Case Study: a Fortune 1000 consumer goods firm optimizes e-commerce promotions with Decision Analyst econometric modeling

Fortune 1000 Firm optimizes e-commerce promotions with Decision Analyst using 104 weeks of data

The customer, a fortune 1000 firm in the consumer goods sector, faced the challenge of optimizing its e-commerce promotional strategy for a major retailer. To provide data-driven recommendations, the firm engaged Decision Analyst and its Predictive Analytic Services to analyze the impact of various promotions and media placements on sales.

Decision Analyst constructed an analytical database and applied advanced econometric modeling to the sales data. The solution quantified the ROI of different promotion types, identified the most effective placements on the homepage and in emails, and measured the impact of competitor actions. This analysis enabled the fortune 1000 firm to determine an optimal e-commerce promotion strategy based on the findings from Decision Analyst.