An 8,500-SKU home retailer resurfaces buried best-sellers
Best-selling pieces were stranded on page three of collections. Continuous re-ranking pulled them forward and lifted collection conversion.
modeled revenue recovered per quarter
| Metric | Before | After |
|---|---|---|
| Collection click-through rate | 3.1% | 4.1% |
| Zero-result search rate | 11% | 4% |
| Products rewritten citation-ready | 0 | 6,200 |
| Revenue per 1,000 sessions | $420 | $511 |
Large catalogs and static, hand-curated collections meant high-margin best-sellers sat on page three while slow movers held prime positions. Merchandising reviews happened weekly, far slower than demand actually shifted.
Search
Regor repaired zero-result and low-CTR searches across a wide long tail of room, material, and style queries, connecting shoppers to inventory they could not previously find.
Ranking
It continuously rebalanced collections by what was converting and trending, promoting accelerating products and demoting stale SKUs without waiting for the weekly manual pass. High-impact ranking changes were held for review.
Product data
More than 6,000 products were rewritten into structured, citation-ready copy with materials, dimensions, and use-case attributes filled in, improving both on-site search and visibility with AI assistants.
The modeled result was a 31% lift in collection click-through and an estimated $128,900 in recovered revenue per quarter, with every change logged and reversible.
"Our best products were always there. They were just buried. Having something rebalance the catalog every hour instead of every week is the difference."
Modeled scenario. The figures above are illustrative projections from Regor's recovery model and published discovery benchmarks, not results from a named customer. Search shoppers convert roughly 2 to 3 times higher than browsers (Forrester), and in our analysis of nearly 178,000 shopper sessions, 73.5% of purchasers searched before buying. Actual results vary by catalog, traffic, and configuration.
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