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Retail · Workflow
Customer segmentation and personalization
This workflow automatically segments customers based on purchase behavior and generates personalized marketing campaigns and product recommendations to increase customer lifetime value and conversion rates.
Workflow Trigger
Daily batch process runs at 6 AM to analyze updated customer transaction data
Visual Flow
Each node represents an automated step. Connections show how data and decisions move through the workflow.
Step-by-Step Breakdown
Detailed explanation of each automated stage in the workflow.
- 1Trigger
Initiate Daily Customer Analysis
Scheduled trigger runs daily to begin customer segmentation process using the latest transaction data. This ensures segments remain current with recent purchasing behaviors.
- 2Action
Extract Customer Purchase Data
Retrieves all customer transaction history, product purchases, and engagement metrics from the POS system. Data includes purchase frequency, average order value, product categories, and recency of purchases.
- 3Action
Calculate Customer Behavioral Metrics
Processes raw transaction data to compute RFM scores (Recency, Frequency, Monetary), customer lifetime value, and product affinity scores. These metrics form the foundation for segmentation algorithms.
- 4Decision
Classify Customer Segments
Uses calculated metrics to automatically assign customers to predefined segments like VIP customers, at-risk customers, frequent buyers, or new customers. Decision branches determine different treatment paths for each segment.
- 5Action
Generate Personalized Product Recommendations
Creates tailored product suggestions for each customer segment based on purchase history, seasonal trends, and inventory availability. Recommendations are optimized for cross-selling and upselling opportunities.
- 6Action
Create Targeted Marketing Campaigns
Develops segment-specific promotional campaigns, discount offers, and email marketing content. Campaign messaging and offers are customized based on each segment's behavioral patterns and preferences.
- 7Output
Deploy Personalized Customer Experiences
Activates personalized recommendations in POS systems and triggers automated marketing campaigns. Updates customer profiles with new segment classifications and recommended actions for sales staff.
Outputs
- Customer segment classifications and profiles
- Personalized product recommendation lists
- Targeted marketing campaigns and promotional offers
Key Metrics
- Customer lifetime value increase
- Conversion rate by segment
- Average order value improvement
Tools & Integrations
OA
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