Forecasting and Incrementality for a top 5 retailer

Digital analytics for ~4,000 feature releases annually on the website

+22% Accuracy

4 weeks saved

>90% Stat Sig

Predictions and Forecasting

Retail Analytics

A Top 5 retailer requires digital analytics for 4000 feature releases annually.

Their analysts would require 8 weeks to provide analytics on the impact created by a website feature release. These were manually computed, based on just a differential between impressions and conversions. The FS incrementality computation included seasonality, attribution, and statistical significance. Business users could gain instant insights through a conversational interface. Additionally, forecasts were generated with a 22% uplift compared to internal accuracies for all product conversions to detect anomalies after a release.

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