Case Study: Betty Bossi achieves 16% improvement in marketing ROI with Windsor.ai Attribution Insights

A Windsor.ai Case Study

Preview of the Betty Bossi Case Study

How Windsor.ai Amplifies an Iconic Swiss Business's Marketing Efforts

Betty Bossi, a leading Swiss culinary brand with strong online sales and a wide mix of channels (Google AdWords, Facebook, email, print and a high-traffic website), needed to move beyond last-click attribution to get unbiased, multi-channel ROI and customer-journey insights. They engaged Windsor.ai and its Attribution Insights solution to act as an agency- and media-independent data-science partner to integrate disparate marketing data and produce actionable analysis.

Windsor.ai implemented its Attribution Insights, using a Markov-model approach to stitch together online and offline campaign data with no technical resources required from Betty Bossi, and surfaced surprising findings such as the high long-term value of AdWords Branding campaigns. The work delivered clear, measurable impact — a 16% improvement in overall marketing ROI, elimination of unprofitable campaigns, and quantified customer-journey insights to guide future marketing strategy.


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