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Floyi Publishes Three-Pillar Topical Authority Audit for SEO and AI Search Teams

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Floyi Publishes Three-Pillar Topical Authority Audit for SEO and AI Search Teams

Floyi

A 15-minute, 21-question diagnostic scores Content Authority, Market Authority and AI Authority to pinpoint where content strategies break and stall.

Floyi today released the Three-Pillar Topical Authority Audit, a free diagnostic framework that helps SEO teams, agencies and content strategists identify why their organic authority is not compounding in search and AI answer engines. The framework is available on the Floyi website alongside a downloadable scorecard.

Topical authority isn’t a single metric. It’s three: Content, Market and AI.”

— Yoyao Hsueh

Most SEO audits rely on lagging indicators such as rankings, backlinks and technical crawl errors. These metrics explain what already happened but do not answer whether a site is building real authority in its topic space. Teams can spend full quarters optimizing the wrong areas because the audit model itself never looked at authority structure.

The Three-Pillar Topical Authority Audit replaces rankings-only diagnostics with a structured assessment across three defined pillars:

– Content Authority: the strength of a site’s topical foundation, including coverage depth, subtopic structure and internal linking against a defined topical map.
– Market Authority: a site’s share of visibility and content quality relative to direct competitors across the same topic space.
– AI Authority: a site’s ability to be retrieved, parsed, mentioned, and cited by AI search systems, including AI Overviews, AI Mode, ChatGPT, Gemini, and Perplexity.

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The audit takes approximately 15 minutes to complete and does not require SEO tools or external data. A companion scorecard contains 21 questions in total, with 7 questions per pillar, each scored 0, 1 or 2 against defined criteria. Each pillar produces a score from 0 to 14, and the combined audit produces a score from 0 to 42. The lowest-scoring pillar identifies the weakest link in a site’s authority system, which is usually the actual bottleneck blocking organic growth.

Most SEO strategies break because two pillars are strong and one is quietly failing. Sites are rarely weak across all three. Teams keep reinforcing what already works while the weak pillar remains unaddressed. The Three-Pillar Topical Authority Audit is designed to make that uneven pattern visible by naming each pillar and scoring them on the same scale. The framework addresses both traditional SEO visibility and Generative Engine Optimization (GEO), the emerging practice of optimizing content for AI answer engines.

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“Topical authority isn’t a single metric. It’s three: Content, Market and AI. When all three are scored on the same scale, the real bottleneck becomes obvious,” said Yoyao Hsueh, founder and CEO of Floyi.

Floyi implements the Three-Pillar Topical Authority Audit inside its platform through three connected tools. The Authority Planner supports Content Authority diagnostics by mapping topical structure and topic importance against published coverage. The Competitor Matrix supports Market Authority diagnostics by comparing coverage, rankings and AI citations against named competitors. The AIRS Analyzer supports AI Authority diagnostics by measuring brand presence across 9 AI search engines and 2 classic search engines in a single query.

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Dubai-Based Lumitech Named Among Top Generative AI Development Companies in 2026 by Techreviewer.co

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Dubai-Based Lumitech Named Among Top Generative AI Development Companies in 2026 by Techreviewer.co

Lumitech - Cutting-Edge Software Solutions

Today, Lumitech, a Dubai-based custom software and AI product development company, announced that it has been recognized by Techreviewer.co among the Top Generative AI Development Companies in 2026. This listing ranks AI service providers based on their offerings of generative AI products and services, including verified company information, transparent company profiles, and actual client reviews and testimonials, all regularly updated in the TechReviewer directory.

This achievement recognizes Lumitech’s work in practical, enterprise-focused generative AI systems and reflects an increased industry demand for companies that have the ability to progress from the experimental phase to production-ready delivery. This milestone also reinforces the company’s increasing influence among artificial intelligence companies in the UAE, where demand for localized and secure AI implementation continues to grow.

According to Techreviewer, the annual ranking is intended to help businesses evaluate technology partners in the rapidly growing market. On its pages dedicated to the generative AI ranking, the platform emphasizes human verification of company profiles, review of legal and portfolio details, and performance-based inclusion criteria designed to help buyers compare providers more reliably.

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“We are honored to be recognized among the companies helping shape the future of enterprise automation through generative technology,” said Denis Salatin, CEO & Founder at Lumitech. “Businesses increasingly seek secure and explainable solutions consistent with actual operational environments. That is especially true in regulated and high-trust sectors. Dubai continues to be an important market for technology growth, and we are proud to contribute to the region’s digital transformation goals.”

The announcement arrives as organizations across the Middle East continue to invest heavily in next-generation business technologies. Given the increasing demand for AI companies in Dubai, businesses are increasingly seeking experienced partners that can address the complexities of data privacy, model fine-tuning, and seamless system integration.

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As a provider of software development in Dubai, Lumitech has expanded its service range to respond to these specific market needs. The company’s key areas of expertise include:

Custom Generative AI Solutions: Designing and deploying proprietary models designed for specific business logic and industry regulations.

Enterprise LLM Integration: Safely connecting existing corporate data silos with advanced AI architectures to optimize decision-making.

Advanced Data Engineering: Building the solid infrastructure required to power high-performance AI applications.

Lumitech serves a diverse range of clients across the Middle East and globally, including organizations in industries such as finance, healthcare, and logistics. Such projects as a secure AI knowledge assistant for financial services illustrate the company’s ongoing commitment to building trusted AI systems for regulated environments. The company’s delivery model is based on transparent communication and reliable execution, ensuring that AI initiatives transition from the proof-of-concept phase to full production.

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GeeLark Launches Android 16 Cloud Phones for Scalable Social Media Operations

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GeeLark Launches Android 16 Cloud Phones for Scalable Social Media Operations

GeeLark

GeeLark, a provider of cloud-based mobile environments for social media and e-commerce teams, today announced the launch of Android 16 cloud phones, bringing the latest mobile OS into a scalable, cloud-native infrastructure.

The update is designed to help teams improve compatibility with rapidly evolving mobile platforms while managing multiple accounts more efficiently.

Supporting a Shift Toward Mobile-First Operations

As social media platforms continue prioritizing mobile-native behavior, many teams still rely on desktop tools or outdated emulation environments to manage accounts at scale. This gap can lead to operational inefficiencies and compatibility challenges.

By introducing Android 16 into, GeeLark enables users to operate within environments that more closely reflect real mobile devices—aligning workflows with how modern platforms are designed and updated.

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Key Capabilities

GeeLark’s Android 16 cloud phones are supported by a set of integrated automation and control tools:

  • Android 16 Cloud Environments
    Provide improved compatibility with the latest updates across platforms such as TikTok, Instagram, and WhatsApp.
  • RPA Automation
    Streamlines repetitive workflows, including content publishing and routine engagement actions, within native Android environments.
  • Synchronizer
    Enables users to manage and control multiple cloud phones simultaneously from a single interface.
  • API Integration
    Allows enterprises to build customized workflows by integrating cloud-phone automation into internal systems.

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From Fragmented Tools to Unified Execution

GeeLark’s platform is designed to consolidate previously fragmented workflows—ranging from account management to content distribution—into a single environment.

In addition to automation capabilities, GeeLark supports content workflows through integrated AI tools, enabling teams to move from asset creation to execution without switching platforms.

Enabling Scalable and Consistent Operations

By combining up-to-date mobile environments with automation tools, GeeLark aims to reduce operational complexity for teams managing multiple accounts across regions and platforms.

