StackAdapt’s Ivy™ Brings AI-Powered Precision to Digital Ad Campaigns

StackAdapt has just raised the bar in martech. Today, the company unveiled Ivy™, an in-platform AI assistant designed to help marketers make sharper, faster decisions throughout the campaign lifecycle—from strategy and setup to optimization and reporting.

Baked directly into the StackAdapt platform, Ivy™ puts AI at the fingertips of agencies and brands alike, turning what used to be hours of dashboard wrangling and data-diving into a simple conversation. Think of it as your always-on campaign strategist—except it never sleeps, doesn’t need coffee, and understands CPMs for CTV campaigns better than most interns.

From Clicks to Context: What Ivy™ Actually Does

Ivy™ is more than just a chatbot tacked onto an ad tech platform. It’s engineered to understand campaign context, analyze performance patterns, and offer real-time, AI-powered guidance tailored to specific verticals like B2B, retail, and travel.

Here’s how marketers are using Ivy™:

• B2B marketers surface performance data fast and build strategies for high-intent audiences.

• Retail teams optimize seasonal pushes with real-time insights.

• Travel brands uncover trending destinations and adjust targeting on the fly.

No more endless tab-hopping or deciphering platform settings—Ivy™ responds to natural language queries like: “What’s the recommended CPM for a native campaign targeting Gen Z?” or “Show me top-performing audience segments from last quarter.”

3 Reasons Ivy™ Isn’t Just Another AI Tool

StackAdapt is entering a crowded field—many ad platforms now boast AI “enhancements.” But Ivy™ separates itself in a few key ways:

1. Precision Targeting at Scale
   Ivy™ refines audience selection using interest-based and behavioral data, helping marketers either expand reach or zero in on niche segments with laser focus.

2. Faster, Frictionless Insights
   Natural language prompts surface campaign insights instantly. No more digging through dashboards or exporting spreadsheets.

3. Proactive, Always-On Support
   Ivy™ serves as a living knowledge base, guiding users through setup, optimization, and platform navigation in real time.

During its pre-launch pilot phase, Ivy™ fielded over 1,700 messages from users—everything from DOOH ad specs to CPM guidance for CTV. That real-world training has already made Ivy™ smarter and more practical than most AI add-ons.

A Strategic Bet on Agentic AI in Martech

For StackAdapt, Ivy™ isn’t just a feature—it’s a cornerstone in its larger vision to blend martech and adtech into a unified ecosystem. As marketing grows more fragmented across channels, platforms, and tools, Ivy™ aims to reintroduce clarity and cohesion—something many marketers are desperate for.

“We’ve built our platform on advanced AI, and now Ivy™ puts that power directly into the hands of our clients,” said Yang Han, Co-founder and CTO of StackAdapt. “It’s a step forward in delivering intelligent automation that’s intuitive, helpful, and built to drive business growth.”

While competitors offer isolated AI features, StackAdapt is embedding intelligence throughout the entire campaign journey, from planning and creative specs to performance optimization. The goal isn’t just automation—it’s actionable, outcome-oriented support.

Get in touch with our MarTech Experts.

Banzai Names Dean Ditto as CFO, Signaling a Strategic Push Toward Scalable Growth

Banzai International (NASDAQ: BNZI) has appointed Dean Ditto, CPA as its new Chief Financial Officer, effective July 14, 2025, marking a pivotal leadership shift as the marketing tech firm aims to scale operations and sharpen financial discipline. Ditto succeeds Alvin Yip, who will remain with the company as Chief Accounting Officer.

The announcement underscores Banzai’s ambition to accelerate its growth strategy and build investor confidence as it competes in the crowded martech landscape.

A CFO Built for Transformation

Ditto brings more than three decades of financial leadership experience across SaaS, fintech, biotech, and enterprise software firms—both public and private. His resume reads like a roadmap for companies seeking financial transformation and operational clarity.

• At Akerna Corp., he executed a corporate restructuring plan that saved $6 million annually.

• At Mydecine Innovations Group, he raised $40 million through equity offerings to fund biotech R&D.

• At Sigue Corporation, a private fintech firm, Ditto led planning and budget overhauls to improve strategic alignment.

He’s also held senior financial roles at industry giants like OSI Systems, Karl Storz Endoscopy, and Ford Motor Company, and holds advanced degrees in economics and business administration from Albion College and Indiana University’s Kelley School of Business, respectively.

“We’re privileged to have someone of Dean’s caliber step in,” said Joe Davy, Founder and CEO of Banzai. “His experience scaling public technology companies is exactly what we need at this stage of our journey.”

