finance to sales and marketing.
  • Goal Alignment: By giving a clear picture of progress towards goals, they aid in aligning teams and departments with organizational goals.

From business and finance to healthcare and education, analytics dashboards are widely used to provide users at all levels with actionable information, encourage data-driven decision-making, and enhance overall organizational performance.

Marketing Analytics is closely related to analytics dashboards:

Because analytics dashboards are tools for visualizing and presenting the data from marketing analytics, they have a strong connection to one another. Analytic dashboards are a user friendly tool that have an interface which displays key metrics and insights in real time.

These dashboards offer snapshots of the marketing performance and hence it helps B2B marketers and decision makers to evaluate the progress, determine the concerns and make timely alterations to their marketing strategies. The relationship between marketing analytics and analytics dashboards can be summarized as:

  • Data gathering and analysis are part of marketing analytics.
  • These dashboards are used by marketers to track marketing performance and gather information.
  • KPIs, analytics, and trends pertaining to various marketing channels, campaigns, and customer categories often appear on dashboards.
  • Analytics dashboards give the analyzed data a visual representation.
  • Marketers may use dashboards to optimize their marketing campaigns based on real-time data and make data-driven decisions.

In short, marketing analytics and analytics dashboards are interrelated components of the broader concept – “data driven marketing”. If you use the analytics dashboards effectively then it will enhance marketer’s ability to leverage marketing analytics insights for better decision making and getting improved marketing outcomes.

Why use analytics dashboards?

The adoption of analytics dashboards is recommended for a number of reasons. Analytics dashboards, for instance, can assist you in taking action based on available, current information Dashboards provide real-time data reporting, analysis, and presentation. On the basis of this recent, accurate data, analysts can take action. Because these dashboards are cloud-based, users may access them from any internet-capable device, including laptops, tablets, and smartphones.

  1. They provide you with a panoramic picture of all analytics data: 41% of organizations, according to Salesforce, claim that their “current system can’t make sense of large volumes of data from different sources.” Dashboards, on the other hand, allow you to compile and arrange all of your pertinent data into a single, practical view.
  2. Fostering Cross-Functional Collaboration Through Dashboard Sharing: Sharing the dashboard with many employees in your business enables cross-functional collaboration and unites everyone. On a dashboard, you may start a conversation about your analysis right next to the charts, or you can use Amplitude notebooks to offer more information and your study’ most important conclusions.

A team communication channel like Slack can be integrated with the dashboard, or you can name specific team members in your comments. Teams can discuss and refine their discoveries through this collaboration, which helps them create excellent products.

Who will use your analytics dashboard?

Everyone from production managers to executives in customer service use analytics dashboards. Their primary goal is to quickly review the metrics that are relevant to their individual tasks. However, these are used by the following:

1. CEOs, CMOs and other senior management personnel:

They employ management dashboards to generate insights from complex data and make strategic decisions. They are mostly interested in knowing who their clients are and how much money they are making now versus last year at this time. Data on overall revenue, average revenue per customer, customer lifetime value (CLV), the number of new customers, and customer acquisition cost (CAC) are all included in revenue dashboards that provide this information.

To improve overall marketing performance, CMOs and marketing executives should use marketing dashboards to track key marketing KPIs through data visualization. To set goals for the future and monitor the effectiveness of campaigns, they use data such as the cost of getting each lead, conversion rates, and more.

Use financial dashboards to gather data such as the operational costs (OPEX) ratio, gross profit margin, net profit margin, and earnings before interest and taxes (EBIT), CFOs and finance executives are advised. They receive a breakdown of all the money the business makes (and spends).

2. Sales Executives:

Sales executives should concentrate on high-level sales data including the volume of sales, sales revenue, most-popular goods, high-value clients, etc. using customer dashboards. This knowledge aids them in developing and putting into practice a successful sales plan to increase revenue and strategies.

3. Product Managers:

Product managers should evaluate their product’s performance using product analytics dashboards. To find out who is using the product, how engaged they are, and how much money the product is making, they combine acquisition, activation, engagement, retention, and monetization information.