The company positions its Android 16 cloud phones as part of a broader effort to provide infrastructure that supports scalable, consistent, and mobile-aligned operations.

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BNO Strengthens Leadership Team for Next Phase of Growth and Innovation

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BNO Strengthens Leadership Team for Next Phase of Growth and Innovation

bno_family_cities-states_rgb_centered-vert.jpg

Rachelle Powell Named President as Agency Builds on Strong Brand Foundation and Advances AI-Driven Solutions

Baldwin & Obenauf, Inc. (BNO), a full-service creative and brand experience agency, today announced an evolution of its leadership team. With a combined 75 years of leadership at the agency, the newly elevated executive team expands its capabilities as strategic marketing partners and positions BNO for continued growth and innovation.

Rachelle Powell has been named President, assuming responsibility for leading the agency’s strategic direction, client partnerships, and ongoing advancement of its capabilities. Trista Walker, CCXP, will depart BNO to pursue new opportunities following a period of growth and transformation under her leadership.

A seasoned veteran with 20 years of experience at BNO in various leadership roles, Powell has played a central role in shaping the agency’s client experience and delivering work for leading brands including Johnson & Johnson, Verizon, and Bristol Myers Squibb. Known for her collaborative leadership and deep client partnerships, she has helped guide the agency through a period of expansion and innovation alongside Walker.

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“BNO has always been grounded in a clear mission—to help the world’s most important brands succeed—and that continues to guide everything we do,” said Powell. “I’ve had the privilege of working closely with Trista over many years, alongside our leadership team, to help shape the agency’s evolution, and I’m proud of the foundation we’ve built together. As we look ahead, our focus is on continuing to deliver for our clients in meaningful ways—bringing together creativity, strategy, and emerging capabilities, including AI-driven solutions, to help them stay ahead of what’s next in an increasingly complex and fast-moving landscape.”

As part of this leadership change, BNO has also expanded its executive team. Ryan Obenauf has been named Executive Vice President, Human Resources & Finance; Abey Abraham has been named Executive Vice President, Operations; and George Jackus has been named Executive Vice President, Creative. Together, this leadership team reflects a deep bench of experience and a shared commitment to delivering exceptional client work and meaningful business impact.

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In recent years, BNO has introduced new offerings such as the ACXelerate™ design thinking process and Alpha Signal, a proprietary tool designed to help brands strengthen their presence and performance in an increasingly AI-driven landscape. These innovations, developed under Walker’s leadership and advanced by the broader team, reflect the agency’s continued investment in evolving how it serves clients.

“On behalf of the Board and the entire BNO team, we thank Trista for her leadership and many contributions,” said Joanne Obenauf, Founder and Chair of the Board. “She has helped guide BNO through significant growth and we are grateful for the impact she has made on the agency and its people.”

Walker added, “Leading BNO has been a tremendous honor. I’m proud of what we’ve accomplished together and confident in the leadership team and the agency’s future.”

BNO remains focused on helping the world’s most important brands succeed by delivering creative, strategic, and experience-driven solutions—particularly for organizations navigating complex, highly regulated environments such as healthcare, including pharma and rare diseases, as well as financial services, telecommunications, and technology.

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Channel Factory Expands Global Leadership Team as Demand for Contextual Advertising Accelerates

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Channel Factory Expands Global Leadership Team as Demand for Contextual Advertising Accelerates

Channel Factory | IAB Ireland

Three strategic appointments, including a new Global CHRO and CFO, fuel Channel Factory’s expansion as the global standard for performance and suitability across walled gardens

Channel Factory, the global contextual advertising company powering performance across walled gardens, announced three significant appointments to its C-Suite: Colleen Liguori joins as Global Chief Human Resources Officer (CHRO), Woo Kim joins as Global Chief Financial Officer (CFO), while current CFO, Eren Pamir will transition to Chief Business Officer (CBO).

These appointments reinforce Channel Factory’s commitment to building the operational and people infrastructure behind its next phase of global growth.

Colleen Liguori, Global Chief Human Resources Officer (CHRO)

Colleen’s expertise in organizational design, leadership development, and global workforce strategy will be critical in driving Channel Factory’s continued growth. For more than 20 years, she has partnered closely with executive teams and Boards to build scalable organizations, lead transformation, and drive impactful people strategies. Following successful stints with an extensive international footprint spanning North America, EMEA, LATAM, MENA, APAC, and Japan, Colleen’s leadership will have a significant impact on how Channel Factory continues to evolve. Colleen will report to Channel Factory’s CEO, Tony Chen.

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“At any company, growth is powered by people, and I’m excited to build on Channel Factory’s culture, combining performance and purpose,” said Liguori. “On a global scale, we’re focused on creating an environment where talent thrives, leadership is developed with intention, and our teams are empowered to drive meaningful impact for our clients and communities. By investing in our people, we strengthen our ability to deliver innovation and long-term business success.”

Woo KimGlobal Chief Financial Officer (CFO)

Reporting to Channel Factory CEO, Tony Chen, Woo Kim joins Channel Factory as Global Chief Financial Officer (CFO), bringing decades of financial leadership forged entirely within the technology and digital media industries. Most recently, Woo served as CFO across several high-growth companies, including Nativo, Swift Media Entertainment, and Kikin, where he built a track record of scaling financial operations at the speed of innovation. Woo’s investment banking roots and operator experience bring a proven ability to build the financial and operational infrastructure that will accelerate Channel Factory’s global expansion.

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“Channel Factory has earned a leadership position in one of the most dynamic spaces in media, and the opportunity ahead is substantial,” said Kim. “My focus as CFO will be to build the financial and operational foundation that turns that potential into performance, scaling efficiently while delivering real value for our clients and partners.”

Eren Pamir, Global Chief Business Officer (CBO)

Eren Pamir transitions from Chief Financial Officer to Chief Business Officer, moving into an expanded commercial mandate that reflects his deep institutional knowledge and strategic impact at Channel Factory. Reporting to Global President Kevin Gentzel, Eren will focus on strengthening client partnerships, business development, sales and revenue operations, and business intelligence and M&A, ensuring Channel Factory’s long-term investment strategy and operational growth remain on track.

“Stepping into my new role, I’m focused on accelerating our go-to-market approach, strengthening our partnerships, and ensuring we continue to deliver solutions that drive both superior campaign performance and brand reputation,” Pamir says. “This is about unlocking sustainable growth for our clients and for Channel Factory.”

“Colleen and Woo are incredible additions to our Channel Factory family, and welcoming Eren into his new role is a significant moment for us as we continue to grow and support our customers,” said Tony Chen, CEO at Channel Factory. “Each of these professionals with their own expertise will help us to continue delivering excellent media efficiency for our clients, create new innovations, and further transform the media landscape.”

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New TransUnion Digital Business Profile Gives Small Businesses a Simple, Cost-Effective Way to Connect with Customers

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New TransUnion Digital Business Profile Gives Small Businesses a Simple, Cost-Effective Way to Connect with Customers

Business

Solution empowers small business owners to maintain a consistent, accurate presence as AI reshapes digital search results

With Small Business Month approaching in May, TransUnion (NYSE: TRU) announced the launch of Digital Business Profile, an affordable, easy-to-use solution designed to help small businesses ensure their information is represented accurately across the digital search ecosystem. Accurate business information directly influences customer behavior: Google research found that customers are 70% more likely to visit and 50% more likely to consider purchasing from businesses with a complete Business Profile on Google.

