Go1 Appoints Jenny Dearborn to Board as L&D Faces a Tech-Powered Makeover

Go1, the world’s go-to content aggregator for learning and development (L&D) leaders, has added heavyweight learning strategist Jenny Dearborn to its Board of Directors—a move signaling the company’s deeper push into AI-enhanced, outcomes-driven workplace learning.

Dearborn is no stranger to scaling L&D systems at the enterprise level. She previously served as Chief Learning Officer at SAP, where she oversaw global learning strategy and built programs at scale for tens of thousands of employees. She's also a best-selling author on using data to boost workforce performance—and she's bringing that knowledge straight to Go1’s table.

Why This Appointment Matters

Dearborn’s arrival comes at a pivotal moment for corporate learning. Organizations are scrambling to upskill teams in real time while integrating AI, personalized learning, and data-backed outcomes—all without overwhelming already stretched L&D departments.

“Jenny understands the real challenges L&D teams face every day,” said Chris Eigeland, CEO of Go1. “She knows what it takes to build learning programs that actually work at scale.”

Go1, which aggregates learning content into a single platform, is positioning itself as the answer to content sprawl and ineffective training tools. By bringing in Dearborn, the company signals it’s not just curating content—it’s serious about strategic enablement at the executive level.

A Veteran Who Knows the Learner—and the Numbers

“I’ve always believed that great learning happens when you combine the right content with smart data insights,” said Dearborn. “Go1 is solving real problems for L&D professionals, and I’m excited to help them reach even more organizations.”

Dearborn’s resume reads like a checklist for modern L&D leadership: CLO at SAP, Chief Talent Officer at HP Enterprise, CPO at Klaviyo, and now Chief People Strategy Officer at BTS. She's also authored three best-sellers on workforce analytics and is a proud advocate for neurodiversity, creative work, and—yes—beekeeping.

Go1's Bigger Vision

This board appointment comes as Go1 looks to expand its footprint and sharpen its value proposition amid fierce competition in the L&D tech space. The company’s AI strategy, vast content library, and compliance tools already serve over 10,000 organizations worldwide, including several Fortune 500 names.

Backed by a star-studded investor list (think Salesforce Ventures, SoftBank, and Y Combinator), Go1 has raised over $400 million to date and was named a 2023 Top Company by Y Combinator.

With Dearborn on board, Go1 isn’t just stacking its leadership team—it’s doubling down on its mission to make scalable, strategic learning the new normal.

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Amperity Lands Leader Spot in IDC’s 2025 CDP Report—And It’s Not Just Hype

Amperity, the AI-fueled customer data cloud trusted by big-name retailers, just locked in a Leader spot in the latest IDC MarketScape: Worldwide Retail Customer Data Platforms 2025 Vendor Assessment. The recognition isn’t just another badge—it reflects how far the platform has come in solving the mounting data chaos plaguing modern retail.

The Retail Data Problem—And Amperity’s Fix

Fragmented data sources. Real-time personalization demands. An AI race with no finish line. Retailers are juggling more complexity than ever before—and consumers aren’t cutting them any slack.

Enter Amperity. The platform’s strength lies in stitching together millions of customer interactions to create unified, actionable profiles—all while meeting compliance and governance demands. IDC’s research director Ornella Urso called it out directly: “Amperity’s platform is built to address these challenges head-on.”

The IDC report highlighted Amperity’s patented identity resolution, data governance, and embedded AI features like AmpAI, which make advanced capabilities accessible to both data engineers and less technical teams alike.

Why It Matters Now

Retailers from Dr. Martens and Citizen Watch to JB Hi-Fi and SPARC Group are already using Amperity to power hyper-personalized customer experiences. The platform doesn't just unify customer data—it turns it into marketing fuel that boosts loyalty, performance, and speed to market.

And with consumer expectations soaring—especially around personalization and privacy—retailers are rethinking their customer data foundations. IDC’s validation of Amperity is more than a feather in its cap; it’s a signal to the market that a more intelligent, privacy-conscious CDP is now table stakes.

Not Just Another AI Buzzword Platform

While plenty of platforms are scrambling to slap on AI labels, Amperity has been steadily building practical tools that address the everyday pain points of enterprise teams. Two recent additions illustrate this point:

• Identity Resolution Agent: Uses machine learning to match and merge customer data with high accuracy, even when signals are noisy or scattered across channels.

• Chuck Data: An AI assistant that lives inside the terminal and lets engineers query, tag, and build customer tables using plain English—no need to write SQL or wrangle pipelines manually.

