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.
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.
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.
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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.
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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.
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Pair self-attribution with software-attribution. Make better decisions.
We can track more than most, but we can’t track everything. Use self-attribution to find untrackable touch points that matter. We’ll take care of the rest.
We can track more than most, but we can’t track everything. Use self-attribution to find untrackable touch points that matter. We’ll take care of the rest.
Six ways our customers use cohort analysis:
Newsletter, podcast, or series subscribers? Compare subscribers vs. non-subscribers to see which franchises produce the best leads and buyers.
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.
Create a cohort of high-intent prospects (using our predictive intent) that you can share with sales and compare to low-intent buyers.
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.
Analyze different ICPs in their own segments so you can spot trends in unit economics that were disguised at the aggregate level.
Measure the quality of different marketing tactics and channels by tracking performance by pipeline source.
Find out how Cognism's marketing team leverages HockeyStack to pinpoint effective strategies and optimize their inbound pipeline towards efficient growth.
Return on ad spend in paid social
Increase in spend:pipeline ROI
saved every month from manual reporting
How OneFlow used cohort reports, incremental lift, and multi-touch attribution to gain visibility into what channels, campaigns, and creatives influenced purchases so they could optimize ad campaigns for pipeline and revenue, not just platform metrics
Paid ROI in the pipeline
form submission in a quarter
visitor to MQL increase with LinkedIn ads
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Discover how the content team at Whatfix uses HockeyStack to understand how content influences their pipeline and to showcase content’s impact across opportunities where they previously had no data.
increase in content-influenced opportunities
increase in opportunities
increase in won deals
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