See exactly how much revenue your checkout is losing and how to recover it.
Estimate lost revenue, identify drop-offs, and see how much you can recover with better checkout performance.
Enter your store metrics
Use your actual numbers or estimates to model revenue loss.
Total monthly sessions or users to your store.
Average completed order value before refunds.
Percentage of visitors who complete a purchase.
Monthly paid media investment used to model signal efficiency gains.
Here's where your checkout is losing revenue.
Based on your inputs - and how most checkouts actually perform.
Where customers drop off
Best fit for heavier traffic and about $68,940 in monthly recovery upside.
Methodology
Conservative estimates built on verified industry metrics.
Most stores lose ~60% of customers at checkout
We model leakage from your conversion rate and anchor it against known checkout friction patterns across thousands of stores.
20-40% of abandoned revenue is recoverable
Automated drop-off detection and recovery flows reclaim a meaningful share of abandoned checkout value.
Cleaner signals improve ad performance
Server-side signal recovery feeds cleaner conversion data to Meta, Google, and TikTok-improving ROAS without increasing spend.
Start recovering your lost checkout revenue.
See where checkout revenue is lost, recover abandoned revenue, and improve paid media efficiency with cleaner conversion data.