4. Marketers:

Marketers use marketing analytics dashboards to monitor metrics at both the top and bottom of the funnel, including conversions, traffic from various sources, the quantity and quality of leads, return on ad spend, content and campaign effectiveness, and more.

What a basic dashboard needs to contain?

Because it depends on the kind of dashboard being designed and its intended application, there is no one size fits all approach to what a fundamental dashboard should include. The following design concepts should be kept in mind when creating a dashboard, and the following questions should be used to determine what should be on it:

1. For what purpose is the dashboard being created?

The dashboard’s target audience must be determined. If you’re designing a marketing dashboard, for instance, your dashboard must have analytics such as conversion rates, campaign ROI, and more. You may create dashboards that fulfill the fundamental needs of their audiences by taking a human-centered design approach.

2. What questions should your dashboard answer?

To choose the reports to put on the dashboard, consider the queries your audience will have. What is the overall revenue from sales, for example, if the dashboard is being created for an ecommerce product manager? What product categories make up the majority of the overall revenue?

3. What is the data source?

Establishing that the data is coming from a trustworthy source must be done before any data is shown on your dashboard. Only reliable data should be on your dashboard. When it comes to data, primary sources are more trustworthy than secondary ones.

4. Does the dashboard tell a story?

When an analytics manager views their dashboard, it needs to read like a story. It should only contain reports that provide a clear, logical flow from top to bottom. By pooling together reports that tell a coherent story, you can extract more meaningful insights from your dashboard. Avoid unnecessary information and be minimalistic in your selection of what data is included in your dashboard.

5. Have you chosen the right type of data visualization?

A column chart or bar chart may be the most appropriate if you’re comparing values. A tree map might be appropriate if you’re trying to visualize hierarchies or relationships. Are percentages of a total being displayed? In that case, a pie chart might be best. Are you utilizing dates? A time series might perhaps be the best option.

By selecting the appropriate sort of visualization for your dashboard, you can make it easier for your audience to understand the data that is being given to them.

Marketing Technology News: MarTech Interview with Christian Ferri, Co-Founder and CEO of Web3 Pro 

6 Examples Of Analytics Dashboards:

A few examples of Analytics Dashboards are given below:

1. Product analytics dashboard

A product analytics dashboard assists product managers in evaluating the success of a product or feature by displaying specific key performance indicators (KPIs) related to product management. Some typical product management metrics include:

  • Acquisition Metrics: Metrics related to user acquisition, such as the number of paid subscribers, 3-month active users, or page/ad impressions.
  • Activation Metrics: Metrics that measure user activation, like the percentage of activated users and the total number of activations.
  • Engagement Metrics: Metrics assessing user engagement, including average daily active users, time spent on the site or app, pages viewed, sessions per user, and metrics related to shopping cart or checkout abandonment.
  • Retention Metrics: Metrics related to user retention, including churn rate, retention rate, or N-day retention.
  • Monetization Metrics: Metrics concerning product monetization, such as monthly recurring revenue (MRR), average revenue per daily active user, customer lifetime value, and cost per acquisition.

Here is a sample Amplitude product analytics dashboard that can be used to track and examine these KPIs.

Product managers can perform cohort analysis or segmentation using product analytics dashboards. Both analyses are performed on user groups that have similar traits, such as those who access the product via mobile devices versus those who access the product via laptops. Product managers can concentrate on the segments or cohorts that matter by using data comparisons between user groups to put things into perspective.

2. Web Analytics dashboard

A custom web analytics dashboard consolidates essential metrics related to your website’s traffic, providing a comprehensive view of key performance indicators (KPIs). This personalized dashboard presents data on:

  • Page views, bounce rate, and pages per session.
  • Achievement of goals, such as form submissions, lead generation, or sales conversions.
  • Performance breakdown by traffic channels and sources.
  • Session statistics for your website or landing pages, encompassing bounce rates and conversion rates.
  • Information regarding the user’s browser or device.
  • Insights into campaign performance, including costs and return on investment (ROI).

