CASE STUDIES

Forecasting of App installation of a Retailer client

SUMMARY

One of the clients was planning to merge different channels of the business by launching an app. But the marketing team was not able to estimate the optimum marketing efforts needed to accelerate the installation rates. Our solution forecasted the installations and thus helped the client in budget allocation for the marketing campaigns.

METHODOLOGY

• Established relationship between marketing expenditures and marketing efforts using various ML algorithms

• Forecasted the number of installations with the allocated budget

TAKE AWAYS

• The forecasted measure helped the client to understand the new activities of the app or even any dip in installations

• Helped in budget allocation for the marketing purposes

END RESULTS

Successfully improved the rates of installation due to enhanced marketing efforts.