Instantly calculate how much revenue you're losing to abandoned carts. Uncover recovery opportunities and reclaim up to 35% of lost sales.
Nearly 70% of online shopping carts are abandoned. That's billions in lost revenue. Our Cart Abandonment Loss Calculator quantifies exactly how much you're losing and shows the recovery opportunity.
Stop guessing — know your exact revenue leak, benchmark against industry standards, and build a data-driven recovery strategy that works.
Actionable metrics that help you plug revenue leaks and boost ROAS.
Quantifies monthly & annual loss based on your unique abandonment rate and order volume.
Shows how much revenue you can reclaim with best-in-class recovery tactics.
Compare your abandonment rate vs industry averages (fashion, electronics, beauty).
Pinpoints drop-off stages: cart page, shipping, payment.
Estimates returns from email/SMS recovery sequences vs cost.
Get actionable recommendations based on your loss profile.
Simple inputs, powerful insights, immediate action.
Monthly orders + average cart value.
Instant revenue leak & abandonment rate.
How much you can reclaim with best practices.
Get tailored fixes to plug the leak.
Stop leaving money on the table. Our calculator reveals exactly what you can recover.
Trusted by 12k+ eCommerce stores to recover millions.
Compare vs 50,000+ stores in your vertical.
No login, no data storage, anonymous usage.
Tailored recovery steps based on your loss.
| Feature | SEOScaleUp ✓ | Manual Spreadsheet | Paid Analytics ($99+) |
|---|---|---|---|
| Real-time loss calculation | ✓ Instant | ✗ Manual | ✓ |
| Abandonment rate benchmark | ✓ Industry-specific | ✗ | ✓ |
| Recovery potential estimate | ✓ | ✗ | ~ limited |
| Checkout funnel analysis | ✓ | ✗ | ✓ (costly) |
| Recovery tool ROI calculator | ✓ | ✗ | ✗ |
| Exportable reports | ✓ CSV | ✓ manual | ✓ |
| Actionable recovery playbook | ✓ | ✗ | ~ partial |
| Price | 100% Free | Free | $99+/mo |
| No signup required | ✓ | ✓ | ✗ |
Join 12,000+ merchants who recovered over $180M in lost revenue using data-driven insights.
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