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Individual AI skill · AI for Gyms

retention-predictor

Predicts which gym members are at risk of cancelling within 30-90 days using behavioral signals, engagement scoring, and tenure data. Use for proactive retention campaigns, pre-call briefing for cancellation conversations, and post-peak-season churn mitigation.

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When to use it

  • Weekly proactive review — Run the risk report every Monday morning before the billing date and assign outreach to staff within 2 hours
  • Pre-call briefing — A member calls to cancel; pull their risk score and recommended save offer before picking up the phone
  • Post-price-increase window — After any membership price change, run a targeted risk report for the affected membership tiers
  • Seasonal campaigns — Schedule a retention push in weeks 1-2 of January and September targeting members flagged medium-risk or above
  • New member 60-day check-in — Flag any member who hasn't attended a class or visited in the first 60 days as an early churn risk
  • Instructor handoff — When a PT client stops attending, alert the membership manager before the relationship fully lapses

Mistakes to avoid

  1. Using the score as a replacement for conversation — The risk score is a briefing tool, not a decision. Always speak with the member; the score tells you where to probe, not what to decide for them.
  2. Offering discounts to results-frustrated members — This is the most common error. A frustrated member doesn't want a cheaper gym; they want to understand what they're doing wrong. A PT session is the right offer, not a price reduction.
  3. Outreach without a specific commitment — "Come back when you're ready" is not a save. Every save offer must include a specific date, time, and action: "Book a free PT assessment for Tuesday at 18:00 — I'll hold the slot for you."
  4. Missing the 14-day window — By the time a member calls to cancel, psychological commitment to leaving is already high. The 14-day no-visit mark is the real intervention point, not the cancellation call.
  5. Not tracking save outcomes — If you don't follow up 30 days after a save offer to confirm the member is still active, you have no feedback loop. Save rate is the most important operational metric for retention.
  6. Treating all locations the same — A member at a busy downtown gym has different disengagement patterns than one at a residential location. Segment your risk models by location.

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AI for Gyms

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skills/verticals/gyms/skills/retention-predictor
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Extracted from SKILL.md
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