Find the leak

Storefront drop-off analytics for Shopify stores

A funnel view and cursor heatmap show exactly where shoppers stall before checkout, with an AI read on the likely cause and the fix to try first.

Sample data

Drop-off & heatmap

Heatmap on
/products/the-multi-managed-snowboard61%

980 sessions · 1,460 clicks

/checkout57%

286 sessions · 320 clicks

/cart49%

410 sessions · 540 clicks

/collections/all33%

890 sessions · 1,120 clicks

test-store-popped

The Multi-managed Snowboard

$629.95

Add to cart
Buy it now

The problem: churn starts before the first order

Retention work usually begins after someone has bought. But a large share of lost revenue never becomes a customer at all — shoppers who were on the page, ready, and left. Those people cost the same to acquire as the ones who converted.

Analytics will tell you the conversion rate dropped. It will not tell you that shoppers hovered over the shipping estimate for eleven seconds and then closed the tab.

Behaviour, not just numbers

ChurnMiser pairs a funnel built from your real sessions with a cursor heatmap of the page itself, so hesitation shows up as behaviour rather than a percentage. Where attention pools without converting is usually where the friction is.

The platform then reads the pattern and names a likely cause and a concrete change to test. You get a hypothesis, not another dashboard to interpret.

Why this belongs in a retention tool

The same friction that loses a first-time shopper loses a returning one. Fixing a checkout that confuses people raises both conversion and the odds that a customer comes back for a second order — which is where retention actually compounds.

More of the platform