How we handle data and what we actually sell
This page exists so there's no ambiguity: what we collect, why we collect it, and what we do and don't turn around and sell.
What we collect
The apps, websites, and internal systems we build are designed to gather the usage and behavior data relevant to the research question behind them: things like how a feature gets used, where people drop off, or how an internal process actually flows day to day. We collect what's needed to answer the question, not everything we technically could.
What we do with it
Raw activity gets aggregated and anonymized into statistics and trend research. A single person's actions disappear into a pattern shared across many users. That pattern is the research output, not any one person's record.
| We collect | We turn it into | We offer it as |
|---|---|---|
| App & site usage data | Behavior & engagement trends | Aggregated statistics |
| Internal system activity | Operational pattern research | Industry benchmarking data |
| Never: names, contact info sold onward | None | Not for sale, ever |
What we will never do
- We will not sell any individual user's personal data.
- We will not hand raw, identifiable records to advertisers, partners, or anyone else.
- We will not collect more than what a given product's research purpose actually requires.
What we do sell
Statistics. When a business is interested in advertising more effectively or improving its own systems, we can license the relevant aggregated research to them, through our own pricing chain, as a standalone product. From there, that business can either continue working with us to apply the insight, or take the statistic and pursue their own path independently.
Why this structure
Because the two things, needing usage data to do good research and keeping personal data off the market, are not in conflict once the data is aggregated. Building our own software lets us enforce that boundary at the source, instead of relying on a third party's promise after the fact.
Related reading
This page explains our data philosophy in plain terms. For the legally binding versions, see our Privacy Policy and Terms of Service.