Case Study: Office Depot generates $6.9M with 1:1 personalization from Monetate

Key results

The challenge

Office Depot serves both business buyers seeking quick, simplified ordering and consumer shoppers who prefer a more engaging experience. Its Product Description Pages had accumulated product information, pricing, promotions, reviews, and related products, leaving them cluttered and hard to navigate. The company found that traditional testing and segmentation were not agile enough to present the right information based on where each customer was in the buying cycle.

The solution

Office Depot adopted Monetate's Intelligent Personalization Engine, which uses machine learning to evaluate the data available for each visitor and determine the best content to present to that person. The capability was applied to dynamically tailor Product Description Page content to each shopper's stage in the buying process.

The results, in context

In approximately four months, Office Depot saw an increase of nearly $6.9M in revenue as a direct result of Monetate's 1:1 machine learning capabilities. The company attributed the gain to revenue it otherwise could not have captured.

Products used