Colle AI Launches Intelligent Content Layering for Real-Time, Multichain NFT Publishing

Colle AI, the AI-powered platform known for simplifying NFT creation, has just introduced a major upgrade to its publishing infrastructure. The new feature: a modular content layering system that gives creators real-time control over how NFTs are built, deployed, and updated—across multiple blockchains.

NFT creators can now design tokens using stackable content blocks—everything from visual traits and metadata to smart contract logic and interactive elements. Each of these layers is independently configurable, making NFT creation not just flexible, but dynamic.

The result? NFTs that adapt on the fly, publish instantly, and stay synchronized across Ethereum, Solana, Bitcoin, XRP, and BNB Chain—without breaking a sweat.

Modular Publishing, Built for Web3 Speed

At the heart of the update is real-time publishing powered by Colle AI’s smart automation engine. It tracks asset states, validates dependencies, and optimizes deployment based on network conditions. Whether you’re refreshing metadata or rolling out new interactive features, your changes go live—fast, securely, and without disrupting existing workflows.

This isn’t just about ease-of-use; it’s about unlocking creative agility for a new generation of NFT projects—think dynamic art collections, evolving PFPs, or gamified digital assets that change based on real-world triggers or community interactions.

Most NFT publishing still relies on static minting and manual updates. That might have been fine in Web3’s early days, but today’s creators need fluid, programmable publishing infrastructure—especially those deploying across multichain environments.

Colle AI’s intelligent layering system solves that by introducing:

• Real-time deployment without workflow disruption

• Selective updates to specific NFT components

• Cross-chain compatibility with major blockchain networks

• Automation-enhanced precision, optimized for scale and performance

This approach mirrors the evolution of web development, where modular front-end components and live updates have become the norm. Now, NFTs get the same treatment.

Setting a New Standard for NFT Infrastructure

With this release, Colle AI is doing more than adding features—it’s reshaping the foundation of NFT publishing. The platform's new capabilities align with a broader shift in Web3: from static assets to dynamic, living digital objects that can evolve with context, creator vision, and community engagement.

For creators, that means fewer limitations, faster iteration, and true multichain interoperability—without the tech headaches.

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Unbounce Doubles Down on AI, Launches Unified GTM Enhancements for Sales, Marketing & CX Teams

Unbounce, the go-to-market (GTM) software provider known for its no-fuss landing page builder, has unveiled a slate of new AI capabilities and integrations aimed at unifying and accelerating growth for small and midmarket businesses.

Following its acquisition of Insightly CRM in 2024, Unbounce has wasted no time fusing product roadmaps. The result: a smarter, faster, and more connected GTM platform for sales, marketing, and customer success teams.

Among the highlights of the new release:

• AI email summarization and smart replies inside the CRM

• Lead flow integration between Unbounce’s landing page builder and Insightly

• Email inbox sync for streamlined communications

• 100+ new customizable templates for high-converting landing pages

“These updates reflect the strength of our unified engineering vision,” said Steve Oriola, CEO of Unbounce. “With shared DNA and deep product synergies, we’re accelerating innovation exactly where GTM teams need it most.”

From Silos to Synergy: A Unified GTM Stack

The new capabilities represent more than incremental upgrades—they’re a strategic step toward building a truly unified GTM stack. The platform now comprises three flagship tools:

1. Unbounce – for landing page creation and conversion optimization

2. Insightly – for CRM, pipeline management, and marketing automation

3. LeadsRx – for marketing attribution and data-driven optimization

Each tool can function independently, but the real power lies in pairing them. The vision is clear: eliminate silos, automate workflows, and empower GTM teams with a single, AI-enhanced ecosystem.

And it’s not just about software. Recent research by Unbounce and Ascend2 shows that:

• Ease of use is a top reason for CRM selection (40%)

• Sales-marketing-CS alignment has the biggest revenue impact in 2025 (48%)

Oriola puts it simply:

“We’re removing the busywork so teams can focus on what drives growth—conversion, pipeline visibility, and attribution clarity.”

