Measuring Foot Traffic from Influencer Campaigns
Online attribution is hard. Offline attribution is harder. Here's the practical stack.
The hardest measurement problem in local influencer marketing: did the post drive someone to actually walk into the store? Here's what works.
The triangulation stack
Promo codes redeemed in-store. Unique per creator. POS captures redemption. Direct attribution.
"How did you hear about us?" at checkout. Structured intake, asked by staff or via a kiosk. Captures the viewers who didn't use codes.
Foot traffic anomaly detection. Compare daily walk-in counts to a 90-day baseline, layered on creator posting calendar. Spikes correlate.
Google review mention analysis. New reviews mentioning the creator's handle, the post, or the city campaign. Slow signal but credible.
Branded search lift. Google Trends for your brand + location, mapped to creator activity calendar.
What not to rely on
Geo-fenced mobile attribution. Theoretically possible, practically opaque and expensive for the precision you get.
Reporting cadence
Weekly: promo code redemptions by creator, foot traffic vs. baseline, and any review/social mentions.
Monthly: blended creator-attributed revenue rolled up, comparison vs. paid channels.
Quarterly: incrementality test (matched-market or holdout) on top campaigns to validate the directional reads.
The honest take
You will never have perfect attribution on local creator campaigns. The brands winning at this aren't waiting for perfect data — they're triangulating with three imperfect signals and trusting the convergence.
Need help putting this into practice?
We build operated creator programs for brands serious about creator marketing.