Brighton had long incorporated product recommendations into its email strategy. However, these were primarily built through manual selection, typically based on best sellers or category-focused merchandising.
While this approach helped, it wasn’t powered by real-time intelligence or behavioral data at scale. As a result, recommendations couldn’t fully adapt to each customer’s unique preferences or in-session behavior. The result was an email channel that, despite consistent execution, wasn’t delivering on its full revenue potential.
At the same time, the team was operating under tight timelines. Emails often needed to be prepared quickly, leaving limited room for manual curation or more advanced setup.
This created a clear gap: Brighton needed a way to move faster while delivering more relevant, individualized product recommendations, aligned with each shopper’s interests and intent, to ultimately improve engagement and conversion.