Digital Business Profile allows small business owners to manage essential details, including business name and location, contact information, hours of operation, accepted payment methods and service areas, through a single TransUnion portal. Updates are automatically distributed across more than 80 directories, maps, apps and social platforms, helping businesses present a consistent and reliable presence wherever consumers search.

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Maintaining accurate online information has historically required business owners to manually update individual platforms, which can be a time-consuming and often unrealistic task. As generative AI increasingly shapes how consumers discover and evaluate businesses, that challenge has only intensified. Today’s AI-powered search summaries pull information from across the web, making consistency more critical than ever.

“Until recently, business owners could focus on just a few dominant platforms, but AI has fundamentally changed the search experience,” said James Garvert, Senior Vice President of Communications Solutions at TransUnion. “AI search results aggregate information from many sources, so even a single outdated listing can affect what consumers see.”

Inconsistent or inaccurate business information can confuse customers and lead to poor experiences. Digital Business Profile addresses this challenge by giving small business owners a centralized way to maintain a complete and up-to-date profile, including categories, languages spoken, storefront images, and links to social media accounts.

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Built on the same foundation as TransUnion’s award-winning Trusted Call Solutions, Digital Business Profile leverages a broad distribution network and long-standing integrations with leading search directories, maps, and social platforms. TransUnion has spent more than two decades helping large, multinational companies manage their digital presence and optimize for search, achieving the scale needed to now offer this capability at a price point accessible to businesses of any size.

An annual Digital Business Profile subscription includes:

  • Comprehensive distribution across maps and GPS services
  • Profile optimization
  • Continuous monitoring and updates
  • Visibility into how consumers discover and engage with a business
  • Clear distribution status reporting
  • Access to help desk support

“Small business owners work extraordinarily hard to run their day-to-day operations. It’s unrealistic to expect them to also update company information across 80 or more search platforms, yet accuracy is essential,” said Garvert. “Digital Business Profile saves time, strengthens customer connections and helps protect a business’s reputation.”

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Pixazo API Now Supports Seedance 2.0 & GPT Image 2 — Bringing Next-Generation AI Video and Image Creation to Developers

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Pixazo API Now Supports Seedance 2.0 & GPT Image 2 — Bringing Next-Generation AI Video and Image Creation to Developers

About Pixazo | AI Tools and APIs for Image, Video & Audio Generation

Pixazo adds industry-leading AI models to its API catalogue — Seedance 2.0 for professional AI video generation & GPT Image 2 for context-aware image creation.

Pixazo, the AI design platform, today announced the availability of two new flagship models through Pixazo API: Seedance 2.0 API by ByteDance (via BytePlus) and GPT Image 2 API by OpenAI. These additions significantly expand what developers can build on the Pixazo platform — from cinematic AI-generated video with multi-modal inputs, to strikingly accurate image generation driven by GPT’s deep language understanding.

Adding Seedance 2.0 & GPT Image 2 to Pixazo’s API catalogue is a significant step forward. We’re giving developers access to the very best the industry has to offer — under one roof.”

— Abhinav Girdhar, Founder & CEO Appy Pie

Both models are available immediately through Pixazo API, accessible under a single API key with unified authentication, consistent request/response schemas, and transparent per-operation pricing. No separate provider accounts or integrations are required.

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Seedance 2.0: Professional AI Video at Every Speed

Seedance 2.0 is ByteDance’s most advanced AI video generation model, now available via Pixazo’s API. Developed by BytePlus (ByteDance’s enterprise AI division), Seedance 2.0 delivers production-grade video generation with support for text-to-video, reference-based generation (image, video, and audio inputs), and video editing — all through clean API calls.

The model is offered in two speed tiers through Pixazo: Seedance 2.0 for full-quality output and Seedance 2.0 Fast for rapid iteration and previewing, making it suitable for both final production workflows and high-volume content pipelines.

Seedance 2.0 Capabilities via Pixazo API

Seedance 2.0 supports text-to-video generation, producing high-fidelity video clips from descriptive text prompts — ideal for creating branded content, social media reels, explainer videos, and product showcases without any footage. For reference-based workflows, the model accepts a combination of reference image, reference video, and reference audio inputs simultaneously, enabling precise control over visual style, motion, and audio-visual synchronisation. Existing footage can also be edited and transformed using text instructions or reference inputs, allowing teams to restyle scenes, modify motion, adjust visual tone, or repurpose existing clips at scale.

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Seedance 2.0 also includes ByteDance’s OmniHuman module, purpose-built for generating realistic human animation from reference inputs — delivering natural movement, accurate lip sync, and lifelike expressions for social content and marketing videos. The model is available in two speed tiers: Seedance 2.0 Fast delivers rapid results for previewing and iteration, while Seedance 2.0 Standard ensures the highest quality for final production output.

Seedance 2.0 is ideal for marketers, social media teams, video production agencies, e-learning platforms, and any developer building video-first creative applications.

GPT Image 2: Language-Aware Image Generation by OpenAI

GPT Image 2 brings OpenAI’s multimodal intelligence to image generation. Unlike conventional text-to-image models that map keywords to visual patterns, GPT Image 2 leverages GPT’s deep language understanding to interpret complex, nuanced prompts with remarkable accuracy — producing images that reflect the full intent of what was written, not just individual keywords.

Available through the Pixazo API, GPT Image 2 is designed for developers who need an image generation endpoint that handles elaborate instructions, multi-element compositions, and context-rich creative briefs with precision.

GPT Image 2 Capabilities via Pixazo API

GPT Image 2 generates images from complex, multi-clause prompts with high fidelity to intent, understanding relationships, spatial instructions, and nuanced descriptions that simpler models miss. Existing images can be modified using plain-language instructions — adjusting composition, changing colours, adding or removing elements, or altering mood without manual selection tools. The model also supports generating creative variations of a source image while preserving its core identity, useful for A/B testing visual assets, producing ad variants, and exploring creative directions.

For complex scenes involving multiple subjects, layered contexts, and spatial relationships, GPT Image 2 handles multi-element compositions with precision — ideal for rich editorial imagery, detailed product visualisations, and conceptual artwork. The combination of GPT’s conversational intelligence with image generation means developers can build products where users interact with images in natural language, lowering the barrier to creative expression.

GPT Image 2 is well-suited for e-commerce product imagery, editorial and content teams, marketing automation, design prototyping tools, and any application requiring high-quality, intent-accurate visual output at scale.

One API. Two Flagship Models. Zero Switching Cost.

Both Seedance 2.0 and GPT Image 2 are fully integrated into the Pixazo API ecosystem. Developers access both models — and Pixazo’s full catalogue of AI image, video, music, and design APIs — under a single API key with no separate provider onboarding. The platform delivers a consistent developer experience through uniform request/response schemas, shared authentication, centralised rate limit management, and unified error handling across all models. Per-operation pricing for both models is published on the Pixazo API pricing page with no hidden costs and no long-term commitments required to get started. Detailed API documentation including endpoint references, request parameters, example requests, and response schemas are available at pixazo.ai/models.

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Closing the Trust Gap Starts at the Opt-In

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Closing the Trust Gap Starts at the Opt-In

Ecommerce brands are increasingly asking for customer data, yet they’re receiving less in return. That’s not a coincidence.

