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Dormant Detection

ArborBuddy scans your completed job history to flag clients who have gone quiet. Each detection includes a reason (the detector that fired), a confidence score, and a dormant value estimate — how much revenue you’ve left on the table since they last booked.

The three detectors

Section titled “The three detectors”
DetectorWhat it catches
No ContactNo completed job in 12+ months. Your biggest pool of recoverable clients.
Price ErosionClient whose average job value has dropped 30%+ vs their history. Often means they downsized scope or found a competitor for the bigger work.
Seasonal LapseA previously annual or biannual client who missed their usual season. Stronger signal for spring-only or storm-season clients.

Detectors run as pure SQL functions — no AI costs, no API calls. They fire on every CSV import or manually via Re-run Detection on the Recovery dashboard.

Dormant value

Section titled “Dormant value”

Each detection shows an estimated dormant value — the sum of estimated hours since last service × $150/hr. This is a proxy (your actual margins may differ), but it gives a quick sense of who’s worth calling first.

Values are stacked into a total recoverable revenue banner at the top of the dashboard. With a free scan, you see the total but not the individual rows.

Confidence scoring

Section titled “Confidence scoring”
Score bandMeaning
High (80%+)Clear signal — long gap, price drop, or clear seasonal miss
Medium (50–79%)Probable — some signal but data is sparse or borderline
Low (<50%)Possible — weak signal, may be a false positive

Low-confidence detections are still surfaced with a warning badge. Dismiss any detection you disagree with — it stays hidden unless you re-run detection.

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