Search
Home Blog Page 6

New Relic Celebrates Strategic Partnership with Microsoft at Build 2026

By
Business Wire
-
0
New Relic Celebrates Strategic Partnership with Microsoft at Build 2026

New Relic Corporate Communications Logo

Observability leader grew customer committed bookings through Microsoft Marketplace transactions by double digits over recent 12 months

Collaborative innovations empower development, ITOps, DevOps, SRE and platform engineering teams to automate incident resolution to reduce MTTR and boost productivity

New Relic, the Intelligent Observability Company, is at Microsoft Build 2026 this week to showcase innovations from its longstanding strategic partnership with Microsoft and celebrate recent sales momentum. New Relic continues to see strong customer demand with Microsoft evidenced by strong double-digit year-over-year growth of committed bookings through the Microsoft Azure Marketplace for the period ending March 31, 2026.

New Relic announced at Build 2026 that it grew customer committed bookings through Microsoft Marketplace transactions by double digits over recent 12 months.

Empowering customers to unlock business value in the AI era with Azure and GitHub innovations

New Relic shares a history of innovation over their 14 years of partnership with Microsoft, evolving to continually stay ahead of market needs. Over the past year, New Relic has delivered a suite of solutions to help Azure customers navigate today’s complex technology environment. As enterprises increasingly deploy autonomous agents and AI-generated code, the collaboration between New Relic and Microsoft remains focused on providing observability directly into the Azure and GitHub workflows where developers and SREs live every day. As a result, teams can surface actionable insights and automate incident detection, root cause analysis and remediation. Integrations include:

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

  • Agentic AI integrations with Azure: New Relic’s agentic AI integrations with Microsoft Azure are designed to reduce mean time to resolution (MTTR) of incidents and enhance developer productivity. The cornerstone of this innovation is the New Relic Model Context Protocol (MCP) Server, which embeds Intelligent Observability insights directly into the Azure SRE Agent. New Relic Monitoring for Microsoft Foundry ingests logs and metrics from Azure into New Relic, delivering a nuanced and insightful dashboard view of an application or agent’s performance. Learn more here.
  • AI-strengthened innovations with GitHub: Designed to enhance developer productivity and security, the company released New Relic Security RX integration for GitHub Copilot that uses runtime context to detect, evaluate, and suggest remediation for software vulnerabilities. The GitHub Actions integration helps eliminate observability blind spots by detecting and helping to resolve missing instrumentation during deployment. By embedding Intelligent Observability insights directly into developers’ workflows, New Relic empowers enterprises to reduce manual troubleshooting and accelerate the delivery of secure, high-performing code. Learn more here.
  • Coding Agent integration: New Relic integrated its AI-strengthened technology with GitHub Copilot’s coding agent to transform manual change validation and incident response into an automated, AI-driven process. By establishing a virtuous cycle of continuous improvement through intelligent agents, the integration can significantly boost system reliability and developer productivity.

Marketing Technology News: Idle data is as good as no data

“Our strategic partnership with Microsoft is built on the shared goal of helping customers adopt AI at scale with confidence. At Build 2026, we are showcasing how New Relic and Microsoft are pushing the boundaries of software to drive truly actionable, autonomous intelligence,” said Thomas Lloyd, Chief Business and Operations Officer at New Relic. “By bringing together our AI-strengthened deep observability insights with a number of Microsoft’s own AI agents, we’re allowing customers to move beyond insights to independent, real-time action. This ongoing collaboration is about delivering together upon the future promises of AI with technology available to our joint customers, today.”

Accelerating time-to-value via Microsoft Marketplace

New Relic is a featured partner in Microsoft Marketplace, allowing customers to use their existing Azure consumption commitments (MACC) to easily deploy observability across their organization. New Relic Monitoring for SAP Solutions, the only agentless certified RISE with SAP observability solution on the market, is also available in the Marketplace, delivering superior performance and minimizing interruptions for Azure customers.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Growtheon Challenges Legacy Agency Software With AI-Powered Growth Platform

By
MTS Staff Writer
-
0
Growtheon Challenges Legacy Agency Software With AI-Powered Growth Platform

Growtheon

New all-in-one platform gives agencies CRM, automation, AI voice, funnels, websites, and client management without bloated software stacks.

Growtheon announced the launch of its AI-powered growth platform, positioning the company as a direct and disruptive alternative to HighLevel and the legacy agency software model.

When we got banned from HighLevel, I realized agencies needed a platform they could actually control. That moment lit the fire for Growtheon.”

— John M. Deleman – Founder, Growtheon

HighLevel, also known by many agencies as GoHighLevel, has become one of the best-known all-in-one sales and marketing platforms for agencies. It combines tools such as CRM, funnels, websites, workflows, messaging, appointment booking, marketing automation and white-label capabilities into one system. For years, agencies have used platforms like HighLevel to manage client campaigns, automate follow-up, resell software and operate their businesses from a central dashboard.

Marketing Technology News: MarTech Interview with Liat Barer, Chief Product Officer @ Odeeo

But for Growtheon founder John M. Deleman, the relationship with that model ended with a hard lesson: agencies need more than software. They need control.

According to Growtheon, Deleman previously built inside the HighLevel ecosystem and believed he was operating within the rules. The company says that after being told he was compliant, his account was terminated days later without warning and client accounts were moved out of his control. Instead of rebuilding on another platform with the same risks, Deleman decided to build his own.

“That was the moment everything changed,” said John M. Deleman, Founder of Growtheon. “I remember saying, ‘Yeah, we’re going to end up replacing HighLevel.’ It was not a slogan. It was a decision. When you realize someone else can control the foundation of your business, you either accept it or you build something better.”

Marketing Technology News: What Marketers Need to Know About the European Accessibility Act

Growtheon was created as an independent AI-powered CRM and agency growth platform designed to help businesses manage leads, automate workflows, build funnels and websites, communicate with clients, organize pipelines, deploy AI-powered systems and scale without stacking multiple subscriptions.

The company’s message is simple: agencies should not have to pay more just because they grow.

“In my opinion, the old model was squeezing agencies,” Deleman said. “You pay more, stack more tools, get locked in deeper and still do not fully control the system your clients depend on. I felt ripped off by the way the industry was moving, and I knew other agency owners felt the same pressure. Growtheon is our answer to that.”

Growtheon offers an all-in-one platform that includes CRM, automation, funnels, websites, email and SMS marketing, calendar tools, pipeline management, AI assistants, white-label capabilities, client communication and agency-focused infrastructure. The company positions its pricing around a flat, transparent model, including a $97 per month plan designed to give agencies access to the tools they need without the escalating software costs that often come with growth.

“HighLevel proved there was demand for an all-in-one agency platform,” Deleman added. “But no category stays untouchable forever. Growtheon is not here to be a clone. We are here to build the platform we wish existed before we got banned.”

The launch comes as agencies, marketers and SaaS operators are looking for more control over their tech stack, client accounts, automation systems and recurring revenue models. Growtheon is entering the market with a strong founder-led story, a direct competitor position and a mission to help agencies stop renting their future from platforms they do not control.

“What happened to us could have ended the business,” said Deleman. “Instead, it became the blueprint. We took the frustration, the pressure and the lesson from that experience, and we turned it into a platform built for agency owners who refuse to get boxed in.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Flexor Announces Integration with Snowflake to Bring AI-Ready Unstructured Data Context right into the Snowflake AI Data Cloud

By
Business Wire
-
0
Flexor Announces Integration with Snowflake to Bring AI-Ready Unstructured Data Context right into the Snowflake AI Data Cloud

Flexor Logo

Flexor’s AI Context Engine (ACE), natively integrated with the Snowflake AI Data Cloud, enables enterprises to transform unstructured data into structured, AI-ready context right inside Snowflake, powering reliable agentic AI and analytics workflows at scale.

Flexor, the unstructured AI context company, announced at Snowflake Summit 26 an integration with Snowflake, the AI Data Cloud company. Flexor’s AI Context Engine (ACE) integrates natively into the Snowflake AI Data Cloud, enabling enterprises to transform unstructured data such as emails, calls, notes, documents, support tickets and agent chats into structured, AI-ready context that powers trusted enterprise AI at scale.

Organizations are investing heavily in AI agents and applications, yet most can’t be trusted in production. The core obstacle is context: AI systems lack the organizational knowledge they need to understand the business, avoid hallucinations, and deliver consistent, trustworthy outputs. Flexor ACE solves this by unifying fragmented unstructured data, enriching it with data and business context, and delivering that context natively within the Snowflake environment where enterprise data already lives.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“Enterprise AI is stuck because AI agents don’t know the business,” said Or Zabludowski, CEO of Flexor. “By partnering with Snowflake and integrating ACE natively into the Snowflake AI Data Cloud, joint customers gain a new layer: rich organizational context derived from their own unstructured data, including emails, calls and PDFs, living securely inside Snowflake. AI agents can perform as if they have known the organization for years.”

