Case Study: Beethoven boosts email revenue 8.5x with Maestra

Using a Neural Network to Forecast Best Sending Time and Reactivating an Invalid Database

Beethoven, a pet store chain, sought to increase online revenue by improving customer communication and overcoming the limitations of its outdated customer data platform (CDP). To address these challenges, the company switched to a new CDP from the vendor Maestra.

Using Maestra's platform and its Next Best Action neural network algorithm, Beethoven forecast the best time to send emails for repeat purchases and unified its customer database. This solution led to significant results: the company exceeded its target revenue by 30%, grew its valid customer database by 2.5 times, and increased email revenue by 8.5 times.

Beethoven

Andrey Lobur

Lead Marketer