Collecting data beyond just name and email, like phone number, birthday, and preferences, enables more personalized messages for consumers. But because the value isn’t clear, consumers are willing to volunteer only a limited subset of low-risk information upfront.

New research from Intuit Mailchimp puts hard numbers on what many marketers suspect. While 65% of brands request a phone number via opt-in popups, only 28% of consumers are willing to share it. Just 8% of marketers report opt-in conversion rates above 20%. These low conversion rates point to a broader issue: low confidence.

This is the trust gap, and it’s sitting right at the front door of the customer relationship. The good news is that closing it doesn’t require a complete overhaul. It requires a smarter approach to addressing what brands ask for, when they ask for it, and how they can use what they already have.

List quality is the real growth metric.

For years, ecommerce growth was measured in subscriber counts: The bigger the list, the bigger the revenue. Now we understand that volume isn’t the best indicator for performance. What actually drives results is a list where subscribers open and click, data is current and accurate, and every contact is deliberately acquired rather than passively accumulated over time.

A high-quality list has a direct bottom-line impact; for instance, 50,000 engaged subscribers will naturally convert at a higher rate than 500,000 disengaged subscribers. Intentional audience building reduces costs, protects deliverability, and generates engagement that translates into measurable revenue.

Building that quality starts with trust. Only 31% of consumers assume brands will handle their data responsibly, and more than half say they’re willing to engage but worried about spam. Earning a place in someone’s inbox, let alone influencing their purchasing decisions, requires establishing credibility from the start.

The ask should match the moment.

More than half (51%) of brands place opt-in popups on the homepage, and 62% use page-load popups that fire immediately upon arrival. But asking for contact information before a visitor has browsed a product or read a review can feel premature and erode trust.

The research is clear on when consumers are most receptive: Half of consumers (50%) are most likely to opt in after browsing a brand’s offerings, 33% right before making a purchase, and 24% just before leaving the site. Triggering a popup form offering a discount after visitors have viewed a product aligns with where they actually are in their journey.

In practice, marketers are required to rethink their strategy to acquisition. The brands earning quality signups have stopped asking what data they can collect and started asking what value they’re offering in exchange for it. Incentives like early access or a first-purchase discount are concrete starting points. Optimizing the opt-in moment captures useful data from the start, and surfacing what subscribers do afterward compounds that value.

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Behavioral signals fill in what form fields leave out.

Instead of asking for more than customers are ready to share upfront, marketers should consider another approach: letting customer behavior do some of the work instead.

Every visit generates data. Signals like what someone browses, how long they spend on a product page, whether they return twice in a week, or what they add to a cart and walk away from reveal intent without requiring a single form field. Consumers generate these insights naturally by engaging with your brand, creating opportunities to start building the relationship before an email address is shared.

Behavioral signals fill in the gaps, deepen over time, and make the data brands collect more actionable. The goal is to identify where someone is in their relationship with your brand and meet them there, with the right message at the right moment. Acting on that at scale, however, requires more than good instincts; it requires knowing who to target, when to send, and what to say, and then acting on those decisions when it matters most.

AI turns behavioral data into action.

Collecting behavioral data and actually acting on it are two different problems. Triggering real-time, personalized follow-up messages based on browsing behavior, purchase history, and engagement signals across email and SMS isn’t something a marketing team can do manually at scale. AI can close that operational gap.

Brands with high-quality lists are three times more likely to run fully automated programs (38% vs. 13%), indicating that the brands investing in list quality are also the ones investing in the infrastructure to act on it. Marketers now rank AI-powered optimization among the most sought-after capabilities in their tech stacks.

The practical shift shows up in the customer journey. A high-value customer who has browsed multiple times and completed transactions warrants a different sequence than a new subscriber who went quiet after the first message or someone who abandoned a cart. AI makes it possible to identify those distinctions early and route customers into the right sequence automatically, turning what used to be guesswork into something systematic.

Acting on behavioral data at scale only works within the bounds of consumer trust. Personalization that feels natural and helpful builds the relationship, while personalization that feels intrusive or misaligned breaks it. The brands getting this right are transparent about what they collect and why, which reinforces the same value exchange that drives opt-in quality in the first place.

The opt-in is just the beginning.

The brands positioned for success are treating the opt-in not as a list-building opportunity but as the first moment of a long-term relationship. Strategic timing, relevant incentives, and a clear value exchange up front set the foundation. Behavioral signals and automation build on it, surfacing the right message at the right moment.

The trust gap closes the moment brands start treating the opt-in as an invitation rather than a transaction. The result isn’t just a bigger list; it’s a more valuable one, built on trust that shows up in repeat purchases, higher engagement, and lasting loyalty.

About Intuit Mailchimp

Mailchimp is the all-in-one integrated marketing platform for small businesses.

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Keyword Structuring Shapes the Foundation of Effective Website Content

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Keyword Structuring Shapes the Foundation of Effective Website Content

New Orleans Web Design Company | Rhino Web Studios

The structure of keywords within website content continues to influence how information is organized, discovered, and interpreted across digital platforms. As search behavior evolves, the placement and relationship of keywords within a page have become as important as the keywords themselves.

Keyword structuring refers to the deliberate organization of primary and secondary terms throughout a website’s content. Rather than focusing on isolated phrases, this approach emphasizes how topics connect, how ideas are layered, and how language flows in a way that mirrors natural search patterns. This method supports both readability and search engine indexing without relying on repetitive or unnatural phrasing.

Search engines no longer respond to isolated phrases in the same way. Content needs to reflect how topics relate to each other. ”

— Brett Thomas

Modern search engines analyze context, intent, and semantic relationships. Pages that group related terms together in a logical format often provide clearer signals about subject matter. This clarity helps search engines interpret content more accurately, which can influence how pages are categorized and displayed in results.

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At the core of keyword structuring is hierarchy. A page typically begins with a primary topic, supported by related subtopics that expand on the main idea. This structure mirrors the way people process information, starting broad and moving into detail. When keywords follow this pattern, content becomes easier to navigate and more intuitive to read.

Internal linking also plays a role in keyword structuring. When related pages connect through shared terminology, it reinforces topical relevance across a website. This interconnected structure creates a network of information rather than isolated pages. Search engines often use these connections to understand the depth and breadth of a subject within a domain.

Another factor involves placement. Keywords positioned in headings, introductory sections, and transitional areas tend to carry more contextual weight. These placements signal importance without requiring repetition. Balanced distribution avoids overcrowding while maintaining clarity.

Content length alone does not determine effectiveness. Instead, the organization of ideas within that content influences how information is interpreted. Structured keyword use allows longer content to remain focused, guiding readers through a clear progression of thought.

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Brett Thomas, owner of Rhino Web Studios in New Orleans, Louisiana, described keyword structuring as a shift in how content is approached. “Search engines no longer respond to isolated phrases in the same way. Content needs to reflect how topics relate to each other. Structure creates meaning, and meaning creates clarity.”

This perspective reflects a broader change in digital content strategy. Earlier methods often centered on frequency, where repeating a keyword increased visibility. Current systems place greater emphasis on relevance and coherence. Pages that demonstrate a clear understanding of a subject, supported by organized keyword relationships, tend to align more closely with these systems.

User experience also intersects with keyword structuring. Visitors often scan content before reading in detail. Headings, subheadings, and clearly defined sections help guide that process. When keywords are embedded naturally within these elements, readers can quickly identify whether the content matches their needs.

