Built from public data.
userken audiences are assembled from sources anyone can go and read. That is the whole point: it is why you can build an audience for a competitor, and why you can check our work. Here is what is live, what each source contributes, and what is next.
Live from the index.
Connected today.
Apple App Store
LiveLong form, opinionated, and heavy on the moment something broke. Strongest signal for feature complaints, pricing reactions and version regressions. Carries rating, version, country and date, which is what makes time split hold outs possible.
Google Play
LiveHigher volume and shorter on average, with a wider device and market spread. Balances the Apple skew and fills in the lower end of the rating distribution, where the most specific complaints live.
Connectors in the queue.
Discussion rather than verdicts: comparisons, workarounds, and the reasons behind a switch. Adds the deliberation that a store review has already skipped past.
Hacker News
PlannedA technical, early adopter slice with strong views on privacy, performance and pricing models. Useful as its own segment, and openly unrepresentative of a mass market.
Bluesky
PlannedShort, fast reactions with timestamps, which is what you want for tracking how sentiment moves in the days after a launch.
Your own CSV uploads
PlannedSupport tickets, survey verbatims, interview transcripts, NPS comments. Uploaded data stays private to your workspace and can be mixed with public sources or used on its own.
Rules we hold ourselves to.
- Public data only, collected from public endpoints, used to build aggregate segments rather than to profile individuals.
- Quotes are shown as evidence with their review id, so any claim can be traced back to its source text.
- Uploaded data stays private to the workspace that uploaded it and is never mixed into public audiences.
- Reviewers are self selected, which we state plainly on the accuracy page rather than burying in a footnote.
Want a category we do not cover?
The pipeline is the same for any consumer category: index the reviews, embed, cluster, expose. Tell us which one you need.