Flexor ACE unifies to enterprise unstructured data sources across the organization and delivers AI-ready context directly into existing data stacks, including Snowflake Cortex AI:

  • Automated unification and data preparation: Normalizing, deduplicating, and standardizing unstructured inputs (from PDFs through call transcripts) for consistent AI consumption
  • Data and relationship context: Understanding connections between documents, emails, attachments, and conversations across sources
  • Business and domain understanding: Recognizing company-specific terminology, naming conventions, and organizational structures
  • Knowledge consistency across pipelines: A single, unified context layer ensures every LLM and AI agent works from the same organizational understanding, guaranteeing consistency and lowering costs.
  • Enterprise security and governance: Full AI explainability and lineage, privacy and security, providing observability and trust across pipelines.

Marketing Technology News: Idle data is as good as no data

“We’re excited to see innovations that help enterprises unify and contextualize their unstructured data reflecting the kind of innovation our customers need,” said Amy Kodl, SVP, Worldwide Alliances & Channels at Snowflake. “As organizations continue to adopt AI, strong data foundations and meaningful context remain essential for delivering reliable outcomes.”

Flexor ACE is available for use on the Snowflake AI Data Cloud. Joint customers can utilize their unstructured enterprise data sources on Snowflake through Flexor ACE without moving data outside their existing secure environment, enabling AI workflows across industries such as financial services, retail, and telecommunications.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Infometry Partners with dbt Labs to Accelerate AI-Ready Data Transformation

By
MTS Staff Writer
-
0
Infometry Partners with dbt Labs to Accelerate AI-Ready Data Transformation

Infometry and dbt Labs partner to deliver scalable analytics engineering and AI-ready data transformation solutions.

Infometry, an AI and data solutions company specializing in enterprise modernization and intelligent analytics, today announced its strategic partnership with dbt Labs, the pioneer of analytics engineering and creator of dbt™ (data build tool).

Partnering with dbt Labs strengthens our ability to deliver trusted, scalable, and AI-ready data solutions that accelerate enterprise innovation and analytics transformation.”

— Padma, Project Manager of Infometry

The partnership strengthens Infometry’s ability to help enterprises modernize legacy data ecosystems, accelerate cloud transformation initiatives, and build trusted, AI-ready data foundations using modern analytics engineering practices.

Marketing Technology News: MarTech Interview with Liat Barer, Chief Product Officer @ Odeeo

By combining Infometry’s expertise in AI solutions, data engineering, cloud modernization, and enterprise analytics with dbt Labs’ industry-leading transformation framework, organizations can improve data reliability, governance, operational efficiency, and time-to-insight.

Through this partnership, Infometry will help enterprises:
–> Modernize analytics and data transformation workflows
–> Build scalable and governed cloud data platforms
–> Enable AI-ready data architectures
–> Improve data quality, observability, and trust
–> Accelerate enterprise analytics and self-service reporting

Marketing Technology News: What Marketers Need to Know About the European Accessibility Act

As organizations continue investing in AI, modern data stacks, and cloud-native platforms, the need for reliable and well-modeled data has become critical. Infometry and dbt Labs will work together to help enterprises operationalize trusted data pipelines and accelerate business outcomes through analytics engineering best practices.

Infometry continues to expand its strategic partner ecosystem across AI, cloud, data, and analytics technologies to deliver innovative, outcome-driven enterprise solutions for global customers.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Broadvoice Launches GoEngage and AI Analyst, Bringing Voice AI and Conversational Insights to GoContact

By
Business Wire
-
0
Broadvoice Launches GoEngage and AI Analyst, Bringing Voice AI and Conversational Insights to GoContact

Logotipo original

New AI capabilities mark the next evolution of Broadvoice’s unified brand, bringing autonomous voice handling and real-time decision support to contact centers worldwide

Broadvoice, a leader in AI-powered customer experience solutions, announced GoEngage and AI Analyst, two new AI capabilities for GoContact.

GoEngage automates inbound voice interactions with a natural, human-like cadence. AI Analyst gives contact center leaders instant answers to operational questions without waiting for reports or dashboards. Together, they mark a major milestone in Broadvoice’s AI strategy and the next stage in its unified brand evolution.

“The future of customer experience isn’t just AI that answers questions—it’s AI that understands, acts, and advises,” said Broadvoice Chief Product Officer Gurdip Jande. “With GoContact AI, organizations can automate customer interactions, execute business workflows, seamlessly escalate to human experts with full context, and equip every supervisor with an AI Analyst that transforms data into decisions. That’s how we help businesses deliver exceptional customer experiences at scale.”

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

GoEngage: AI Voice Automation for Inbound Conversations

Built on speech-to-speech technology, GoEngage processes audio directly to catch tone, interruptions, and natural pauses, then responds with human-like fluidity. Callers explain what they need in their own words, and GoEngage handles the request. When conversations need a human, it passes full interaction history for a contextual handoff.

AI Analyst: Ask Your Contact Center What’s Happening

AI Analyst gives CX leaders a conversational way to explore performance in plain language and get insights based on their data.

Leaders can ask: “What caused the increase in escalations today?” or “Which queues are most at risk of missing service levels?”

Marketing Technology News: Idle data is as good as no data

Two Decades of Conversations: Now With AI

Both products extend a CX platform already serving healthcare, financial services, and growing enterprises across North America, EMEA, and Latin America. Broadvoice research has found that customers see up to a 250% return on contact center AI investments.

“Broadvoice was built on the belief that conversations matter,” said Jim Murphy, CEO of Broadvoice. “Twenty years later, that hasn’t changed. What has changed is what technology can do inside those conversations. With GoEngage and AI Analyst, we’re helping businesses use AI to answer more customer needs, understand what’s happening across their operation, and deliver experiences at scale.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Brick Marketing Introduces AI Marketing Solutions That Integrate SEO, GEO, Content, and Social Media

By
prweb
-
0
Brick Marketing Introduces AI Marketing Solutions That Integrate SEO, GEO, Content, and Social Media

Brick Marketing Introduces AI Marketing Solutions That Integrate SEO, GEO, Content, and Social Media

Brick Marketing, a Boston based digital marketing firm, announced the expansion of its AI marketing solutions designed to integrate search engine optimization, Generative Engine Optimization for AI search, content marketing, and social media into a unified approach focused on measurable business outcomes. In addition to hands on services, Brick Marketing also provides professional training and consulting to help organizations build internal knowledge and long term digital marketing capability.

Brick Marketing works with organizations to plan, implement, and optimize digital marketing programs that support growth, visibility, and lead generation. The firm’s AI marketing solutions are built to address how buyers now discover and evaluate brands through both traditional search engines and AI powered search experiences.

Rather than treating SEO, AI search, content marketing, and social media as separate efforts, Brick Marketing aligns these disciplines into a single strategy. SEO establishes a strong foundation for discoverability and relevance. GEO helps ensure brands are clearly understood and surfaced within AI generated search results. Content marketing provides education, clarity, and authority for buyers at every stage of the journey. Social media reinforces visibility and amplifies content across platforms where audiences actively engage.

Marketing Technology News: MarTech Interview with Liat Barer, Chief Product Officer @ Odeeo

“AI has accelerated changes in how people search, but it has also highlighted the need for marketing programs to work together,” said Nick Stamoulis, President of Brick Marketing. “Our approach brings strategy, execution, and education together so businesses are not managing disconnected tactics. By integrating SEO, AI search, content, and social media, we help organizations focus on outcomes that actually support business goals.”

A core element of Brick Marketing’s AI marketing solutions is the emphasis on outcomes over activity. Instead of focusing on individual channel metrics, the firm helps clients understand how digital efforts contribute to engagement, lead quality, conversion paths, and long term growth. AI is used to support research, analysis, and optimization while keeping strategy grounded in real buyer behavior and organizational objectives.

Marketing Technology News: What Marketers Need to Know About the European Accessibility Act

Content marketing plays a central role in the integrated framework. Brick Marketing develops and refines content that supports both traditional search and AI search while addressing the questions and needs of target audiences. Content strategies are informed by performance data and adjusted over time to ensure marketing resources are invested where they create the greatest impact.

SEO (https://www.brickmarketing.com/seo) and GEO (https://www.brickmarketing.com/aio-geo-search) work together within the framework to support visibility and clarity. Technical optimization, structured information, and consistent messaging help ensure content is accessible and meaningful to both search engines and AI systems. This alignment allows brands to maintain strong organic performance while expanding visibility within AI driven discovery experiences.

Social media is incorporated as a strategic extension of content and search efforts. Rather than operating independently, social channels are used to support awareness, engagement, and content distribution. This approach increases reach, reinforces brand messaging, and helps maximize the value of content investments.