Mobile browsing has further influenced content structure. Smaller screens limit how much information appears at once, making organization more important. Structured keywords support concise sections that remain easy to follow regardless of device.

Voice search introduces another dimension. Spoken queries often reflect conversational language rather than fragmented terms. Structured content that includes natural phrasing and related keywords can better align with these types of searches. This approach supports a broader range of query styles without requiring separate optimization strategies.

Consistency across a website reinforces keyword structure over time. Pages that follow similar organizational patterns create a cohesive experience. This consistency can help both users and search systems recognize patterns and relationships within the content.

Metadata, including titles and descriptions, also benefits from structured keyword use. When these elements align with the content on the page, it strengthens the overall message. Alignment reduces ambiguity and supports clearer indexing.

Content updates present another opportunity to refine keyword structure. As topics evolve, adjusting how keywords are grouped and presented can maintain relevance. This process does not require complete rewrites, but rather a reassessment of how information is arranged.

Technical elements, such as page speed and accessibility, work alongside content structure. While these factors operate independently, structured content can enhance their effectiveness by reducing confusion and improving navigation.

The role of keyword structuring continues to expand as digital systems become more context-driven. Rather than focusing on individual terms, the emphasis now rests on relationships, clarity, and organization. This shift reflects a broader movement toward content that mirrors human understanding rather than mechanical patterns.

“Content should read the way people think,” Thomas added. “When structure follows that principle, both readers and search systems respond more naturally.”

As websites continue to serve as primary sources of information, the way content is structured remains central to how that information is accessed and understood. Keyword structuring represents one part of that process, shaping not only visibility but also the overall experience of navigating digital content.

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InMarket Announces Partnership for Real-Time, Visit-Based Optimization Solution with Yahoo DSP

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InMarket Announces Partnership for Real-Time, Visit-Based Optimization Solution with Yahoo DSP

Advertisers can now optimize campaigns in-flight using daily visit signals

InMarket, the leader in real-time marketing and measurement, announced a new strategic partnership with Yahoo DSP, the omnichannel programmatic platform designed to offer flexibility and drive value to brands and agencies. Through this expanded partnership, advertisers on Yahoo DSP in the U.S. and Canada can now leverage InMarket’s measurement solution to better gauge the effectiveness of media campaigns across platforms in driving real-world conversions.

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Through a daily stream of observed store visits from InMarket, Yahoo DSP users can leverage Yahoo In-Flight Outcomes to connect media exposure with in-person visits. This integration facilitates automated, real-time campaign adjustments via Yahoo Blueprint to enhance overall performance. In utilizing this powerful tool, advertisers will benefit from clear correlation of media performance to visitation behaviors, analysis of multi-location performance, and directional campaign reporting, all showing how digital advertising efforts show up in real-world behaviors.

“Marketers today are under increased pressure to prove the impact of their advertising efforts,” said Michael Della Penna, Chief Strategy Officer at InMarket. “Our partnership with Yahoo DSP offers advertisers the insights they need to track how ongoing exposure to their various advertising tactics are impacting KPIs – allowing them to make critical changes to optimize their campaigns while they are still in flight.”

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To amplify its effectiveness, these visit insights can be paired with InMarket’s robust Campaign Incrementality measurement platform, available outside of the Yahoo DSP, to maximize conversion tracking and increase timely accountability and reporting. As an additive solution to reporting on real-world visits, Campaign Incrementality can also demonstrate the impact that multi-dimensions have on increasing campaign ROAS, incrementality, and lift tied to visits and sales.

“As we continue to evolve our In-Flight Outcomes solution, this partnership with a recognized leader in in-store visit measurement enables more timely and informed omnichannel decision-making across key verticals, including retail, QSR, and automotive,” said Emily Ray, Sr. Director Business Development Yahoo DSP. “InMarket’s capabilities complement our broader approach, helping advertisers better understand and maximize campaign performance.”

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Wiland™ Expands Predictive Analytics Capabilities with Introduction of Neural Net Modeling

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Wiland™ Expands Predictive Analytics Capabilities with Introduction of Neural Net Modeling

Advanced AI-driven modeling delivers stronger audience discovery, performance, and long-term value across industries

Wiland™, the leading provider of predictive audience intelligence, announced the addition of the WAIfarer and WAIfinder models, bringing advanced Neural Net modeling to its suite of predictive analytics solutions. This expansion enhances Wiland’s ability to help brands and nonprofits find more responsive prospects, keep their most valuable customers engaged, and grow long-term revenue with greater precision and confidence.

“Neural Net modeling unlocks predictive intelligence that helps brands find new audiences and drive measurable growth.” — Mike Gingell, CEO, Wiland

While much of today’s AI conversation centers around generative tools and large language models, Wiland’s Neural Net models are purpose-built for predictive performance. Designed to analyze complex relationships between variables across multiple hidden layers, Neural Net models identify patterns and audience opportunities that traditional machine learning approaches often miss. Early prototyping has demonstrated stronger performance than standard modeling approaches, including improved prospect discovery and higher merge survival rates.

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“AI is only valuable when it drives measurable business outcomes,” said Mike Gingell, CEO of Wiland. “Our investment in Neural Net modeling reflects our commitment to helping clients move beyond surface-level insights and into truly predictive intelligence. This capability allows us to uncover new, high-performing prospect universes and deliver incremental growth that simply wasn’t accessible before.”

The addition of Neural Net modeling benefits clients across all industries Wiland serves and is particularly impactful in non-cooperative data environments, where advanced modeling sophistication is critical to uncovering new opportunities.

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With this enhancement, Wiland further strengthens its competitive edge in predictive analytics, reinforcing its mission to transform complex consumer spend signals into forward-looking intelligence that powers smarter marketing decisions.

WAIfarer and WAIfinder models integrate seamlessly with Wiland’s existing data assets and predictive frameworks, ensuring clients can adopt the new capability without disruption to current workflows or systems.

“Our focus has never been on having the most data,” Gingell added. “It’s about delivering the most predictive intelligence. Neural Net modeling represents a meaningful evolution in how we help brands find the right audiences, build lasting relationships, and grow with confidence.”

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Mocean Names Laura Likos President of Brand; Launches a New Operating Model Built For Brands Navigating Culture

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Mocean Names Laura Likos President of Brand; Launches a New Operating Model Built For Brands Navigating Culture

Three-time Entertainment Agency of the Year appoints 72andSunny vet to lead brand expansion, with Publicis vet Ryan Bucci named Chief Creative Officer of the Brand practice

Joget Introduces AI Composer for Conversational Enterprise App Composition with Built-in Governance

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Joget Introduces AI Composer for Conversational Enterprise App Composition with Built-in Governance

Joget AI Composer, conversational AI capabilities within the Joget DX platform, enables development teams and business users to compose and modify production-ready enterprise applications through natural language, while maintaining the audit trails and compliance controls required in regulated environments.

Joget Inc., the global innovator of the open-source, AI-powered enterprise application development platform, announced the availability of Joget AI Composer in Joget DX. The new AI capability allows users to compose, extend, and modify enterprise applications through natural language prompts, with all outputs rendered within Joget’s visual builders and subject to the platform’s existing governance framework.

Enterprise development teams continue to face a widening gap between business demands for applications and available delivery capacity. While AI-assisted coding tools promise to accelerate initial development by generating source code, they introduce downstream requirements for debugging, maintenance, security review, and compliance documentation. For enterprises bound by strict governance, security, and regulatory requirements, this can shift rather than reduce the overall delivery burden.

