Key Highlights:

+32% Daily Store Sales MAPE Improvement

Strengthened Predictive Tools

Background

This leading provider of location intelligence serves retail, restaurant, and real estate clients with tools for understanding consumer movement and market dynamics. Known for its mastery of foot traffic data, the platform had become indispensable for site selection, trade area analysis, and competitive benchmarking. But inside the product and data science teams, there was a growing recognition: traffic was not the same as spend.

Challenge

Foot traffic was a great signal of presence—but not of purchase. Clients were asking for proof: Did those visits turn into sales? How did customer behavior differ across regions or competitors? The platform had no visibility into those behaviors. And since they modeled spend by multiplying traffic by average value, the margin of error was wide for retailers in particular. The result? Missed trends, inaccurate forecasts, and reduced client confidence.

  • Modeled spend based on foot traffic, not verified purchases
  • Inability to forecast performance or trend shifts accurately
  • Geographic blind spots and weaker competitive benchmarks

Solution

Facteus brought a missing piece to the puzzle: actual transaction data. By embedding Facteus’ anonymized spend data into their platform, the company could map consumer movement directly to verified purchases—by customer cohort, category, geography, and time. Their clients could now see not just where consumers went, but how much they spent when they got there.

  • Replaced modeled averages with real spend behavior
  • Improved forecasting and accuracy of trend maps
  • Offered richer, more complete insights to enterprise clients

Results

The impact on the product—and the business—was profound. Renewal rates jumped as customers saw immediate value. Forecasting models became smarter, more dynamic, and more precise at the store level. The product team launched new site selection and trend tracking features powered by this hybrid location + spend approach.

+32% Daily Store Sales MAPE Improvement

vs. inferred foot traffic models

Higher Customer Renewals

From Improved Analytics

Strengthened Predictive Tools

For Site Selection and Expansion

Impact Highlights

  • +32% daily store sales MAPE improvement vs. inferred foot traffic models
  • Enhanced retail performance forecasting
  • Higher customer renewal rates from improved analytics
  • Strengthened predictive tools for site selection and expansion