Department store retailSourced

Case Study: Belk drives $35M in incremental revenue with Constructor

Belk Case StudySourced & dated by Case Study Desk

Key facts · TL;DR

Company

Belk

Industry

Department store retail

Challenge

Improve on-site search and product discovery to grow ecommerce revenue.

Headline result

$35M incremental revenue and +7.4% revenue per visitor

Key results

$35M

Revenue

Revenue Optimization Program

$21M

Revenue validated

During Proof Schedule

+7.4%

Revenue per visitor

Lift

>2X

Conversion rate

AI Shopping Agent vs. standard search

The challenge

Belk, a US department-store retailer, wanted to grow ecommerce revenue by improving on-site search and product discovery, with roughly 40% of sales coming through mobile.

The solution

Belk evaluated Constructor through its Proof Schedule and adopted Search & Autosuggest and the AI Shopping Agent as part of a Revenue Optimization Program.

“Constructor won in pure testing. They didn't just hand us a product — they worked with us to set things up for success.”
RS
Richard Spencer
CIO, Belk

The results, in context

Constructor's Revenue Optimization Program delivered $35M in revenue, with $21M validated during the Proof Schedule and a +7.4% lift in revenue per visitor. The AI Shopping Agent produced more than 2X the conversion rate of standard search.

Products used

Constructor Search & AutosuggestConstructor AI Shopping AgentConstructor Proof Schedule