What’s Next? Agentic AI and Predictive Analytics

Unbounce isn’t stopping at landing pages and CRM integrations. The company teased its pending agentic AI copilot, built to assist GTM teams with intelligent suggestions, generative content, and real-time insights.

Also on the roadmap: predictive analytics tools that can forecast outcomes and recommend actions based on behavioral signals and lead scores—helping teams make better decisions before a deal’s even on the table.

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monday.com Takes Bold AI Leap with Magic, Vibe, and Sidekick to Power Work Execution

monday.com is rewriting the rules of work software. The company today announced three new AI-powered capabilities—monday magic, monday vibe, and monday sidekick—marking a pivotal shift from work management to work execution.

These new features bring monday.com closer to its goal of delivering AI for all, enabling technical and non-technical teams alike to build, automate, and execute tasks at scale—without writing a single line of code.

“We’re not just building AI—we’re rethinking how software is built and used,” said Daniel Lereya, Chief Product and Technology Officer at monday.com. “This is about moving work forward faster, with less effort, and with tools that actually adapt to you.”

Breaking Down the AI-Powered Trio

1. monday magic
Think of this as a prompt-to-platform engine. Just describe your workflow or problem in plain English, and monday magic automatically creates a full-featured board or workflow based on best practices—no setup, no guesswork. This dramatically reduces ramp-up time and democratizes solution-building across departments.

2. monday vibe
An AI-enhanced, no-code builder that enables teams to create secure, scalable internal apps—from HR onboarding tools to inventory dashboards. Designed to meet enterprise-grade security standards, monday vibe allows users to publish apps internally or to the monday.com marketplace—all without developers.

3. monday sidekick
Your personal, AI-powered teammate. Sidekick is a context-aware digital assistant that understands your role, your tasks, and your company workflows. It proactively suggests actions, automates tasks, and even completes work—like organizing contracts or booking venues—on your behalf.

Together, these tools mark a turning point in monday.com’s evolution—from flexible project management to intelligent execution that anticipates needs and acts autonomously.

A Platform That Builds Itself

This is more than feature creep. With magic and vibe, monday.com shifts from configuration to creation. Instead of users building the platform, the platform builds itself—instantly generating tailored tools and workflows from a single prompt.

It’s the kind of automation that once required engineers, consultants, and weeks of iteration—now done in seconds by AI.

For companies of all sizes, this means less complexity, fewer bottlenecks, and more output per dollar spent.

26 Million AI Actions and Counting

Since launching its AI strategy, monday.com has seen over 150% quarter-over-quarter AI adoption growth, with more than 26 million AI-powered actions executed on the platform as of Q1.

Its ~245,000 customers, the majority of whom are non-technical, are leveraging these tools across all product lines—including monday work management, monday CRM, monday dev, and monday service.

AI for the Masses—Not Just the Technically Elite

monday.com’s new capabilities aim to democratize automation and custom tool-building. Where other enterprise platforms often gatekeep powerful features behind dev resources, monday.com is putting AI-driven creation and execution directly in the hands of marketers, salespeople, support reps, and operations pros.

For SMBs, that means competing with enterprise efficiency—without hiring more people. For enterprises, it’s about scaling impact without ballooning costs.

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Market Logic’s DeepSights Platform Delivers 411% ROI, According to New Forrester Study

A newly released Total Economic Impact™ (TEI) study conducted by Forrester Consulting has quantified the tangible business value of Market Logic Software’s AI-powered insights platform, DeepSights—and the results are turning heads.

According to the study, companies using DeepSights saw a 411% return on investment (ROI) over three years, along with transformative gains in speed, cost reduction, and revenue growth. Commissioned by Market Logic, the TEI report is based on in-depth interviews with customers across industries and uses Forrester’s rigorous economic modeling methodology.

