Trusted by more than 200 leading GTM teams of all sizes
“HockeyStack gave us full-funnel visibility, scoring we trust, and attribution that shows what’s actually working. Sales and marketing are finally aligned, and we can make faster, more confident decisions.” — Hollie Lemos, VP Revenue Marketing @ Firstup
“I think Odin is kind of like the analyst I wish I had on the team. I can just sit, have coffee, and really see at a 360-degree level what’s working and what’s not working. It’s been a game-changer.” — Mario Moscatiello, Head of Growth @ Airbyte
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“We consolidated three internal meetings into one comprehensive performance and collaboration meeting, thanks to HockeyStack’s unified reporting. From the CEO down, everyone was impressed — the clarity in our funnel numbers allowed us to restructure our nurture program.
“HockeyStack gave us one connected buyer journey that we could see, which gave us the ability to look at our data on multiple attribution models and to really make those types of budgeting decisions at different levels.”
“We’re doing very, very innovative things with HockeyStack… understanding the campaigns and touchpoints that accelerate deals at each stage.” Bruno Bertini, CMO @ 8x8
“Before HockeyStack, we were optimizing around the wrong goals. HockeyStack helped us align our goals to the outcomes we actually wanted to achieve, and made the impact believable by letting us drill into the exact deals behind the numbers.” — Jonathan Cherry, Senior Manager, Marketing Operations & Insights, Yext
“Before HockeyStack, our team was uncomfortable with data. Now every marketer presents their own metrics, tells the story behind them, and makes confident decisions. When they walk into a meeting with the CEO, they can explain their choices with evidence instead of opinions — and that mindset shift is the real return.” - Doug Cone, Director, Growth Marketing and Operations
Chris Wood, Director of Demand Generation at ActiveCampaign, shares how HockeyStack empowered their team to overcome BI challenges, and optimize LinkedIn performance.
“HockeyStack is allowing us to understand trends over time and also predict where to go next.”
HockeyStack uses machine learning to mine your winning patterns from your data, and encodes them as one structured process every rep runs the same way. Clean inputs in. Forecasts you can defend out.
Every action is driven by validated blueprints, so execution becomes consistent across every rep and every deal.
Coaching becomes specific and data-driven. Forecasting is built on real engagement signals and blueprint patterns.
Could RevOps build this internally?
Many successful revenue teams have built parts of it internally. Most internal builds focus on narrow use cases like research summaries, account plans, and meeting prep.
To do what HockeyStack does you'd need to build an event-chain model, an ML pipeline that mines winning patterns, an orchestration layer, and deploy thousands of agents across every account and open deal that maintain GTM context and rep specific memory. Then sync back to Salesforce, rep, and manager interfaces.
We estimate that's a 3-year engineering project, and the token costs alone would exceed what you'd spend on HockeyStack.
The deeper gap: internal builds don't self-learn, don't carry cross-customer intelligence from hundreds of implementations, and have no SLA for when your process changes.
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