Why This Move Matters Now

Banzai, known for delivering marketing automation and event marketing solutions, is operating in a market that's not only rapidly evolving but fiercely competitive. Martech buyers are demanding more ROI, better integration, and clearer performance metrics. That requires both product agility and financial precision—something Ditto is expected to deliver.

His appointment signals a move beyond stabilization toward aggressive, value-focused scaling. In his own words:

“I’m excited to help Banzai evolve in a fast-moving market,” Ditto said. “The focus is on executing our financial priorities while delivering long-term value to our shareholders.”

A New Chapter for Banzai’s Financial Strategy

With Ditto onboard and Yip continuing as Chief Accounting Officer, Banzai is clearly shoring up its financial leadership. The company’s ability to raise capital, navigate public markets, and reinvest in innovation will now fall squarely under Ditto’s stewardship.

It’s a calculated bet—bringing in a CFO with both Wall Street fluency and operational rigor at a time when public martech companies are under increasing pressure to show sustainable growth and smart capital deployment.

Get in touch with our MarTech Experts.

VideoAmp Deepens AWS Integration to Redefine Privacy-First Media Measurement

As the ad industry braces for a cookie-less future and increasing data privacy regulation, VideoAmp is doubling down on clean room technology—this time by expanding its partnership with Amazon Web Services (AWS). The goal: deliver faster, privacy-enhanced media measurement capabilities directly within AWS Clean Rooms.

The integration allows advertisers and publishers to extract actionable insights across platforms—think reach, frequency, and conversions—without having to expose or transfer underlying datasets. It’s a bold step toward redefining measurement infrastructure for a privacy-first advertising world.

“Our expanded measurement offering with AWS Clean Rooms allows us to bring VideoAmp’s proprietary measurement capabilities directly to where our clients’ data already lives,” said Tony Fagan, CTO at VideoAmp. “The result is faster, more actionable insights and more efficient campaigns.”

Why This Matters Now

The fragmentation of media and deprecation of traditional identifiers have made cross-platform measurement a minefield. Marketers are demanding accurate performance metrics that don’t come at the expense of data privacy. At the same time, cloud-native infrastructure has emerged as a prerequisite for scalable, collaborative analytics.

That’s where the AWS Clean Rooms and VideoAmp pairing comes in.

AWS Clean Rooms is a fully managed analytics environment that lets companies securely analyze collective data without sharing raw information. VideoAmp brings the measurement engine—proprietary algorithms that determine reach, frequency, return on ad spend, and other core KPIs.

Together, they create a powerful solution: insight-rich campaign analysis without breaking privacy protocols.

“Increasing measurement use cases on AWS Clean Rooms signals an emerging industry trend,” said Eric Saccullo of AWS. “Advertisers and publishers can securely analyze granular datasets in collaboration with providers like VideoAmp.”

What Advertisers Get from the Integration

With this expanded collaboration, marketers can expect:

• Cross-Platform Insights: Understand audience behavior and campaign performance across digital, linear, and streaming environments.

• Secure Collaboration: Publishers and advertisers can share data insights without exposing PII or proprietary information.

• Custom Attribution & Analytics: Tailored measurement to match unique KPIs and campaign goals.

• Faster, In-Flight Optimization: Leverage insights in real time to adjust strategies mid-campaign.

In other words, you get scale, speed, and security—without compromise.

Raising the Bar for Clean Room Measurement

While many measurement firms are experimenting with clean room integrations, VideoAmp is positioning itself at the forefront by embedding its methodology directly into the AWS ecosystem. That means no more siloed data exports, delayed reports, or questionable attribution models.

This isn’t just a feature—it’s infrastructure.

The move could set a precedent in an industry that’s still scrambling to rebuild its measurement stack post-third-party cookies. With platforms like Google and Meta locked down in their own walled gardens, advertisers are increasingly turning to neutral, cloud-native ecosystems like AWS to create shared visibility.

Get in touch with our MarTech Experts.

Highspot’s Summer Launch ’25 Puts AI in the Driver’s Seat for GTM Success

In today’s high-pressure, high-stakes go-to-market (GTM) environment, speed without strategy is just noise. Highspot, the leading agentic platform for GTM performance, wants to change that. With its Summer Product Launch ‘25, the company unveiled Highspot Agents—a new AI-powered offering that combines real-time insight with targeted action to elevate sellers, marketers, and enablement teams.

Backed by Highspot Nexus™, the company's unified AI and analytics engine, these role-based and specialized agents aim to fix what’s broken and scale what works—without overwhelming users or complicating tech stacks.

