How it works
A quick, guided flow that turns assumptions into a usable segmentation model.
1. Define the ideal customer
Pick the identity, demographic, behavioral, relationship, and revenue attributes that describe your best customers.
2. Set market assumptions
Provide TAM and conversion inputs to ground the synthetic population and revenue expectations.
3. Review segments and tree
Use the results and decision tree views to see which segments are targets and why.
How to use the results
Translate segments into actions that improve revenue outcomes.
Target segments
Prioritize these for campaigns, sales motion, or product nudges—they outperform the baseline objective.
Monitor segments
Track these for shifts in behavior. Small changes may push them into target territory.
Decision tree
Use the tree splits as a narrative for why a segment wins and where to test next.
Synthetic data notice
This experience uses synthetic data to demonstrate how segmentation and decision trees might look in practice. Results are illustrative only and should not be treated as real customer insights or used to make business decisions.