In addition to delivering digital marketing services, Brick Marketing offers professional training and consulting solutions. These programs are designed for business leaders and marketing teams who want to better understand SEO, AI search, content marketing, and measurement. Training and consulting engagements help organizations strengthen internal skills, improve decision making, and align marketing efforts with business priorities.

Brick Marketing’s AI marketing solutions are applied across a wide range of industries, including technology, professional services, manufacturing, healthcare, logistics, and ecommerce. The firm works with both B2B and B2C organizations and customizes each engagement to align with specific goals, audiences, and growth objectives.

As AI continues to influence how information is discovered and consumed, Brick Marketing believes integration and education are essential. Organizations that align strategy, execution, and learning are better positioned to adapt and achieve sustainable results.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

AZ8 Launches AZ8 Theater to Showcase AI-Native Storytelling and Emerging Creators

By
PRNewswire
-
0
SEARCHEN NETWORKS® Launches Core Web Vitals Optimization Service Powered by Proprietary WordPress Framework

AZ8 announced the launch of AZ8 Theater, a content platform and story brand built for the AI era. Created to discover original voices, new worlds, unforgettable characters, and next-generation cinematic content, AZ8 Theater will spotlight AI-native shorts, pilots, creator projects, worldbuilding, and behind-the-scenes stories from a new generation of filmmakers.

The launch expands AZ8’s vision beyond AI creation tools. Through AZ8 Studio, creators can plan, generate, organize, and refine multimedia projects inside an all-in-one canvas workspace. Through AZ8 Theater, those stories can be showcased, developed, and shared with broader audiences.

“AZ8 is building more than a tool platform,” said Kevin, spokesperson for AZ8. “We are building a story brand for the AI era. AZ8 Studio gives creators one canvas to bring ideas, images, videos, audio, 3D scenes, and AI models together, while AZ8 Theater gives emerging creators and original stories a place to be discovered.”

Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio

At the center of AZ8’s creation ecosystem is its canvas-based workflow. Instead of switching between disconnected tools for text, image, video, audio, 3D scenes, and different AI models, creators can manage the production process inside one workspace. AZ8 Studio supports workflows including text to video, image to video, image generation, video generation, asset management, scene refinement, and repeatable project organization.

This all-in-one approach is designed for creators producing cinematic shorts, pilots, series concepts, and story-driven videos. By placing prompts, visual references, generated assets, character materials, audio, and scene nodes on a single canvas, AZ8 Studio helps creators move from one-off generation toward a more structured production workflow.

As part of the AZ8 Theater launch, AZ8 is highlighting a slate of AI-native works and creators that reflect the range of stories emerging from this new creative landscape. Featured projects include The Last Requiem by Invincible Star Orange Studio; Eden, directed by Yangsheng and Susy; METABOLISM by Liu Chang and FINE PICTURES; The Chair, written by Er Gou and directed by Tang Jiawen from Ningbo University—Film and Television Creation & Production Studio; KOKO’s Cosmic Adventure by Double Chin Studio; The Confirm Button by LIN QI E; and Framed by ColaJuice (Stephen Yang). Audiences can explore featured creators and projects through the AZ8 Community.

These works represent different directions in AI-assisted filmmaking, from science fiction and suspense to character-driven stories, experimental visual worlds, and cinematic short-form concepts. AZ8 Theater is designed to give such projects a dedicated space where audiences can discover not only finished works, but also the creative process behind them.

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

AZ8 believes AI video creation is moving from experimentation into production. As tools become more accessible, the next challenge is no longer simply generating a single clip, but building consistent characters, repeatable visual styles, coherent worlds, and stories that can grow over time. AZ8 Studio and AZ8 Theater are designed to support that shift together: one as the creation workspace, the other as the content destination.

“AI gives more people the ability to create, but great storytelling still depends on vision, taste, and originality,” added Kevin. “The creators featured through AZ8 Theater show what happens when new technology meets strong creative direction. Our goal is to support that combination—from the first idea on the canvas to the final story on screen.”

AZ8 plans to continue expanding AZ8 Theater with original shorts, pilots, creator features, worldbuilding projects, and making-of content. The company aims to support creators who are developing new cinematic languages with AI, while also helping audiences better understand how future stories are being made.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

MessageGears Expands Its Integration Ecosystem With Five New Data Sources and Destinations

By
Business Wire
-
0
MessageGears Expands Its Integration Ecosystem With Five New Data Sources and Destinations

MessageGears Logo

Direct connections to TikTok, Google Drive, SingleStore, Azure, and Bynder extend the marketing platform’s data-native, composable architecture – giving teams instant activation across more of the tools they already use.

MessageGears, the cross-channel marketing platform that connects directly to your data sources, announced five new integrations: Microsoft Azure, Bynder, and SingleStore as three new data sources, and TikTok and Google Drive as two new external destinations. The additions further extend MessageGears’ flexible architecture, which allows enterprise teams to activate data across any channel or tool without duplicating, moving, or re-housing it.

“Organizations shouldn’t have to choose between using the tools they love and having a unified data strategy, and our growing library of integrations is prioritized with this in mind.” –Caroline Nash, Director of Partnerships at MessageGears

The announcement reflects growing demand from marketing and data leaders for martech that seamlessly connects to their other tools, rather than forcing them to consolidate around a single vendor’s ecosystem or rigid schema.

Built for the growing demand of more flexible martech

Modular, connected architecture has become a defining competitive advantage for marketing platforms. According to the MACH Alliance, organizations with fully composable tech stacks are six times more likely to achieve clear ROI on their AI investments, and 98% are able to support AI at scale.

“MessageGears was purpose-built with a flexible, API-first foundation long before AI entered the equation,” said Caroline Nash, Director of Partnerships at MessageGears. “But the core principles of composability we’ve always believed in are now more important than ever with agentic capabilities on the rise. Organizations shouldn’t have to choose between using the tools they love and having a unified data strategy, and our growing library of integrations is prioritized with this in mind.”

Rather than pulling data into a proprietary walled garden, MessageGears works directly from a brand’s existing data sources, including native connections to popular warehouses like Snowflake, Databricks, Google BigQuery, and Amazon Redshift. The cross-channel platform connects to live customer data in-place, and campaign engagement activity is automatically written back to their central data store. This allows every marketing program to be informed by full context, not just a slice of it. And every new native integration extends that same flexible foundation.

New data sources: Connect more of your data without moving it

Microsoft Azure: MessageGears now natively supports Microsoft Azure as a data source, allowing enterprise teams running workloads on Azure to connect customer data directly to their marketing platform. With the native connection, teams can easily use their entire Azure dataset in personalized campaigns without extraction, transformation, or duplication. This expands MessageGears’ existing multi-cloud support and gives Azure-first organizations a straightforward path to activation.

SingleStore: Similarly, MessageGears’ native connection to SingleStore enables teams to query and activate all of their operational data stored in SingleStore’s high-performance database directly within their cross-channel marketing programs.

Bynder: The addition of Bynder allows marketing teams to pull creative assets directly from their digital asset management (DAM) system into MessageGears campaigns. Rather than manually downloading and re-uploading assets, teams can reference and deploy approved creative from Bynder in real time — keeping brand consistency high and production timelines short.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“These integrations are part of our continued focus on reducing the operational burden on marketers,” said Eugene Yukin, VP of Product at MessageGears. “Audience syndication should be seamless, whether teams are activating data in external platforms or internal systems. MessageGears helps customers move faster without adding complexity or manual effort.”

New destinations: Activate audiences anywhere customers engage

TikTok: While MessageGears already supported audience activation to TikTok via its LiveRamp integration, the platform now has a native connection directly to TikTok as well. Marketers can build highly targeted segments using unlimited attributes from their warehouse, then push them to TikTok Custom Audiences where campaign members can be activated within 30-60 minutes of delivery. As TikTok continues to grow as an advertising channel, this integration closes a critical gap for brands running cross-channel acquisition and retargeting programs.

Google Drive: Teams can now securely upload campaign audience files from MessageGears directly to designated Google Drive folders. The integration supports the same configurability as other file-based destinations — format, compression, and naming conventions — and authenticates through a Google service account. It’s particularly useful for organizations that need to deliver, share, or store campaign data internally without adding new infrastructure.

Marketing Technology News: Idle data is as good as no data

Part of a broader ecosystem of integrations

These five additions join an expanding library of natively supported data sources and destinations within the MessageGears platform, spanning paid media networks, cloud storage providers, analytics tools, competing ESPs, and enterprise data infrastructure. The platform’s architecture means that every connection works against live data at the source, not a cached or copied subset of it.

MessageGears proudly applies open, composable principles across every layer of its product. All five of these integrations are available now to MessageGears customers.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

The loyalty Gap – Discount and Value are not the same in the customers’ eyes.