In short: Amperity’s AI isn’t a gimmick. It’s a productivity engine.

Strategic Execution Meets Market Timing

“We believe being named a Leader reflects the impact we’re making in unifying customer data, activating insights, and turning data into business value,” said Tony Owens, CEO of Amperity. It’s the kind of quote you'd expect—but it rings true given the company's expanding footprint, including recent AI rollouts and a client list featuring over 400 major brands across verticals.

As the CDP landscape matures and marketers demand faster, smarter, and more integrated platforms, Amperity’s recognition by IDC positions it not just as a tech leader—but as a strategic enabler for brands trying to stay relevant in a post-cookie, AI-everything world.

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ImageKit Earns AWS Retail Competency, Tightens Its Grip on Retail Media Ops

ImageKit, the API-first media delivery and digital asset management platform, just earned AWS Retail Competency status—an achievement that validates its growing role in helping retailers deliver snappy, visually immersive digital experiences without breaking infrastructure or budgets.

The move puts ImageKit on a short list of AWS Partner Network (APN) members with proven chops in streamlining media for e-commerce and omnichannel retail, where every millisecond of load time and every pixel of polish counts.

What’s New and Why It Matters

With this new designation, ImageKit is officially recognized for its ability to help retailers:

• Accelerate time-to-market for visual content

• Cut infrastructure costs without sacrificing speed or quality

• Avoid painful media migrations by integrating directly with Amazon S3

That last part is especially notable. “Many of our customers already store their media assets in Amazon S3,” said Manu Chaudhary, co-founder and CTO of ImageKit. “With ImageKit, they can instantly transform and deliver those assets through the URL—no migration, no duplication.”

Translation: Retailers can keep their content where it is and still tap into ImageKit’s real-time transformations, adaptive video streaming, and AI-powered tools like background removal or upscaling. No messy replatforming. No wasted storage.

Behind the Curtain: What ImageKit Actually Does

ImageKit’s platform provides a one-stop shop for media management and delivery. Some of the key capabilities include:

• 50+ real-time image and video transformations, applied directly via URL

• Format and quality optimization (WebP, AVIF, etc.)

• Dynamic personalization for location or device-based rendering

• AI features like smart cropping, background removal, and image enhancement

• Developer-friendly tooling that lets teams go live in minutes, not weeks

Whether teams are pulling from an existing Amazon S3 bucket or using ImageKit’s built-in DAM, the promise is the same: speed, flexibility, and fewer hands on deck.

Real-World Impact

Retailers and DTC brands, especially those navigating multi-platform strategies, increasingly rely on solutions like ImageKit to unify the look and performance of their content. As one Curtsy engineer put it, “When we need a new image size or layout, we just tweak the URL parameters and ship.”

That kind of agility is essential as content needs continue to scale across web, mobile, email, social, and beyond.

Context: Retail’s Visual Revolution

As retail pushes further into personalization and real-time commerce, the back-end systems powering media need to catch up. Tools that once simply stored and served content now need to optimize, adapt, and deliver intelligently—often in real-time.

AWS’s Competency Program is designed to help enterprises cut through the noise and identify vendors with vertical-specific expertise. By earning the Retail Competency, ImageKit joins an elite group of tech partners enabling scalable, secure, and flexible retail experiences on the AWS cloud.

The message to retailers? Your media stack doesn’t need to be a Frankenstein of CDNs, resize scripts, and DAMs. With ImageKit, you can simplify the pipeline—without sacrificing performance.

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Conversionomics Gets a Brain Boost: Net Conversion Injects AI Into Its MarTech Arsenal

Net Conversion, the data-obsessed media agency with a knack for turning marketing chaos into clarity, just gave its proprietary platform Conversionomics a major intelligence upgrade. The company unveiled a suite of AI-powered features that aim to radically streamline insights, unify measurement across media types, and future-proof ad targeting—without relying on cookies.

For a tool that’s already served as the analytical backbone for media strategy since 2008, this isn’t just a tune-up. It’s a full system evolution.

From Data Warehouse to Media Intelligence Engine

Conversionomics was originally built as a powerful data management platform, capable of digesting information from over 80 APIs and spitting out automated reports and exports. But in today’s fragmented, cross-device, privacy-challenged landscape, that’s table stakes.

Net Conversion is positioning the new AI-enabled Conversionomics as something more: a media enablement platform, one that doesn't just process data—it thinks.

