The best dental practice deals are done off-market — before the practice is publicly listed, when the seller hasn't yet retained a broker, and when you have no competition. Finding these practices requires surfacing retirement signals 6–12 months before an explicit sale decision is made.
DDSIntel's retirement-probability scoring model fuses age signals, license renewal cadence, lease window data, equipment age, and practice tenure into a 0–100 exit score. Practices crossing the high-probability threshold (≥72) are your 6–12 month pre-listing pipeline.
Age estimate, practice tenure, license renewal cadence, lease window, and equipment financing age are combined weekly into a retirement-probability score for every solo U.S. dental practice.
When a practice's score crosses the high-probability threshold (≥72), a retirement signal fires. The alert includes the score, the primary driving factors, and a 6–12 month exit probability estimate.
The family succession classifier confirms no internal successor is likely (shared-surname entity, associate buy-in pattern). Only practices with no detectable succession candidate appear in the high-intent exit feed.
You receive the alert with the full practice profile, retirement score breakdown, contact intelligence where available, and suggested outreach timing to maximize the pre-listing window.
Practices with a score ≥72 have a confirmed listing rate of approximately 28% within 12 months and approximately 51% within 24 months in validated test markets. This is 6–9x the base rate of any random practice listing in the same period. The score is calibrated quarterly against confirmed transaction events in the DDSIntel dataset.
Yes. Filter the retirement signal feed by state, county, metro, specialty, practice size, and score threshold. A typical broker workflow is to run a state-level retirement signal filter at score ≥72 weekly, which surfaces 15–40 new high-probability exit candidates per state per month depending on market maturity.
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