By
Kathryn Wright
-
0
The loyalty Gap - Discount and Value are not the same in the customers’ eyes.

Consumer spending is under pressure. US tariff uncertainty, stubbornly high food and energy costs, and a geopolitical backdrop that shows no sign of slowing, are all contributing to this crisis. But fixating on what shoppers are spending misses the more urgent question: what does it now take to make them stay? That’s where loyalty comes in, and where, frankly, a lot of brands are leaving more on the table than they realise.

The numbers are encouraging on the surface. ROI for loyalty programmes has increased for the third consecutive year, with 92.7% of programme owners reporting a positive return and an average of 5.3x, which is, by any measure, a strong result. Marketers clearly believe in it too, with more than half of total marketing budgets now going into loyalty and CRM, and 59.8% say they’d shift even more spend away from short-term promotions if they could.

Antavo’s Global Customer Loyalty Report 2026, which surveyed 3,000 marketers and 10,000 consumers globally, found that only 56% of customers say loyalty programmes actually make them feel valued. And with 27% of points going unspent, that’s not just a satisfaction problem. When consumers are making more deliberate decisions about where their money goes, a programme that doesn’t land emotionally is one they’ll quietly walk away from.

This growing loyalty gap reflects a misconception of what true ‘loyalty’ looks like in 2026. While brands are leveraging perceived value with glossy campaigns and messaging, customers are basing their judgments on what is actually being offered. Against a backdrop of economic fragility, the goal for marketers is no longer to attract fleeting ‘sale-weather’ customers but to establish brand advocates by demonstrating why they are worth their investment.

Many loyalty programmes are still employing outdated points-and-spend systems, which offer delayed rewards and boast static, one-dimensional campaigns that fail to keep pace with the expectations of modern consumers. With nearly half of customers agreeing that it takes too long to earn rewards and over 40% expressing frustration over expiring points, it’s clear that these transactional models are eroding the perceived value exchange that is essential for validity and survival in today’s economy.

To bridge this gap, brands must reframe how value is defined and delivered; delayed gratification offers no incentive and, more importantly, no utility. Although sales and promotions temporarily drive traffic, with almost 70% of consumers saying that promotions influence their purchasing decisions, it’s a dangerous habit for brands to train into customers without it being part of a wider strategy to build customer lifetime value. With customers placing greater emphasis on tangible outcomes rather than hollow offerings, dynamic approaches that provide immediate, measurable, and relevant value have become the preferred avenues.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Let’s consider SKIMS, a brand founded by one of the biggest cultural influencers, which is renowned for its innovative loyalty programme. Operating exclusively from the SKIMS app, the programme positions loyalty as a gateway to the brand’s most valuable commodity: early access to limited drops. However, what sets SKIMS Rewards apart from other loyalty programmes is its simplicity and accessibility.

SKIMS’ two-tiered reward model is customer-centric and designed around the mechanics of the brand. MARBLE, the default tier for every user, requires no minimum spend to qualify – just a quick download of the SKIMS app and an email signup. This approach welcomes new SKIMS members into the community before they even make their first purchase, unlocking app-exclusive promotions, priority restock notifications, and early access to new drops/sales. By lowering the barrier for entry upon sign-up, SKIMS fosters immediate investment into the brand ecosystem by granting standard members access to perks that are typically reserved for higher tiers.

SKIMS’ ONYX tier takes this further. To reach this tier, customers must reach one of three thresholds: they can either make four separate purchases, reach a dedicated spending threshold, or complete 10 engagement actions. The third pathway is what distinguishes SKIMS from other fashion brands. The brand’s ONYX tier is not elusive nor unattainable; in fact, this level is democratised, meaning that everyone (including customers who can’t afford to spend more) can equally benefit from the membership. This engagement prompt also serves as an incubator for user-generated content, social media momentum, and product reviews, positively raising the brand’s profile and organically growing its customer base.

The retail landscape remains ever-evolving and uncertain, but one sentiment has become clear in today’s cautious economy. Loyalty is no longer an optional add-on or unique selling point. It has become the foundation of sustainable growth in a market where acquiring new customers can be unpredictable and retaining them is even more challenging. However, success in this new era will depend on how well brands can close the gap between what they offer and what customers actually experience.

Brands that understand this, those that deliver consistent, meaningful value at every interaction, will not just retain customers. They will earn their trust in a way that withstands even the most cautious of spending climates.

About Antavo

Antavo, is a leading loyalty technology platform working with household retail brands including KFC, Yeo Valley, Benefit Cosmetics, and Hyatt Hotels.

Marketing Technology News: Idle data is as good as no data

PropellerAds Launches NIKO – AI-Powered Agent That Takes Advertisers from Registration to Live Campaign in a Single Conversation

By
PRNewswire
-
0
PropellerAds Launches NIKO - AI-Powered Agent That Takes Advertisers from Registration to Live Campaign in a Single Conversation

Logo

PropellerAds, a global leading advertising platform, introduced Agent NIKO, an AI-powered conversational assistant designed to eliminate onboarding barriers for new advertisers. NIKO empowers advertisers to create and launch campaigns in natural language, making programmatic advertising accessible and straightforward.

The ad tech industry is moving toward true multi-source campaign management – and PropellerAds is setting the pace. AI is already embedded across the platform: powering optimization under the hood and generating creatives through autocreatives. Agent NIKO is its next milestone.

Marketing Technology News: MarTech Interview with Liat Barer, Chief Product Officer @ Odeeo

NIKO is the first AI agent that takes an advertiser from registration to a live campaign in a single conversation — no integrations, no configuration, no tokens to manage. Everything runs inside the platform, fully handled. Advertisers simply describe what they need and their campaigns go live. NIKO enables complete setup through a single chat: users define GEOs, select revenue types, and receive built-in bid recommendations that protect against overspending in unfamiliar markets. It supports all currencies with real-time conversion, detects language, and offers intelligent defaults while maintaining control over key parameters. At launch, NIKO supports Onclick campaigns — PropellerAds’ widest-reach ad format — with additional formats to follow.

“We built NIKO AI because the biggest barrier to performance advertising isn’t budget or strategy — it’s friction,” said Juliia Larionova, PropellerAds Head of Marketing. “From registration to a running campaign in one conversation, in your language, in your currency – that’s the standard we set for ourselves, and we’ve delivered it.”

Marketing Technology News: What Marketers Need to Know About the European Accessibility Act

NIKO AI serves PropellerAds’ entire advertiser base. Independent affiliates and media buying teams can compress campaign testing cycles, replacing multiple form submissions with a single dialogue. Agencies can delegate campaign launches to junior members, freeing senior buyers for strategic work. Direct advertisers without in-house programmatic expertise get a guided path to their first campaign — no prior platform experience required.

NIKO AI also opens PropellerAds to audiences that previously found programmatic advertising out of reach. Advertisers already running Facebook, Google, or TikTok campaigns but never found the time to navigate a new platform’s dashboard can now onboard with ease. Mobile app owners can test new acquisition channels with recommended bids, even without a dedicated marketing team. Multilingual support removes barriers across Asia and LATAM by automatically adapting to the user’s language.

Ongoing development will focus on expanding formats and features, guided by post-launch user feedback.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

BrandAxis Launches as Challenger AI Search Analytics Platform for Brands Competing in the Answer Engine Era

By
MTS Staff Writer
-
0
BrandAxis Launches as Challenger AI Search Analytics Platform for Brands Competing in the Answer Engine Era

BrandAxis

AI Search SaaS platform gives marketers an affordable way to track brand visibility, competitor rankings, sentiment and sources across ChatGPT & other LLMs.

BrandAxis an AI search analytics platform for marketers, agencies and growing businesses, announced the launch of its public platform, positioning itself as a challenger to the expensive, enterprise-first tools emerging in the AI visibility category.

Buyers are moving away from Googling and instead are asking AI like ChatGPT. Your brand / product / service / idea being recommended has massive commercial value to influence buyers decisions.”

— Felix Norton

As customers increasingly turn to AI answer engines like ChatGPT, Google AI Mode or Claude to research companies, compare products and make buying decisions, brands face a new problem: they may be recommended, misrepresented or ignored entirely without knowing it.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

For large enterprises, the emerging AI visibility category is already attracting sophisticated tools and premium pricing. But for agencies, startups, challenger brands and mid-market companies, the barrier to understanding AI visibility remains relatively high.

BrandAxis was built to change that.

The platform gives brands a practical, affordable way to monitor how they appear in AI-generated answers, how they rank against competitors, whether mentions are positive or negative, and which sources are shaping what AI systems say.
“AI search should not only be measurable for companies with enterprise budgets,” said Felix Norton, Co-founder of BrandAxis. “Every brand deserves to know how AI describes them, whether they are being recommended, and why competitors may be showing up instead. BrandAxis was built to make that level of visibility accessible.”

