Cavender’s opened 27 new stores in 2025. Every one on target or better.

Western wear · 100+ stores · Tyler, TX

Where they started

Cavender's was ready to accelerate growth but didn't have the in-house data science resources to evaluate markets at scale. They needed more than software. They needed an embedded team that could build custom models, audit their portfolio, and help them move with confidence.

What they did, step by step

Step 1
Discovery
Mapped store performance to identify which markets and customer profiles drive revenue
Step 2
Labs forecast
A glass box forecasting model built on Cavender's actual sales data, reviewed weekly with the team
Step 3
Portfolio audit + market prioritization
Evaluated every existing store and ranked the underserved markets with the most potential
Step 4
Cannibalization analysis
Flagged overlap risks before committing to new sites, avoiding ~$2M in bad locations
Step 5
Direct team access
Dedicated data scientists on weekly calls, building and refining the model alongside Cavender's real estate team
Step 6
Committee reports + quarterly reviews
Committee-ready site reports, and quarterly strategic reviews with updated findings

Before and after

Immediate ROI. The Labs engagement saved ~$2M in avoided bad sites, replaced $200K/yr in external consultant fees, and accelerated time-to-revenue by 4 months per location.

927

New stores a year, 2024 to 2025.

2,000+

Sites evaluated across new and existing markets.

$2M

Roughly what Cavender’s saved by skipping three poor locations the analysis caught.

$200K

A year in consultant fees, replaced.

“Other services hide behind black-box models that are hard to trust. The beauty of GrowthFactor is they make site selection incredibly simple, and give us clear unbiased recommendations.”