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Joget AI Composer takes a fundamentally different approach. Rather than generating raw code, it composes governed application components, using the same structured metadata that Joget DX has always used to define and run applications. Every form, workflow, data view, and interface built through AI Composer is immediately visible inside Joget’s visual builders, remain editable by any team member, and subject to the same audit and governance controls as any other traditionally built applications.

“Most enterprise teams we speak with are evaluating how to adopt and move faster with AI development tools without creating new maintenance burdens or compliance gaps. The question we hear consistently is whether the applications built with AI assistance can be governed, audited, and maintained by existing teams without requiring specialized expertise to interpret AI-generated outputs,” said Raveesh Dewan, President and CEO, Joget Inc.

“AI-assisted code generation adds speed at one end but can introduce complexity at the other. We believe enterprises deserve tools that give them both. That is what shaped the decisions behind Joget AI Composer, and it is what we will continue to uphold as it evolves.”

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Governance and Compliance Requirements in AI-Assisted Development

When AI tools produce raw source code, compliance responsibilities, including security review, change management documentation, and audit trails, typically fall to the team inheriting that code. In financial services, healthcare, government, and other regulated sectors, this can introduce delays at critical points of the delivery process.

Joget AI Composer addresses this by working within the existing governance structure of Joget DX. Composed components are visible in the platform’s visual builders and subject to established controls. Token usage is tracked through a Governance Dashboard, agent execution is recorded in full audit logs, and administrators retain visibility and control across the AI Composer workflow, from the initial prompt through deployment.

“We built the AI Composer on our AI Agent Builder, the same infrastructure that supports AI agents for production every day,” said Julian Khoo, Chief Technology Officer, Joget Inc. “This means the capability is not running on a separate experimental system, but on infrastructure that is already operational and subject to the same continuous improvement as our customers’ existing agent deployments.”

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unitQ Launches AI Quality Intelligence Platform to Close the Gap Between Customer Experience and Business Outcomes

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unitQ Launches AI Quality Intelligence Platform to Close the Gap Between Customer Experience and Business Outcomes

The first platform that turns every customer signal into action before KPIs move.

unitQ, the leader in AI quality intelligence, announced the launch of its unified platform: a single system that continuously captures, analyzes, and connects every customer signal to the business outcomes that matter: revenue, retention, and risk. The platform brings together six purpose-built products — monitorQ, metricQ, competeQ, supportQ, interviewQ, and socialQ — under one intelligence layer, replacing fragmented point solutions and giving every team a single, shared view of what customers are experiencing in real time.

The launch marks a defining moment in how enterprises act on customer feedback. Legacy tools show what a fraction of customers said weeks ago. Point solutions surface what they’re saying now but stop short of connecting it to revenue, retention, or risk. The unitQ platform does both and connects it directly to the business outcomes that matter.

“unitQ was built by listening closely to the companies who trusted us early on. What started as real-time customer monitoring became something much bigger as our customers pushed us to go deeper, connecting what customers feel to what it means for revenue, retention, and risk,” says Christian Wiklund, unitQ Founder and CEO. “That’s what today’s platform represents. Not a rebrand or a pivot, but a direct response to what the world’s most quality-obsessed companies told us they needed.”

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A New Category: AI Quality Intelligence

unitQ defines quality as the gap between what customers expect and what they actually experience. AI Quality Intelligence is how organizations measure it, close it, and connect it to the business outcomes that matter. It serves as a system of record for quality itself.

The category emerged from a core insight: fragmented tools produce fragmented understanding, and fragmented understanding is how companies lose customers they never knew were at risk. The unitQ platform is built on the premise that customer truth has to be unified to be actionable, and that every team, from CX to the C-suite, needs to work from the same reality.

The Platform: Six Products, One System

The unitQ platform is built on a single premise: customer truth has to be unified to be useful. Six purpose-built products form the complete system: monitorQ, the always-on backbone that surfaces issues the moment they emerge; metricQ, which connects every customer signal directly to the business metrics that drive each company — from total payments volume to member engagement — so teams can quantify impact and prioritize with confidence; competeQ, which benchmarks quality against competitors in real time; supportQ, which evaluates every human and AI interaction — not just the 3% that get sampled; interviewQ, which delivers qualitative insight at scale in minutes; and socialQ, which turns untagged social conversations into a proactive intelligence source.

Together, they give every team — product, engineering, CX, and leadership — a single, shared view of what customers are experiencing right now and what it means for the business.

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Trusted by the Most Quality-Obsessed Companies

The products millions of consumers love every day — including Pinterest, Adobe, PayPal, Bumble, DraftKings, and Dropbox — trust unitQ to close the gap between what customers experience and what companies know about it.

“Pinterest is in the business of inspiring people. You cannot inspire someone who’s having a less-than-ideal experience on the app,” says Vani Kumar, Head of Quality Engineering at Pinterest. “unitQ gives us the ability to have a true finger on the pulse of our millions of users — and now we’re able to have intelligence and ask why across all of our users’ experiences. That’s what it means to take quality seriously at Pinterest’s scale.”

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Madison Logic Launches Pipeline Insights to Help Marketers Engineer Faster, More Predictable Growth

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Madison Logic Launches Pipeline Insights to Help Marketers Engineer Faster, More Predictable Growth

Account-Based Marketing Platform Solutions | Madison Logic

New dashboard delivers real-time pipeline intelligence for multi-channel ABM campaigns

Madison Logic, a B2B marketing technology company focused on performance-first strategies, today announced the launch of the Pipeline Insights Dashboard, a game-changing feature designed to help marketers visualize and measure campaign impact. For the first time, marketers can now connect content syndication, programmatic and social engagement signals directly to stage-by-stage pipeline advancement in real time, gaining clear visibility into how multi-channel campaigns influence opportunity movement across the buying journey. By bridging the gap between engagement reporting and retroactive attribution, the new Pipeline Insights Dashboard empowers teams to make data-driven decisions that transform engagement into measurable pipeline acceleration.

“Far too often marketers accountable for delivering measurable pipeline growth lack a clear, unified view of performance across the buying journey,” said Justin Hoskins, Vice President of Product at Madison Logic. “As performance marketing becomes central to B2B growth strategies, brands need intelligence that connects signal to revenue with precision. By providing this level of visibility, they can now not only identify optimization opportunities earlier but can achieve more accelerated and predictable pipeline outcomes.”

Content syndication, programmatic, and social ad campaigns represent a significant investment, yet marketers often make budget decisions based on tactical metrics like impressions, clicks, and leads. They lack clear visibility into how these activities translate into pipeline movement, leading them to scale campaigns that generate activity but not necessarily advancement. This disconnect comes at a time when the industry is demanding greater accountability. Madison Logic research shows 62% of B2B leaders say the future of advertising will be defined by performance-driven strategies, while 84% report shifting away from impression-based marketing toward intelligence-led strategies. Meeting that mandate requires real-time pipeline intelligence that reveals what’s truly driving account progression and revenue impact.

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The Pipeline Insights Dashboard addresses this challenge by connecting channel exposure directly to stage movement within the CRM. Instead of reporting on activity or retroactive attribution alone, the dashboard shows whether media programs are contributing to forward momentum. Marketers can now analyze which campaigns are advancing, stalling, or regressing opportunities, understand the level of multi-channel engagement required to move an account to the next stage, and identify where pipeline movement is breaking down.

