Build customer segmentation models from raw customer data in seconds using an agentic system.
Describe your business in one line, upload CSV/XLSX/XLS, and let three agents handle analysis, segmentation, and strategic prioritization.
Experience flow
How this run turns data into action
Three compact steps from analysis to execution priorities.
Analysis
Step 1Schema inference, quality confidence scoring, and practical model setup.
Segmentation Grid
Step 2Recency × Frequency 9-grid with Monetary as an intensity modifier.
Priority Strategy
Step 3Ranks where to act now and outputs campaign-ready moves with KPIs.
Agentic workflow
Your segmentation intelligence is being built
Agent 1
Analyst Agent
Understanding your customer data
Waiting for data source.
Agent 2
Grid Agent
Building the 9-cell segmentation matrix
Will classify customers by recency and frequency, then overlay monetary intensity.
Agent 3
Strategy Agent
Prioritizing actions and writing the plan
Will rank segment actions by impact, urgency, ease, and response likelihood.
Data snapshot
Upload CSV/XLSX or click Try Demo Case to populate a live sample preview.
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Expected columns often include customer_id, order_id, order_date, and revenue.