How Curtsy Achieved a 10% Lift in Search Conversion Rate with Constructor

A Better Ecommerce Search Solution

Once Curtsy got to the point where they had begun implementing their own temporary workarounds to the search experience, it was clear that improving search had become a priority.

“One of our big initiatives this year was actually showing people what they expect and want to see in front of them, rather than items based on popularity or text matching,” Allen says. “We were introduced to Constructor through an investor, and it was immediately interesting. A platform built around user intent was something that we had been talking about for a long time.” 

Working side-by-side with Curtsy, the Constructor team implemented the Proof Schedule to prove its ability to drive KPIs. “As soon as we had Constructor implemented,” Allen recalls, “we played around with it. We would do side by side comparisons of Algolia and Constructor results, and in most cases we were a lot happier with Constructor. The team was really happy about it, and when we showed it off to our investors, everybody was impressed.”

Constructor + Curtsy = All Stars

With Curtsy’s previous search solution, one persistent pain point came in the form of Converse shoes. Converse All Stars would not consistently appear when a user would enter a search query for “all stars.” Instead, Algolia’s text-based algorithm would return any item with “stars” in the product title or description—from jewelry to pants to tees.