Overview
Foot Traffic Analytics (FTA) gives marketers near real-time visibility into how media campaigns drive in-store visits. Built for both single-store SMBs and national chains, FTA uses Placer.ai location intelligence and aligns it with AdSultans impression delivery so you can see incremental lift in visits attributable to your advertising.
Key Features
Retail Footfall Measurement: Quantifies incremental visits to selected locations during and after a campaign flight.
Integrated Reporting: KPIs and visualizations available directly in the AdSultans UI after setup.
Enterprise-Grade Coverage: Configure for a single address or multi-region footprints.
Client Setup
Submit a request to the AdSultans Support alias with:
Business name
Postal address of each target location
Client / Advertiser / Campaign names
Timing & Cadence
Submit setup ≥14 days before campaign launch.
Expect an initial provisioning period of about 2 weeks before first data appears.
Ongoing reporting lands weekly on Thursdays for the prior Mon–Sun window.
Eligibility
Locations must have ≥500 unique monthly visitors to qualify.
Monthly Impression budget of 200,000 Impressions or a total of 600,000 impressions or more for the campaign.
Pricing
FTA add-on: Check your MSA and Rate card
Notes & Expectations
Enablement: FTA must be enabled before campaign activation.
Latency: Data is not real-time; aggregation and vendor processing introduce a minimum ~7-day latency from location approval.
Low-traffic Locations: Sites below the visitor threshold may not yield usable data.
Measuring Incremental Visits (Placer.ai + AdSultans Impression Data)
Raw Visits: Placer.ai provides visit counts to your physical locations.
Alignment: AdSultans aligns those visits with impression logs.
Before vs. After: Compare prior-period visits (before media) to post-launch visits (after media starts).
Lift: The difference in visit rate between these groups yields an incremental lift metric attributable to media.
Key Callouts
Directional, not deterministic: Foot traffic measurement is probabilistic and should be used as a directional signal.
Causality: Lift reflects the incremental effect of advertising beyond baseline visitation.
🚫 Privacy-Sensitive, Blocked Categories
Tracking is not available for the following categories to protect consumer privacy and meet regulatory requirements:
Category | Examples | Rationale |
Healthcare Facilities | Hospitals, clinics, urgent care | HIPAA & health-data regulations |
Places of Worship | Churches, mosques, temples | Sensitive religious data (e.g., GDPR) |
Educational Institutions | K-12 schools, childcare centers | COPPA restrictions on minors |
Government Buildings | Police stations, courthouses, embassies | Privacy & national security |
Residential Dwellings | Homes, apartments | Vendor compliance & privacy law |
Correctional Facilities | Prisons, juvenile centers | High-sensitivity populations |
Please reach out to your AdSultans Support Team at [email protected] for any questions.