And the timing couldn’t be better. Marketers are under pressure to do more with less, connect dots across disconnected journeys, and justify spend in real-time. “We are intrigued by the evolution of the Conversionomics platform,” said Mandy Penn, VP of Marketing at Evermore Orlando. “It represents a real departure from the standard practices and transactional limitations often associated with media today.”

Three Pillars of AI-Powered Performance

The platform’s overhaul revolves around three strategic pillars:

1. Insights:
At the heart of the update is an AI Insights Agent—think of it as an always-on junior analyst—that delivers real-time alerts, performance trends, and optimization cues straight to Net Conversion’s human analysts via Google Chat, Gmail, or Google Sheets. It’s not just automation; it’s augmentation.

2. Measurement:
Conversionomics now supports platform-agnostic measurement across channels like connected TV (CTV) and streaming audio, along with automated linear probabilistic measurement—no third-party aggregator required. It’s a clear push to break free from walled gardens and give clients a full-funnel, full-picture view.

3. Activation:
As cookies crumble, Conversionomics steps up with support for secure first-party data transfers, Conversions API, and Enhanced Conversions. These features not only facilitate audience targeting and lookalike modeling, but also improve offline-to-online attribution, giving brands sharper performance clarity in a privacy-first world.

AI with Intent

This AI-driven expansion comes on the heels of Net Conversion’s acquisition of Elevate the Outcome, a performance TV agency that further cements its expertise in omnichannel measurement. According to Brett Hughes, Chief Analytics Officer, “The latest AI enhancements represent the natural evolution of a vision we started 16 years ago—to make data truly useful for driving performance.”

If that sounds ambitious, it’s because it is. But it's also increasingly essential.

While many MarTech platforms are scrambling to retrofit AI, Conversionomics seems built for this next era—one that demands speed, agility, and intelligence across the entire media lifecycle. It’s not just about plugging in ChatGPT-style insights; it’s about building a system that understands media performance like a strategist, not just a spreadsheet.

A New Tagline for a New Era

Net Conversion is rebranding Conversionomics with a sharper promise:
“More intelligent marketing, less guesswork.”

At a time when marketers are drowning in dashboards and short on decision-making time, the pitch resonates. With these upgrades, Conversionomics shifts from simply organizing data to activating it—intelligently, intuitively, and at speed.

Data Gets Personal: Alliant Acquires AnalyticsIQ to Supercharge Predictive Marketing

In a move poised to shake up the data-driven marketing landscape, Philadelphia-based private equity firm Inverness Graham has announced that its portfolio company Alliant has acquired AnalyticsIQ, a specialist in predictive analytics and behavioral data modeling. The acquisition signals a strategic bid to build one of the industry’s most sophisticated engines for people-based marketing.

If the data wars are heating up, this merger loads Alliant’s arsenal with next-gen targeting capabilities.

Why It Matters

Marketers are chasing more than just eyeballs—they’re after intent, emotion, and purchase behavior. AnalyticsIQ, known for blending cognitive psychology with machine learning, doesn’t just predict what consumers might do—it aims to answer the elusive why behind consumer actions.

Pair that with Alliant’s cooperative transaction data, and you've got a cocktail for campaigns that are not only more personalized but potentially predictive at scale.

According to Michael Morrissey, Managing Principal at Inverness Graham, “Combining Alliant’s proprietary transaction data with AnalyticsIQ’s predictive modeling and digital integrations enhances our ability to deliver high-performing, insight-driven audiences across both traditional and emerging marketing channels.”

Translation: better targeting, smarter segmentation, and fewer wasted ad dollars.

A Leadership Shift with Strategy at Its Core

With the deal, Scarlett Shipp, the current CEO of AnalyticsIQ, will take the reins of the newly combined business. Meanwhile, JoAnne Monfradi Dunn, Alliant’s founder and long-time CEO, is stepping down from daily operations but will remain on the Board, ensuring continuity and strategic oversight.

Shipp commented, “Our team has spent years building predictive data that helps brands not just understand what people do—but why they do it. Joining forces with Alliant enables us to scale that mission.”

Her words aren’t just PR polish—they hint at a future where marketing data gets a psychological upgrade. Expect deeper audience insights, more effective omnichannel campaigns, and a growing appetite for AI-enhanced data science.

What’s Next?

This acquisition also hints at a larger play: Inverness Graham and Alliant are still hungry. They’re actively looking for more deals, seeking data-centric firms that can plug into their expanding ecosystem of marketing analytics, identity resolution, and omnichannel activation.

