Overview
The Storefront Performance Score is a machine-learning estimate of how much your unit is likely to sell per hour at a specific storefront reservation. The model learns from past storefront sales and blends dozens of signals into one easy-to-read number, so you can compare locations at a glance.
Key things it considers:
Store history — how that storefront (and similar ones nearby) performed in prior years.
Your unit's track record — past sales, scouts per shift, and $/scout/hour.
Local area traits — population, income levels, household composition, education, and other neighborhood signals.
Reservation timing — date, start/end time, weekday vs. weekend, holiday timing, and days into the season.
Location fit — distance from your unit to the storefront and estimated foot traffic during the reservation.
A higher score means a stronger expected hourly performance for your unit at that storefront. It's a prediction, not a guarantee, but it helps you pick shifts with more confidence.
Where to find it
Go to Storefronts
Select Add Reservation
You'll see a list of available reservations. The Storefront Performance Score appears as one of the columns