“This launch marks a fundamental shift from engagement reporting to pipeline intelligence,” said Keith Turco, CEO of Madison Logic. “By giving marketers, a unified, progression-based view of campaign impact, we’re empowering them to move from measuring activity to intentionally engineering predictable pipeline growth. It’s about understanding how pipeline is built, not just how it’s reported.”

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D-ID Launches ‘Agentic Videos’, Turning Passive Content into Interactive AI Experiences

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D-ID Launches 'Agentic Videos', Turning Passive Content into Interactive AI Experiences

D-ID, a leader in enterprise-grade AI avatar solutions, announced the launch of Agentic Videos, a new capability that transforms traditional video into interactive, conversational experiences powered by real-time AI agents.

The launch builds on D-ID’s recently introduced V4 Expressive Visual Agents, a new generation of digital humans capable of low-latency, natural conversation. With Agentic Videos, D-ID extends these real-time capabilities into video itself, shifting content from a linear, one-way format into a more interactive, two-way experience, with knowledge, memory, a digital human interface, and agentic capabilities.

Video has become the content format of choice, but it has remained one-directional in an increasingly interactive digital world. Agentic Videos combine the most powerful format for content delivery: video, with real-time, interactive AI, creating a more engaging and responsive experience for both viewers and creators.

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Viewers can explore content more deeply, ask questions, and personalize their experience, while creators gain richer insight into how audiences engage, where attention holds, and what resonates.

Each Agentic Video includes a visual AI agent – a human-like avatar that is able to conduct a natural conversation with the viewer. It understands the video’s script and context, enabling real-time interaction throughout the experience. Users can ask questions, request clarification, or dive deeper into specific topics via voice or chat. The agent is integrated as an additional layer within the video experience and remains available both during playback and after the video ends, so the experience continues beyond the video itself.

This shift marks a fundamental change in how information is consumed, signaling that agentic workflows are the future of digital engagement, yielding high value across the entire corporate ecosystem. In advertising and product marketing, agentic videos bridge the gap between awareness and conversion by transforming a static commercial into a personalized consultation; potential customers no longer just watch a product demo – they can ask about specific features, compare pricing, or request a tailored use case in real-time. Similarly, for internal corporate applications like learning & development, these videos function as 24/7 subject matter experts. Instead of a passive onboarding session where information is easily forgotten, employees can probe for deeper context on company policy or technical training, ensuring higher knowledge retention and a more intuitive, self-paced learning journey.

Unlike standard interactive video tools, Agentic Videos are powered by real-time AI visual agents that understand both the content and the intent behind user queries. Responses are grounded in the original video script, with the ability to incorporate additional knowledge sources, ensuring answers remain accurate, contextual, and aligned with the creator’s message.

Built on D-ID’s V4 architecture, Agentic Videos benefit from sub-second response latency and advanced expression control, enabling interactions that feel immediate and natural.

The experience is fully integrated into the video player, allowing users to access the AI agent at any point via a dedicated interaction icon. At the end of the video, the agent appears automatically to continue the conversation, extending engagement without interrupting the viewing experience.

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Because D-ID’s avatars power both the video and the agent, the same persona carries through the entire experience, enabling a natural shift from watching to interacting, while strengthening continuity and trust.

Agentic Videos also introduce a new layer of analytics for content creators. Organizations can track user interactions, including conversation volume, engagement time, and the topics and sentiment of viewer questions, providing deeper insight into audience needs and content effectiveness.

“Video has always been a one-way medium,” said Gil Perry, Co-Founder and CEO of D-ID. “With our V4 agents, we’ve brought digital humans to scale, enabling natural, real-time interaction. With Agentic Videos, we’re bringing that capability directly into content, so instead of just watching, you’re interacting. This opens up a new, much more effective way for organizations to train their employees, communicate with their clients, and market their products more efficiently.”

The new capability is integrated into the simpleshow platform following D-ID’s 2025 acquisition, enabling enterprises to create and deploy interactive, AI-powered videos across training, customer engagement, and internal communications.

Agentic Videos are available immediately across all subscription plans, with a flexible, credit-based model designed to scale for enterprise use.

Agentic Videos represent the next step in D-ID’s vision of digital humans as the interface layer for enterprise software, evolving from real-time agents (V4) to fully interactive, conversational content experiences.

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MPC Paris Delivers VFX and Image Post-Production for STUDIOCANAL’S Cold Storage

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MPC Paris Delivers VFX and Image Post-Production for STUDIOCANAL'S Cold Storage

TransPerfect Studio Produces Its Largest Integrated Project with 541 Shots over 18 Months

  • MPC Paris, a TransPerfect studio, delivered 541 VFX shots for STUDIOCANAL feature film Cold Storage

  • Cold Storage represents the largest single-project VFX and finishing volume for MPC Paris

  • 431 artists and technicians executed the project over an 18-month schedule

TransPerfect Media, a global provider of visual effects, post-production, and localization services, announced that its MPC Paris studio delivered visual effects and full image post-production for Cold Storage. MPC Paris is part of TransPerfect Media, the media and entertainment division of TransPerfect.

The film was directed by Jonny Campbell and produced by STUDIOCANAL, Gavin Polone, and David Koepp. Based on a 2019 novel by Koepp, it follows two employees at a self-storage facility who confront a rapidly spreading parasitic fungus released from a former military site.

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The project included 541 VFX shots completed over an 18-month production schedule, representing one of the largest integrated VFX and finishing engagements undertaken by MPC Paris. A team of 431 artists and technicians contributed across departments, executing work that ranged from digital set extensions and CG environments to creature animation and large-scale destruction sequences.

MPC Paris collaborated closely with STUDIOCANAL and the film’s creative leadership throughout production. VFX supervision was co-led by MPC Paris’ Bastien Chauvet and Nikolas D’Andrade.

Cold Storage required us to cover the full VFX spectrum, from subtle cleanups to the total destruction of environments, including creatures and digital set extensions,” D’Andrade said.

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In addition to visual effects, MPC Paris managed image post-production, overseeing picture conforms, grading, and final theatrical and home entertainment deliveries, including Dolby Vision masters. By integrating laboratory and VFX workflows, the studio maintained visual consistency from editorial through final delivery.

TransPerfect President and Co-CEO Phil Shawe remarked, “Cold Storage reflects the scale and technical sophistication of MPC Paris. From high-volume VFX through final image finishing, the team delivered.”

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PixerLens and Tata Consultancy Services Partner to Deliver AI-Powered Application Intelligence on TCS SovereignSecure™ Cloud

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PixerLens and Tata Consultancy Services Partner to Deliver AI-Powered Application Intelligence on TCS SovereignSecure™ Cloud

PixerLens, Inc. announces a strategic partnership with Tata Consultancy Services (TCS) to jointly deliver advanced AI-powered solutions to enterprises worldwide. As part of this partnership, PixerLens’ AI platform, Annotet AI, will be deployed on the TCS SovereignSecure™ Cloud and made available to customers globally as a joint offering.

This partnership brings together PixerLens’ AI-powered application, Annotet Pulse, with TCS’ global delivery capabilities and enterprise cloud ecosystem. Together, the two companies will enable organizations to enhance their technology security posture through proactive vulnerability management, improve application performance and quality through functional, performance, code, and security insights; that enables audit, compliance, and operational resilience through unified AI-powered insights.