It’s worth noting this merger comes as competition intensifies across the MarTech landscape. Giants like Adobe, Salesforce, and Oracle are continuing to consolidate data platforms, while independents fight for relevance through niche capabilities and innovation. With the Alliant–AnalyticsIQ combo, Inverness is betting on a best-of-both-worlds strategy: robust data scale plus nuanced predictive intelligence.

Terms of the deal weren’t disclosed, but with law firm Faegre Drinker and Stephens Inc. involved, the playbook here is clear—this isn’t a one-off acquisition. It’s a foundation for a smarter, stickier MarTech future.

In an industry where "omnichannel" has been the gold standard, PharmaForceIQ is flipping the script. The fast-rising player in life sciences marketing technology is betting big on something bolder—and smarter: optichannel engagement, where the focus shifts from being everywhere to being exactly where it matters.

And so far? That bet’s paying off.

From Pilot to Portfolio in 7 Months

PharmaForceIQ is currently the fastest-growing independent provider of precision customer engagement tech for the life sciences sector. Over the past year, it’s not only grown contract values multifold, but also pulled off rare feats—like expanding a pilot campaign with a major client from a single specialty brand to the entire specialty pharmaceutical portfolio in just seven months.

It helps that their client renewal rate sits at a clean 100%, which is practically unheard of in this corner of martech. But it’s the results-first strategy—data-driven, optimized in real-time—that keeps clients doubling down.

Optichannel: Smarter, Not Just More

While the term omnichannel has become marketing table stakes, optichannel is the emerging upgrade—a model where campaigns are continuously optimized to use only the most relevant channels for each target, in real time. The goal? Hyper-personalization that trims fat (and budget waste) while boosting campaign precision.

“PharmaForceIQ is transforming how the life sciences industry engages with customers by enabling rapid applications of real-world data,” said Stephen Onikoro, Chief Operating Officer. “Technology now empowers teams to leverage data in new ways, and optichannel maximizes personalization, effectiveness, and cost savings.”

Translation: Stop broadcasting. Start engaging—with actual relevance.

The Strategist Behind the Shift

At the helm of this strategic evolution is Hemal Somaiya, Chief Strategy Officer, whose approach to marketing disruption has earned serious recognition. In 2025 alone, Somaiya was named both a Women of Distinction honoree by MM+M and a 'Disrupter' in the PM360 ELITE 100—no small feat in a sector known for its regulatory complexity and glacial change cycles.

“I’m passionate about creating more meaningful value for HCPs and patients, not more noise,” said Somaiya. “PharmaForceIQ empowers commercial leaders to personalize outreach with advanced analytics, machine learning, and AI—not someday, but today.”

The life sciences space is under pressure to show ROI, reduce wasted ad spend, and—most importantly—engage prescribers and patients in ways that actually improve outcomes. Optichannel marketing helps brands move from mass repetition to micro-relevance, using data signals to make every campaign smarter and more human.

While larger legacy players are still wrestling with disconnected stacks and rigid workflows, PharmaForceIQ’s nimble, AI-first model is proving there’s a faster way to future-proof. Real-time optimization isn’t a pipe dream; it’s platform-native.

With a 100% renewal rate, rapid contract growth, and expanding client footprints, PharmaForceIQ seems positioned to challenge—and possibly leapfrog—some entrenched incumbents in the life sciences marketing tech world.

As the industry pivots toward value-based care and greater transparency, tools that actually deliver results (instead of dashboards full of lagging metrics) will define the winners.

PharmaForceIQ’s optichannel pivot might just be the wake-up call marketers didn’t know they needed.

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Horizon Media just made a heavyweight move in the media tech arms race. The largest independent media agency in the U.S.—and the world—is beefing up its AI and data muscle with a trio of seasoned tech execs, all aimed at accelerating development of its AI-native marketing platform, Blu.

This isn't about playing catch-up. It's Horizon planting a flag: the traditional agency model isn’t just outdated—it’s being dismantled in real time.

Meet the New Architects of AI-Led Media

To reshape how marketers navigate the increasingly complex media landscape, Horizon has appointed:

• Krish Kuruppath as EVP, Head of Tech

• Jeremy Flynn as EVP, Head of Product

• Allan Johnston as SVP, Head of Program Management

All three report to Domenic Venuto, Chief Product & Data Officer, and their collective brief is clear: reimagine Horizon’s tech stack for a media world driven by AI, first-party data, and high-performance marketing intelligence.

