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Optable Joins the AWS Partner Network

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An Interoperable Advertising Clean Room Solution Now Available through the AWS Partner Network

Optable, a software-as-a-service (SaaS) data collaboration platform and clean room solution designed for the advertising industry, announced today that it has joined the software partner path of Amazon Web Services (AWS) Partner Network (APN). The APN is a global community of AWS Partners that leverage programs, expertise, and resources to build, market, and sell customer offerings.

Optable empowers publishers with a comprehensive suite of innovative capabilities, including privacy-enhancing technologies (PETs) and data clean room solutions, that permit publishers to collaborate with advertisers and other partners without sharing personally identifiable information (PII) and other proprietary data. With Optable, publishers can enhance and better monetize their advertising offerings through data-driven approaches, and advertisers have a flexible way to leverage and compare first-party data in a privacy-safe manner.

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“Optable is honored to join the AWS Partner Network,” said Vlad Stesin, Chief Strategy Officer and Co-founder, Optable. “Joining this network is a testament to the rigorous standards Optable meets every day for its clients and partners. Becoming an APN partner reinforces our commitment to delivering cutting-edge solutions within the advertising industry.”

“From a data standpoint, AWS is a major player in the media and advertising space, and we now have the ability, directly through Optable, to execute on our full suite of insight-led, data-informed strategies with a truly interoperable solution. I think this is a huge step forward in the future of supporting data collaboration across the digital advertising landscape,” said Mike Nuzzo, SVP, Head of Data Solutions, Hearst Magazines.

As an APN member, Optable joins a global network of 100,000 partners from more than 150 countries working with AWS to provide innovative solutions, solve technical challenges, win deals, and deliver value to mutual customers.

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

Veritonic’s Unprecedented Flexibility & Granularity Enhancements Transform Audio Attribution

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Veritonic's Unprecedented Flexibility & Granularity Enhancements Transform Audio Attribution

Veritonic, the industry’s comprehensive audio analytics and research platform, has unveiled a series of groundbreaking innovations for their audio attribution solution, introducing unparalleled flexibility and granularity for advertisers and brands. With an intensified focus on investing in cutting-edge big data technology, combined with its conversion event logs and intuitive, robust user interface, Veritonic is addressing the escalating demands of the industry and reshaping the audio attribution landscape.

By increasing its investment in robust data tech stacks, Veritonic facilitates campaigns of all scales, effortlessly expanding measurement capabilities while upholding optimal performance, support, and adherence to Service Level Agreements (SLAs). Furthermore, Veritonic’s premium conversion event logs provide clients with unparalleled flexibility and granularity, enabling them to comprehend conversion events and associated impressions throughout. Veritonic’s comprehensive conversion event logs enable their clients to model and analyze various attribution methodologies, assess the impact on conversion rates, identify actionable impressions, uncover geotargeting opportunities, evaluate IP distribution, analyze listener overlap among different campaigns, and more.

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“@Veritonic’s Unprecedented Flexibility & Granularity Enhancements Transform Audio Attribution”

“As data providers, we take great pride and responsibility in ensuring that our audio measurement methodology is sound, understood, and designed in a way that enables us to continuously adapt to the needs of our clients and the demands of the advertising industry at large,” said Scott Simonelli, CEO of Veritonic. “We remain committed to innovating our audio-first solutions to make measuring and optimizing audio campaigns as streamlined, efficient, and flexible as possible.”

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

Humanizing B2B Marketing: What Most Brands Get Wrong

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Your B2B Marketing has the potential to drive deeper impact if it’s humanized in a more strategic manner. With the ton of marketing automation choices available to marketers today, the biggest issue is that many B2B marketing teams end up writing mass mails to prospects who aren’t really in-market for their product or service or, they end up writing to those that genuinely have no interest. While these are two of the common factors that may affect eventual marketing ROI, the other lies in not humanizing the B2B marketing effort or content well.

Mass emails and cold calls that sound scripted or those that look like they haven’t been personalized enough will end up negatively impacting a marketing plan and will lead to churn, with prospects either unsubscribing or marking you as spam.

B2B tech marketers today need to focus more on building real human connections with their marketing plans, this is where humanizing the effort becomes the core of the marketing cycle.

Here are a few key, immediate factors for modern B2B marketing teams to consider in order to get ahead when it comes to humanizing their B2B marketing efforts:

Understand the B2B Market / B2B Tech Market

Today’s prospects in the B2B tech segment are not just spoilt for choice when it comes to choosing from the wide range of SaaS tools openly available, B2B tech marketers need to keep in mind that whoever they are thinking of reaching out to is also being bombarded by marketing emails of their key competitors and every other product out there.

Diving deeper into the actual real-time customer trends and expectations of the market, where personalization is the name of the game is needed, to boost impact, this lies at the core of any successful marketing plan today. Taking it a step forward, ensuring that a marketing outreach does not sound robotic or doctored leads to a better humanization element that can potentially help build better customer bonds for the long term.

When a prospect or customer is in-market for your product or service and when you reach out with a deeper level of personalization, the chances of moving the prospect along the B2B buying journey will be much higher.

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Tap into your Prospect’s FEAR and Emotions

Knowing what titles within a business to reach out to is a primary step for any B2B marketer or technology marketer. Once you have this sorted at the ground level, knowing how to tap into those prospect’s key emotions to create impactful marketing messaging can lead to better humanization.

For instance: If you have an HRTech product that you’re trying to boost market growth for, the target titles within the business would be a lot different than when you’re promoting a martech product. The set of fears or challenges that both these profiles or teams would face is also largely different. Knowing how to tap into those emotions can help B2B tech marketers craft better and more segmented campaigns that yield results faster, a need of the hour especially in a marketplace that is intensely dynamic and competitive.

Remember: Prospects Buy Into a Product or Service when they see Real-Value in it

Gone are the days of mass mailing and sending the same message out to long lists of prospects. Doing this can in fact affect a brand’s domain and reputation.

What modern marketers are meant to focus on now are the strength of their storytelling and how they are able to bring out the true value of the product and service they provide. This again is the basis of a strong humanization effort in which marketers learn to speak to the prospect’s key pain points and challenges by portraying the best of their products and services with backed up data and real-time testimonials.

Humanization is the need of the hour because B2B tech marketers are expected to do more with less today and have to prove actual results that help fuel their brand’s pipeline health and sales efforts.

Vanity metrics don’t cut it anymore and this is what seasoned marketers swear by. At a time when the technology and SaaS marketplace is undergoing major shifts in terms of trends, buying behaviours, consolidation and more: B2B tech marketers are expected to be more in tune with changing demands while working closely on only that which can impact actual company ROI.

