You can't improve what you can't measure.
Product usage analytics reveal which features are used, which are abandoned, and where users get stuck. Without data, product roadmap decisions are guesswork. With data, prioritization is evidence-based. Adding usage tracking is usually a 1-2 week project.
Product decisions made without data on how users actually use the product — no event tracking, no feature usage visibility, no activation or retention metrics
The product metrics that matter for SaaS growth:
Activation rate: % of new users who complete the key activation action (the "aha moment"). Tracks whether onboarding is working.
Feature adoption: % of active users who have used a specific feature at least once. Identifies which features are valuable and which are ignored.
Retention: % of users from a cohort who are still active after 1 week, 1 month, 3 months. Identifies whether the product delivers long-term value.
NPS (Net Promoter Score): Would you recommend this product? A leading indicator of word-of-mouth growth.
DAU/MAU ratio (stickiness): Daily active users / monthly active users. High ratio means users return frequently. Target: 20%+ for most SaaS.
The measurement stack:
Posthog (events): Tracks specific user actions. Provides funnels, retention charts, and user-level behavior.
Stripe Dashboard (revenue): MRR, churn, ARR, new vs expansion vs contraction revenue.
Custom dashboard: Pull key metrics into a unified view for the team. Queries against the production database for business-specific metrics (e.g., records created per user, API calls per tenant).
What to measure first:
- Signup to activation funnel (where are users dropping off?)
- Feature usage by active users (what are they actually using?)
- Retention by cohort (are users coming back?)
These three answer the most important early-stage product questions.
Usage analytics showing feature adoption rates, user activation funnel, retention cohorts, and the key metrics needed for evidence-based product decisions
Posthog
event tracking setup
Activation funnel
definition and instrumentation
Feature usage events
on key product actions
Retention cohort
configuration
Simple internal dashboard
with key product metrics
One honest number to start.
Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.
Usage analytics showing feature adoption rates, user activation funnel, retention cohorts, and the key metrics needed for evidence-based product decisions
Three steps, every time.
The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.
Brief & discovery.
We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.
Build & ship.
Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.
Warranty & retainer.
30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.
Why Fixed-Price Matters Here
Analytics scope is the metric set and event list. Fixed-price from the measurement plan.
Questions, answered.
Yes. Product analytics measures user behavior. Business analytics measures revenue. Both matter; product analytics requires instrumentation in the application code. Revenue analytics typically comes from Stripe and the subscription system.
Some data immediately (feature usage going forward). Retention cohorts take 4-12 weeks to show meaningful data. Plan the measurement timeline accordingly.
Tell Ryel about your project.
Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.