Marketing Technology News: Idle data is as good as no data

Unlike traditional SEO tools built around search rankings, BrandAxis is designed for the new answer engine and AI search area, where visibility depends not only on keywords, but on how LLMs like ChatGPT and Claude understand a brand’s positioning and credibility across not only their own website, but also other mediums like news articles, blogs, user generated content on Reddit and LinkedIn and even multi modal content like video on Youtube.

This is where BrandAxis provides insight for companies to understand how their brand / product / service is being represented.
Key BrandAxis features include:
— AI visibility tracking: Monitor how often a brand is mentioned across different AI model conversations like ChatGPT, AI Overviews, Perplexity, Claude and more..
— Competitor benchmarking: Compare brand visibility, rank and sentiment against competitors.
— Sentiment analysis: Understand whether AI answers describe a brand positively, neutrally or negatively.
— Source extraction: Identify the pages and citations influencing AI-generated answers.
— Prompt-level reporting: Track the questions customers are likely to ask and how brands show up in those answers.
— Country/City-level tracking: Understand how AI visibility changes by location.
— Misinformation Detection: Identify factual inaccuracies to mitigate AI hallucinations
— Actionable recommendations: Turn AI search data into a practical improvement roadmap to be implemented by your marketing team or agency.

The challenger positioning is central to BrandAxis’ launch. While much of the AI search analytics market is moving toward enterprise dashboards and high-cost contracts, BrandAxis is focused on speed, clarity and accessibility. The platform is designed for teams that need to understand AI search now, without waiting for a complex implementation or committing to enterprise software pricing. Within minutes of signing up, a company can begin to measure valuable insights.

The company was co-founded by Felix Norton, a digital agency founder with more than a decade of SEO, brand and performance marketing experience, and Freddie O’Donnell, a software engineer and successful fintech founder who led the development and solved the technical challenge of making AI visibility affordable.
The idea came from a simple client question: “Where did you hear about us?” When the answer was “ChatGPT recommended you,” Norton saw the beginning of a new acquisition channel — and a measurement gap most marketers didn’t have the tool for.
“Marketers already know how important visibility is on Google. Higher visibly and rankings directly correlate to sales and revenue,” Norton added. “But AI search changes the game. It does not just rank brands. It interprets them, compares them and recommends them, with studies showing conversion rates being x4 higher than traditional search mediums. BrandAxis helps teams understand that new layer of influence, and empowers marketing teams to leverage AI visibility and recommendations as an effective marketing channel.

BrandAxis is available now at BrandAxis.ai, with a free tier and paid plans designed to make AI visibility tracking accessible to brands and agencies of all sizes.
About BrandAxis.ai
BrandAxis.ai is an AI search analytics platform that helps brands measure, monitor and improve how they appear in AI-generated answers. The platform tracks AI visibility, rankings, sentiment, competitor mentions and source influence across major AI answer engines, helping marketers understand how AI systems describe their brand and what to do about it.
Built in Cape Town and operated by BrandAxis, the company is focused on making AI visibility tracking accessible to businesses, agencies and marketing teams competing in the new era of AI search.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Shopsense AI Launches Shoppable Intelligence Model, Setting a New Standard for Commerce AI

By
MTS Staff Writer
-
0
Immuta Launches New Agentic Data Access Capabilities on Snowflake AI Data Cloud

New model outperforms OpenAI’s CLIP and Google’s SigLIP2, delivering measurably better shopping experiences and stronger revenue outcomes for publishers

Shopsense AI announced today the Shoppable Intelligence Model (SIM), its next-generation proprietary multimodal AI powering real-time contextual commerce. Tested against the leading publicly available models, including OpenAI’s CLIP and Google’s SigLIP2, SIM delivers 25 to 50 percent higher retrieval accuracy across the benchmarks that matter most for product discovery. For publishers and their viewers, this model improvement delivers more relevant recommendations, higher audience engagement, and stronger commerce revenue, with no changes to existing integrations.

SIM raises the standard by tying intelligence directly to commerce outcomes, such as intent and conversion.”

— People Inc. Chief eCommerce Officer Tory Brangham

SIM is a proprietary in-house model built for commerce where every training decision, every dataset, and every benchmark is grounded in shopping outcomes: real products and real purchase behavior from where shopping decisions are formed – content. That specificity is what enables the model to differentiate itself from the more general-purpose industry benchmark models. On Fashion200K and FashionGen, two public fashion datasets used by the research community to track progress in retrieval AI, SIM outperforms every open-source baseline across every retrieval modality: image-to-image, image-to-text, text-to-image, and text-to-text. These are reproducible results against public benchmarks: Against OpenAI’s CLIP, SIM achieves up to 77 percent higher image-to-image retrieval accuracy and up to 74 percent higher text-to-text accuracy on fashion datasets. Against Google’s SigLIP2, SIM leads across retrieval tasks by 34 to 60 percent.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“The industry has been measuring progress in AI by how well models recognize content,” said People Inc. Chief eCommerce Officer Tory Brangham. “The real benchmark is whether they can monetize it. SIM raises that standard by tying intelligence directly to commerce outcomes, such as intent and conversion.”

What Better Retrieval Means in Practice
Product recommendations live or die on subtle visual cues (the cut of a sleeve, the texture of a fabric, the curve of a heel) and on the precise vocabulary used to describe them. A retrieval accuracy improvement of ten percentage points on a benchmark translates directly into recommendation quality improvements that drive shopper behavior changes. For every 100 customer searches, 10 additional shoppers see exactly what they were looking for as the first result. At the scale of a live publisher or retailer network, that compounds across click-through, conversion, and time-to-purchase. In Shopsense engagement data, this translates directly to a 10 percent improvement in model precision, which produces a 24.5 percent improvement in shopper click-through rate for native retailer media activations. For customers using SIM, that lift arrives automatically across every storefront and in-content commerce unit to deliver real revenue lift, with no additional effort.

Marketing Technology News: Idle data is as good as no data

SIM has been optimized across:
* Fashion and apparel: Wardrobe identification, style matching, and outfit-level product curation from editorial, broadcast, and social content
* Accessories: Bag, jewelry, eyewear, and footwear identification from images and video
* Furniture: Room-level product identification and style curation from editorial, images, and video
* Core Commerce: Cross-category product matching from editorial, product pages, and lifestyle content

“The gap between a general-purpose model and one that truly understands commerce is not incremental. It is the difference between surfacing a product a viewer might glance at and surfacing the product that inspires action,” said Bryan Quinn, President and Co-founder at Shopsense AI. “Trained relentlessly for commerce. Built to understand intent. That’s SIM.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Sentra Launches Platform to Deliver the Missing Data Readiness Layer for Enterprise AI

By
PRNewswire
-
0
Sentra Launches Platform to Deliver the Missing Data Readiness Layer for Enterprise AI

Sentra | Data Security Solutions

AI is ready, but the data it runs on is not.

Sentra, the AI data readiness platform that secures sensitive data at petabyte scale, announced the launch of the Sentra Platform for Continuous AI Data Readiness and Governance. The platform addresses a critical gap in enterprise AI adoption as organizations invest heavily in AI infrastructure and governance, while many still lack a continuous understanding of the data feeding those systems.

Enterprises are having an uncomfortable moment with AI. In the rush to deploy, many skipped over the data readiness layer, and are now left with an uneasy feeling about the data foundation AI is running on. Is it up-to-date and accurate? Are we confident sensitive data won’t be leaked? CISOs today are focused on answering one key  question: Do we know where all our sensitive data is, and who or what agents can access it? Enterprises funded the infrastructure layer first, including models, pipelines, GPUs and deployment. Many have also built governance programs to define policies, guardrails and responsible AI practices. But without a data readiness layer, both operate on incomplete information. Security, compliance and AI teams still struggle to answer basic questions about what sensitive data exists, where it lives, how it is classified, who can access it and whether AI systems should be allowed to use it.

Marketing Technology News: MarTech Interview with Stephen Howard-Sarin, MD of Retail Media, Americas @ Criteo

That gap is becoming more urgent as organizations move from AI assistants to agents. Copilots typically depend on a person asking a question and reviewing the output. Agents can move through data, call APIs and act on inherited permissions without a human reviewing each step. If those agents encounter stale data, overshared files or unclassified sensitive records, that exposure is no longer buried in a repository. It becomes part of the workflow.

Sentra addresses the enterprise AI data readiness gap by giving security and governance teams a continuous view of sensitive data, identity relationships, and AI access paths. The platform discovers and classifies sensitive data across the enterprise data estate, maps who and what can access that data and provides the context needed to enforce controls across existing security workflows.