“The true business impact of applying AI and market intelligence consistently is often underestimated,” said Dirk Wolf, CEO of Market Logic. “This study validates what our clients experience every day—real, measurable performance gains driven by AI-powered insights.”

Highlights from the Forrester Report

The report outlines a series of improvements experienced by a composite organization modeled after interviewed DeepSights users:

• 411% ROI over 3 years

• 97% reduction in time to respond to insights requests

• 3% revenue growth attributed to DeepSights use

• 27% reduction in market research costs

• 50%+ faster time to insight

• 50% cost avoidance on legacy insight-related IT tools

These benefits highlight the growing strategic importance of AI-driven market intelligence—not just for speed and efficiency, but for top-line growth and competitive edge.

Redefining the Role of Market Intelligence in the Enterprise

Traditionally, market insights teams were burdened with time-consuming requests, siloed research data, and complex stakeholder needs. DeepSights flips that script.

With purpose-built generative AI capabilities, the platform allows insights professionals and decision-makers to quickly access trusted information, synthesize complex datasets, and generate strategic recommendations at scale.

Instead of waiting days for insight requests to be processed, stakeholders can now get context-aware, AI-curated answers in near real time.

This not only frees up insights teams to focus on high-value strategic work, but it also brings intelligence to the point of decision—whether that’s in product development, marketing strategy, or executive leadership planning.

A Strategic Edge in the Era of Gen AI

With customers including Unilever, Vodafone, Bayer, and Tesco, Market Logic’s platform is already helping some of the world’s most prominent brands turn intelligence into impact.

What differentiates DeepSights from generic GenAI tools is its focus on trusted data, enterprise-grade security, and insights-specific customization. While others offer broad-brush chatbots, DeepSights understands the nuance of market research, competitive intelligence, and consumer behavior—providing answers that are reliable, sourced, and decision-ready.

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Journey Management Gets a Dose of Innovation in Healthcare and Life Sciences

Customer journey management is moving from theory to practice—especially in sectors like healthcare, where complexity is high and expectations are higher. JourneyTrack, a SaaS platform built for journey orchestration, has announced a strategic partnership with customer experience consultancy McorpCX to operationalize customer journeys in a way that's both scalable and industry-specific.

Their first stop? Life sciences—a sector often bogged down by fragmented experiences for both patients and providers.

Why This Partnership Matters Now

Life sciences and healthcare organizations are navigating increasingly complex terrain: hybrid care models, personalized treatment demands, mounting regulatory requirements, and a renewed focus on patient-centricity. Yet, despite these pressures, many still struggle to operationalize CX beyond siloed initiatives.

That’s where this partnership aims to step in. JourneyTrack brings the tech: an all-in-one platform built to track, analyze, and manage customer journeys in real time. McorpCX brings the strategy: two decades of experience helping enterprises build experience-first cultures. Together, they aim to bridge the gap between knowing the customer and actually doing something about it.

“Our partnership with McorpCX is about helping organizations operationalize CX in a way that's both strategic and scalable,” said Ania Rodriguez, Founder and CEO of JourneyTrack. “We’re bridging the gap between journey vision and execution.”

A Proven Formula for Measurable Results

According to McorpCX, the platform has already helped several organizations build out business-focused journey strategies that tie directly to bottom-line metrics like retention, acquisition, and efficiency. And unlike typical consulting roadmaps that gather dust, this approach is designed to translate strategy into day-to-day CX execution.

“Journey mapping and management deliver tangible, repeatable benefits,” said Taylor Fitzpatrick, Practice Leader at McorpCX. “The value is both measurable and significant.”

First Focus: Fixing the Life Sciences Gap

Despite its mission-critical role, customer experience in life sciences is often an afterthought. The patient journey is rarely seamless. Provider engagement is patchy. And operational efficiency? Let’s just say there’s room for improvement.