By accessing these KPIs through a web dashboard, you can conduct a thorough analysis to identify successful strategies and areas that may require improvement. This empowers you to discontinue ineffective marketing efforts while scaling up those that yield positive results.

3. Digital marketing dashboard

You may monitor the outcomes of each of your digital marketing efforts using this dashboard. On a single dashboard, you can view data on the volume of organic search traffic, PPC metrics, the effectiveness of your email campaigns, and even social media metrics. KPIs in this dashboard include:

  • Cost-per-click, click-through rate, and conversion rate information for a campaign
  • Bounce rates can be used to determine how long visitors stay on your website before leaving.
  • Performance of traffic sources (search engines, social media, paid advertisements, etc.)
  • Conversion rates (sales, subscriptions to email newsletters, etc.)

This dashboard provides you with a bird’s-eye view of your whole marketing funnel so you can determine what is and is not working.

4. SEO dashboard

A custom web analytics dashboard consolidates essential metrics related to your website’s traffic, providing a comprehensive view of key performance indicators (KPIs). This personalized dashboard presents data on:

  • Page views, bounce rate, and pages per session.
  • Achievement of goals, such as form submissions, lead generation, or sales conversions.
  • Performance breakdown by traffic channels and sources.
  • Session statistics for your website or landing pages, encompassing bounce rates and conversion rates.
  • Information regarding the user’s browser or device.
  • Insights into campaign performance, including costs and return on investment (ROI).

By accessing these KPIs through a web dashboard, you can conduct a thorough analysis to identify successful strategies and areas that may require improvement. This empowers you to discontinue ineffective marketing efforts while scaling up those that yield positive results.

5. Ecommerce dashboard

When you operate a website for selling products or services, an ecommerce dashboard becomes a valuable tool for providing comprehensive insights into every aspect of your sales process. This dashboard encompasses key performance indicators (KPIs) such as:

  • The number of ecommerce transactions and trends in ecommerce activity.
  • The total revenue generated from ecommerce sales.
  • Detailed sales data for each product, including the exact quantity sold and the revenue generated by each product.
  • Conversion rates for products based on different marketing channels.

The purpose of this ecommerce dashboard is to offer a holistic view of your ecommerce data, enabling you to identify the most successful products, pinpoint the traffic sources that contribute most to your sales, and determine which marketing channels are the most effective at converting customers. Armed with this knowledge, you can then amplify your successful ecommerce campaigns to drive increased revenue.

6. Social media dashboard

The utilization of this dashboard allows for the monitoring of essential social media Key Performance Indicators (KPIs). This social media reporting dashboard encompasses KPIs that include:

  • The count of likes and followers.
  • The number of impressions, which assess the reach of your content.
  • Metrics related to social engagement, including shares, comments, and clicks.
  • Insights into the most popular posts, analyzing social engagement metrics on a per-post basis.

Given that each social platform has its unique reporting methods, manually tracking this data across multiple social media platforms can be quite a labor-intensive task. Consolidating all this information into a single dashboard significantly simplifies the process of determining which social media sites are providing the best return on your investment.

Biggest Challenges Marketers Face When Setting Up Analytics Dashboards & Why These Dashboards Fail?

Setting up Analytics dashboards is ideal for modern marketing efforts but these bring fai amount of challenges to the table. Some of the biggest challenges which marketers face are with the setting up of analytics dashboards.

