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Smyrna staff propose Placer.ai analytics platform to measure event attendance, retail draw and economic impact
Summary
Staff presented a contract proposal for a Placer.ai (Placer Labs) analytics platform to estimate event attendance, visitor origin and economic impact using anonymized mobile-location datasets; presenters said data are aggregated and stripped of personal identifiers and that the product is a SaaS offering with historical data back to about 2018.
Town staff presented terms for adopting a location-analytics platform (Placer.ai/Placer Labs) to provide event attendance and economic-impact analysis, and described how the platform would be used across departments.
A staff presenter said the platform uses anonymized, aggregated mobile-app location data to estimate foot traffic, visitor origin and likely economic impacts for events and commercial areas. "The information that's already been stripped out of any personal information," the presenter said, describing the vendor’s data‑handling practices. Staff said the platform is a software‑as‑a‑service product with near‑real‑time data (generally four days behind) and historical coverage extending back to roughly 2018.
Uses and value: presenters described applications for parks and events, economic-development comparisons, marketing, and traffic/ingress planning for large events. Examples included retrospective heat maps for the air‑show and the event center that showed visitor origins as far away as Knoxville and Tullahoma and the ability to estimate whether events generate subsequent visits to restaurants and retail. Presenters also discussed a use case to analyze potential retail or housing projects ("cannibalization" of existing businesses) using comparable trade areas.
Privacy and operation: staff said the vendor provides aggregated, de-identified datasets and that users can opt out at the app level. The product was described as not collecting town residents’ personal data directly, and staff said the company strips personal identifiers before providing analytics.
Implementation and access: staff said multiple town departments would be authorized users (parks, economic development, police/ITS, planning and others) and that training and cross-department collaboration were planned. Staff suggested scheduling a council workshop/demonstration to familiarize elected officials with the platform’s capabilities before authorizing an agreement.
Questions and procurement: council members asked about authorized‑user counts, data freshness and institutional knowledge for interpreting the results. Staff said they would present a final contract and a plan for training and authorized users to council for formal action. No contract authorization or vote occurred at the workshop.
Ending: Staff recommended a demonstration to the full council and proposed cross‑department training before executing any contract.
