Customer Knowledge Solutions

Customer Segmentation

Key Concept

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Segment non-member behavior

Basket-level (shopping missions), store-level (store profile analysis)

Impact

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Customize promotions by store/basket segments

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Improve existing segments with clustering algorithms & new features

Explore different segment types (product, shopping missions, store, CLV, cohort, etc.)

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Optimize member segment similarity with clustering

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Better member segment lead to more effective A/B Tests

Customer Lifetime Value

Key Concept

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Create daily historical+predicted CLV

Use historical CLV trend to predict future

Impact

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More flexible tracking of CLV that represents current trends

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Quantify key factors that drive CLV

Utilize regression analysis to quantify the impact of each factor (products and promotion type)

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Actionable focus areas to improve LT customer value

Churn Prediction

Key Concept

Impact

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Quantify % probability of member churn

Need to agree on churn business logic

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Combine with CLV to focus the budget on retaining high value.

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Identify key factors that prevent churn

Utilize regression analysis to quantify the impact of each factor (products and promotion type)

Have a project in mind?

Collaborate together through potential teamwork

to find the best solution for your business