Industry-Calibrated Weights Improve Correlation by 35%.
Show Your Clients The Data.
Using leave-one-out cross-validation, 68% of companies in our study showed improved correlation when using industry-derived pillar weights. That's data you can put in client reports.
Absolute correlation change with calibration
34 of 50 companies showed better correlation
Across 4 industries + creator economy
Sportswear, SaaS, E-commerce, Disruption
Agency-Specific Data & Tools
Interactive visualizations for multi-client management
Multi-Client Portfolio View
Each client gets appropriate lag window based on business model
Industry-Calibrated Weight Improvement
Leave-one-out cross-validation shows +0.35 avg improvement
Using LOOCV with industry-derived pillar weights, 34 out of 50 companies showed improved correlation. Average improvement: +0.35 absolute correlation change. p<0.001.
Correlation By Brand Tier
Use these benchmarks to set client expectations
What This Data Means For Your Agency
Data-Backed Client Reports
Tell clients: “Based on validation of 50 companies, your PRISM Score correlates with next-year revenue 68% of the time.” That's proof, not promises.
Tier-Appropriate Benchmarks
Challenger brands show r=0.467 avg correlation stronger than mega brands at r=0.423. Use tier-specific benchmarks to set realistic expectations per client.
Client-Specific Lag Windows
DTC clients: 6-12 month lag. Wholesale: 18-24 months. B2B SaaS: test 6-12 months. Each client gets the attribution window that actually makes sense for their business.
Industry-Calibrated Analysis
LOOCV-derived weights (P: 26%, R: 15%, I: 31%, S: 7%, M: 21%) improved correlation for 68% of companies. Your analytics get smarter as you add more clients.