“Lots of AI tools can act. But without knowing what works, they just create noise,” said Robert Wahbe, CEO of Highspot. “Our Summer Launch delivers AI as a teammate—not a replacement—to turn strategy into winning outcomes.”

The Problem with Today’s GTM Stack

The modern GTM landscape is chaotic: tighter budgets, bigger expectations, and an avalanche of disconnected tools. According to Gartner, 70% of sellers feel overwhelmed by the tech they’re expected to use, and those overwhelmed are 45% less likely to hit quota.

Highspot’s response is simple but bold: centralize intelligence, simplify workflows, and guide with precision.

Meet the Highspot Agents: AI That Knows Its Role

Highspot’s new agentic AI offering comes in two flavors, both integrated into the platform for a seamless experience:

• Role-Based Agents: Think of these as AI teammates designed for sellers, marketers, and enablement pros. They deliver context-aware answers, strategic recommendations, and actionable next steps in real time—no toggling or guesswork required.

• Specialized Agents: Focused on mission-critical tasks like deal coaching, sales play optimization, and content management, these agents run behind the scenes to ensure strategy execution stays sharp and on track.

Together, they streamline workflows and eliminate the need for fragmented point solutions, all while reducing cognitive load.

Ask Highspot + MCP: Connecting the Dots with External AI

The platform’s conversational interface, Ask Highspot, allows users to ask natural language questions and get smart, role-relevant answers instantly. Even more notably, Highspot is adding support for the MCP (Multi-Agent Collaboration Protocol)—allowing customers to plug in external AI tools securely and easily.

This positions Highspot as not just an agentic platform, but a central AI orchestration layer for GTM teams.

AI That Trains, Coaches, and Scores Performance

It’s not just about decisions—it’s about development. Highspot is also expanding its AI-powered training and coaching tools, enabling GTM teams to build skills that translate directly into revenue impact:

• Adaptive Learning: Tailors each rep’s training path by using skills and knowledge assessments to skip what they know and double down where they struggle.

• Skill Coaching: Provides instant, AI-generated feedback in the flow of work—no more waiting for a manager’s calendar to open.

• AI Role Play: Reps can practice key conversations, handle objections, and refine pitches, with automatic scoring and 360° assessments built-in.

This isn’t “learning management” bolted onto a CRM—it’s skills intelligence woven into the GTM fabric.

What’s Next: See the Platform in Action

Highspot will showcase its Summer Launch innovations during a live Roadmap Webcast on July 23 at 9am PT, giving customers a first-hand look at how agentic AI will shape the future of go-to-market performance.

The GTM community can also dive deeper at Spark ‘25, Highspot’s annual conference happening in Seattle, WA, Oct. 7–9, both in person and online.

KredosAi Brings RCS Messaging to the Masses, Reimagining Debt Engagement with AI-Powered Precision

KredosAi, the human-centric, AI-driven customer engagement platform, has officially launched Rich Communication Services (RCS) into full production—delivering a next-gen messaging experience for enterprises, starting with a major implementation at UScellular. The move positions KredosAi at the leading edge of personalized, intelligent customer communication—especially in high-stakes scenarios like past-due account outreach.

“This is about meeting customers where they are,” said Balaji Sridharan, CEO of KredosAi. “RCS lets brands build trust and drive better outcomes with messaging that feels personal, timely, and native to the device.”

With hundreds of thousands of RCS messages now sent daily across its client base, KredosAi is showing that AI and enriched messaging are no longer emerging trends—they’re production-ready tools that deliver real business impact.

Why RCS? Why Now?

RCS is often dubbed “SMS 2.0,” and for good reason. It allows for rich media, read receipts, branded content, and interactive elements—all within the default messaging app on Android and, more recently, iOS 18.

This means no more app downloads, no more generic text blasts. Instead, customers receive secure, app-like messaging experiences that feel personalized and intuitive—just as they expect from today’s digital-first services.

By integrating RCS into its AI platform, KredosAi ensures that every message is not just enhanced visually, but strategically optimized for timing, tone, and relevance. The result? More customers taking action—particularly when it matters most, like resolving past-due accounts.

A Win for UScellular and the Debt Engagement Playbook

KredosAi’s expanded RCS rollout with UScellular targets a mission-critical use case: past-due customer communications. Traditionally a friction-filled experience for both sides, debt reminders are now being reframed as trust-building opportunities through personalized, branded, and interactive messaging.

“We’re excited about the potential for RCS to transform our communication strategies,” said John Stevenson, Senior Director of Financial Services at UScellular. “This is meaningful innovation that meets customers where they are—and delivers value to the business.”

