Psychographic Segmentation Form
Score each psychographic variable on a 0 to 10 scale, then add business assumptions to estimate segment potential and campaign value.
Formula Used
- Weighted Segment Score: Segment Score = (Σ Dimension × Weight ÷ 10) × 100.
- Reverse Variables: Some segments reward lower price sensitivity or lower status need, so the tool uses inverse values such as 10 − Price Sensitivity.
- Primary Segment: The highest weighted score becomes the recommended psychographic segment.
- Confidence Level: Confidence grows as the gap between the first and second segment scores increases.
- Estimated Customers: Audience Size × Conversion Rate × Primary Segment Score.
- Projected Revenue: Estimated Customers × Average Order Value.
- Projected Margin: Projected Revenue − (Estimated Customers × Acquisition Cost).
- Indexes: Engagement, practicality, and values indexes summarize related psychographic dimensions on a 0–100 scale.
How to Use This Tool
- Enter a persona or audience cluster name.
- Score each psychographic variable from 0 to 10 using survey data, interviews, CRM observations, or campaign research.
- Add business assumptions such as audience size, conversion rate, average order value, and acquisition cost.
- Submit the form to see the top segment, secondary segment, score confidence, channel advice, and projected value.
- Review the Plotly charts to compare segment fit and dimension shape visually.
- Download the results as CSV for spreadsheets or PDF for reports and client sharing.
- Test multiple persona profiles to compare messaging strategies across campaign audiences.
Example Data Table
| Audience | Innovation | Price | Loyalty | Quality | Social | Convenience | Sustainability | Status | Adventure | Top Segment |
|---|---|---|---|---|---|---|---|---|---|---|
| Urban Trend Hunter | 8.7 | 3.2 | 6.4 | 7.8 | 6.9 | 5.2 | 5.5 | 8.6 | 8.4 | Aspirational Explorer |
| Budget Family Planner | 4.6 | 8.7 | 7.5 | 7.1 | 3.1 | 8.3 | 4.9 | 2.8 | 3.7 | Value-Driven Planner |
| Routine Reorder Buyer | 4.9 | 6.2 | 8.8 | 7.6 | 4.8 | 9.0 | 6.1 | 3.9 | 3.8 | Loyal Convenience Seeker |
| Ethical Community Shopper | 6.4 | 4.4 | 7.3 | 8.1 | 6.3 | 6.5 | 9.4 | 3.0 | 5.1 | Purpose-Led Advocate |
| Luxury Social Tastemaker | 7.1 | 2.5 | 6.6 | 8.9 | 9.0 | 5.7 | 4.3 | 9.2 | 6.8 | Prestige Socializer |
Use these example profiles to validate your scoring logic before analyzing real campaign respondents.
Frequently Asked Questions
- 1. What does this tool measure? It translates audience attitudes, values, and buying motives into practical marketing segments. The result helps you prioritize offers, creative angles, and channels for stronger targeting.
- 2. Is this tool only for survey data? No. You can score audiences using interviews, CRM notes, purchase behavior, campaign feedback, or workshop estimates. Survey data simply improves consistency.
- 3. Why are some variables reversed? Some segments become stronger when price sensitivity or status desire is lower. Reverse scoring helps the model represent that behavior correctly.
- 4. What does the confidence level mean? Confidence reflects the score gap between the top two segments. A wider gap suggests a clearer persona. A smaller gap suggests blended messaging may work better.
- 5. Can I change the scoring scale? This file uses a 0 to 10 scale for clarity. You can adapt the fields and weights if your internal research uses 1 to 5 or percentage scales.
- 6. How should I use the projected revenue estimate? Treat it as a planning estimate, not a forecast guarantee. It combines your business assumptions with segment fit to compare audience opportunities.
- 7. How many segments are included? This version scores five strategic segments. You can add more segment definitions or modify the weights to match your brand framework.
- 8. Can I use this for B2B marketing? Yes. Replace consumer-focused labels with business motives such as efficiency, risk aversion, innovation readiness, or procurement sensitivity, then adjust the weights.