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Here’s Why ​​Optimizing for Clicks is Not ​​Optimizing at All

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In the early days of the Internet, advertisers and the platforms they advertised on needed mutually agreed-upon metrics to determine the efficacy of media spend. In the days before e-commerce became huge and for brands that did not sell directly online, cost per impression (CPM) and cost per click (CPC) were simple ways to track campaign flights, identify how advertisers could be charged, and identify campaign success over time.

And whereas CPMs were always treated as a less precise measure (because it only determines whether an ad was on screen, not if the person actually saw and absorbed it, and it influenced their decision-making), CPC was treated as a valuable indicator of intent.

The rise of the mobile environment did nothing to slow this down, as CPC is considered a golden standard. While the sophistication of measurement has increased – through approaches that would measure incrementality, like sales and brand lift – media agencies still embrace CPC despite its obvious shortcomings.

For instance, how many times have you clicked on something erroneously due to large thumbs or by trying to scroll past it – the latter of which demonstrates a 180-degree falsity (something you actively did not care about suddenly registering as interest because of a false click.)

Clicks are no longer the right arbiter of campaign performance, and maybe they never were. But certainly not now, in a mobile environment where it’s way too easy to make mistakes. To many, this is obvious.

And yet, you may be shocked to know many agencies are still optimizing for clicks, which are also often among the most common KPI for many campaigns.

What does that mean? Your agencies and media partners could be unintentionally optimizing your campaign based on noisy signals, and then waiting until the end to decide whether the campaign had any real business impact (e.g., whether it was a success or not). In today’s hyper-competitive world, depending on unclear indicators simply won’t do – the good news is that brand metrics will work hard for your campaigns while in-flight. Brand metrics (like Awareness, Consideration, etc.) can act as both a valuable in-flight signal and an outcome, so you don’t have to wait until the end to find out it needs to be optimized.

There is no doubt; measuring brand performance at the end, instead of during the campaign, is a mistake that doesn’t need to happen.

Many campaigns start with the best of intentions. A collaborative team of creatives, media planners, and executives work hand-in-hand to maximize creative development, audience segmentation, and a carefully chosen media mix – all designed for maximum breakthrough.

But once the campaign launches, too often account managers are beholden to the publisher to understand campaign performance, and their objectives may be misaligned.

Publishers are worried about delivery – many are optimizing to deliver impressions/views and, at most, clicks. But that’s not optimization. Optimization requires an actual lift (brand or sales or otherwise and they may not have all the tools to deliver optimally or may not know how to course correct.)

You may not know, or may not think, agency teams/analytics teams are waiting for the end of the campaign and writing the report, but it’s hurting your branding efforts and shortchanging your ROI.

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It’s worth taking a second to understand where optimization strategies began and where they fall short. The rise of ad servers and programmatic in the 2010s enabled media to be optimized in real-time through online signals like page visits and online sales or conversions.

While campaign optimization works for direct response goals, it’s less effective for branding, if you’re optimizing for less-valuable metrics. The problem is that publishers and advertisers have historically devalued brand signals as being less quantitative because they involve opinion interviews.

Therefore many agencies relegate brand “studies” to a “researcher” interest, something deemed too complicated or noisy to think of as an in-flight performance metric. As such, brand performance signals have been relegated mostly to post-campaign analysis of A/B tests, and positioned against sales measurement.

In addition, if a programmatic campaign is precisely targeted (i.e., constrained) to audience segments, the bidder will favor delivery to this heavily-look-a-liked audience.

This can create a domino effect that can hurt brand performance in the programmatic world. This is where scale is the enemy of precision–the bigger the audience, the less confident you are that the segment represents the people you want to reach. This could lead to less competitive placements in the programmatic auction to people who are outside desirable targets and are visiting lower-value environments. And if the bidder has any room to optimize the buy to better impressions, it will favor signals of intent–clicks and page visits. These are not the tactics that will grow brands.

To recap, the goal of brand media should be to drive brand goals and the best way to make sure that money is well spent is to optimize for those goals throughout.

Now that we’ve established what’s not working, what’s the right approach?

  1. Align measurement with campaign goals. It is more likely than not that your overall campaign goal is sales or brand awareness. If you’re only measuring success by impressions or clicks, there will be a misalignment that will make deriving insights challenging. But remember: remember that sales are lagging indicators for brand media.
  • Set up the campaign correctly. That means you need to identify brand personas and the audience you want to reach and draft a working media plan geared toward delivering the right message to the right audience.
  • Set up your tools. Make sure you have the right tools to monitor and take action on real-time information in-flight. The right tool should allow frequent optimizations and performance indicators to prevent results from fluctuating throughout the campaign.

A common misconception is that you need to wait for statistical significance to make any optimizations. While it’s true that you don’t want to make big changes right away, it’s also true that you can make low-risk optimizations, such as tweaking frequency and the channel mix at the beginning.

At this time, you also want to ensure your programmatic advertising is doing what it should and not going running against cheap or non-brand-safe audiences. Most importantly, share the brand data you have with media partners. If you’re buying direct buys from publications, you can work with them to re-weight the creative, an understated but incredibly valuable optimization that won’t affect your budgets.

They can’t optimize what they don’t know. Once you get more data and feedback, you can do more high-risk optimizations like changing partners, switching creative, or making bigger decisions on which mediums should dominate spend.

All of this is possible if you work with the right partner and continually study the results and assess and reassess. Media budgets are tight, especially with today’s difficult economic conditions. No company can leave success to chance. Remember, clicks don’t always translate to sales (or even greater knowledge of your product or company).

When you optimize your media based on brand signals in flight, you will maximize your brand and sales outcomes, optimizing what happens during the campaign to the original objective.

Marketing Technology News: How Businesses Can Protect Themselves from Account Takeover

The Reviews are In: Online Reviews in the Post-Scarcity Age Get a Thumbs Down

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Outside of getting a recommendation from a trusted friend or acquaintance, what is the first thing someone does before trying out a new restaurant?

They check the reviews.

With the internet at everyone’s fingertips, consumers want assurance that their cuisine preferences, approximate budget, and general vibe they’re looking for will be met. And there’s certainly no shortage of reviews – close to half of all internet users post them regularly.

That wasn’t always the case – user-submitted reviews reflecting points of interest were once much scarcer and required more digital digging to find. In the days before the internet’s ubiquity, word-of-mouth, and occasional published critiques, were the prime sources of insight. As the digital age dawned, early adopters painstakingly crafted reviews on nascent platforms, often providing meticulous insights emulating the long-form reviews of the past that were found in newspapers and guidebooks. But in today’s “post-scarcity” era – an era where opinions on the internet are abundant – anything from a quaint café to a Michelin star restaurant could have hundreds of reviews alongside videos and images of menus, dishes, and seating arrangements. This proliferation undoubtedly provides internet users with more than enough information to find an ideal restaurant.

