Why the bnpl conversion lift calculator matters
BNPL genuinely raises basket size, and it also cannibalises card orders that would have converted anyway at a much lower fee. This page turns that decision into a handful of inputs you can defend in a budget review: volume, unit cost, rate of adoption, and time. The output is a planning baseline, not a promise — it tells you whether the idea deserves a vendor quote, a pilot, or a pass.
- • Biggest swing factor: true incremental conversion, net of cannibalisation
- • Second-order factor: the fee premium over card
- • Often ignored: basket size uplift
What actually changes the answer
true incremental conversion, net of cannibalisation moves this number first, then the fee premium over card. Run a conservative case and an upside case before you commit. If the maths only works in the upside case, treat it as a time-boxed test with a kill date rather than a line in next year's plan.
What to do with the result
Compare total payment cost before and after launch rather than judging BNPL alone. If blended cost rose more than revenue, the lift was cannibalisation.
Related guides
Long-form playbooks on the same topic, written by the RevenueLab editorial team.
FAQ
What does the bnpl conversion lift calculator work out?
It applies Net gain = sessions × base conversion × lift × order value − cost to the values you enter for sessions per month, current conversion rate, conversion lift from offering bnpl, average bnpl order value, extra merchant fees per month. BNPL genuinely raises basket size, and it also cannibalises card orders that would have converted anyway at a much lower fee.
How accurate is this bnpl conversion lift calculator?
Cannibalisation is the key risk and is not modelled — reduce your lift input to the genuinely incremental share. Replace the defaults with your own invoice, usage export, payroll data, statement, or vendor quote before making a commitment — the maths is exact, so the answer is only as good as the inputs you feed it.
Which input should I stress-test first?
true incremental conversion, net of cannibalisation. Re-run with a pessimistic value for it; if the decision flips, that assumption is the thing you need real data on before signing anything. After that, check the fee premium over card and basket size uplift.
Which scenario should I start from?
Start with the preset closest to your situation — lean case, expected case, scaled case — then edit the sliders. Presets are realistic starting points, not benchmarks to match, and every change updates the result instantly.
What should I do after running the numbers?
Compare total payment cost before and after launch rather than judging BNPL alone. If blended cost rose more than revenue, the lift was cannibalisation. A useful planning benchmark to compare against: BNPL merchant fees run 3–6% versus 2.6–2.9% for cards; AOV typically rises 20–50%.
Can I share or save this calculation?
Yes. Your inputs are written into the page URL, so copying the link shares the exact scenario you are looking at — the person who opens it sees the same numbers. You can also export the inputs and results to CSV or PDF from the result card and keep it with the rest of your workings.
How this calculator is built
Independently maintained
Written by Sam Doshi and the RevenueLab editorial team. We don't sell the data feeds this tool is built on.
Sourced from primary data
Benchmarks come from public AdSense / Stripe / IRS disclosures and reader-submitted data — never third-party "$X per view" claims. Full methodology.
Last editorial review
Reviewed on a rolling quarterly cycle. Dated reviews are published on the methodology record for each calculator.
Editorial standards
See our editorial policy and disclaimer. Results are estimates, not advice.