A Platform Built for Marketers, Not Just Media Buyers

At the center of this push is Blu, Horizon’s AI-native integrated marketing platform—open, extensible, and designed to simplify what’s become a tangle of martech complexity. With this leadership team in place, Horizon is turning Blu into more than a platform; it's shaping it into the nerve center of next-gen media orchestration.

President Bob Lord didn’t mince words: “The marketing landscape demands more than incremental improvements… we’re helping clients simplify their martech stack with unprecedented confidence and transparency.” Translation: The agency-client dynamic is overdue for a rewrite—and AI is holding the pen.

Who’s Who in Horizon’s AI Power Play

Krish Kuruppath, formerly of Epsilon, brings deep expertise in identity resolution, clean rooms, and machine learning at scale—experience vital to Blu’s ambitions. At Epsilon, he helped architect platforms that married big data with high-touch personalization, a combination now considered table stakes in customer engagement.

Jeremy Flynn, best known for launching Clear Channel Outdoor’s RADAR analytics platform, knows how to build product roadmaps that actually land. Under his leadership, RADAR didn’t just measure OOH campaigns—it redefined what attribution could look like in physical media.

Allan Johnston rounds out the trio with a boots-on-the-ground operations mindset, forged at DEPT, Razorfish, and tech disruptors like WeWork. His knack for scaling agile teams and delivering in high-stakes environments makes him the program manager every product org wishes it had.

Why This Move Matters

Horizon’s strategy reflects a larger shift happening across media agencies: data-driven creativity is no longer optional—it’s the battlefield. While holding companies are consolidating and reshuffling their stacks (looking at you, WPP and Publicis), independents like Horizon are building from the ground up with AI at the core.

That’s a bold bet, but one that might pay off as marketers demand simpler, smarter tools that free them from vendor sprawl. With Blu, Horizon is trying to be the one ring to rule them all—at least when it comes to media intelligence, campaign execution, and measurable outcomes.

As AI transforms what’s possible in personalization and performance marketing, the firms that invest in engineering-led leadership now will likely set the pace. Horizon’s hires signal it's not just watching this trend—it wants to define it.

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Monetate, the leading AI-driven personalization platform, has officially acquired SiteSpect, a pioneer in zero-flicker A/B testing, to deliver the industry’s first unified platform for enterprise-grade personalization, experimentation, and optimization.

This bold move positions Monetate as the only solution able to seamlessly combine client-side and server-side testing with intelligent, real-time personalization in a single, scalable, and secure platform — designed to meet the needs of today’s most complex digital organizations.

“We’re building the future of experience orchestration,” said Steve Maher, CEO of Monetate. “This is a leap forward not just for Monetate, but for the entire industry. We’re enabling brands to move from reactive optimization to proactive experience design—powered by AI, rooted in strategy, and executed at scale.”

Reinventing Experience Optimization with Agentic AI

This acquisition advances Monetate’s mission to enable hyper-personalized, context-aware experiences across the entire customer journey. The combined platform will:

• Triple engineering capacity, accelerating innovation cycles

• Deliver zero-flicker testing performance for enhanced UX

• Integrate agentic AI to drive real-time decision-making

• Offer HIPAA-ready, PCI-compliant, and GDPR-aligned deployments for regulated industries

Key Capabilities of the Unified Platform

• Real-Time Hyper-Personalization: Leverages behavioral, contextual, and historical data to deliver individualized content at every touchpoint

• Seamless Experimentation: Combines the agility of client-side with the power of server-side testing without compromising performance

• AI-Native Architecture: Designed for transparency, explainability, and compliance from the ground up

• Omnichannel Experience Delivery: Personalization across web, mobile, email, call centers, and in-store

• Enterprise-Grade Security: Built for high-stakes industries like healthcare and financial services

“This is not a retrofit — it’s a reinvention,” added Maher. “Together, we’re creating a future-proof solution to help brands not only meet customer expectations, but to anticipate and exceed them.”

Accelerating Growth and Market Impact

With Monetate growing over 30% annually, and backed by public and private investors managing over $400B in assets, the acquisition of SiteSpect amplifies its market reach and vertical depth — especially in sectors demanding advanced data protection and deployment flexibility.

The new platform will help global brands future-proof their digital experience strategy with AI-powered personalization, latency-free testing, and strategic guidance — all in a unified solution built for the next era of enterprise marketing.

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