Perhaps too much.

For instance, with nearly 27,000 new reviews posted to Yelp every minute, the sheer abundance has become unnavigable and is increasingly less helpful, especially without the aid of personalization mechanisms. The rapid proliferation of reviews might also be inadvertently diluting their overall quality. The sheer ease of posting has led to many hastily-written reviews, which may lack the comprehensive feedback once seen when reviews were a novelty.

Therefore, online review platforms that enable users to parse and pinpoint the most relevant information will prove crucial in bolstering user engagement and trust.

The Expectation of Personalization

Personalization – the process of tailoring services, experiences, or advertisements to the preferences of a specific individual – has fundamentally changed the way people shop and consume content. The algorithms working behind the scenes at Netflix, for instance, save users’ time and ups satisfaction by recommending content based on prior watch history. The same principle applies to online shopping.

Indeed, consumers have grown to expect online experiences to reflect their needs. According to McKinsey, 71% expect personalized interactions with companies and 76% feel frustrated when that fails to happen. In addition to driving engagement and revenue, 70% agree that personalization increases brand loyalty.

But when it comes to combing through online reviews for specific information, you’re on your own.

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Navigating the Sea of Reviews

While reading multiple reviews can help users narrow down a decision, skimming through hundreds makes it harder for them to find exactly what they’re looking for, which is usually something specific – a restaurant that serves cold brew, kosher pizza, or vegan Thai peanut noodles, and so on.

Reviews, however, are one of the few pieces of the online puzzle left untouched by personalization technologies. But such technologies could help users navigate the vast sea of miscellaneous reviews and find the information that truly matters to them.

Moreover, with the rise of incentivized reviews — where businesses offer rewards for glowing feedback — the trustworthiness of platforms is under scrutiny. Users now face the challenge of discerning authentic experiences from those that are commercially motivated.

So what can review platforms do to ensure that users don’t have to exert excessive effort to find the most pertinent, trustworthy reviews (or excerpts)?

Instead of relegating users to search bars or keyboard shortcuts, review platforms can grant specificity in one of two ways.

The first is through tagging and filtering tools. These tools quickly cut through the noise and surface the most sought-after information pertaining to the specific, personal interests and needs of the user.

The second is to categorize reviews written by like-minded users. For the person searching for the spiciest taco or the most delicious gluten-free pastry, the best reviews would be written by someone with those same tastes or dietary restrictions. Creating such specific online communities would not only help highlight the most relevant points of interest, but it would also counteract the randomness and anonymity of reviews.

Providing individuals with reviews that align with their personal preferences will enhance the user experience and help businesses connect them with the most relevant places, goods, and services they desire.

Creating a Five-Star Experience

Considering the endless proliferation of online reviews, users must be given the tools to make the most of the information available, which they’ve come to expect in virtually every other realm of the internet.

The potential for personalizing the digital discovery process and connecting consumers with hotspots that resonate with them lies in high-quality, relevant reviews and the tools that retrieve them.

Lastly, in this age of digital skepticism, transparency isn’t just a virtue; it’s a necessity. Review platforms should openly share their mechanisms for ensuring the authenticity of feedback, be it through vetting processes, user verifications, or algorithms that weed out suspicious patterns. This commitment to providing genuine feedback will be the bedrock upon which a truly positive experience is built.

Proactively modernizing reviews will not only enhance the user experience, but also boost ROI for businesses, leaving all involved with a five-star sentiment.

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TechSmith Audiate Launches Generative AI Features For Instant Content Creation

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TechSmith Blog | TechSmith

“Generate Script” and “Generate Audio” Transform Audiate Into Full-Scale Audio Production House

TechSmith Corporation, an industry leader in visual communication and video creation, announces the launch of generative AI scripting and voiceover features in Audiate, the company’s audio recorder and text-based editing solution. The new functionality, Generate Script and Generate Audio, allows creators of all skill levels to efficiently produce comprehensive, near-instant audio projects without a writer or voice actor.

Audiate is the groundbreaking application leveraging AI to generate a transcription from recorded or imported audio or video files so users can edit content as easily as a text document. Building upon its existing AI capabilities, such as the removal of hesitations and fillers (“ums” and “ahs”), Audiate now offers faster speech-to-text transcription as well as generative scripting and audio to transform the solution into a complete audio production house.

New AI-powered functionality in Audiate includes:

Generate Script:

  • Script Creation: Create a script from nothing but an idea by specifying desired length, content type (i.e. business presentation or marketing commercial), and style (i.e. enthusiastic or serious) from a variety of options.
  • Script Summary and Revision: Easily summarize a script to aid with marketing and promotion of audio/video content or instantly rewrite the script to try new concepts.
  • Script Translation: Translate your script into 7 different languages including English, Dutch, French, German, Italian, Brazilian Portuguese, and Spanish.

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Generate Audio:

  • Multivoice Audio Generation: Transform text into studio-quality audio, selecting from over 100 different voices and styles with the ability to adjust their speed and pitch to match your desired audio outcome.
  • Multilingual Audio Generation: Switch audio into 14 different languages and dialects, including English, Dutch, French, German, Italian, Brazilian Portuguese, and Spanish.

“With our new Generative AI features, we want to help our users create professional content in minutes, rather than hours or days,” said Dan Latterner, senior technical product manager at TechSmith. “Audiate can now leverage AI to assist with every step of the creation process, getting you from an idea to a polished result, faster and easier than ever before.”

Alongside its new generative AI technology, Audiate has improved its integration with Camtasia, TechSmith’s award-winning, all-in-one video recorder and editor. The combination of Camtasia and Audiate creates a powerful AI-assisted video editor allowing users to produce video content more than 40% faster than the standalone solution. Audio edits made within Audiate now automatically synchronize and create video edits in a linked Camtasia project. In addition, the Audiate-based transcription can be transferred over to Camtasia for precise video captioning, including traditional closed captioning and new, customizable Dynamic Captions.

Price and Availability

A one-year subscription of Audiate is available now for $199.99 USD from the TechSmith online store and select resellers, or bundled with Camtasia for $379.87 USD. A free, fully functional trial version of Audiate can be downloaded from the TechSmith website. The software interface is available in English, however transcription and audio editing are supported in English, Dutch, French, German, Italian, Brazilian Portuguese, and Spanish.

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Meet Dotti: The Intelligent In-Store Marketing Platform by Imagine

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New platform allows brands to manage visual merchandising and in-store marketing at scale

Imagine, a leading provider of visual communications, introduced Dotti, its intelligent in-store marketing platform. Dotti helps brands deliver retail marketing promotional materials with complete control, visibility, and efficiency, right down to the local level.

