Rent the Runway

Objective

Deepen discovery and engagement for active subscribers of the subscription rental service, so they find pieces to rent faster, book more, and stay subscribed. Rent the Runway describes a discovery engine at the core of its 2026 strategy, with add-on revenue up 70.4% year-over-year, driven by stronger subscriber engagement.

The deployment

In April 2026, Rent the Runway deployed personalized carousels across its platform, live for all subscribers. The subscriber discovers pieces close to her recent favorites and browses a For You feed tuned to her tastes. The brand measures an 11% increase in hearting (favoriting) on the home page for active subscribers. Second component, also in April 2026, AI-generated product imagery replaced old visuals with more realistic images meant to help the customer picture herself in the piece; views on these styles increased 129%. A third workstream, the automated generation of complete outfits, entered internal testing in May 2026 and was not yet open to subscribers as of the results date: Rent the Runway indicates it intends to deploy it in the following months, which makes it a future extension rather than a result at scale. The credibility context is a public quarter (Q1 FY2026, closed April 30, 2026, published June 3, 2026) with revenue of 89.9 million dollars, up 29.2% year-over-year, and 155,692 active subscribers at period end. Rent the Runway discloses neither the models nor the providers behind these features.

Results Proof A

Figures published by Rent the Runway itself in its 8-K filed with the SEC (Exhibit 99.1, Q1 FY2026 results, T1 primary), reproduced identically in its official release and concordant with the earnings call transcript. The +11% hearting and +129% views are explicitly attributed by the brand to the two AI features, and the carousels are declared live for all subscribers. Primary financial-results document, hence level A.

The internal detail is not public. Here is a proven approach that leads to the same result, to adapt to your stack.

1. 1
   Collecting engagement signals customer

   The subscriber favorites pieces, views listings, rents; these events feed her taste profile.

2. 2
   Building the For You feed AI

   The recommendation engine composes the personalized carousels and the feed from recent favorites and detected preferences.

3. 3
   Generating product imagery AI

   An AI imagery model produces more realistic visuals to replace old inventory images, to help the customer picture herself.

4. 4
   Delivery on the site and app data team

   Carousels, For You feed, and new visuals are served on the home page and product listings of all subscribers.

5. 5
   Measurement and iteration marketing

   The team tracks hearting, views, and engagement to validate impact and extend the scope (internal testing of outfit generation ahead of a future deployment).