With RCS, UScellular can:

• Humanize payment reminders with rich, branded content

• Encourage response with read receipts and suggested actions

• Reduce friction through in-message resolution tools

• Track and adapt messaging strategies in real time with AI insights

Why This Signals a Broader Industry Shift

The launch comes after KredosAi’s enhanced RCS support debut at Mobile World Congress 2025, where the company signaled its intention to scale advanced messaging across industries. Now, that intention is reality.

KredosAi isn’t just upgrading communication—it’s redefining how brands interact with customers when stakes are high. And it’s not just telecom. With major clients in auto lending and financial services, the company’s AI-RCS stack is well suited for any use case where engagement, trust, and timely action intersect.

What’s Next for KredosAi?

Coming off a year of 2X growth in 2024, KredosAi is poised to double again in 2025, with its trajectory fueled by:

• Continued product innovation, including behavioral AI and contextual analytics

• Global expansion into new markets and verticals

• Strategic go-to-market execution with Tier 1 clients and partners

RCS at scale isn’t a “nice to have” anymore—it’s fast becoming the standard for enterprise messaging, especially in regulated or sensitive domains.

EngageLab Showcases Omnichannel Power at The MarTech Summit Hong Kong

EngageLab, a global leader in marketing and customer engagement technology, took the spotlight at The MarTech Summit Hong Kong, one of Asia’s premier gatherings of marketing technologists and brand leaders. With executives from global powerhouses like Nike, Yahoo, JPMorgan, and Cathay Pacific in attendance, the summit served as a nexus for innovation, digital transformation, and real-time engagement strategy.

For EngageLab, it was more than just another industry event—it was an opportunity to demonstrate how its AI-powered omnichannel solutions are transforming customer engagement across industries, devices, and moments.

“We’re honored to join The MarTech Summit Hong Kong and engage with peers who share our passion for customer-centric innovation,” said Tanya Quan, Marketing Director at EngageLab. “Our mission is to help businesses scale globally while keeping customer connections meaningful, timely, and personal.”

Enterprise Use Case: A Leading Airline Looks to Elevate the Journey

One of the summit’s most compelling conversations came from a senior executive at a leading international airline, who explored the complexities of deploying a truly omnichannel engagement strategy. Their goal? Deliver seamless communication across email, SMS, mobile apps, and WhatsApp—from booking to boarding and beyond.

What caught their attention was EngageLab’s ability to:

• Orchestrate high-concurrency messaging without latency

• Maintain enterprise-grade deliverability rates globally

• Operate under strict data privacy and compliance mandates

For airlines—and any business managing critical, time-sensitive communications—EngageLab’s performance capabilities and security posture stood out as a clear differentiator.

Showcasing What’s Next in Marketing Automation

At the summit, EngageLab demonstrated its full-stack omnichannel engagement platform, which includes:

• AppPush & WebPush

• Email & SMS

• WhatsApp Business Messaging

• One-Time Passwords (OTP)

• Advanced marketing automation workflows

These tools allow brands to create hyper-personalized, cross-channel journeys that respond dynamically to user behavior—whether it’s a cart abandonment trigger, an in-app offer, or a time-sensitive travel update.

Rising Demand for Seamless, Scalable Engagement

With rising customer expectations and shrinking attention spans, marketing teams need solutions that are as agile as they are intelligent. EngageLab’s platform is purpose-built for:

• High-volume, real-time messaging

• Behavioral segmentation and automation

• Global-scale compliance and localization

The MarTech Summit made it clear: omnichannel is no longer a luxury—it’s a baseline requirement. And EngageLab is leading the charge by delivering the tools enterprises need to make it work across borders, platforms, and industries.

Auxia’s Analyst Agent Gets Smarter—And Marketers Just Got a Lot Faster

Auxia, the first Agentic Customer Journey Orchestration Platform, is rewriting the rules of campaign analytics with a major upgrade to its Analyst Agent—a conversational AI tool that puts data science-grade insights directly into marketers' hands.

Gone are the days of waiting weeks for ad-hoc analysis or deciphering dense dashboards. Now, enterprise marketers can ask plain-language questions like “Which customer segments responded best to our upsell emails?” and get instant, visual answers with real business context.

“The future of marketing is agentic,” said Ravi Desu, Auxia’s CTO and co-founder. “Our enhanced Analyst Agent makes that future real—by letting any marketer access powerful insights transparently and in real time.”