That’s why the partnership’s initial focus will be on life sciences, where the stakes are high—and the impact of a well-managed journey can be transformational. From pharma to biotech to medical devices, the aim is to help these organizations not just track journeys, but act on them intelligently.

Webinar Ahead: A Masterclass for CX in Healthcare

To put insights into action, the two companies will co-host a live webinar on September 10, 2025, titled “Accelerating Patient-Centric Impact: A CX Masterclass for Life Sciences.” The session will cover practical strategies for implementing journey management frameworks tailored to healthcare environments.

For life sciences leaders still operating without a clear journey strategy, this could be the wake-up call the industry needs.

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Christmas in July Is Real—But Marketers Still Lack the Tools to Deliver

If you’re planning your holiday retail media strategy in December, you’re already late. According to the newly released Holiday Season Edition of The Creative Edge in Retail Media by TripleLift, nearly two-thirds of U.S. marketers kick off their Q4 retail media plans as early as May to July. The catch? Almost half of them still don’t have the creative tech needed to execute high-quality off-site campaigns.

That’s a staggering disconnect—and one that could spell trouble as Q4 ramps up.

With Amazon Prime Day happening this week, marketers are sitting on a goldmine of audience data and budget opportunities. But with 4 in 10 marketers admitting they struggle to predict consumer behavior during peak shopping periods, the lack of dynamic creative capabilities might undermine those early planning efforts.

“Christmas in July has evolved from cliché to actual business practice,” said Ed Dinichert, Chief Revenue Officer at TripleLift. “But creative execution is still a major gap. Brands that engage now—and smartly—will have the upper hand come Black Friday.”

Prime Time for Planning: The Holiday Timeline

TripleLift’s guide provides a strategic timeline that outlines what winning retail media looks like through the season:

• Early Phase (Sept–Oct):
  77% of marketers apply seasonal shopper segmentation. This is the sweet spot for educational content and early gift guides.

• Peak Phase (Nov):
  74% of marketers pump up budgets for Black Friday/Cyber Monday. Urgency-driven messaging and aggressive pricing win here.

• Last-Minute Phase (Dec):
  76% increase spend in December. Convenience rules: Think shipping deadlines, same-day delivery, and click-and-collect.

Each phase has distinct creative and audience challenges. But across all three, one thing remains consistent: timing and message relevance are everything.

Creative Execution: Still the Weakest Link

While marketers are investing in audience targeting and measurement, creative technology has become the overlooked engine of performance.

According to the report:

• 84% say online video drives the most engagement during Q4.

• 83% cite native ads as another strong performer.

• In contrast, display (46%) and Connected TV (26%) lag behind.

Why? Video and native formats are inherently more adaptable to storytelling, which is critical during high-emotion, gift-heavy periods like the holidays. Still, nearly half of marketers lack access to tools that enable easy, high-quality creative adaptation across channels.

Supporting tactics like A/B testing (67%), holiday-specific creative practices (74%), and production planning are helpful, but without the right tech, these efforts often hit a wall.

Targeting the Holiday Shopper: Beyond Demographics

Audience segmentation is getting smarter—finally. TripleLift found that:

• 77% target based on shopper timing (early birds vs. last-minute buyers)

• 70% distinguish between gift-givers and self-gifters

• 68% use category-specific audience data

This signals a more nuanced approach to retail media. Yet again, the full potential of this targeting can only be realized with adaptable, high-impact creative—a challenge for many.

After the Holidays: Don’t Power Down

Once the tree comes down and Q4 closes, it’s tempting to dial back. But TripleLift warns that the post-holiday period is rich with insights. Only 25% of U.S. marketers plan to decrease spend in Q1, and those that stay engaged can benefit from:

• Re-engaging holiday buyers

• Testing evergreen messaging

• Refining always-on strategies using Q4 data

Brands that treat holiday campaigns as data incubators—rather than just seasonal sprints—are better positioned for year-round growth.

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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.

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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.

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