What recovered revenue
actually looks like
Three modeled scenarios across common catalog shapes, showing where the revenue leaks, what Regor does about it, and the impact you can model for a store like yours.
These are modeled scenarios. Figures are illustrative projections from Regor's recovery model and published discovery benchmarks, not results from named customers. We label them clearly because honest measurement is how Regor works.
Apparel & Fashion
modeled revenue recovered in the first 90 days
Seasonal language and messy variant naming sent one in seven searches to a dead end. Regor closed the gap in a week.
Read the scenarioModeled scenarioHome & Furniture
modeled revenue recovered per quarter
Best-selling pieces were stranded on page three of collections. Continuous re-ranking pulled them forward and lifted collection conversion.
Read the scenarioModeled scenarioMulti-brand Marketplace
modeled revenue recovered per quarter
Inconsistent vendor data created tens of thousands of dead-end searches. Autonomous enrichment and search repair recovered the long tail at scale.
Read the scenarioModel it on your own store
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