Revenue attribution
Where did paying users come from?
Excellent for channel and campaign decisions. It does not explain the objection at the paywall.
The paywall conversion loop
Turn paywall hesitationinto verified revenue lift.
Ask one question at pricing or checkout. MorePaying ranks the blockers by money, hands the next fix to your coding agent, and measures what changed after the deployed SHA.
Free · no card · one script · no Stripe secret
Installed on live checkout sites
The same one-question card is already on six paying walls. Demo-board money stays a seed, not these sites' revenue.
Run the 60-second demo
First 4K render is done. Keeping it is paid. Click Don't upgrade.
Free plan · 12 / 50 credits left
$20 / month
First 4K render is done. Keeping it is paid.
Live board
Your answer should show up here in a few seconds.
Conversion
Open boardAnswer the question. Your card lands here.
Why users don't pay: what the installs actually report
Every answer below came from a real pricing exit on a live paywall running the one-question card. The demo board is excluded, because its numbers are seeded.
- Free plan is enough
- 10 · 26%
- Price
- 10 · 26%
- First result wasn't good enough
- 5 · 13%
- I need video, not images
- 3 · 8%
6 live paywalls · 1224 pricing views · 38 answers written
Live tally across the installed paywalls. Demo-board numbers are excluded.
What is paywall attribution?
Paywall attribution answers one question with a number attached: which objection at your pricing page is costing you the most money, and did the fix you shipped move it? It ties a pricing view to the reason the user picked, the plan and channel they arrived with, and the amount they were about to pay. That row is what makes one blocker rank above another instead of every objection sitting equally in a feedback inbox.
It is a different job from analytics and from feedback tools. Analytics tells you where the drop-off is. A feedback tool collects what people said. Paywall attribution keeps going past both: the top blocker becomes a work item for your coding agent, ships against a recorded release SHA, and is then read back against paying customers in the 7-, 14-, and 30-day windows after that release.
The paid check is what separates it from another dashboard. A pricing-page change is a hypothesis until a customer identifier that was not in the locked baseline shows up. MorePaying keeps the baseline and the release SHA next to the result, so a real lift can be told apart from a good week.
One loop, four proofs
From hesitation to a verified result
Do not stop at a dashboard. Capture the blocker, price its impact, ship one fix, then check whether that exact release created more paid conversions.
Capture
Ask at pricing or checkout, while the decision is still fresh.
353
pricing views · 31 reasons
111 did not upgrade
Prioritize
Join the answer with plan, usage, channel, and blocked money.
$2,400
blocked
First result wasn't good enough
Ship
Let the coding agent pick the highest-value blocker and attach the release SHA.
deadbeef
release
Cancel reason is a hypothesis only. Compared Stripe + job log; user was cycling credits.
Verify
Compare 7, 14, and 30-day paid lift instead of declaring victory at deploy.
Awaiting 7-day verification
verified lift
Compare 7, 14, and 30-day paid lift instead of declaring victory at deploy.
Demo data, clearly separated from the six live installs.
A category of its own
Analytics says where. Feedback says what. MorePaying proves what to ship.
The gap is not another chart. The gap is turning one buying objection into a ranked engineering decision and a measurable revenue result.
Contextual feedback
What did users report?
Excellent for product feedback and bug context. It does not make blocked revenue the default priority.
MorePaying
Which objection costs money, what ships next, and did it work?
Why × context × channel × money × deployed SHA × measured lift, in one conversion loop.
Built for a live checkout
Revenue evidence without handing over the keys
- No Stripe secret in the browser or widget
- Short-lived identity tokens for signed-in users
- Bounded requests with a fail-soft anonymous fallback
- Template triage remains when an AI provider is unavailable
Install
One script. Ask when they leave the paywall.
<script src="https://morepaying.com/widget.js"></script>
<script>
MorePaying.init({
projectKey: "mp_proj_YOUR_KEY",
apiBase: "https://morepaying.com"
})
MorePaying.identify({ userId, plan, creditsRemaining })
MorePaying.track("pricing_view")
MorePaying.track("pricing_exit") // when they do not pay
</script>