The Future of MarTech

This week’s edition explores how marketing technology is evolving from rigid stacks to intelligent, interconnected systems. As AI agents and data networks take center stage, the goal is no longer to add more tools but to make every part of the ecosystem think, adapt, and act together.

‍

When the Stack Becomes a Network: Rethinking the Architecture of Martech

By Florian Delval, published on Foreign Key

For years, Martech has been visualized as a tidy, layered stack, from data to identity, activation, and analytics. But as AI agents take center stage, this architecture is giving way to dynamic, interconnected networks. Florian Delval explains how deterministic, rule-based systems are being replaced by agentic architectures that communicate across tools and teams through intent and context, rather than linear workflows. Marketing operations are evolving from stacks of applications to graphs of intelligent agents, blurring boundaries between data, decision, and execution.

Interfaces, too, are being redefined: will we work inside embedded copilots within apps or through unified conversational layers that orchestrate all agents? The answer will shape how marketers collaborate with AI in the years ahead.

In the age of agentic AI, Martech isn’t built in layers; it’s built in connections.

‍

Martech for 2026: What’s Really Changing in the Stack

Each year, Scott Brinker and Frans Riemersma (from chiefmartec) publish one of the most credible looks into what’s actually happening inside marketing technology stacks. A key theme this year: the explosion of AI agents and their growing role within and beyond the traditional stack. There are three emerging domains shaping marketing’s near future:

• Agents for Marketers – internal copilots that design, analyze, and optimize campaigns autonomously.
• Agents for Customers – AI interfaces that interact directly with buyers, from support to sales.
• Agents of Customers – buyer-side AI that researches, evaluates, and negotiates independently of brands, marking a major disruption in how influence and conversion will work.

Martech’s next phase isn’t about adding more tools; it’s about understanding how intelligent agents connect, collaborate, and reshape decision-making across the ecosystem.

Read the report here

‍

From Stacks to Networks: How RevSure’s Agents Work Together

Most Martech stacks were designed for specialization, each tool perfecting one function in a linear workflow. But in an agentic architecture, intelligence doesn’t live in silos; it flows across use cases.

That’s exactly what RevSure’s Team of Agents illustrates: a connected network of autonomous, task-oriented agents that collaborate across three execution domains:

• Marketing Optimization — Attribution, Deep Funnel Optimization, and Campaign Reallocation agents constantly exchange insights to fine-tune spend and impact.
• Pipeline Acceleration — Lead Propensity, Journey Intelligence, and Next-Best-Action agents synchronize to prioritize and advance opportunities.
• Revenue Predictability — Pipeline Generation, Readiness, and Quality agents align to forecast revenue with precision and flag gaps before they materialize.

Each agent operates independently but is context-aware, feeding outcomes back into others. The result isn’t a stack of disconnected analytics dashboards; it’s a living, learning network where every agent senses, decides, and acts, then informs the next.

‍

The Hub That Connects It All

At the center of this system lies the Agent Hub, RevSure’s orchestration layer for GTM Execution AI. The Hub ensures every task agent shares a common understanding of goals, data, and performance signals. Rather than separate tools for attribution, pipeline scoring, and forecasting, the Hub coordinates them into one coherent feedback loop, transforming fragmented marketing operations into a self-adapting GTM network.

As Martech shifts from deterministic workflows to probabilistic, context-driven agents, architectures are no longer built in layers; they’re built in connections. The power of RevSure’s approach lies not in the number of agents but in how intelligently they interconnect, continuously learning from one another to drive precision, efficiency, and foresight across the revenue engine.

‍

Field Application | What Agentic AI Really Means for GTM Teams (Beyond the Buzzword)

In our latest blog, we unpack how Agentic AI is reshaping the GTM technology stack, not as a collection of isolated tools, but as a network of autonomous, collaborative systems. These AI agents don’t just automate tasks; they interpret context, share insight, and act toward shared goals.

From spend optimization to pipeline forecasting, Agentic AI enables martech ecosystems to operate as one coordinated organism. This marks the shift from reactive automation to proactive intelligence, where each agent learns, adapts, and aligns with outcomes that drive growth.

Read Blog →

‍

Live in a Few Hours: RevSure Deep Funnel Optimization

We’re going live with “RevSure Deep Funnel Optimization: Smarter Ads, Better Pipeline.” Join Harry Hawk and Shantanu Shrivastava as they reveal how RevSure’s Deep Funnel Optimization (DFO) helps GTM teams go beyond form fills to analyze real buying behavior and drive pipeline efficiency.

You’ll discover how DFO:

• Identifies high-value prospects by tracking deep-funnel interactions.
• Scores and prioritizes leads based on firmographics, CRM activity, and funnel progression.
• Writes back lead scores and conversion events to Google, LinkedIn, and Meta for smarter ad targeting and lower CAC.

Register for the LinkedIn Live →

‍

Funnel Vision: How RevSure Pipeline Health Powers Predictable Growth

Most teams measure how much pipeline they have; RevSure helps you measure how healthy it is. Join this live Funnel Vision session with Jerry Henry and ⚡️Francisco Oller Garcia, MBA to see how Pipeline Health turns visibility into predictive intelligence for smarter, more confident growth. Learn how to assess funnel fitness, uncover true win-rate drivers, and predict closure readiness in real time.

Register Now

‍

Session Summary: Agent Swarms in Action with RevSure AI

In this session of Hard Skill Exchange Agent Swarms, Deepinder Singh Dhingra (Founder & CEO) and Tejas Kapur (Product Manager, AI Initiatives) demonstrate how RevSure’s Agentic AI Platform uses Agent Swarms to power the entire B2B GTM funnel, from anonymous visitors to post-sale expansion. They showcase how coordinated, context-aware agents leverage RevSure’s B2B GTM Data Graph to personalize outreach, accelerate pipeline, and improve predictability. Real-world results include helping a customer scale from launch to 2M+ users while reducing cost per signup.

Watch the Full Recording

‍

Upcoming Session at 6sense Breakthrough 2025: Driving Paid Media ROI at Scale

At 6sense Breakthrough ’25, Zscaler and RevSure AI tackle the question every marketer faces — not how much you spend, but which dollars truly drive revenue. Join Chethan Chandra (VP, Marketing Strategy, Analytics & Operations, Zscaler) and Deepinder Singh Dhingra (Founder & CEO, RevSure.ai) as they reveal how Zscaler uses data, AI, and deep-funnel attribution to move from cost per lead to ROI per signal.

Catch us on the Partner Stage from 1:50–2:10 PM PST on Wednesday, November 12th, for this 15-minute power session.

—-

The future of marketing tech isn’t more tools; it’s coordinated intelligence. RevSure makes that actionable across every stage of the funnel.

See you in the next issue.