From Weeks to Seconds: Breaking the Dashboard Bottleneck

Most marketing teams still rely on static dashboards or analyst reports to understand campaign performance. But those tools don’t scale with the speed of modern digital marketing—or the growing complexity of omnichannel journeys.

Auxia’s new Analyst Agent flips the script. With natural language querying, AI-powered pattern recognition, and direct integration with Auxia’s AI Decisioning engine, it transforms the “black box” of performance data into a clear, interactive feedback loop.

Want to know which acquisition channels drove the most high-LTV customers in Q2? Just ask.

Three Breakthroughs for Marketing Ops

The enhanced Analyst Agent delivers three core capabilities that signal a new phase of intelligent, marketer-led analytics:

1. Speed at Scale
   Replace weeks of data analyst cycles with instant feedback. Marketers can ask follow-up questions on the fly and explore results iteratively—speeding up testing, decision-making, and optimization.

2. Intelligence Without Complexity
   No SQL, no data science degrees. Marketers can dive deep into cohort performance, regional differences, or content variant success using simple language, backed by sophisticated AI logic.

3. Enterprise-Grade Security
   Built with enterprise compliance in mind, the tool connects directly to internal data systems, safeguarding customer data while enabling scale across business units, geos, and segments.

Solving the AI “Black Box” Problem

One of the biggest pain points in modern marketing is transparency. AI tools can boost performance—but why they work often remains opaque.

Auxia tackles this by giving teams clear explanations, contextual graphs, and the ability to follow up with deeper questions. It’s not just “what worked”—it’s why it worked, and how to do it better next time.

Smarter Over Time: A Living Knowledge Base

Each interaction with the Analyst Agent contributes to a growing team-specific knowledge graph. That means the system doesn’t just answer questions—it remembers them. Over time, it starts surfacing relevant insights proactively, building on past analysis and supporting smarter decisions at every stage of the journey.

In practice, this means a marketing leader could revisit last quarter’s top-performing creative across channels—or discover early indicators that a new campaign is underperforming, all without rerunning a single report.

Availability and What’s Next

The upgraded Analyst Agent is now available to select Auxia enterprise customers, with a wider rollout expected in summer 2025. Interested companies can learn more at auxia.io.

As enterprise marketers face tighter budgets, faster cycles, and increasingly fragmented data, Auxia’s Analyst Agent stands out not just for its speed—but for giving non-technical teams full control of data-driven decisions, without sacrificing clarity, trust, or scale.

DeepBrain AI Brings Generative Video to Your Pocket with New AI Studios Android App

DeepBrain AI, a leader in generative video and synthetic media, is taking its flagship product AI Studios mobile with the official launch of its Android app. Already a hit in the browser-based world—with over 3 million users, a 4.9 Product Hunt rating, and a spot on G2’s Top 50 Software Products of 2025—AI Studios now fits in your pocket, offering on-the-go video creation without a single frame of filming or editing.

The app is available now on Google Play, marking a major expansion of the platform's accessibility and signaling DeepBrain’s intent to dominate mobile AI video production. An iOS version is slated for launch in H2 2025.

“This launch is about accessibility and scale,” said a DeepBrain spokesperson. “We’re putting Hollywood-level generative video power in the hands of anyone with a smartphone.”

No Gear, No Studio, No Problem

Designed for marketers, educators, business professionals, and content creators, the mobile version of AI Studios brings core functionality from its web sibling straight to Android, including:

• Text-to-Video Generation: Input a script, choose an avatar, and get a polished video with narration—perfect for explainers, training videos, and product demos.

• Cinematic AI Rendering: Turn text prompts into cinematic-style visuals, pushing beyond static avatars to more dynamic storytelling.

• 2,000+ Avatars: From polished corporate presenters to friendly teachers, creators can select from a wide range of diverse AI avatars—or upload their own branded digital twin.

• Support for 150+ Languages: Localize content instantly with AI-generated voices that support multilingual dubbing, tone shifts, and emotion.

• 7,000+ Templates: Get started faster with layouts optimized for business, education, and commerce—ideal for social media, onboarding, and B2B messaging.

Generative AI Video, Now Truly Global

With a global-first design, the new mobile app boasts multilingual UX, cross-device compatibility, and enterprise-grade scalability. Whether you're a teacher recording weekly lessons or a startup founder pitching investors across continents, AI Studios makes scalable video creation instant, mobile, and multilingual.

This move puts DeepBrain AI ahead of the curve in the mobile generative AI race, where video-focused competitors are still largely desktop-bound. The app joins a growing suite of tools aimed at democratizing digital content creation, especially for non-technical users.