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Books-A-Million opened 19 new stores in 2025, with the team that opened 6.

Bookstore chain · 260 stores · Birmingham, AL

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A BAM! store in a shopping center

Where they started

BAM was ready to accelerate expansion, but their real estate team lacked the data science capability to evaluate markets at scale. They didn't need another software tool. They needed a team that understood their brand, their data, and their growth strategy. And tripling the opening pace couldn't come at the cost of site quality.

What they did, step by step

  1. Step 1

    Discovery

    Mapped BAM's store performance data to identify which markets and demographic profiles drive revenue

  2. Step 2

    Labs forecast

    A glass box model built on BAM's actual sales data. The team sees exactly how every variable contributes, with no black box and no mystery

  3. Step 3

    Direct data science team access

    Weekly calls with the data scientists building the model. Not a support ticket. The same team, every week

  4. Step 4

    Quarterly model refreshes

    New data, new findings and a new discussion every quarter. Not a static annual deliverable

Before and after

Three times the stores, and better stores. BAM tripled its opening pace without adding headcount, and the locations it opened sold 14.1% more per square foot than the prior year's. Their CFO put the return on the engagement at 8.9x.

619

New stores a year, 2024 to 2025, with the same headcount.

14.1%

Higher sales per square foot in new stores than the year before.

3,000+

Sites evaluated a year, up from 5 to 10 a week by hand.

25 hrs

Back every week, per analyst.

“What sets GrowthFactor apart is they're in the trenches with us every week. Our GrowthFactor team knows our brand, our markets, and our strategy. It's like adding a senior member to the real estate team without the headcount.”
Damian DoggettCFO, Books-A-Million
Terry Finley, CEO, Books-A-Million, on the Dover, Delaware store: “We thought we had a customer there and we believed the market was underserved and we would do well. That was all true, but we’ve done by a factor of five times better than we expected to.”

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