In today’s challenging landscape, in-store marketing and visual communications complexity often lead to inefficient processes, redundancies, and waste. With Dotti, managing these all-important programs is seamless. She achieves this through a series of tightly integrated modules built on a single, intelligent platform. The Dotti platform makes the exchange of data and information simple, with features and functionality that talk to each other. Through a series of strategically planned module releases, she will get smarter and more capable over time—easing the challenges of managing in-store marketing programs.

In the first set of module releases, Dotti Shop helps with everything from customizable catalogs, budgets, and user roles to easy asset ordering and distribution to individual store locations. Dotti Print allows for the customization and ordering of localized printed assets.

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“Consumer demands are constantly changing, and brands are challenged to adapt quickly to new requirements. The ability to remain flexible and fast has never been more acute,” says Don McKenzie, Acting CEO and Executive Chair of Imagine. “Our clients have been asking for a single, smart platform that can help them successfully manage in-store marketing assets. Dotti addresses this need at scale, providing efficiency and cost effectiveness. She allows our clients to work smarter, not harder.”

Dotti’s core platform is fully customizable, providing complete control, visibility, and data exchange every step of the way—right down to the local level. Dotti Shop and Print are available immediately. Key benefits include:

  • End-to-End Management: Dotti empowers brands to intelligently streamline in-store marketing and promotional programs from asset ordering to budgets. She ensures every aspect of a promotion is under complete control.
  • Customizable Catalogs and User Roles: Manage and shop assets effortlessly with fully customizable catalogs and user roles, making complex brand and store configurations a breeze.
  • Asset Customization: Dotti brings the convenience of localization and ordering of printed assets to a single smart platform, eliminating the need for disjointed processes.

“Imagine is committed to helping brands simplify in-store marketing programs with intelligent technology,” adds Jeff Eccles, SVP, Information Technology for Imagine. “The Dotti platform is the next evolution of our industry-leading approach to technology. With Dotti, promotion management becomes a strategic advantage, leading to cost savings, better speed to market, and improved market response time.”

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Beyond Surveys: How Level AI Is Reshaping Voice of the Customer Programs with Generative AI

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Artificial Intelligence Solutions for Call Centers | Level AI

Level AI launches GenAI-powered VoC Insights, a new product that turns vast amounts of unstructured contact center data into actionable Voice of the Customer insights in real time

Level AI, a pioneer in advanced AI technologies for customer-facing teams and Gartner Cool Vendor, announced the release of VoC Insights, a groundbreaking generative AI solution set to disrupt the customer experience management landscape — a market sized at $17B — by redefining the way enterprises capture Voice of the Customer (VoC) data.

“We’re thrilled to empower our customers to truly and proactively understand their own customers’ needs without the traditional laborious and intrusive customer feedback surveys”

Traditional VoC programs rely heavily on focus groups, social media scraping, and customer feedback surveys distributed at various touchpoints in the customer journey. However, this approach is resource-intensive, introduces unnecessary friction to the customer experience, is incomplete with low customer coverage, and produces biased and delayed insights.

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Level AI is changing the game with VoC Insights, a turnkey generative AI-powered solution that enables organizations to monitor and visualize real-time trends of customer issues. This powerful tool extracts the essence of every customer-facing interaction across channels — phone, email, SMS, and chat — and intelligently groups these conversations into self-generated topics and subtopics while seamlessly adding new customer concerns as they emerge. Additionally, VoC Insights evaluates the customer sentiment of each interaction, eliminating the need for satisfaction surveys.

“We’re thrilled to empower our customers to truly and proactively understand their own customers’ needs without the traditional laborious and intrusive customer feedback surveys,” says Ashish Nagar, founder and CEO of Level AI. “Our generative AI-powered VoC solution is a game-changer in customer experience management by making the process of identifying customer pain points and areas of improvement effortless.”

With VoC Insights, enterprises can redirect their resources away from survey administration and toward actionable insights provided by generative AI. It’s the simplest path to adopting a data-driven approach to mastering the customer experience.

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Veritone Appoints Michael Zilis to its Board of Directors

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Siteimprove Appoints Kalvin Brite as Senior Vice President of Product to Drive Bold New Product Vision

Veritone Purpose Driven AI for Law Enforcement | Officer

Global technology executive brings global business operations and financial expertise to Veritone

Veritone, Inc., a leader in designing human-centered AI solutions, announced the appointment of Michael Zilis to its Board of Directors (“Board”), effective November 8, 2023.

“As Veritone executes its long-term strategy and embarks on its next phase of disruptive growth, I am thrilled to announce the addition of Michael Zilis as an independent director to our Board,” said Ryan Steelberg, Chief Executive Officer and President of Veritone. “Michael is an accomplished public company executive and dynamic leader who shares Veritone’s mission of delivering highly targeted solutions to help companies unlock operational efficiencies and productivity gains. His financial and international operations expertise will bring a valuable perspective to Veritone’s pursuit to prioritize the needs of our customers while driving value for our shareholders.”

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Mr. Zilis brings over 30 years of experience empowering companies to deliver leading customer and partner experiences globally. Since January 2020, he has served as EVP and Chief Financial Officer at Ingram Micro Inc., a $50+ billion revenue company and one of the world’s largest providers of technology and supply chain solutions. Zilis has been with Ingram Micro for almost two decades, previously serving as EVP and Group President of Asia Pacific, where he led the region’s operations and drove the company’s global expansion strategy, in addition to running other parts of Ingram Micro’s operations from 2012 to 2019. Mr. Zilis also has extensive financial expertise, as he first joined Ingram Micro in 2006 to lead controllership, financial planning and analysis, long-term strategic planning, financial due diligence and merger and acquisitions. Prior to his time at Ingram Micro, Zilis served as Vice President and Corporate Controller at Avnet, Inc. and as a Senior Manager in the Audit Practice at Arthur Andersen.

Mr. Zilis holds a Bachelor of Science degree in finance and accounting from Boston College.

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PureTalk AI Collaborates with Plato AI to Launch Innovative WebApp Empowering Conversational AI

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Puretalk AI, a leading provider of advanced conversational AI solutions, is thrilled to announce its exciting collaboration with Plato, a pioneer in machine learning and AI technology. Together, they are launching a cutting-edge website Widget designed to revolutionize the way websites engage with visitors. This groundbreaking widget, which leverages Puretalk AI’s machine learning capabilities and humanized Text-to-Speech (TTS+) technology, will transform static websites into interactive, conversational platforms.

The new website Widget, aptly named “Socrates,” has been engineered to dynamically learn and adapt to each website’s unique content, providing an unparalleled level of conversational AI engagement. It empowers website owners to enhance the user experience by enabling real-time, human-like interactions with their visitors.