  • Data integration and data accuracy: Marketers often have to deal with data from various sources and this data is arrived from email campaigns, social media platforms, etc. Integrating this data in a unified dashboard can be time consuming and challenging. Moreover, whether the data collected and displayed is accurate or not is another challenge. If the data is inaccurate, it can lead to incorrect insights and decisions.
  • Choosing the right metrics: Choosing the most relevant metrics that aligns with the marketing goals is a tricky thing to do and marketers have to filter this through a pool of data and finding what truly matters is not an easy feat.
  • Customizing: Every business and marketing campaign is unique so creating dashboards that are customizable to reflect these differences is challenging but it is essential for getting meaningful insights.
  • Real time data: Many marketers need real time data to make quick decisions and setting up dashboards to provide up to the minute information can be demanding technically.
  • Data Security: As the data is sensitive because customer data is being handled here then securing the data and compliance and adhering.
  • Dashboard Usability: Creating user friendly dashboards that are easily understandable by all the team members regardless of their technical expertise is a significant challenge.

Apart from these there are a few more challenges. Implementing advanced analytics dashboards is expensive especially for small businesses. Then getting the entire team on board who can use the dashboards is also challenging so training and promoting the employees need ongoing efforts.

Dashboards need to be responsive as more mobile devices are introduced in the market so analytics dashboards must be responsive and usable on various screen sizes and its another big challenge. Overcoming these challenges require technical expertise, data management skills and a good understanding of marketing objectives.

The dashboards fail because of the following reasons:

1. The Problem of Stale Data

Imagine you’ve spent time and money on a beautiful dashboard, but by the time your audience sees it, the information is out of date. It’s a frequent error that makes dashboards useless. Fresh, real-time data from analytics should enable quick action. Without it, your dashboard ceases to be a tool for making educated decisions and instead becomes a relic of the past.

2. The Integrity Test

The foundation of analytics trust is transparency. Trust is damaged if your audience is unable to identify the sources of the data or traverse it on their own. Viewers should be able to investigate and comprehend the sources of your data through an excellent dashboard, which functions like a transparent window into your data cosmos. If there is no openness, your audience can doubt the validity of your research.

3. One size does not fit all

When it comes to data, each member of your team has specific requirements. A pre-built dashboard might not be able to accommodate these many needs, giving your audience only a fragmentary understanding. Flexibility is essential. Data should be filtered and customized in dashboards to provide in-depth, position-specific perspectives. Keep in mind that a customized view yields more insightful results.

4. Speed is a must

Speed is crucial in the hectic world of marketing. Marketers are always coming up with new ideas and trying out different technology, channels, and tactics. If the deployment of your analytics project takes months, it could become dated. The answer is to be agile. Adopt strategies that enable rapid deployment and development to stay up with your sector’s rapid change.

The Path Ahead

Follow the best practices listed in this whitepaper to overcome these obstacles and make the most of your analytics dashboards. These tactics will not only give marketing teams a deeper comprehension of the marketing funnel, but they will also highlight areas that might use improvement. With new, open, and adaptable dashboards at your disposal, your marketing initiatives will succeed in a constantly competitive environment.

5 Best Practices to keep in Mind when setting Up Analytics Dashboards:

 Creating efficient analytics dashboards is essential for monitoring key performance indicators (KPIs) and making data-driven choices. Take into account these five recommended practices to guarantee your dashboards provide insightful information and encourage wise decision-making:

  • Clearly define your goals: Prior to beginning the dashboard building process, clearly define your goals and the queries you hope to address. Recognize the objectives of your analytics endeavor and the users of the dashboard. The choice of pertinent metrics and visualizations will be influenced by well defined objectives.
  • Choose Metrics that Are Relevant: Decide on measurements that are consistent with your goals and KPIs. By concentrating on the most important signs, you may avoid data overload. Prioritize metrics that offer useful information and aid in your decision-making. Remember that less is frequently more when it comes to dashboard metrics.
  • Design for Usability: The user experience is crucial. Design a user-friendly and straightforward dashboard layout. Data should be organized logically, labels should be brief, and visuals should be simple to understand. Include filtering and drill-down features to let consumers study data at various granularities.
  • Assure Real-Time or Regular Updates: Making decisions based on outdated information might be detrimental. Create dashboards that show regular updates or real-time data whenever possible. Timeliness is essential, especially in sectors where circumstances change quickly.
  • Implement Data Security and Access Controls: By putting strong security measures in place, you can safeguard sensitive data and ensure data privacy. To ensure that only authorized users may view or interact with particular dashboard components, define access restrictions. This is crucial when dashboards are shared throughout teams or organizations.

