Cohort analysis
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.
Trusted by hundreds of revenue teams
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.
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.”
The team at Bitmovin knew their channels were working well together, but manual stitching across platforms and spreadsheets was consuming time that should have been spent on improving performance. That's when they decided to bring in HockeyStack to help clarify what was working for the boss.
"Just today, our CEO reviewed dashboards to evaluate the effectiveness of specific assets, and he found the Lift reports helpful in seeing positive or negative impacts"
The team at Bloomreach needed to paint a clearer picture of marketing’s value and use data to validate spend. And they could do this more effectively at Bloomreach if they knew exactly how their experiences led to sales. That's when they decided to bring on HockeyStack.
We’re able to do the tracking (not just on a converted contact) but to also see what happens before they actually convert. That has really opened up our teams to feel like what they’re doing is having an impact.
The team at Dice was looking for more than last-touch attribution to understand the customer journey. But the data was sprawling and hosted in several tools, and even then, the picture just wasn't complete. That's when they brought in HockeyStack to enrich and enhance their understanding.
“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.”
How OneFlow used cohort reports and multi-touch attribution to gain visibility on their audience, and optimize ad campaigns for pipeline and revenue.
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“We use HockeyStack as a web analytics + revenue attribution platform with complete view into the customer lifecycle. Most of our quarterly OKRs and target metrics are measured directly from HockeyStack.”
Rowan Tonkin, CMO of Planful, shares how HockeyStack enhances visibility and empowers marketing teams to efficiently analyze performance and gain comprehensive insights.
"We looked at other technologies that were both attribution based and non attribution based. HockeyStack gave us the best of both worlds."
Discover how the content team at Whatfix uses HockeyStack to understand how content influences their pipeline and to showcase content’s impact.
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“Now we can nail down attribution to identify both contacts and companies that have engaged with any of our content at any time in their buying journey.”
Frequently Asked Questions
Can't find your answers here?
Connecting all of your data sources takes just a few minutes. The onboarding process, which includes building initial dashboards, user training, and setting goals, takes four weeks on average. Most customers see the value within the first 45 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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