Case Study: Rugs Direct achieves +13.54% Revenue Per Visitor and +16.5% Average Order Value with Constructor.io

A Constructor.io Case Study

Preview of the Rugs Direct Case Study

Rugs Direct Dramatically Improves RPV and AOV with ML-Backed Search and Product Discovery

Rugs Direct, the nation’s leading source for area rugs with a catalog of tens of thousands of SKUs, needed a fast, low‑lift way to improve product discovery without draining limited engineering resources or radically changing their UI. Facing vendors who touted vague “relevance” or promised AI that wasn’t available, Rugs Direct partnered with Constructor.io to bring AI‑native search and product discovery (ML product ranking and personalization) into production quickly and reliably.

Constructor.io ran a demo and Proof Schedule and implemented KPI‑driven optimization, machine‑learning ranking and personalization, plus global and time‑based boosting, while providing hands‑on integration and support. The result for Rugs Direct was measurable: +13.54% lift in Revenue Per Visitor and +16.5% lift in Average Order Value, delivered while preserving the site’s look and feel.


Open case study document...

Rugs Direct

Sharon Gautschi

Vice President of Merchandising


Constructor.io

20 Case Studies