Who uses what, who stays, and what it is worth.
Klayara connects your product database, event data and billing so product teams see activation, retention, feature adoption and cohorts by plan and segment — joined to revenue and support, not kept in a separate analytics tool.
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What product teams ask every week.
A dashboard earns its place by answering these without anyone opening a spreadsheet.
- Which features do paying customers use, and which does nobody touch?
- What share of sign-ups reach the activation step within 7 days?
- How does retention differ by cohort, plan and acquisition channel?
- Did the last release change how people use the product?
- Which accounts have declining usage and a renewal in the next 90 days?
- What did customers who churned do differently from those who stayed?
Dashboards product teams run on.
Product overview
Active accounts, activation, retention and adoption against target, weekly.
Retention cohorts
Retention by sign-up month, plan and channel as a cohort grid.
Feature adoption
Usage by feature and plan, with revenue attached.
Activation funnel
Sign-up to first value, step by step, by segment.
Account health
Usage trend, tickets and renewal date by account, with at-risk flags.
Release impact
Before-and-after usage and tickets for each release.
What changes for product teams.
Cohorts from your own database
Connect the application database live and build retention cohorts by sign-up month, plan and channel without copying events into another tool. Cohort tables and retention curves are built in, and filtering by plan or channel redraws them in place.
Adoption joined to revenue
Relate feature usage to subscriptions from Stripe or your billing system and see adoption by plan and revenue per feature. Roadmap conversations start from what paying customers do; a feature nobody on a paid plan uses is a question, not a guess.
Release impact the week after
Mark a release date and compare usage, activation and support tickets before and after, by segment. Whether the change worked stops being a matter of opinion, because product, support and engineering look at the same chart.
Usage inside your own product
Embed a usage view in your product so each customer sees their own adoption and activity, with permissions that scope every chart to the account that is logged in. The same view can reach customer success as a scheduled report.
No migration. No new system to learn.
Klayara reads from the tools product teams already use. Connect them, relate them once, and every dashboard draws on all of them together.
- Keep data live in your systems, or import for extra speed
- Spreadsheets sit alongside databases as equals
- A connector missing? Tell us — it goes on the build list
Can Klayara build retention cohorts?
Yes. Cohort analysis is built in: choose the cohort date, the retention event and the period, and Klayara draws the cohort grid and retention curves from your own data.
Our event data is very large. Will dashboards stay fast?
Yes. Klayara stays fast on tables with more than 100 million rows, and the speed is included in every plan.
Can we show each customer their own usage inside our product?
Yes. Embedded analytics puts a live, permission-aware dashboard inside your product, scoped to the account that is logged in.
Can product managers ask questions without waiting for an engineer?
Yes. Ask in plain English and the AI answers from governed data, returning a chart and the figures behind it, limited to what the asker is allowed to see.
See Klayara on your product data.
Bring the report you rebuild most often. We'll recreate it live from your own systems and set it to send itself.
Prefer to see plans first? See pricing