“AI adoption has exposed a data readiness gap inside the enterprise,” said Yair Cohen, co-founder and VP Product at Sentra. “Organizations have invested in AI infrastructure and governance frameworks, but many still lack a current understanding of what sensitive data AI can reach. Sentra provides this missing data readiness layer and gives teams the foundation they need to govern AI data access, reduce exposure and keep pace as agentic AI expands.”

Why AI Data Readiness Has Become a Required Layer

AI assistants and agentic AI are changing how organizations need to think about data security. A file that once sat forgotten in a shared drive, a table with stale permissions or a service account with broad access can become active exposure once AI is connected to those environments.

The Sentra Platform helps organizations address four common AI data risks:

  1. Limited visibility into AI-accessible data. Sentra continuously discovers and classifies sensitive data across cloud storage, SaaS platforms, data warehouses, collaboration tools and AI environments so teams can understand what regulated and proprietary information AI systems can reach.
  2. Data sprawl and redundant sensitive data. Sentra identifies redundant, obsolete and unnecessary sensitive data that increases exposure and operating costs as AI systems consume more enterprise information.
  3. Over-permissioned users, service accounts and AI identities. Sentra maps sensitive data to the users, groups, service accounts and AI identities that can access it, helping teams enforce least privilege based on data sensitivity and business context.
  4. Ungoverned data entering AI workflows. Sentra provides classification and policy signals that help existing DLP, IAM, AI gateway and cloud-native controls prevent sensitive data from being used in copilots, RAG pipelines, knowledge bases or automated workflows without proper governance.

Marketing Technology News: From MarTech Stack to MarTech Fabric: Weaving Brand, Content, and Conversion Into One Thread

Platform Capabilities
The Sentra Platform for Continuous AI Data Readiness and Governance delivers five core capabilities to help organizations safely adopt AI: complete visibility through a classified inventory of sensitive data across cloud, SaaS, collaboration, data warehouse, and AI environments — including AWS Bedrock, Azure OpenAI, Google Vertex AI, Snowflake Cortex, Microsoft 365 Copilot, and more; data hygiene to identify and eliminate unnecessary or overexposed information that inflates AI risk and costs; identity and access governance that maps sensitive data to the human identities, service principals, and AI agents that can reach it; automated remediation that triggers enforcement through existing DLP, IAM, and AI gateway controls; and continuous AI compliance with audit-ready evidence supporting GDPR, HIPAA, CCPA, and the EU AI Act.

Data Security that Stays Inside the Customer Environment
Sentra operates entirely within the customer’s environment using an agentless architecture, ensuring sensitive data is never copied out for processing; only enriched metadata such as classification results, risk findings, and access relationships is shared with the Sentra platform. This approach supports data residency, privacy, and compliance requirements while maintaining continuous visibility across large-scale environments, enabling security teams to keep governance current as new AI systems, data stores, and workflows are introduced.

The Sentra Platform for Continuous AI Data Readiness and Governance is available immediately across AWS, Azure and GCP environments.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Selltonomy Launches AI Buyability Platform for Ecommerce Merchants

By
MTS Staff Writer
-
0
Selltonomy Launches AI Buyability Platform for Ecommerce Merchants

New platform helps merchants determine whether AI agents can successfully complete purchases on their storefronts.

As autonomous AI agents from ChatGPT, Google Gemini, Perplexity, and Microsoft Copilot increasingly influence purchasing behavior, merchants face a new technical challenge: ensuring their storefronts are interpretable not only by humans, but also by machines.

Commerce is shifting from human browsing to machine-assisted purchasing. AI agents don’t just recommend products anymore. They attempt to complete transactions. Selltonomy was built to close that gap.”

— Isang Inokon, Founder, Selltonomy

Being discoverable by AI is not the same as being buyable by AI.

While many emerging AI optimization tools focus on Answer Engine Optimization (AEO) and AI visibility, Selltonomy focuses on a different problem: whether AI systems can successfully execute purchases once they reach a storefront.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

The platform audits storefront infrastructure across four protocol layers:

Schema markup integrity
Variant structures
Price interpretation
Checkout protocols

Selltonomy identifies hidden technical issues that can interfere with AI-assisted purchases, including structured data inconsistencies, conflicting pricing signals, ambiguous inventory states, and checkout friction. The company refers to these machine-level transaction issues as “Silent Failures,” defined as purchase attempts that fail before traditional analytics or abandoned-cart systems ever detect them.

Marketing Technology News: Idle data is as good as no data

According to Shopify’s own Q1 2026 data, AI-referred shoppers convert at nearly 50 percent higher rates than organic search visitors and carry 14 percent higher average order values. AI-attributed orders on Shopify grew nearly 13 times year-over-year in the same period. Yet most merchants have no visibility into whether their stores can capture any of this demand.

“AI agents will be a big part of how we shop in the not-so-distant future.” — Sundar Pichai, CEO, Google

“We’re making every Shopify store agent-ready by default. Shopify is the easiest solution for merchants who want AI agents to find their storefronts, understand their products, and complete transactions.” — Tobi Lutke, CEO, Shopify

“If product data isn’t structured for machines, it won’t surface where shopping now begins, and that means lost revenue before a buyer ever reaches your site.” — Jorrit Steinz, CEO, ChannelEngine

Selltonomy addresses the gap between storefront visibility and storefront buyability. First movers who close that gap now will capture AI-driven revenue their competitors don’t even know they’re losing.

“Commerce is shifting from human browsing to machine-assisted purchasing. AI agents don’t just recommend products anymore. They attempt to complete transactions. Merchants who aren’t prepared will lose sales they never knew were possible. Selltonomy was built to close that gap.” — Isang Inokon, Founder, Selltonomy

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Ampersand Partners with Fandango and Kochava to Deliver Closed-Loop TV-to-Ticket Sales Solution for Theatrical Marketing

By
PRNewswire
-
0
Ampersand Partners with Fandango and Kochava to Deliver Closed-Loop TV-to-Ticket Sales Solution for Theatrical Marketing

Contact Ampersand | TV Advertising Experts in NYC, Dallas, LA, DC — Ampersand

Studios can now plan, activate, and measure TV campaigns directly against verified ticket sales

Ampersand, the audience-first TV advertising sales and technology company, announced a new partnership with Fandango, the leading movie discovery and ticketing platform, and Kochava, the trusted attribution and measurement leader. This collaboration delivers a full-funnel, cross-screen theatrical advertising solution that combines precision audience creation, privacy-focused activation, and holistic attribution to connect TV exposure directly to ticket sales.

Despite massive investments in video, studios still struggle to connect media exposure to ticket sales. Most solutions rely on modeled audiences and proxy key performance indicators (KPIs), leaving marketers without clear visibility into what drives box office results. The new Ampersand-Fandango-Kochava solution directly addresses this challenge, enabling studios to reach high-intent audiences and prove performance from TV exposure to verified ticket purchase.

“Movie marketing has not had this level of data-driven clarity,” said Rachel Herbstman, VP of Data Innovation at Ampersand. “By unifying scale, intent, and attribution, studios can reach the right moviegoers, measure true performance, and maximize box office impact with confidence.”

Marketing Technology News: Martech Interview with Meena Ganesh, Senior Product Marketing Manager @ Box AI

Built on unmatched scale and premium inventory and fueled by aggregated data and with a commitment to protecting personal information, Ampersand’s addressable footprint reaches 62 million households across more than 165 brand-safe networks enabled through their owners Comcast, Charter and Cox, and partners Altice and Verizon. By combining Ampersand’s footprint with Fandango’s reach across 72% of moviegoers and up to 50% of U.S. box office transactions, studios can now activate against verified, high-intent audiences with unprecedented precision.

“Kochava is proud to help power a new standard for theatrical marketing measurement,” said Seth Samuels, GM of Foundry Services at Kochava. “By connecting deterministic TV exposure to verified ticket sales in a privacy-safe way, this collaboration gives studios something they’ve long needed: clear, actionable insight into how premium television drives real box office outcomes. It’s a major step forward in bringing true closed-loop accountability to TV advertising.”

This is a new solution in the market that connects deterministic TV exposure directly to verified ticket purchases, bringing true closed-loop measurement to theatrical marketing. It provides studios with a turnkey solution that scales across release calendars, genres, and marketing needs while streamlining audience creation, activation, exposure tracking, and attribution reporting.

“For years, studios have had to piece together targeting, scale, and measurement across disconnected platforms,” said Anton Fedorov, VP of Enterprise Business Development at Ampersand. “This changes that. We’re bringing everything together, deterministic audiences, premium TV scale, and real box office outcomes, in a way the industry hasn’t seen before.”