Key Features of Socrates:

Adaptive Learning: Socrates learns the website’s content and adapts to its tone and style over time, ensuring that every conversation is tailored to the site’s personality.Real-Time Interaction: Visitors can engage in meaningful conversations with the website, receiving instant responses to queries, guidance, and more.Humanized TTS+: Powered by Puretalk AI’s TTS+ technology, Socrates provides a natural and lifelike voice for a seamless conversational experience.Easy Integration: Installation is simple, with a user-friendly WordPress widget that requires no advanced technical knowledge.

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“We are excited to partner with Plato to introduce Socrates to the developer community and beyond. This widget empowers website owners to create interactive, human-like conversations with their visitors, resulting in a richer and more engaging user experience,” said Evan Sirlin, CEO of Puretalk AI.

“We feel the opportunity to engage with over 10M+ Developers and 300M+ sites gives us a unique advantage in terms of our deployment strategy. The product drives a new level of authentic, value-driven engagements and allows us to engage with networks like Automattic and Shopify seamlessly.”

Socrates is set to disrupt the way websites interact with their audiences, providing a dynamic and conversational experience that will keep visitors engaged and informed. It is a testament to the power of AI technology when combined with innovation and expertise.  The original release will be in English with more languages to follow soon. The product is currently in private beta and is scheduled for release in Q124.

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Fortune 500 Brands Account for Half of All Ads on Divisive and Fake CTV Content Channels, According to Peer39 Study

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Fortune-500-Brands-Account-for-Half-of-All-Ads-on-Divisive-and-Fake-CTV-Content-Channels_-According-to-Peer39-Study

CTV Benchmark Report Also Finds Nearly 7% of All CTV Impressions Run on Undesirable Content

Connected TV (CTV) advertising is incredibly popular with advertisers as they look to reach audiences that are no longer addressable via linear TV. As advertisers invest billions of dollars in CTV advertising this year, they face myriad challenges that could undermine their investment, including undesirable and unsuitable content.

New research revealed today by Peer39, the leading global provider of contextual suitability and quality solutions for modern marketers, illustrates a fraught CTV landscape where advertisers of all sizes, including the Fortune 500, can be susceptible to advertising on divisive or fake content.

Divisive Content Requires Suitability Strategies
The rapid rise of CTV has led to several channels that lack the editorial oversight of mainstream media. As a result, this content can veer into hyperpartisan political programming or even misinformation. Unfortunately, major advertisers continue to find their ads running next to this programming.

Peer39’s CTV Benchmark Report 2023 finds that nearly half (49%) of all ads viewed on divisive channels over a 10-week period came from Fortune 500 companies. In total, 72 different Fortune 500 brands ran ads on divisive channels over the course of the study.

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The Rise of Fake CTV Content
Another major issue with programmatic CTV is the rise of fake CTV content. These are OTT apps available within marketplaces that label themselves as CTV within programmatic marketplaces but do not fit the standard concept of TV programming. This includes screensaver channels, photo widgets, games, and mobile apps posing as CTV.

Although major advertisers were less likely to advertise on fake content, Peer39 still found that 37% of ads observed came from Fortune 500 brands, with 38 different Fortune 500 brands running ads. Overall, 6.8% of programmatic ad calls that Peer39 sees from more than 50,000 OTT/CTV apps come from these fake CTV apps. Of the more than 50,000 OTT apps that present themselves as CTV content, nearly 10,000 of these qualify as fake CTV content.

When looking at fake and divisive content in aggregate, 45% of the observed ads came from Fortune 500 brands. Based on conservative estimates, brands are wasting hundreds of millions of dollars on low-quality CTV inventory.

“Our research spotlights the most troublesome suitability and transparency concerns that CTV buyers encounter and need to be more aware of,” said Mario Diez, CEO of Peer39. “Fortune 500 brands are running ads on divisive news and other content that doesn’t match the definition of ‘TV.’ Clearly, buyers have a substantial opportunity to remove this wasted CTV investment through a more active and actionable suitability strategy.”

Peer39’s research highlights the need for granular pre-bid data and suitability strategies in the emerging programmatic CTV market. In one instance, a brand running a CTV campaign without appropriate brand suitability controls found that 11% of its impressions ran on fake CTV content. By instituting Peer39’s suitability controls, the brand was able to place 100% of its impressions within suitable content.

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Innovative AI Platform ‘AskRobot’ Unveils a Paradigm Shift in Knowledge Access and Content Creation

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Innovative AI Platform ‘AskRobot’ Unveils a Paradigm Shift in Knowledge Access and Content Creation

AskRobot, the brainchild of a forward-thinking tech startup, is set to reshape the way people access information, create content, and find answers through its advanced artificial intelligence platform. Crafted for a diverse audience, AskRobot serves as a versatile tool for students, content creators, researchers, business owners, coders, and individuals seeking reliable, instant information.

AskRobot’s multifaceted capabilities are poised to modernize conventional methods of information gathering and content creation. This innovative AI platform communicates seamlessly in multiple languages, including English, Spanish, French, German, Russian, Chinese, Japanese, and more, making it accessible to a global user base.

One of AskRobot’s notable features is its capacity to swiftly provide accurate answers to a wide range of questions, streamlining information retrieval for students, researchers, and business professionals.

Content creators can enhance their productivity with AskRobot’s content generation capabilities, enabling the efficient creation of high-quality content across various topics.

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Researchers will benefit from AskRobot’s extensive knowledge repository, simplifying data analysis and facilitating the discovery of valuable insights.

Business owners can leverage AskRobot’s data analysis tools to inform their decision-making process and maintain a competitive edge in their respective markets.

For coders and software developers, AskRobot offers essential support for coding, debugging, and problem-solving, enhancing the efficiency of the development process.

AskRobot’s CEO, Martin Kabaki, expressed their enthusiasm about the platform, stating, “AskRobot represents the culmination of extensive research and development. We are excited to introduce this innovative solution to empower individuals and professionals to harness the potential of AI, making knowledge and content creation more accessible than ever.”

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Miro Acquires Freehand App From Invision

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Adding Freehand teams and technology positions Miro to deliver deeper support and value for teams driving innovation at scale

Miro®, the visual workspace for innovation, announced the acquisition of the visual collaboration platform, Freehand, from Invision. The deal includes the technology and brand assets, customer relationships and talent associated with Freehand.

As part of the acquisition, Jeff Chow, former Freehand Chief Product Officer and recently promoted InVision CEO, joins Miro as the company’s new Chief Product & Technology Officer (CPTO), along with the core team supporting Freehand, bringing together top talent in the visual collaboration space to build stronger products and drive better outcomes for customers.

