Funnel Analysis
A method of tracking user progression through a defined sequence of steps — from awareness to conversion — to identify where users drop off.
What is Funnel Analysis?
Funnel analysis tracks how users move through a defined sequence of steps toward a goal (signup, activation, purchase). At each step, some users drop off — the funnel shape visualises where the losses occur.
AARRR funnel (Pirate Metrics)
| Stage | Question | Example metric |
|---|---|---|
| Acquisition | How do users find us? | Visitor → Signup rate |
| Activation | Do they get value on first use? | Users who complete onboarding |
| Retention | Do they come back? | Week-4 retention rate |
| Revenue | Do they pay? | Free → Paid conversion rate |
| Referral | Do they tell others? | Viral coefficient |
Reading a funnel
`
Visited landing page: 10,000
↓ 4.2% conversion
Signed up: 420
↓ 48% conversion
Completed onboarding: 202
↓ 31% conversion
Activated (key action): 63
↓ 22% conversion
Upgraded to paid: 14
`
The biggest absolute drop (10,000 → 420) is the landing page. The most improvable step is often activation (48%) — improving it by 20% compounds through every step below it.
How to prioritise funnel optimisation
Focus on the step with the highest traffic × lowest conversion rate. Small improvements at high-traffic steps have outsized downstream impact.
Free templates for Funnel
Frequently asked questions
Should I optimise the top or bottom of the funnel first?
Bottom of the funnel first — activation and conversion improvements have immediate revenue impact. Top-of-funnel improvements bring more users into a broken funnel, amplifying churn. Fix the leaks before turning on the tap.
How do I know which funnel step to fix first?
Calculate the revenue impact of a 10% improvement at each step. The step where a 10% improvement generates the most incremental revenue is your highest leverage point.
Apply Funnel Analysis to your real product data
PMRead ingests customer feedback, interviews, and Slack threads — and generates PRDs grounded in real evidence.
Related terms
Retention Rate
The percentage of users who continue using a product over a defined time period — the most important signal of product-market fit and sustainable growth.
Conversion Rate
The percentage of users who complete a desired action — signup, upgrade, purchase, or feature activation — out of all users who had the opportunity to do so.
A/B Testing
A controlled experiment that compares two versions of a product element (A = control, B = variant) to determine which performs better on a defined metric.