F

What is Funnel analysis?

Definition, examples, and more

Definition

The process of tracking user behavior through defined conversion stages — such as install → trial → paid → renewal. Funnel analysis helps identify where users drop off and where to optimize onboarding, pricing, or messaging to improve performance.

How to Calculate

Step Conversion Rate = (Users at Step N+1 / Users at Step N) x 100. Overall Funnel Conversion = (Users at Final Step / Users at First Step) x 100. Drop-off Rate at Step N = 100% - Step N Conversion Rate. Revenue Impact of Fixing Step = Additional Users Through Step x Downstream Conversion Rates x Price.

Example

A fitness app maps their funnel: 50,000 installs > 42,000 complete onboarding (84%) > 35,000 view paywall (83%) > 7,000 start trial (20%) > 4,200 convert to paid (60% trial-to-paid). The biggest leak is at the paywall (80% drop-off). By redesigning the paywall with better social proof and a 7-day trial emphasis, paywall conversion improves to 28%, adding 2,800 new trials per month.

Why Funnel analysis Matters

Funnel analysis tells you exactly where to focus for maximum revenue impact. A cooking app had a 3% install-to-paid rate and assumed they needed more installs. Funnel analysis revealed that 90% of users completed onboarding, but only 5% of paywall viewers converted. The problem was not acquisition — it was the paywall. After 3 rounds of paywall optimization, conversion reached 12%, tripling revenue without spending a dollar more on ads.

Frequently Asked Questions

What does a healthy subscription app funnel look like?

Benchmarks vary, but a solid funnel looks roughly like: Install to Onboarding Complete: 70-90%. Onboarding to Paywall View: 60-85%. Paywall View to Trial Start: 15-30%. Trial to Paid: 40-65%. First Renewal: 70-85%. If any step falls below these ranges, it is your priority optimization target.

How often should I review my funnel metrics?

Review high-level funnel metrics weekly and deep-dive into segment-level funnels monthly. Set up automated alerts for significant changes (e.g., paywall conversion drops 20% from the weekly average). After launching any product change, monitor the affected funnel steps daily for 1-2 weeks.

Should I build one funnel or multiple funnels?

Build multiple funnels for different user segments and entry points. Users from Apple Search Ads behave differently from organic users. New users have different funnels than returning users. At minimum, segment funnels by acquisition source, platform (iOS vs Android), and user type (new vs returning). Each segment reveals different optimization opportunities.

Category
Subscription App Terminology
Related Area
Mobile App Growth & Monetization

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