You may build analytics dashboards that enable your team to successfully and efficiently make data-driven choices by adhering to these best practices. Remember that creating a dashboard is an iterative process, and periodically solicit user feedback to improve your dashboards over time.

How MOps Teams Can Enable Better Marketing Analytics Practices?

 In order to improve marketing analytics techniques within firms, Marketing Operations (MOps) teams are essential. The efficiency of processes, the use of technology, and collaboration are ways that MOps teams can improve the efficacy of marketing analytics. Here are some tactics MOps teams can use to do this:

  1. Data Management and Integration: MOps teams should make sure that data is combined into a single repository from various marketing systems and channels. This makes it possible to view marketing performance uniformly. Use data hygiene procedures to preserve the consistency and accuracy of your data.
  2. Technology Stack Optimization: Check that the marketing technology stack is optimized and capable of supporting thorough analytics. Find tools that can successfully collect, analyze, and visualize data. For seamless data flow, integrate analytics platforms with other marketing tools.
  3. Standardized Metrics and KPIs: Work with the marketing teams to establish standardized measurements and key performance indicators (KPIs) that support corporate objectives. This guarantees that success is measured uniformly across the board and establishes a foundation for insightful analysis.
  4. Automated Reporting and Dashboards: Develop interactive dashboards and automated reporting systems that offer real-time insights into marketing performance. Teams working on MOPS can schedule routine reports and updates using tools, which will save them time and effort.
  5. Data Governance and Compliance: Create data governance guidelines to guarantee data security, legal compliance (such as GDPR), and moral data usage. To reduce risks, MOps teams should work with the legal and compliance departments.
  6. Training and skill development: Provide marketing staff with training courses on how to use analytics technologies efficiently. improve their analytical and data literacy abilities so they can gain useful insights from data.
  7. Communication and collaboration: Encourage cooperation and communication between the marketing, IT, and MOps teams. In order to address data-related challenges, communicate insights, and align on analytics goals, effective communication channels should be set up.
  8. Performance Optimization: Monitoring ongoing marketing campaigns and activities is essential for performance optimization. Analyze data to find areas that can be optimized and improved. Teams from MOps can work with marketers to create data-driven changes.
  9. Testing and Experimentation: Promote an experimental and A/B testing culture within marketing teams. Refine strategy and tactics based on data-driven insights by analyzing test results.
  10. Feedback Loops: Establish feedback loops where marketing teams can offer suggestions on the data and analytics needs. This guarantees that MOps teams are providing the information and analysis needed for sensible decision-making.

Finally, MOps teams play a crucial role in supporting improved marketing analytics practices by streamlining data processes, making the best use of technology, and encouraging a culture that values data. In order to fully utilize the potential of their marketing data for increased performance and ROI, MOps teams can assist firms by working closely with marketing and other pertinent departments.

Final Thoughts:

Although data is the foundation of marketing operations, its value depends on how well it is analyzed. Marketing Analytics dashboards fill this need by serving as a central hub that collects data and enables more rapid, well-informed decision-making. An essential component of most marketers’ toolkits is marketing analytics.

Its ability to provide marketers with data-driven plans and improve their understanding of consumer behavior is what makes it effective. To analyze the effectiveness of campaigns, understand consumer behavior, and make well-informed decisions, marketers rely on a huge array of data. But because there is so much data available, it can be difficult to glean insights that can be put to use.

Analytics dashboards are useful in this situation. They are priceless resources that assist marketers in streamlining data analysis, gaining deeper understanding, and generating more successful marketing plans. Marketers can track the progress of campaigns and customer interactions in real time because of analytics dashboards, which offer the most recent data. But, following best practices, understanding the challenges and finding the best solution is the key to making most of these Analytics dashboards.

Marketing Technology News: How to Quantify Advertising’s Impact on Revenue

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