Mu Sigma
72 Case Studies
A Mu Sigma Case Study
Mu Sigma worked with a Fortune 500 CPG company that wanted to engage consumers more meaningfully through highly personalized emails. The customer lacked a decision engine to recommend relevant content and was struggling with generic campaigns, inconsistent email experiences, low engagement, and email fatigue across channels.
Mu Sigma designed an omnichannel data pipeline and built machine-learning models for buyer behavior, shopping propensity, and recency of category preference to power hyper-personalized dynamic emails. The solution expanded the target audience to include both buyers and non-buyers and reduced opt-outs by 4 percentage points for an 18M-consumer base during the campaign period, while doubling the number of targeted consumers.
Fortune 500 CPG Company