Expert insights on intent data, revenue optimization, and growth strategies for spa operators.
Research-backed insights using statistical modeling and academic research R = 0.741 Statistical model predictive power (p < 0.0000) The Challenge: Why This Matters for Spa Marketing A first-time guest books a $200 massage. Are they a one-time visitor worth $200, or a future VIP worth $5,000 over three years? Your marketing budget doesn’t distinguish—but it […]
Research-backed insights using statistical modeling and academic research R = 0.742 Statistical model predictive power (p < 0.0000) DEEP DIVE An extensive analysis of industry data, academic research, and operational implications for spa properties Deep-Dive Format: This post focuses exclusively on propensity modeling, providing extensive analysis with real industry data, academic research, and statistical modeling. […]
Research-backed insights using statistical modeling and academic research R = 0.758 Statistical model predictive power (p < 0.0000) Insights on intent scoring machine learning from the field Interview Format: This Q&A provides real-world perspectives on intent scoring machine learning, grounded in industry research and benchmarks. The interviewee’s identity is anonymized to protect privacy while sharing […]
Research-backed insights using statistical modeling and academic research R = 0.678 Statistical model predictive power (p < 0.0000) The Challenge: Why This Matters for Spa Marketing Sarah visits your website on her iPhone during lunch. That evening, she browses packages on her iPad. Two days later, her husband checks pricing on his laptop. Your analytics […]
Research-backed insights using statistical modeling and academic research R = 0.675 Statistical model predictive power (p < 0.0000) DEEP DIVE An extensive analysis of industry data, academic research, and operational implications for spa properties Deep-Dive Format: This post focuses exclusively on multi-touch attribution, providing extensive analysis with real industry data, academic research, and statistical modeling. […]
Research-backed insights using statistical modeling and academic research R = 0.720 Statistical model predictive power (p < 0.0000) The Challenge: Why This Matters for Spa Marketing A guest sees your Instagram ad on Monday. Clicks your Google ad on Wednesday. Visits your website directly on Friday. Books on Saturday. Which channel gets credit? Last-click attribution […]
Research-backed insights using statistical modeling and academic research R = 0.741 Statistical model predictive power (p < 0.0000) The Challenge: Why This Matters for Spa Marketing Lookalike audiences based on ‘all past customers’ dilute your best prospects with bargain hunters. A guest who booked a $89 hot stone massage gets the same weight as one […]
Research-backed insights using statistical modeling and academic research R = 0.688 Statistical model predictive power (p < 0.0000) The Problem: Why This Matters for Your Spa Your competitor just dropped their couples package price by 15%. Do you match? Ignore it? Raise prices to signal premium positioning? Without dynamic pricing intelligence, you’re guessing—and every guess […]
Research-backed insights using statistical modeling and academic research R = 0.768 Statistical model predictive power (p < 0.0000) The Problem: Why This Matters for Your Spa RevPAR isn’t just for hotels. A treatment room sitting empty at 2 PM Monday generates $0. That same room at peak Saturday pricing could generate $400. The difference between […]
Guest Journey Mapping: How Elite Spas Personalize at Scale Research-backed insights using statistical modeling and academic research R = 0.785 Statistical model predictive power (p < 0.0000) The Problem: Why This Matters for Your Spa You’re spending $15,000/month on programmatic ads targeting ‘luxury spa enthusiasts.’ But half that audience will never travel more than 50 […]