Identify trends and patterns in your buyer journey
Use cohort analysis to filter buyer behaviours for different segments, visualize trends over time, compare buyer personas, understand sales cycles, and measure ROI for activities with significant time lag between clicks and conversions.
Pinpoint your ideal customers
Filter your contacts by product, region, segment, or any other criteria to quickly identify your most valuable conversions or customers. For example, which customers have the highest ACV? The fastest sales cycles? The best ROAS? Cohort analysis will provide these insights.


Analyze journeys independently
Segment visitors, accounts, and customers into groups and analyze their journeys independently. For example, segment newsletter subscribers, buyers from LinkedIn ads, , or if someone submits the demo form but becomes an opportunity next quarter.
Measure ROI, even with time lags
Measure paid campaign ROI over extended periods of time, no matter how much time passes between spend and conversions. For example, if someone clicks on an ad but converts two months later, tie the conversion to the spend from two months ago, not the spend from today.


Add segment filters to any data
Want to analyze performance, but only for a specific segment of buyers? Add a custom filter or pre-made segment to any report and immediately splice the data by segment. For example, want to measure ad performance, but for people who book demos only? Add a segment filter.
What's possible?
Franchise cohorts
Newsletter, podcast, or series subscribers? Compare subscribers vs. non-subscribers to see which franchises produce the best leads and buyers.
Blog visit cohorts
Track organic blog visits in their own cohort to see which blog posts generate buyers in the future- even if that future is years away.
High-intent cohorts
Create a cohort of high-intent prospects (using our predictive intent) that you can share with sales and compare to low-intent buyers.
Ad impression cohorts
Create a cohort for accounts with LinkedIn ad impressions so you can measure conversions from people who saw ads but came to you directly to convert.
Customer cohorts
Analyze different ICPs in their own segments so you can spot trends in unit economics that were disguised at the aggregate level.
Pipeline source cohorts
Measure the quality of different marketing tactics and channels by tracking performance by pipeline source.
Frequently asked questions
Our implementation is self serve, and onboarding is designed to be quick and streamline your path to value. Our customers get initial GTM insights within 24 hours. Our dedicated customer success team provides high-quality support and resources to ensure smooth AI adoption and help you effectively integrate our AI agents into your existing GTM strategies.
AI agents are only as good as the data they’re trained on. Without access to accurate, well-organized, and contextual information about your business, they produce outputs that are often irrelevant or unreliable.
HockeyStack connects directly to your GTM tech stack, ingesting both structured and unstructured data across marketing, sales, product, and customer success. We clean, organize, and categorize this data to ensure your AI agents are grounded in accurate, up-to-date information.
You also have the ability to customize and edit the context your AI agents operate in, ensuring they understand your business as deeply as you and your team do.
Over time, HockeyStack AI Agents continuously learn from your company’s real activities, strategies, and decisions, automatically refining their recommendations and actions.
The result is trustworthy, business-aware outputs that drive meaningful results from day one, and only improve over time.
While having a GTM or revenue operations resource can help streamline implementation, HockeyStack is built as a fully self-serve GTM AI platform and doesn’t require any coding. Our AI agents, Odin and Nova, make it easy to analyze touchpoint data and surface next best actions—no technical knowledge needed.
HockeyStack integrates with leading CRM, ABM, Marketing Automation, Sales Outreach, and advertising platforms. Learn more about our integrations.
Analytics platforms usually use cookies to track users. Use of cookies has recently come under scrutiny by privacy legislators, and have been severely restricted.
Everything you see here works without cookies by default. You still have the option to switch to cookie-based tracking. Read our article on our cookieless tracking technology to learn more.
We store your data on AWS servers in Frankfurt, Germany. We don't collect any personal information by default, including IP addresses. We follow GDPR and CCPA regulations. Read our privacy policy to learn more.