Track missed orders, conversion leaks, and stockout impact. Use traffic, conversion, and margin inputs effectively. Turn missed demand into smarter inventory and pricing decisions.
Baseline Orders = Visitors × Expected Conversion Rate
Actual Orders = Visitors × Actual Conversion Rate
Conversion Gap Orders = Baseline Orders − Actual Orders
Potential Stockout Orders = Visitors × Affected Traffic Share × Expected Conversion Rate × Unavailable SKU Share
Stockout Lost Orders = Potential Stockout Orders × (1 − Substitution Recovery) × (1 − Backorder Recovery)
Other Lost Orders = Conversion Gap Orders − Stockout Lost Orders
Lost Revenue = Total Lost Orders × Average Order Value
Lost Gross Profit = Lost Revenue × Gross Margin
Wasted Ad Spend = Visitors × Affected Traffic Share × Paid Traffic Share × Cost Per Visit × Unrecovered Stockout Factor
| Metric | Example Value |
|---|---|
| Analysis Days | 30 |
| Visitors | 50,000 |
| Expected Conversion Rate | 3.20% |
| Actual Conversion Rate | 2.60% |
| Average Order Value | $85.00 |
| Gross Margin | 42.00% |
| Affected Traffic Share | 28.00% |
| Unavailable SKU Share | 18.00% |
| Substitution Recovery | 22.00% |
| Backorder Recovery | 12.00% |
| Paid Traffic Share | 45.00% |
| Cost Per Visit | $0.65 |
| Remarketing Recovery | 15.00% |
Lost sales hide inside normal reports. Many stores only track completed orders. That view misses demand that never converted. A strong lost sales model shows the real revenue gap. It connects traffic quality, stock availability, conversion friction, and margin impact in one place.
Expected conversion rate gives you a benchmark. Actual conversion rate shows what happened. The difference reveals missed orders. That gap becomes more useful when you layer in stockout exposure. Some visitors leave because products are unavailable. Others abandon because delivery, trust, payment, or speed issues create friction.
This calculator splits lost orders into two groups. First, it estimates stockout losses from affected traffic and unavailable items. Second, it assigns the remaining conversion gap to other issues. That helps ecommerce teams avoid vague decisions. Merchandising, performance marketing, and operations can each see their part of the problem.
Revenue loss matters, but margin matters more. A store can recover top line sales and still hurt profitability. Gross margin converts lost revenue into lost gross profit. That number is better for prioritizing fixes. It helps teams compare inventory actions, ad spend changes, and retention campaigns with more discipline.
Paid traffic share and cost per visit reveal wasted spend. Remarketing recovery shows how much value you may still capture. Break even recovered orders give teams a simple target. If your store improves availability, checkout flow, and follow-up campaigns, you can recover meaningful demand. Better forecasting also reduces future stockout risk. Over time, this improves customer experience, conversion efficiency, and contribution margin across important channels.
It estimates missed orders, revenue, and gross profit. It compares expected performance with actual performance, then adjusts for stockouts and recovery behavior.
The expected rate acts as your benchmark. The actual rate shows what shoppers really did. The gap helps estimate orders your store failed to capture.
It is the percentage of visitors who saw unavailable products or stock-related issues. A higher share usually means more demand was blocked before checkout.
It shows how many shoppers bought an alternative product instead of leaving. Strong cross-sell and substitute recommendations can reduce stockout losses.
Some customers accept delayed fulfillment instead of abandoning. Backorder recovery captures that behavior, so your stockout estimate stays more realistic.
Lost revenue shows missed sales value. Lost gross profit shows the contribution lost after product cost. That makes it better for prioritizing fixes.
It estimates paid acquisition cost spent on visitors who hit stockout friction and did not recover. This helps connect merchandising issues with marketing efficiency.
Yes. It helps estimate how much revenue poor availability may suppress. Teams can use that insight to improve replenishment, assortment planning, and retention efforts.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.