
"Taptap Digital, a global area-based marketing platform powered by location intelligence has announced the launch of Retail Origins, a solution allowing brands to identify aggregated home and work origin areas for store visitors alongside areas where they share visitors with their competitors, all powered by consented and anonymised mobility data. Aimed at bricks-and-mortar mass market retailers with high visitation frequency like grocery and QSR brands, Retail Origins enables more informed planning, activation and reporting for retail campaigns using deterministic mobility data that maximises the effectiveness and efficiency of omnichannel campaigns."
"Catchment areas: Rather than proximity or drive-time analysis for store visitation, mobility data is analysed to determine actual visitor origin areas which define a store's true catchment to drive retention and loyalty. Competitive areas: identify origin areas where visitors are shared with competitors, pointing to where share is at risk or where there is an opportunity to steal share. First-party data integration: onboard business data like loyalty schemes or app installs, to help prioritise areas for even more accurate activations."
""Through advanced technology and innovation, we are now able to acquire a level of intelligence that was previously impossible. By combining visitor data with mobility insights that reveal behavioral patterns and brand affinities, payments and purchase behavior data as well as digital interests and contextual signals from what happens at the point of sale or within the home, Retail Origins enables brands to design truly consumer-centric retail strategies and deliver omnichannel campaigns that connect with the right people, in the right pl"
Retail Origins maps aggregated home and work origin areas for store visitors using consented and anonymised mobility data to identify true catchments and competitor overlap. The solution targets high-frequency brick-and-mortar retailers such as grocery and QSR brands to improve planning, activation and reporting for retail campaigns. It replaces proximity or drive-time assumptions with actual visitor-origin analysis to drive retention and loyalty, highlights shared-origin competitive areas to reveal at-risk or opportunistic markets, and supports first-party data integration like loyalty or app-install data to prioritise and refine activations for more effective omnichannel campaigns.
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