The category economics
Average procedure economics in regenerative medicine — $4,000 to $30,000 per treatment course, often cash-pay — make patient acquisition cost the primary lever on margin. A clinic acquiring patients at $1,200 CAC against a $12,000 average LTV is in a different business from one acquiring at $3,800 CAC. Probability-targeted acquisition is the most reliable mechanism to compress the spread.
Signal classes that matter
For regenerative consideration, the most predictive signals are: condition-specific search and content engagement (within an active decision window), wellness-vertical co-consideration (hormone optimization, longevity), high household income or self-pay indicators, and prior elective procedure history where licensed. Behavioral half-life in this category is 14–28 days — longer than consumer travel, shorter than B2B SaaS.
Compliance posture
Regenerative medicine intelligence is non-PHI: we transact on consented behavioral, search, and household signals — not on patient records. PHI integration is supported under BAA when needed for downstream workflow (intake automation), but is never required for the predictive product itself.
Operating model
Clinics typically deploy predictive intelligence in three phases: (1) audience replacement — substituting probability-targeted cohorts for broad-match list buys, (2) channel reallocation — redirecting media to channels with the highest probability cohort density, and (3) retention layering — applying predictive scoring to follow-up sequences for non-converted prospects.
Signal half-life — production model
Predictive cohort vs. cold list
Citations
- · Centers for Disease Control — National Health Interview Survey, longitudinal procedure consideration data.
- · Liniger, T. — Hawkes processes for behavioral signal modeling, 2009.