AI GTMAgents That Don’t Just Analyze Your Pipeline, But Make It Perform.
Most AI GTM agents are glorified LLM wrappers that still can’t tell you what’s actually driving pipeline . HockeyStack agents train on your closed-won patterns, learn what moves deals forward, and run next-best actions across every rep and every account—without waiting for someone to pull a report.
Trusted by leading GTM teams of all sizes
Revenue agents train on your closed-won data, learn what actually drives deals forward, and run next-best actions across every rep and every account.

Unify Your GTM Data. Amplify Your Revenue Impact.
HockeyStack GTM Intelligence connects every data source across your GTM motion, turning insights into clear actions that accelerate growth.
Blueprints
Blueprints reveal the ideal actions and touchpoint mix to drive conversions for every segment based on how your GTM motion actually works.

Odin: AI Analyst
Odin gives instant insight into marketing performance and the “why” behind the numbers. Ask in plain English, see visuals, and get next-step recommendations

“Odin is like having a teammate who can instantly analyze performance and recommend what to do next. I’ve used it to refine our media mix and forecast exactly what we need to hit our goals.”
at Honeycomb

Attribution Reporting
Kick off with live, out-of-the-box dashboard templates from day one, then dive deeper with custom reporting that adapts to your campaigns, channels, and funnels. Get insights that match real business questions in minutes.

"HockeyStack is our new single source of truth for attribution."

Buyer Journeys
See every interaction in one view, from first touch to close. Understand how buyers actually move through stages, with full context and time-stamped detail.

“Before, compiling a customer journey for a board meeting or QBR took hours… now we can click on a single account and see everything.”

Account Scoring
Combine first- and third-party data with customizable, explainable scoring models built for your GTM strategy. See who’s high intent — and why.

“HockeyStack gave us scoring we trust. Sales and marketing are finally aligned, and we can make faster, more confident decisions.”

Most AI GTMAgents Are Guessing. HockeyStack Agents Learn From What Works.
Most agent products follow a familiar sequence: run each prompt against whatever context is available and produce a best-guess output. That’s not real intelligence—that’s an LLM wrapper with a lousy data foundation. CRMs store disconnected, manual records that fail to preserve the sequence and causality of what actually drives results throughout the buyer’s journey.

HockeyStack spent five years solving the data problem first, with an event-based model to capture every interaction in order, across every system in your stack, and a reasoning engine that mines every won and lost deal to identify the exact sequences, patterns, and actions that drive conversions for your specific motion.
The Data Foundation That Makes AI GTM Agents Reliable
AI GTM agents are only as good as the data they run on. While most platforms bolt AI onto existing CRM models, HockeyStack ingests every signal across your entire GTM stack—including Salesforce custom objects—and stores it as a time-ordered chain of events to preserve the exact sequence and causality of what happened and why. This is what makes the blueprint actionable, so you can put success on repeat.

Leading revenue teams use HockeyStack to outsmart the competition
See how GTM organizations turn revenue intelligence into autonomous execution while their competitors are still waiting for the next pipeline review.

Ready to see HockeyStack in action?
HockeyStack turns all of your online and offline GTM data into visual buyer journeys and dashboards, AI-powered recommendations, and the industry’s best-performing account and lead scoring.

Ready to See HockeyStack in Action?
HockeyStack turns all of your online and offline GTM data into visual buyer journeys and dashboards, AI-powered recommendations, and the industry’s best-performing account and lead scoring.






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“The big question everyone asks is how you make all this data actionable — and this actually does that. It’s not just insight anymore; it shows what to do next.”