Marketing Technology News: Feature-Rich to Functionally Effective: Adjusting your Martech Strategy

The partnership provides studios with:

  • Deterministic audience creation: Leverage Fandango’s SmartScore and custom micro-segmentation to reach high-propensity moviegoers
  • Closed-loop attribution: Match TV exposure insights to Fandango engagement and verified ticket purchases
  • Full-funnel optimization: Gain actionable insights to refine media investment and maximize box office impact
  • Privacy-focused activation at scale: Execute across premium TV with identity-accurate targeting and minimal waste

This partnership represents a fundamental shift in how theatrical campaigns are planned, executed, and measured, bringing the accountability and precision of performance marketing to the scale of premium television.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Stensul Launches MCP Server to Help Enterprise Marketers Ship AI-Generated Campaigns Safely

By
Business Wire
-
0
Stensul Launches MCP Server to Help Enterprise Marketers Ship AI-Generated Campaigns Safely

Stensul logo black

Early Access Program brings enterprise marketing controls to AI-assisted campaign creation, beginning with email workflows

Stensul, the Governed Creation™ Platform, announced the Stensul MCP Server Early Access Program, giving enterprise marketing organizations a way to connect AI tools and agents to the controls required to turn AI-generated content into campaigns that are on-brand, compliant, approved, accessible, and ready to ship.

Enterprises are spending heavily on AI. But for many marketing organizations, that investment is not yet translating into more campaigns, faster launches, or more work reaching the market.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“AI is changing the creation problem into a shipping problem,” said Manlio Carrelli, CEO of Stensul. “The work only matters if it can actually go live. The question for CMOs is how their organizations can ship with AI without creating brand risk, compliance risk, quality problems, or operational chaos. That is especially true in email, where large enterprises send high-volume, high-stakes communications to millions of customers. Stensul helps those teams move faster while preserving the controls they need. With Stensul MCP, we bring those controls to more places where AI-assisted creation is happening, so marketers can use AI to create more campaigns without losing control of what reaches the customer.”

Industry analysts see the launch as a signal of where enterprise AI integration is headed. “MCP has become a key standard for AI integration across martech. What’s exciting is that it’s moving beyond raw data access into higher-level marketing services and intelligence — the workflows, guardrails, approvals, and governance that determine whether AI-generated content can actually be shipped,” said Scott Brinker, analyst at chiefmartec. “Stensul’s MCP Server points to where enterprise martech is headed: AI agents operating not outside the system of control, but inside it.”

Marketing Technology News: Idle data is as good as no data

Stensul MCP is built on the Model Context Protocol, an open standard that enables AI tools and agents to connect with external systems. The significance for enterprise marketers is that AI-assisted creation can now happen inside the controls required to ship enterprise campaigns, rather than outside them. Through the Early Access Program, customers can begin connecting supported AI tools and agents to Stensul, allowing AI-created email to move through approved templates, brand rules, compliance checks, accessibility requirements, workflows, and approvals.

The launch builds on Stensul’s capabilities to support enterprise marketing teams wherever campaign creation happens. Stensul enables Governed Creation™ for email and landing pages, supports customer-approved LLMs inside Stensul, connects design work through the Stensul Figma plugin, integrates with workflow and email service providers, and makes Stensul templates available inside tools such as Adobe GenStudio for Performance Marketing. Stensul MCP extends that strategy to AI-assisted creation outside the Stensul interface.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Marketing Architects Expands Relationship with Nielsen to Include Integration of Media Data Engine on a National Level

By
Business Wire
-
0
Marketing Architects Expands Relationship with Nielsen to Include Integration of Media Data Engine on a National Level

Marketing Architects Logo

The TV agency was one of the earliest adopters of Nielsen’s local TV measurement solution. Now, it’s adding national, giving clients who use its media platform, Annika®, the insights they need to buy better across every market.

Nielsen, a global leader in audience measurement, data and media intelligence, and Marketing Architects, a television advertising services company, announced a newly expanded partnership.

Nielsen and Marketing Architects are addressing a need for faster viewership data, letting advertisers plan campaigns with greater speed, depth and precision.

Effective immediately, Marketing Architects will now utilize Nielsen for national TV measurement.

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Prior to this, Marketing Architects was one of the earliest adopters of Nielsen’s local TV measurement solution. Marketing Architects tapped Nielsen’s Media Data Engine to help drive innovation, growth and results for marketers at the local TV advertising level. (MDE is a Nielsen local TV measurement solution that delivers greater speed, consistency and predictive capabilities to broadcast ad campaigns.)

The two companies are addressing a major industry need for faster collection and analysis of viewership data. Doing so allows advertisers and agencies to plan and buy their campaigns with greater speed, depth and precision.

Marketing Technology News: Idle data is as good as no data

This newly expanded integration delivers on that need by pairing Nielsen’s MDE with Annika®, Marketing Architects’ proprietary media-buying platform on a national level. (The latter’s key differentiators include the ability to access real-time viewership inputs and then to analyze the data with speed and scale.)

Working with Nielsen’s MDE provides Marketing Architects’ clients with speed and 100% market coverage. Now, Marketing Architects’ clients will receive a layer of audience depth for national linear buys, as well as stronger inputs for forecasting viewership around high-profile broadcast events and informing premium inventory strategy.

Nielsen’s MDE delivers ratings and viewership data consistently across all 208 DMAs, within days after an airing.

“The TV industry has been working around a data lag for a long time,” says Christi Uban, Sr. Director of Media Investment, Marketing Architects. “We were one of the first to utilize Nielsen’s MDE on a local level and, fueled by the success we’ve seen with Annika, we’re now expanding it to a national level to provide clients with the insights they need to help them grow their businesses.”

“We’re excited to be teaming up with Marketing Architects and look forward to helping to drive innovation and momentum for their clients on a national TV measurement basis,” said Ryan Williams, SVP, Sales Director, Nielsen. “The rise and popularity of categories such as live sports is driving increased eyeballs to this sector and we’re looking forward to helping Marketing Architects and its clients unlock new opportunities to reach and engage with consumers in this space.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Bloomreach Brings AI Agent to General Availability to Solve One of Marketing’s Most Expensive Problems: Keeping Customers

By
Business Wire
-
0
Bloomreach Brings AI Agent to General Availability to Solve One of Marketing's Most Expensive Problems: Keeping Customers

Bloomreach

Bloomreach, the AI company for personalization, announced the general availability of its Loomi marketing agent, which converts a single prompt into a fully built campaign workflow. Built on the Loomi agentic personalization platform, which combines data-driven intelligence and powerful AI models, the marketing agent understands customers, not just segments, delivering the kind of personalized engagement that earns loyalty beyond the first click.

“Acquisition is the biggest line item in most marketing budgets. But winning a customer and keeping one are completely different problems,” said Anirban Bardalaye, Chief Product Officer at Bloomreach.

“Acquisition is the biggest line item in most marketing budgets. But winning a customer and keeping one are completely different problems,” said Anirban Bardalaye, Chief Product Officer at Bloomreach. “You earn loyalty by delivering value that’s genuinely relevant to each customer, by giving them a reason to come back. Our agent makes that possible at scale for marketing teams — personalization not as a buzzword, but as an operational reality across the entire customer journey.”

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

Loomi marketing agent enables autonomous campaign creation and optimization, using real customer data to personalize each campaign at the individual level. With powerful speed and scale, it builds entire campaigns — not just briefs — while giving marketers guardrails and control. The marketing agent has already driven measurable results for innovative brands like 260 Sample Sale, which achieved a 2.4x higher conversion rate while reducing the volume of customers targeted by 82% for a “last chance” campaign.

“Loomi marketing agent transformed how our team engages with our customers,” said Laura DiGiovanna, Head of Marketing, 260 Sample Sale. “It created segments and personalized campaigns better than a human could have. Not only that, but it helped us find the customers with the highest potential to buy. It’s a combination of personalization and efficiency that has a big impact on results.”

Marketing Technology News: Idle data is as good as no data

Key Capabilities:

  • Conversational Campaign Building: Marketers tell the agent what they want to achieve; the agent builds the campaign in minutes (versus hours or days usually required with legacy vendors).
  • AI Segmentation and Targeting: Loomi combines its knowledge of marketing use cases and a brand’s customer data to build the best fitting audience for the campaign.
  • Content Creation and Personalization: The agent generates campaign content using brand voice, customer data, and intent signals, so every email or message reads as if it were built for the person receiving it, not the segment they sit in.
  • Journey Orchestration and AI Timing: Behavior-triggered automations are powered by real-time signals, with AI determining the optimal message and moments to reach each individual.
  • Built-In Guardrails and Security: Every campaign remains reviewable and adjustable. Teams stay in control while agents handle the heavy lifting, backed by enterprise-ready privacy and security features including audit trails, GDPR compliance, and granular access roles.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Zoom Launches ZoomMate: the first AI Teammate Built to Turn Conversations into Completed Work

By
Globe Newswire
-
0
SEARCHEN NETWORKS® Launches Core Web Vitals Optimization Service Powered by Proprietary WordPress Framework

logo

  • Generally available today, ZoomMate combines agentic search, AI-generated presentations and deliverables, and automated execution in Salesforce, Jira, Slack, ServiceNow, and more

Zoom Communications, Inc. (NASDAQ: ZM) announced the launch of ZoomMate, an agentic AI work surface to help people move from workplace conversations to execution without losing context along the way. Built on Zoom’s system of action vision announced in March, ZoomMate connects live conversational context to agentic search, workflow execution, custom agents, and AI content creation.

