Product Analytics.
Understanding what users actually do — not what they say they'll do.
Why this specifically.
For SaaS and consumer app businesses, product analytics is the difference between shipping features that matter and shipping features nobody uses. We install Amplitude, Mixpanel, or PostHog and build the event taxonomy that makes real decisions possible.
Our product-analytics engagements ship an event taxonomy, an instrumentation plan, dashboards for the core PLG loop, and a retention analysis playbook.
For companies without a product-analyst on staff, we can embed monthly to run cohort analyses, feature adoption reports, and retention curves.
What ships to you.
Event taxonomy
Every event, property, and user trait — documented and consistent.
Instrumentation
SDK setup, event firing, QA. Real-time debugger passing.
Core dashboards
Acquisition, activation, retention, referral, revenue. Segmented properly.
Cohort playbook
Weekly cohorts, retention curves, feature adoption analyses.
Insights cadence
Monthly insight report. What we learned. What to test next.
5-step process, no filler.
- 01DesignEvent taxonomy designed. Signed by product, marketing, data.
- 02InstrumentSDKs deployed. Events fired. QA'd.
- 03ModelCore funnels and dashboards built.
- 04AnalyseFirst cohort analyses run. Insight report shipped.
- 05IterateMonthly insight cadence. Instrumentation extended as product evolves.
The numbers.
Questions smart clients ask.
Amplitude for depth. Mixpanel for ease. PostHog for engineering-heavy teams that want open-source.
Yes — event data exported to BigQuery/Snowflake for long-term analysis.
For part-time coverage, yes. Full-time analyst work is better in-house.
First useful cohort read: 6–8 weeks after instrumentation.
More inside Analytics & CRO.
Kick off Product Analytics.
30-minute strategy call. We diagnose live. No decks, no theatre.