Free tool
Find the stage that is costing you the most
Enter up to five funnel stages with a conversion rate each and this shows the volume surviving every step, your overall conversion rate, and where the largest number of people fall out. The final output is what a realistic improvement at the leakiest stage would be worth in revenue.
Last reviewed 27 August 2026
Result
Conversions a month
25.2
From 10,000 entering the funnel
Overall conversion rate
0.252%
All five rates multiplied together
Worth of a 25% improvement
$7,560/mo
Applied to Visitor to signup, your leakiest stage
Stage by stage
| Stage | Entering | Rate | Continuing | Lost |
|---|---|---|---|---|
| Visitor to signup | 10,000 | 8.0% | 800 | 9,200 |
| Signup to activated | 800 | 45.0% | 360 | 440 |
| Activated to qualified | 360 | 35.0% | 126 | 234 |
| Qualified to paying | 126 | 25.0% | 31 | 94 |
| Paying to retained at 90 days | 31 | 80.0% | 25 | 6 |
Your leakiest stage is Visitor to signup at 8.0%, and it is also where the most people are lost in absolute terms, 9,200 of them. Taking it to 10.0% adds 6.3 conversions a month, worth $7,560.
How this works
What the numbers mean.
- 01Volume flows through each stage in order, so the number entering a stage is whatever survived the one before it. Rates multiply rather than average, which is why an overall conversion rate is always far lower than any individual stage rate.
- 02The largest absolute drop off is reported separately from the lowest rate, because they are usually different stages and people conflate them. The largest drop off is normally the first stage, simply because it sees the most people.
- 03A relative improvement at any stage multiplies the final output by the same factor, so the stage worth working on is the one where that improvement is achievable. A rate at ninety percent has almost no room left, and the improvement here is capped at one hundred percent to reflect that.
Assumptions and limits
- Real funnels are not strictly linear. People re-enter, skip stages, and convert months later, and a linear model understates all of that.
- Stage rates measured over different time windows do not compose correctly. Make sure each rate covers the same cohort period before multiplying them.
- Value per conversion should be first-year value unless you have several years of retention data. Lifetime value makes every improvement look worth doing.
Questions about this tool
Which stage should I fix first?
Why is my overall conversion rate so low?
Should retention be in the funnel at all?
How do I get accurate stage rates?
This tool is free and there is nothing to sign up for. If you would rather have the work done than calculate it, that is what Zway does.