“Over the years, we’ve made significant investments in the Miro platform – like robust agile workflows support, diagramming, deep integrations across collaboration and product development stacks, extensible platform, and deep enterprise capabilities  – all designed to help teams drive innovation at scale.Today’s announcement represents another exciting opportunity to advance our capabilities by leveraging some of the developments from the Freehand team” said Andrey Khusid, founder and CEO, Miro. “The Freehand team shares our passion for solving the hardest problems in collaboration to help customers do more, faster. We’re excited to bring these two teams and technology together, and for Jeff’s leadership, as we deliver the future of collaboration technology.”

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Jeff Chow brings 25 years of experience in designing and building organizations focused on delivering customer-centric products designed to solve critical business problems, particularly those around team communication and collaborative problem solving. Prior to his leadership roles at Invision, Chow held product and engineering leadership roles at Google and TripAdvisor as well as co-founding Springpad, a personal assistant mobile app, which was acquired by Google. Chow will now serve as Miro’s CPTO, where he will be responsible for the continued evolution of Miro’s innovation workspace.

“We share Miro’s vision for the future of visual and intelligent collaboration technologies, and the transformative impact the combination of these two teams and technology platforms will have on Freehand and Miro customers moving forward,” said Jeff Chow, CPTO, Miro.

Miro’s mission is to empower teams to create the next BIG thing. The company has supported the innovation journey for its more than 200,000 customer organizations since pioneering the visual collaboration space in 2011. Today, 7 out of the 10 most innovative companies[1] use Miro to increase the speed and impact of innovation within their organizations.

Miro has become the standard for collaborative innovation by delivering an enterprise-grade platform with core capabilities purpose-built for teams that bring new products and services to market every day. It starts with six bundles of capabilities built for all stages of the innovation journey – all in one tool. These include:

  • Product Development Workflows
  • Diagramming & Process Mapping
  • Workshops & Asynchronous Collaboration
  • Miro AI
  • Content & Data Visualization
  • Visual Project Management

The six bundles are combined with an open and flexible platform designed to enable enterprises to adapt Miro to their specific needs through integrations, applications, templates, etc., and it’s all supported by a secure and compliant enterprise foundation designed to help keep data protected and enable Miro to be easily managed across the organization.

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McAfee’s 2023 Scam Study Results: Scam Texts More Painful Than Getting a Root Canal

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Most Americans would opt for a one-time root canal rather than face a year of scam messages

  • Global study reveals consumer overwhelm, caused by the onslaught of increasingly believable text, email, and social media scams amid a rising AI-powered scam surge

  • People receive an average of nearly 12 fake messages or scams daily, via email, text, or social media

  • The average American spends 94 minutes each week reviewing, verifying, or deciding whether a message sent through text, email, or social media is real or fake, equating to more than two standard work weeks per year

McAfee Corp, a global leader in online protection, today released its first-ever Global Scam Message Study. The study surveyed more than 7,000 adults in seven countries to understand how scam messages, and the increased scam sophistication brought about by artificial intelligence (AI), have impacted the lives of consumers worldwide.

“It’s truly a sign of the times that most Americans would rather subject themselves to the pain and distress of a root canal than be subjected to scam texts and messages throughout the year”

This study reveals that Americans receive an average of 11.6 fake messages or scams each day. Additionally, two-thirds (65%) of Americans have clicked or fallen for a scam, 45% of those people have lost money as a result, and 15% have lost more than $1,000.

AI is a scammer’s favorite tool, helping cybercriminals increase the scale, sophistication and speed of phishing and text message scams. These fake emails, text messages and phishing sites are more believable than ever thanks to the advancements in artificial intelligence. In fact, a new phishing site is created every 11 seconds and McAfee detects and protects against more than a million phishing attempts every single day, illustrating the deluge of scam messages consumers are faced with.

“It’s truly a sign of the times that most Americans would rather subject themselves to the pain and distress of a root canal than be subjected to scam texts and messages throughout the year,” said Roma Majumder, SVP of Product at McAfee. “And it’s not just the speed and volume, but the sophistication. Thanks to AI it can be incredibly difficult to know if that delivery text message or bank alert notification is real or not. So much so that 55% of Americans believe they have a better shot at solving the Rubik’s cube than identifying a scam message.”

“This onslaught of scam messages is a drain on people’s time, energy, and finances. And it’s why we all need AI to beat AI. Unfortunately, seeing is no longer believing and we need to be equipped with advanced AI technology that can stop and block scam messages in real time. I’m proud that McAfee offers solutions to protect people’s privacy, identity and personal information and helps make the online world more enjoyable for everyone,” said Majumder.

The 2023 McAfee Scam Message Study

McAfee’s research revealed four key insights about online scams and spotlights the level of stress people face as AI drives an increase in the number and sophistication of scam messages, along with the need for an AI-driven solution to the problem. The survey results are detailed below.

Today’s scam messages are cleverly camouflaged

84% of Americans surveyed feel that it’s harder than ever to spot when a text, email, or social media message is a scam, and 52% believe hackers are using artificial intelligence to be more accurate and believable with their scams. Further, 39% of people said they noticed that scam messages no longer have typos or errors, and are very believable as a result, and that scam messages are harder to identify because they are often very personal.

This sophisticated trickery takes five common forms. The below numbers indicate the percentage of U.S. survey respondents who’ve received each type of message in the past year:

  • You’ve won a prize!” – 62%
  • Information about a purchase the recipient didn’t make – 57%
  • Fake missed delivery, or delivery problem, notification – 56%
  • Amazon security alert, or notification messages regarding account updates – 43%
  • Netflix (or a similar streaming service) subscription updates – 42%

People are drowning in a scam message sea

In a time when one-third of U.S. adults report not getting enough daily rest or sleep, an increasing amount of their valuable time is being used to filter through an overwhelming number of scam messages. The average American spends 94 minutes each week reviewing, verifying, or deciding whether a message sent through text, email, social media is real or fake. This amounts to more than two full work weeks each year, spent on scam-spotting. More specifically:

  • Email: 95% of Americans surveyed indicate that they receive fake messages or scams via email on a daily basis. 40% receive 5 or more fake email messages each day.
  • Text: 87% of U.S. survey respondents indicate that they receive fake messages or scams via text each day. 30% receive 5 or more fake text messages each day.
  • Social Media: 75% of the people surveyed indicate that they receive fake messages or scams via social media every day. 30% receive 5 or more of these social media scams daily.

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To click, or not to click, is a potentially complicated question

With the increased volume, and more advanced appearance of scam messages, just 35% of Americans have avoided clicking on or falling for fake messages in the last 12 months. In line with this finding, 65% of survey respondents have believed the content of one or more scam messages was real, with the most believed messages being:

  • “You’ve won a prize!” – 25%
  • Fake missed delivery, or delivery problem, notification – 20%
  • Information about a purchase the recipient didn’t make – 22%
  • Sign in and location verification messages – 20%

Engaging with scam messages can be costly and stressful.

