Flying blind: no visibility into how users actually use the product.
Google Analytics tells you page views. It doesn't tell you which features users actually use, what they do before they churn, or which workflows are broken. Product analytics (Posthog, Mixpanel) tracks event-level user behavior. Adding it to an existing application is straightforward.
No visibility into user behavior in the application — product decisions made without data, no way to know which features are used, or where users drop off
The difference between web analytics and product analytics:
Web analytics (Google Analytics, Plausible): Tracks page views, sessions, traffic sources. Answers: where did users come from? Which pages do they visit? How long do they stay?
Product analytics (Posthog, Mixpanel, Amplitude): Tracks events — specific user actions within the application. Answers: which features do users actually use? Where in the onboarding funnel do users drop off? What do users do before they churn?
The events to track:
Start with the key user journey milestones:
user_signed_up
onboarding_step_completed (step: 'profile' | 'first_record' | 'invited_teammate')
feature_used (feature: 'export' | 'dashboard' | 'settings')
upgrade_clicked
plan_upgraded
user_churned (subscription cancelled)
Posthog is the best choice for most applications:
- Self-hosted option (no data leaves your infrastructure) or cloud
- Session recording (watch what users actually do)
- Feature flags (ship features to a subset of users)
- A/B testing
- Generous free tier (1M events/month on cloud)
Implementation:
import posthog from 'posthog-js';
// Track an event
posthog.capture('feature_used', {
feature: 'csv_export',
record_count: 150,
user_id: user.id
});
Identify users after login so events are attributed to specific users:
posthog.identify(user.id, { email: user.email, plan: user.plan });
Product analytics implemented with event tracking on key user actions, funnel analysis, and retention metrics
Posthog
SDK integration
User identification
on login
Core event tracking
on key actions (defined with the team)
Funnel setup
for the main user journey
Retention cohort
configuration
One honest number to start.
Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.
Product analytics implemented with event tracking on key user actions, funnel analysis, and retention metrics
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 integration scope is the event list and the reporting setup. Fixed-price.
Questions, answered.
GA is for marketing analytics (traffic). Product analytics is for product decisions (which features to build, what's breaking). They answer different questions. Both are needed.
Start with 10-20 events covering the key user journey milestones. Don't track everything — too many events makes analysis harder. Add more as specific questions arise.
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.