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From Copilots to Agentic AI Engineers: The Next Generation of AI Agents

If you are a CMO, you already know the mandate that defines your success: convert every GTM investment into measurable revenue. Yet many leaders are still battling the same dilemma. There are more tools, more dashboards, and more automation than ever, but far less clarity on which actions actually move revenue forward. The reason is… Continue reading From Copilots to Agentic AI Engineers: The Next Generation of AI Agents

Context Is the New Code: Feeding AI Agents the Right GTM Memory

AI is becoming more capable, yet most GTM teams still experience the same issue. Their systems act, but they do not understand. Actions fire, but context is missing. Plays run, but they lack depth. As a result, leaders see more motion but rarely see improvement in execution quality. This gap exists because many organizations try… Continue reading Context Is the New Code: Feeding AI Agents the Right GTM Memory

Designing Playbooks Agentic AI Agents Can Actually Run

The promise of Agentic AI in GTM is obvious. Leaders want execution that moves with speed, precision, and context. Yet most teams quickly find that their carefully built sequences and workflows are unusable by autonomous systems. The playbooks were written for humans, not for AI. The result is predictable. Activity increases, outcomes stall, and the… Continue reading Designing Playbooks Agentic AI Agents Can Actually Run

Why 40% of Agentic AI Projects Will Fail and How GTM Leaders Can Avoid It

GTM leaders are excited about the promise of agentic AI, yet many are discovering the same frustration that surrounded early martech tools. More software, more data, more automation, yet less clarity about what moves revenue forward. The danger is rising quickly because many teams are deploying AI inside stacks that were never prepared for actual… Continue reading Why 40% of Agentic AI Projects Will Fail and How GTM Leaders Can Avoid It

Agentic AI, But Make It Accountable: Avoiding the AI Agent Washing Trap

Modern GTM teams are under pressure to show how every investment ties back to revenue. Yet the more tools leaders add to their stack, the harder it becomes to pinpoint what actually moved a deal forward. The market is full of products claiming to be “AI agents,” but most simply rebadge familiar automation. This creates… Continue reading Agentic AI, But Make It Accountable: Avoiding the AI Agent Washing Trap

Why GTM Stacks Break at Scale

At some point in growth, every revenue leader asks the same question. “If we have more tools, more data, and more people, why does it feel harder to grow, not easier?” Early on, a lean GTM setup feels sharp. One CRM, one automation tool, a few enrichment sources, maybe a chat widget. Then headcount rises.… Continue reading Why GTM Stacks Break at Scale

Why Outcome-Driven GTM Beats Activity-Driven GTM

Teams often measure progress by how much activity they produce — outbound volume, campaign touches, tasks completed, sequences launched. At a glance, these metrics look encouraging. Plenty of motion. Plenty of output. Plenty of dashboards trending upward. But leaders know the uncomfortable reality – Activity doesn’t guarantee outcomes. This disconnect is widening across modern GTM… Continue reading Why Outcome-Driven GTM Beats Activity-Driven GTM

From Journeys to Systems: Rethinking Campaigns in a Signal-First World

Marketing teams often talk about “running campaigns,” but most campaigns no longer run the way teams expect. Timelines stretch, interest peaks at unexpected moments, and buyers jump across channels before a launch even finishes. The calendar moves in one direction. Buyers move in another. This mismatch is growing more noticeable. Audiences browse privately. They interact… Continue reading From Journeys to Systems: Rethinking Campaigns in a Signal-First World

How Leading Teams Map Buyer Journeys to Signals, Not Stages

A familiar problem keeps surfacing in GTM reviews. Teams discuss funnel stages, lifecycle scoring, handoff points, and conversion checkpoints. Yet the problems that slow growth rarely align to these stages. Buyers do not move neatly from MQL to SQL to Opportunity. They jump across channels, pause, return, explore, ignore, and resurface at unpredictable moments. The… Continue reading How Leading Teams Map Buyer Journeys to Signals, Not Stages