Nearly half (45%) of Americans who clicked on a scam message lost money as a result. The people surveyed indicated they would prefer the following painful or scary experiences over dealing with online scam texts and messages throughout the year:

  • A one-time root canal – 54%
  • 24-hour food poisoning – 40%
  • Doing taxes every month – 57%
  • Sleep in a haunted house for one night – 55%

An AI ally is needed as scam stakes rise and online trust sinks

As the number of AI-powered scams continues to rise, 40% of U.S. survey respondents say their trust in digital communications has decreased. This trend is largely due to a lack of depth in digital defense knowledge: 37% of people say they don’t know if they are doing the right things to protect themselves. People manage this knowledge gap in different ways:

  • 33% of people ignore an email, when they receive an email or text that they think might be a scam
  • 31% block the sender when they receive this type of message
  • 26% report suspected scam messages

How to Protect Yourself from Scam Messages

  • Think before you click. Cybercriminals use phishing emails or fake sites to lure people into clicking links that could lead to malware. If you receive an email or text message asking you to click on a link, even if it’s a great-sounding deal or indicates it’ll provide useful information, it’s best to avoid interacting with the message altogether. Always go direct to the source and interact with reputable companies.
  • Remember that if it seems too good to be true, it probably is. Many scams are effective because the scammer creates a false sense of urgency or preys on a heightened emotional state. Pause before you rush to interact with any message that is threatening or urgent, especially if it is from an unknown or unlikely sender.
  • Use AI to beat AI. From blocking dangerous links that appear on text messages, social media, or web browsers, customers across all platforms can take advantage of the AI-driven technology behind McAfee Scam Protection to engage with text messages, read emails, and browse the web peacefully and securely.

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Rhetorik Launches LeadNeuron beta – Innovative, AI-driven skills-based B2B lead targeting tool

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Rhetorik Launches LeadNeuron™ beta – Innovative, AI-driven skills-based B2B lead targeting tool

Global B2B data excellence company unveils unique tool that identifies hard to find enterprise tech buyers scored on signals derived from their skills profile

Rhetorik Ltd., a leading global B2B data excellence services company, has unveiled LeadNeuron, its’ unique skills-based targeting solution that identifies hard to find enterprise technology buying individuals and groups scored on their likelihood to engage and propensity to buy.

Powered by global B2B data covering more than 800 million standardized professional people profiles, over 30,000 normalized skills and 200 million normalized job titles, this AI-driven solution surfaces hard to find leads by mining, scoring and interpreting professional experiences and skill profiles.

The proprietary LeadNeuron model quantifies and automates persona building by profiling the skills, experiences and job roles of hundreds of millions of professionals to match specific products to highly targeted, relevant buyers.

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SKILLS-BASED TARGETING – A PARADIGM SHIFT TO PEOPLE-BASED MARKETING.
Rhetorik CEO, Meredith Amdur commented that “generalized IT decision-maker titles and account-level intent signals may identify interesting accounts, but that is not enough because they don’t tell you anything specific about who to contact there. LeadNeuron finds more leads AND more relevant leads based on signals derived from the skills and experiences of millions of individual professionals.”“Skills-based targeting heralds a paradigm shift in thinking for B2B marketers seeking audience-intent signals”, added Amdur. “The LeadNeuron model identifies specific people – entirely new leads who are relevant to your offer and receptive to your message – uncovering individuals, prospects that other solutions can’t find, who lead you to entirely new accounts open to your product. We call this People-Based Marketing.”

Leveraging the powerful data available on the Neuron360 platform, LeadNeuron helps marketers locate the right individuals at the right companies to target with a technology product or service.

Denis Poulin, Rhetorik Chief Data Scientist, notes that “a client looking to market to network cloud security architects can now find 10x the number of high-propensity leads based on signals derived from their skills and experience profile. This compares with just the few thousand they typically would find using job title alone. Those prospects were also 50% more likely to respond to their marketing and sales outreach.” Poulin is clear that “the shift from an account-based to a people-based approach significantly improves both the efficiency and impact of outbound marketing.”

HOW WE DO IT.
The model is based on the Rhetorik Skill Stack, an analysis of the combined skills and experiences of the individuals at millions of companies. The model computes the relevancy and intensity of 30,000+ hard and soft skill signals (job functions, technical skills, seniority, budget responsibility) and scores these signals across millions of live professional profiles to surface contacts with a high propensity to buy.

LeadNeuron also leverages Rhetorik’s extensive global database of 250m company profiles to better define accounts that match the Ideal Customer Profile (ICP) by industry, location, size and installed technologies.

LeadNeuron campaigns come with a subscription to Rhetorik’s global B2B lead database. The LeadNeuron model is available now for beta users and will be in general release from January 2024.

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Bootstrap startup, Hyperscale launches a groundbreaking Facebook ad performance tool to stop businesses from wasting millions of dollars on unprofitable ads

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Innovative platform to disrupt the $65B digital ad industry by taking the guesswork out of fixing ads

Facebook generates billions in ad revenue a year, yet businesses lose millions due to low ad performance. To put an end to losses, bootstrap startup Hyperscale launches as the first ad tool of its kind that tells companies exactly how to fix Facebook ads fast to supercharge growth.

Hyperscale was founded by two established experts in growth and data from Canada’s thriving tech startup scene in Toronto. The result is a powerful performance dashboard for all Facebook ads. In one platform, growth marketers don’t just see performance, they immediately get actionable insights to improve outcomes.

“Quickly distinguishing profitable ads from low-performing ads is the difference between making or wasting millions,” said Sean Hurley, Hyperscale co-founder and growth leader. “Hyperscale takes all the guesswork out of it, allowing companies spending over $50k a month to drive down CAC by 30% or even 40% within 30 days.”

The digital marketing software market is worth $65B. However, most digital ad tools provide data but not insights, leaving performance marketers to try to make sense of it all. Hyperscale offers a lens on the data so marketers know which ads to kill, double down on, and try next.

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For the three million businesses that use Facebook ads to drive sales, unprofitable ads don’t just drive up customer acquisition costs (CAC), and drag down return on ad spend (ROAS), they can mean the difference between failing and surviving. For a startup, Series A or Series B company, they accelerate burn and shorten runway.

“As a cashback fundraising app that helps teams raise money for their cause, Facebook ads are a key part of our customer acquisition strategy. Hyperscale gives us the insight to root out the ads dragging down our ROAS and shift that spend to higher performing, higher potential ads,” said Amy Halpenny, CEO of FlipGive.

How Hyperscale works

Aside from losing money, growth marketers spend countless unprofitable and annoying hours trying to track down and correct Facebook ad problems. It can take months, or years to reach positive ROAS on Facebook ads where every dollar out can be directly attributed to a dollar in.

