Case Study: Otten Coffee achieves full marketing transparency and increased ROAS with Windsor.ai

A Windsor.ai Case Study

Preview of the Otten Coffee Case Study

How Otten Coffee Indonesia Optimized Their Performance Marketing With the Help of Windsor.ai

Otten Coffee, an Indonesian e‑commerce leader in coffee founded in 2015, needed full transparency across a complex mix of channels (Google Ads, Facebook, email, retargeting, affiliates and programmatic) because platform-level attribution double‑counted conversions and prevented an “apple‑to‑apple” comparison. To solve this, Otten engaged Windsor.ai and used Windsor.ai’s Attribution Insights and data‑driven attribution to centralize and normalize cross‑channel data.

Windsor.ai connected to all of Otten Coffee’s marketing platforms, pulled customer journeys, applied a data‑driven attribution model and matched attributed conversions to channel spend, with visualized journeys and prioritized optimization recommendations. As a result, Windsor.ai gave Otten full transparency by channel, increased return on ad spend significantly, helped save large sums by cutting unprofitable campaigns and vendors, and enabled granular optimization (e.g., showing RTB House with 29.03 attributed conversions vs 22 last‑touch conversions).


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Otten Coffee

Jhoni Kusno

Chief Executive Officer


Windsor.ai

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