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

  • Replacing modeled averages with real spend behavior
  • Improving forecasting and accuracy of trend maps
  • Offering richer, more complete insights to enterprise clients

Expected Results

The impact on the product—and the business—will be profound. Renewal rates are expected to rise as customers see immediate value. Forecasting models will become smarter, more dynamic, and more precise at the store level. The product team will launch 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

Expected 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