ZoomMate helps users overcome the friction introduced by fragmented tools and incomplete workflows by surfacing information across Zoom and connected business systems, creating deliverables from meeting and enterprise context, and coordinating follow-through across workflows without switching tools. This shift reflects Zoom’s long-term vision for a system of action that moves conversations into completed work.

“What drew me to Zoom was a simple truth: no other company sits where Zoom sits — at the center of every conversation where work decisions get made,” said Russell Dicker, chief product officer at Zoom. “ZoomMate is built on this insight. Before, during, and after the meeting, ZoomMate connects what was decided to what needs to happen next across every system where your work lives.”

Marketing Technology News: MarTech Interview with Theresa Pham, Head of Product @ Wayvia

“The market is moving away from isolated AI helpers and toward tools that can better connect decisions, data, and workflows across an organization,” said Melody Brue, vice president and principal analyst at Moor Insights & Strategy. “Many AI offerings operate on the edges of work, with limited access to the real-time context affecting decisions. ZoomMate approaches this differently because it sits inside the conversations where those decisions unfold. This can give it live business context and help make its recommendations more grounded in the work that teams are actually doing.”

Marketing Technology News: Idle data is as good as no data

ZoomMate capabilities: Search, orchestrate, and complete

ZoomMate introduces advanced agentic AI capabilities that help teams move from insight to completion.

Agentic Search: Bring enterprise knowledge into every conversation

  • ZoomMate helps users search across Zoom, the web, and third-party systems to find the most relevant information for a project, account, ticket, policy, or business question.
  • By connecting to data sources such as ServiceNow, Salesforce, and Workday, and indexing across users’ integrated enterprise systems, ZoomMate can surface information from enterprise files, including customer records, open issues, service tickets, knowledge articles, project updates, files, and other business content.
  • Relevant context from Zoom Meetings, Phone, Chat, and other connected collaboration platforms — including Google and Microsoft — can be directly integrated into the flow of work, so users always have what they need without switching tools or breaking focus.
  • Results are grounded in the organization’s connected knowledge and designed to respect enterprise access controls, permissions, and governance.
  • Unlike enterprise search tools that index documents alone, ZoomMate connects the files, the records, and the conversations behind them.

Orchestrate: Coordinate follow-through across teams, apps, and systems

  • ZoomMate’s agentic layer enables proactive coordination and execution across systems, combining AI workflows with intelligent agents that can act, learn, and adapt within enterprise environments.
  • Agents can monitor ongoing projects, identify next steps from meeting context, and automatically initiate follow-up actions, ensuring continuity from conversation to completion.
  • Coordinates real-time task execution across meetings, apps, and systems to turn recurring processes into repeatable workflows.
  • Schedules events in Google Calendar or Microsoft Outlook and routes requests to appropriate systems.
  • Updates records, creates follow-up tasks, drafts customer communications, and triggers onboarding or support workflows.
  • Reduces handoff gaps by connecting conversational context with execution.

Complete: Turn meetings and enterprise context into finished deliverables

  • ZoomMate turns meetings into finished work, automatically creating presentations, documents, spreadsheets, reports, and project plans from meeting conversations and enterprise context so teams can move from discussion to execution faster.
  • Leveraging Zoom’s AI Productivity Suite, ZoomMate can update deliverables as decisions evolve, keeping plans, documents, and other outputs current in real time without manual syncing.
  • Unlike AI tools that solely rely on prompts or manual context, ZoomMate understands what was discussed to generate grounded, relevant outputs directly from meeting context, delivering content in the form of presentations, documents, and spreadsheets.

How teams can use ZoomMate

ZoomMate integrates into existing team workflows to provide real-time assistance and continuity from the first meeting to the final deliverable. By connecting conversational context with enterprise data, teams can automate repetitive administrative tasks and focus on high-value execution.

  • Knowledge workers: Users can ask ZoomMate to pull key information from Google Docs, open Jira issues, and surface recent Slack discussions before a meeting starts. Then, they could ask ZoomMate to manage and schedule events in Google Calendar or Outlook without having to hunt down each person’s availability. And finally, ZoomMate can help users track down specific information across various documents and data sources, such as Google Drive and SharePoint, for project updates, while using the conversation as the source of truth.
  • Sales teams: ZoomMate can retrieve account details from Salesforce before a call, update opportunity records immediately after, and draft follow-up proposals using the meeting transcript, without the rep switching applications.
  • Product and engineering teams: ZoomMate can pull project background from Google Docs, identify open Jira issues, surface relevant discussions from collaboration tools, and turn action items into structured plans or status updates that reflect the latest decisions.
  • HR and operations teams: ZoomMate can answer general policy questions from connected knowledge bases, route employee requests to the appropriate system, and automatically trigger onboarding workflows when a new hire’s start date is confirmed.

Conversations as the orchestration layer for modern work

As AI becomes embedded across workplace software, the next challenge is not simply generating more content or summarizing more meetings — it is helping teams complete the work that conversations create. Zoom believes that conversations are the context layer for modern work because they capture decisions, intent, approvals, objections, and next steps that drive meaningful business outcomes.

ZoomMate is built around that idea. By connecting conversational context with enterprise systems and agentic execution, ZoomMate helps teams move from discussion to action without rebuilding context across disconnected tools. It reflects Zoom’s broader platform vision: a conversation-centric system of action where live collaboration becomes completed work.

ZoomMate is available today for online and direct customers in North America, starting at $20 per user per month with included AI credits. Availability for additional industry verticals and regions, including EMEA and APAC, is expected to roll out later this year.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

MMDSmart Accelerates Global Growth, Doubling Its Workforce with Double Digit CAGR

By
PRNewswire
-
0
MMDSmart Accelerates Global Growth, Doubling Its Workforce with Double Digit CAGR

MMDSmart communications platform logo

Global communications technology company expands to 300 employees across ten countries as enterprise demand for AI-powered omnichannel messaging surges

MMDSmart, a global provider of AI-powered voice and messaging solutions, announced yearly double digit CAGR, alongside doubling its global workforce to 300 employees over the past 3 years. The company attributes the expansion to accelerating demand for secure, high-performance cloud communications infrastructure across telco, financial services, gaming, travel, and eCommerce.

The growth reflects a shift in how enterprises of all sizes manage customer communications at scale. As businesses move deeper into digital channels, demand has intensified for customer communications infrastructure capable for authentication, marketing campaigns, personalization, and real-time service interactions. MMDSmart has spent nearly two decades building that infrastructure, earning the trust of global Tier-1 operators and enterprises worldwide.

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

“The communications industry is going through a fundamental shift,” said Arie Frenklakh, CEO of MMDSmart. “AI is the foundation of efficient customer communication at scale. Our AI tools are designed to enhance our clients’ business performance, not to replace people. We’ve been building toward that for years; focused on our customers’ success and ensuring our platform and teams’ AI transformation readiness. The growth we’ve seen is a result of our agility and ability to customize customer centric solutions. The bigger opportunity is still ahead.”

Over the same period, MMDSmart has doubled its engineering team developing AI-powered cloud communications products. That investment in product and engineering capacity, across offices in Israel, Kyiv, Sofia, Munich, and the UAE, is the foundation for the company’s next phase of growth. MMDSmart continues to hire across all experience levels.

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

Enterprise spending on AI-powered communications infrastructure shows no sign of slowing. MMDSmart is expanding its platform capabilities in 2026 to meet that demand, with a focus on deeper AI integration across its voice and MessageWhiz messaging products and broader coverage for enterprise clients operating across multiple markets simultaneously.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

1...567...4,457Page 6 of 4,457

About Us

MarTech Series is a leading publishing platform that provides daily updates on marketing technology news, in-depth interviews with industry leaders (such as CMOs and product heads), and expert-led insights on topics like AI/ML, analytics, and marketing automation. As part of the iTech Series network, it acts as a "Brand to Demand" partner.

Quick Links

Visit our Other Sites

Follow Us

Interested in our Customized Editorial Services? Please fill your details and we'll get in touch with you!

FILL YOUR DETAILS
Brought to you byiTechSeries LogoCopyright © 2026 MarTech Series. All Rights Reserved.Privacy Policy
To repurpose or use any of the content or material on this and our sister sites, explicit written permission needs to be sought.