ML Marketing Dashboard

Customer Marketing Intelligence App

Predict customer segment, campaign response probability, and recommended marketing action from customer profile, purchase, and campaign history signals.

For numeric fields, leave the box empty if unknown. For dropdown fields, choose Unknown / Use default. Empty or unknown inputs will be filled with neutral dataset-based defaults.

KMeans Segmentation Tuned Random Forest Campaign Response Probability Business Recommendation

01 Customer Profile

Demographics

Basic customer profile information. Leave numeric fields empty if unknown.

8 fields

Age Default: 44

Income Default: 51381.5

Education Default: Graduation

Marital Status Default: Married

Kids at Home Default: 0

Teens at Home Default: 0

Recency - Days Since Last Purchase Default: 49

Customer Tenure Days Default: 356

02 Monetary Signals

Product Spending

Amount spent by product category. Leave numeric fields empty if unknown.

6 fields

Wine Spending Default: 173

Fruit Spending Default: 8

Meat Product Spending Default: 67

Fish Product Spending Default: 12

Sweet Product Spending Default: 8

Gold Product Spending Default: 24

03 Channel Behavior

Purchase Channels

Purchase behavior across web, catalog, store, and monthly website visits.

4 fields

Web Purchases Default: 4

Catalog Purchases Default: 2

Store Purchases Default: 5

Monthly Web Visits Default: 6

04 Campaign Memory

Previous Campaign History

If campaign history is unknown, leave it as Unknown / Use default.

5 fields

Accepted Campaign 1 Default: No

Accepted Campaign 2 Default: No

Accepted Campaign 3 Default: No

Accepted Campaign 4 Default: No

Accepted Campaign 5 Default: No

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