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By integrating Annotet Pulse within the TCS SovereignSecure™ Cloud, enterprises can adopt advanced AI capabilities while maintaining strict compliance with data sovereignty, security, and regulatory requirements. This collaboration enables organizations across verticals to operationalize AI securely while improving governance, visibility, and resilience across their software ecosystems.

“Partnering with Tata Consultancy Services marks a significant milestone for us at PixerLens. By working closely with TCS’ SovereignSecure™ Cloud, we aim to enable secure, scalable AI adoption and help enterprises move from fragmented insights to AI-driven, proactive decision-making at scale.”

— Rajesh Devidasani, CFO & Head of Corporate Development, PixerLens

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“We are looking forward to collaborating with PixerLens, Inc., to help enterprises adopt intelligent sovereign cloud solutions. This partnership will strengthen digital security, compliance, and scalability at scale with the AI-powered TCS SovereignSecure Cloud™. TCS has infused its rich industry experience, vast contextual knowledge, and in-depth cloud expertise into TCS SovereignSecure™ Cloud that can foster a trusted infrastructure.”

— Satishchandra Doreswamy, Global Head, TCS SovereignSecure™ Cloud

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Cytora and LexisNexis Risk Solutions announce strategic relationship to enhance risk selection and automation for U.S. commercial insurers

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Cytora and LexisNexis Risk Solutions announce strategic relationship to enhance risk selection and automation for U.S. commercial insurers

The collaboration accelerates digital risk processing by integrating comprehensive data and analytics directly into AI-enabled digital underwriting workflows

Cytora and LexisNexis Risk Solutions have announced a strategic relationship to embed best-in-class data and advanced analytics from LexisNexis Risk Solutions directly into the Cytora platform to help U.S. commercial insurance companies scale their ability to assess, predict and manage risk.

For U.S. commercial insurers, a centralized and automated approach to underwriting can help deliver unparalleled insight into risk selection. Commercial insurers leveraging Cytora’s configurable, LLM-powered platform can tailor essential information from LexisNexis Risk Solutions to their own unique underwriting criteria, helping to enhance speed and accuracy in critical processes such as submission triage and entity resolution.

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This approach empowers commercial insurers to automatically enrich submissions with crucial external information, minimizing manual lookups and reducing friction across underwriting workflows. As a result of the collaboration, commercial insurers can substantially improve the speed of their risk decisioning.

Cytora’s platform digitizes each incoming risk, augments it with external data sources, evaluates it against configured rules and routes it for automated or manual underwriting. LexisNexis Risk Solutions brings industry-leading data analytics solutions to provide a more thorough picture of risk, as well as proprietary linking technology for individual business entity resolution, to help ensure that risk information is transformed into decision-ready assets across the entire policy lifecycle, from new business to claims and renewals. The incorporation of U.S. commercial business firmographics data via LexisNexis® Commercial Data Prefill represents the first step in integrating additional LexisNexis Risk Solutions commercial insurance products into the Cytora platform.

Juan de Castro, COO at Cytora, said: “This collaboration marks a significant milestone in Cytora’s mission to build one of the world’s most comprehensive data ecosystems for insurers. LexisNexis Risk Solutions is renowned for providing essential information and advanced data analytics to the insurance industry. By integrating their robust risk data directly into our platform, we are providing our commercial insurance clients with the intelligence needed to accelerate their decision-making and enhance control over risk selection. Together, we can enable underwriters to operate on a more complete, tailored view of the client risk profile, helping to optimize operational efficiency and drive profitability across all lines of business.”

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David Zona, senior vice president and general manager, U.S. commercial and life insurance, LexisNexis Risk Solutions, said: “Working with Cytora represents a strategic leap forward, specifically benefitting U.S. commercial insurers. By combining cutting-edge AI with unparalleled data intelligence, we can transform underwriting from a reactive process into a proactive, insight-driven discipline and at the same time deliver innovation at scale through precision risk assessment, while reducing friction. This empowers our mutual commercial insurer customers to help streamline critical processes, leverage sophisticated data analytics to best understand granular and book-of-business risk and accelerate their decision-making using highly automated workflows to drive sustainable growth.”

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Kyndryl Accelerates Momentum with Google Cloud to Drive Large-Scale Enterprise IT Modernization for Customers

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Kyndryl Accelerates Momentum with Google Cloud to Drive Large-Scale Enterprise IT Modernization for Customers

Growing customer adoption, industry recognition and new solutions underscore deepening hyperscaler collaboration

Kyndryl, a leading provider of mission-critical enterprise technology services, announced it has continued to expand and strengthen its collaboration with Google Cloud to help customers modernize their IT infrastructure, unlock data-driven insights, and advance AI-powered innovation.

As enterprises across industries are accelerating cloud adoption to improve resilience, sustainability and operational agility while preparing their environments for AI at scale, Kyndryl and Google Cloud are deploying and managing Google Cloud solutions that leverage their combined deep infrastructure expertise and advanced cloud and data capabilities. Customers are increasingly seeking trusted partners that can modernize complex, mission-critical systems and translate cloud investments into tangible business outcomes. Kyndryl’s expanding work with Google Cloud addresses these needs through a shared commitment to helping enterprises modernize and embrace AI at scale through trusted expertise, industry-focused solutions and advanced cloud technologies.

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Customer adoption of solutions powered by Kyndryl and Google Cloud continues to grow across regions and industries. For example:

  • In Mexico, Kyndryl is working with Google Cloud to support PiSA Farmacéutica’s technology modernization, establishing a cloud-based foundation to accelerate migration, expand digital capabilities, and prepare for future AI initiatives. The engagement aligns PiSA’s transformation strategy with Google Cloud technology and Kyndryl’s expertise in critical infrastructure and data enablement.
  • Partnering with Southbay, Nike’s official distributor in Argentina and Uruguay, Kyndryl will modernize the retailer’s data management on Google Cloud to deliver real-time visibility into inventory and sales while enabling data- and AI-driven decision-making across retail channels.
  • Kyndryl recently launched an agentic AI-powered Aviation Industry Cloud Solution designed to run on Google Cloud, helping airlines modernize operations, securely access data, and enhance both customer and workforce experiences. The solution brings together Kyndryl’s aviation expertise and Google Cloud’s advanced capabilities to streamline operations and unlock new value from enterprise data.

“Our collaboration with Google Cloud continues to gain momentum as more enterprises rely on Kyndryl to modernize mission-critical environments and build cloud foundations for AI and innovation,” said Giovanni Carraro, Global Strategic Alliances Leader, Kyndryl. “Together, we are helping customers move faster, operate more efficiently, and create sustainable, future-ready digital platforms.”

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Kyndryl has also expanded its Google Cloud capabilities to support customers’ sustainability goals. By achieving the Google Cloud Ready – Energy & Carbon designation, Kyndryl is helping organizations design, develop and manage more energy-efficient IT operations using AI-driven insights, enabling customers to advance sustainability and carbon-reduction initiatives while modernizing their infrastructure. In addition, Kyndryl announced an extended agreement with CMPC in Chile to modernize the company’s IT operations for a more digital and sustainable future. Experts from Kyndryl Consult will help migrate CMPC’s enterprise resource planning (ERP) environment and corporate applications to Google Cloud, as well as integrate insights from Kyndryl Bridge – the company’s AI-powered, open-integration digital business platform – to better manage CMPC’s IT estate and advance its 2030 Sustainable Development Goals.

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