Smarter Location Decisions. Faster Growth.

Here’s what we help you do better

  • Target Local Campaigns that Actually Convert

    • Predict demand, understand neighborhood-level behavior, and avoid expensive site mistakes.

  • Choose Store Locations with Confidence

    • Serve hyper-local ads in the zip codes that matter most, from grand openings to loyalty promos.

  • Benchmark Store Performance Against Competitors

    • Compare foot traffic trends, dwell time, and customer flow to stay one step ahead.

  • Expand Smarter, Not Just Faster

    • Use demographic, psychographic, and mobility data to scale with precision—not guesswork.

Case Study

Client: Multi-unit QSR Franchisee in Metro Atlanta

Challenge: In early 2024, a fast-casual franchise owner with several locations across Atlanta partnered with us to solve a persistent issue: one store was underperforming despite strong brand recognition and consistent marketing efforts.

Category: Location Intelligence • Franchise Marketing • Paid Media Optimization

Solution:

We launched a geospatial analysis to uncover real customer movement patterns and discovered that their ads were targeting the wrong neighborhoods. By identifying the top-performing ZIP codes based on actual foot traffic data and layering in persona insights, we rebuilt their paid media campaign from the ground up.

📈 Results Over 8 Weeks:

  • 3X higher store visits from the newly targeted zones

  • +42% lift in foot traffic to the underperforming location

  • Significant drop in wasted ad spend by cutting out dead zones

  • Improved ROAS through precision targeting

This campaign didn’t just improve traffic — it completely changed how the owner viewed local marketing. The data gave them confidence to scale smarter, location by location.

“We were throwing money at ads and hoping for results. Now, we know exactly where our customers come from and how to reach more of them.”

— Franchise Owner, Atlanta

Case Study

Challenge:

A specialty beauty chain wasn’t sure which of 3 new cities had the best expansion potential.

Solution:

We used mobility and demographic insights to map customer density, competitor proximity, and shopping habits.

  • Chose top location with 27% higher-than-average traffic

  • Reduced CAC by 21% in the first 90 days

  • Saw a 3.1x ROI on their launch campaign

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