Product and customer event data
Design and implement event tracking that produces clean, consistent behavioral data for analysis, experiments, and AI.
Behavioral data is only useful if it is consistent. Ad hoc event tracking produces duplicate names, missing properties, and gaps that analysts spend weeks working around.
We design an event schema backwards from the questions the business needs answered, implement it consistently across products, and route raw events to the warehouse. Experiments and AI features then have trustworthy data to build on. Validation in testing catches broken tracking before it reaches production data.
Things to keep in mind
- Collect only what you need, and respect consent.
- Validate events in CI so tracking does not silently break.
- Keep the schema documented and owned.
How it works
Define questions
List the decisions behavioral data should support.
Design the schema
Name events and properties consistently and document them.
Implement
Instrument products and validate events in testing.
Govern
Review new events against the schema before release.
Frequently asked questions
Can you clean up our existing tracking?
Yes. We audit current events and migrate to a documented schema.
Where does the data go?
To your analytics tools and warehouse, as you choose.
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Tell us what needs to work better. We reply within one business day with a clear next step.