Hyperscale eliminates the pain with daily reports that highlight the most critical actions a growth marketer needs to take; halting low-performing ads, adjusting budget and distribution, replacing creative as it ages out, iterating on high-performing ads, and a dozen more actionable insights that help with everything from creative briefing and ideation to audience mapping.

Why Facebook ads?

With 2.9B monthly active users and an average conversion rate of 9.21%, Facebook is the lynchpin to most businesses’ online ad strategy. The average mid-sized company spends $50,000 to $150,000+ on Facebook ads each month. Therefore, Facebook ads represent the most immediate opportunity for improvement.

Hyperscale’s actionable insights will be applied to other key growth marketing ad platforms in the future but the company is laser-focused on Facebook ads for the foreseeable future.

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Evergent Announces Partnership with Axinom to Deliver Enhanced Video Streaming Backend and Monetization Solution

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Evergent Announces Partnership with Axinom to Deliver Enhanced Video Streaming Backend and Monetization Solution

New Technology Integration for OTT Video Companies Supports Complex Use Cases and Geographic Expansion

Evergent, a customer management and monetization leader for streaming and digital subscription businesses, announces a new partnership with Axinom, an expert in video streaming backends. The two companies will collaborate to provide the industry with a reliable and flexible backend and agile monetization tools. The partnership addresses growing customer requirements for modular and open solutions while allowing total control over the development and growth of the backend.

Axinom’s Mosaic platform stands out with its hybrid build-and-buy approach, combining managed and open-source services. The modular, API-driven architecture of Axinom Mosaic is underpinned by a developer focus with a cutting-edge technology stack and extensive documentation. Customers of this highly complementary partnership will benefit from a customizable backend platform while also exploring the immense capabilities of Evergent’s flexible monetization.

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“In the competitive OTT video landscape, media and entertainment companies can’t afford to take risks with their technology delivery or their monetization strategies,” said Vijay Sajja, founder and CEO of Evergent. “Our new partnership with Axinom makes it significantly easier for OTT companies to find the right solution for their technology backend and monetization management needs. This partnership lowers the entry barriers for companies to build or modernize their OTT services while scaling their operations to new geographies and monetization models.”

Combining Evergent’s agile monetization tools with Axinom Mosaic will allow customers to test and enable new business models while reducing time to market and total costs. Both new and existing OTT platforms can seamlessly adopt and easily integrate components and services.

“This partnership showcases what can happen when two top players in the industry come together to combine expertise and enable the industry with highly compatible and outstanding technologies,” said Ralph Wagner, CEO of Axinom. “Axinom and Evergent cooperation will enable our customers to explore the novel monetization use cases. The flexibility of Axinom Mosaic will also allow companies to modernize and scale their business while achieving a global footprint.”

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Beachfront Introduces Self-Serve Select Platform to Bring Connected TV (CTV) Private Marketplace (PMP) Curation to the Supply-Side

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An Extension Of Beachfront’s Premium CTV and Video Marketplace, Select Platform Launches with A Number of Clients, including Strategus, Audigent, and IRIS.TV

Beachfront, the sell-side ad platform built for convergent TV and streaming, today announced the launch of Beachfront Select, a fully self-service deal ID curation platform for connected TV (CTV) and video advertising. An extension of Beachfront’s Marketplace (SSP), Select enables media buyers and proprietary data owners to more easily plan, curate, and activate data-enabled private marketplaces (PMPs) across premium TV, connected TV (CTV), and online video inventory.

In recent years, CTV and digital video advertising have experienced tremendous growth. According to eMarketer, CTV ad spend in the U.S. is expected to increase by 21.2% to $25.1 billion this year. Amid this growth, programmatic media buyers are navigating a historically-opaque supply chain and a number of disruptive industry dynamics, including changes to long-standing ad targeting practices and intensifying bidstream signal loss.

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As a fully self-service platform, Beachfront Select is built to solve these considerations for media buyers and proprietary data owners. Select provides direct access to a scaled CTV and video inventory footprint with intuitive audience management and matching capabilities that bring data-driven ad targeting to the supply-side. Additionally, Select provides unrivaled transparency into programmatic ad delivery, including through rich log-level data, comprehensive content-level reporting, and detailed information on fees.

“With the proliferation of CTV consumption in recent years and the changes unfolding across the programmatic landscape, media buyers and data owners are increasingly seeking more control over their advertising supply chain,” said Chris Maccaro, CEO at Beachfront. “Today, we are thrilled to formally launch the Beachfront Select platform. Already, Select is providing our partners with the tools they need to streamline and enhance execution of data-driven CTV advertising strategies within a more transparent and controllable environment.”

At launch, Beachfront Select has rapidly gained traction amongst media buyers and proprietary data owners, who are using the platform’s self-service features and audience matching technology to unlock greater workflow efficiencies, fee transparency, and scale in their CTV and video advertising campaigns.

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CKEditor, a Tiugo Technologies Brand, Introduces Innovative AI Assistant for Enhanced Collaboration Productivity

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The new feature is set to revolutionize the way users collaborate, edit and create content, further cementing CKEditor’s reputation as a pioneer in the rich text editing industry

CKEditor, a leading provider of collaborative rich text editing solutions, announced the launch of its groundbreaking AI Assistant, making it Tiugo Technologies’ latest brand to integrate cutting-edge, artificial intelligence technology. The CKEditor AI Assistant is designed to streamline content creation, editing and collaboration processes.

“Bringing the CKEditor AI Assistant to life is a testament to our unwavering commitment to empowering users with cutting-edge technology that has an outstanding user experience” said Wiktor Walc, chief technology officer of Tiugo Technologies. “With this new feature, we’re not just enhancing their rich text editing capabilities with AI; we’re revolutionizing the way people communicate, collaborate and create content. It’s an exciting step forward in our journey to make content creation easier and further enhances team productivity.”

AI Assistant key features include:

  • Simultaneous collaboration: Its most revolutionary aspect is its ability to enable real-time, simultaneous collaboration on content. Teams can write, rephrase, translate and summarize content all within the editor, without the need to switch between multiple tools or platforms.
  • Seamless integration of AI: The AI Assistant seamlessly integrates AI directly into the text editor, empowering developers to harness AI capabilities without the need for complex, separate implementations.
  • Customizable behavior and interface: Developers can tailor the AI’s behavior to fit the unique needs of their applications, allowing for a wide range of features from basic grammar and spell checks to advanced natural language processing and content generation.

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“CKEditor’s AI Assistant further cements Tiugo Technologies’ dedication to pushing the boundary of what is possible in the realm of rich text editing technology,” said Scott Heimes, chief revenue officer of Tiugo Technologies. “As we continue to evolve, our mission remains clear: to provide users with tools that empower their creativity, collaboration and productivity.”

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