Customer intelligence gaps quietly drain retail growth because businesses cannot identify which in-store shoppers are most likely to deepen engagement across channels and increase long-term value.
Customer intelligence gaps quietly drain retail growth because businesses cannot identify which in-store shoppers are most likely to deepen engagement across channels and increase long-term value.
One of the largest US retailers, operating nearly 5,000 stores and serving roughly 240M weekly customers, built an omnichannel lookalike modelling system using 200+ behavioural variables to identify high-potential shoppers, enabling targeted adoption campaigns.
The modelling system surfaced nearly 1.7M likely omnichannel customers, giving the business a clear priority list for targeted engagement campaigns across digital and in-store channels.
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