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.
How we helped B2B leaders around the world
How 8x8’s Marketing Team Drives Business Growth with HockeyStack
How ActiveCampaign hit their monthly revenue targets after cutting ad spend in half
How Anvilogic Moved from Fragmented ABM and Reporting to Data-Driven GTM
How Dice Optimized Go-to-Market Strategy with a Connected Buyer Journey
How shifting from Bizible to HockeyStack changed Planful's marketing team
How Bloomreach Proves Marketing’s Impact with HockeyStack
Frequently asked questions
Our implementation is self-serve. You can integrate all your data sources and historical data in a few steps. Out-of-the-box dashboards are ready to use immediately after the data ingestion. All customers see value within the first 30 days.
You need to have a marketing operations / revenue operations resource to implement HockeyStack efficiently, but HockeyStack doesn't require any coding, and all functionality is self-serve.
HockeyStack integrates with leading CRM, ABM, Marketing Automation, and advertising platforms. Learn more about our integrations.
HockeyStack helps you create and capture more pipeline by showing you the holistic funnel and buyer journey instead of just department-level analytics. It is fully customizable and is the only tool that allows you to build any report you need without any code. Learn more about what makes us different.
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