Feature Coefficients Breakdown
The linear regression model provides coefficient values that indicate how much each feature contributes to the prediction of yearly customer spending.Model Coefficients
| Feature | Coefficient Value | Impact Level |
|---|---|---|
| Length of Membership | ~61.30 | Very High |
| Time on App | ~38.81 | Highest |
| Avg. Session Length | ~25.83 | Moderate |
| Time on Website | ~0.28 | Lowest |
| Intercept | ~-1048.82 | Baseline |
Detailed Feature Analysis
1. Length of Membership (Coefficient: ~61.30)
This is the strongest predictor of customer spending.For every additional year a customer remains a member, the model predicts an increase of approximately $61.30 in yearly spending, holding all other factors constant.
2. Time on App (Coefficient: ~38.81)
The mobile app has the highest impact among engagement metrics.For every additional minute spent on the mobile app, the model predicts an increase of approximately $38.81 in yearly spending.
3. Avg. Session Length (Coefficient: ~25.83)
Session quality matters for revenue.For every additional minute in average session length, the model predicts an increase of approximately $25.83 in yearly spending.
4. Time on Website (Coefficient: ~0.28)
The website has minimal impact on spending. Business Insight: The website in its current state is not driving significant revenue compared to the mobile app.5. Intercept (~-1048.82)
The baseline value when all features are zero. The negative intercept of approximately -$1048.82 represents the model’s baseline. This is a theoretical value that has no practical business meaning, as customers would never have all features at zero.What Drives Customer Spending?
Primary Drivers (High Impact)
-
Customer Loyalty (Length of Membership: $61.30 per year)
- Retention strategies have massive ROI potential
- Long-term customer relationships are highly valuable
-
Mobile App Engagement (Time on App: $38.81 per minute)
- Mobile platform is the strongest engagement driver
- App improvements directly translate to revenue
Secondary Drivers (Moderate Impact)
- Session Quality (Avg. Session Length: $25.83 per minute)
- In-store advice sessions add value
- Quality interactions matter for conversion
Minimal Impact
- Website Engagement (Time on Website: $0.28 per minute)
- Current website contributes minimally to spending
- Significant opportunity for improvement
Coefficient Interpretation Summary
The coefficient values reveal a clear hierarchy of what drives customer spending:These coefficients are based on standardized features and represent the independent contribution of each variable when all others are held constant. The actual business impact depends on how much each feature can realistically be improved.