Case Study: Large Retailer achieves higher app migration installs with Tredence

A Tredence Case Study

Preview of the Large Retailer Case Study

Forecasting App Installs for a Large Retailer in the US

Large Retailer, working with Tredence, was preparing to launch a new stand-alone app that would combine multiple business channels. The marketing team needed a reliable forecast of how many users would install the new app so they could plan migration efforts, set goals, and budget effectively for FY21.

Tredence built a forecasting approach across three channels: organic, owned, and paid. Using FB Prophet for organic installs, a Markov model to estimate owned installs, and regression analysis to link paid installs to marketing spend, Tredence helped the retailer better plan app migration. The result was a 30% increase in marketing efforts to support the successful migration of existing app users to the new app portal.


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