Gym Membership Churn
Evidence note: Industry churn stats vary widely by segment and business model; the strongest evidence is behavior-level field data on attendance vs contract choice.
Key Result (field data): Members forecast ~9.5 monthly visits but average ~4.2; flat-fee members effectively pay >$17/visit despite a pay-per-visit option.
Case snapshot (schema)
context: "Gym memberships often fail because they sell aspirational identity while ignoring capability and context barriers to consistent workouts."
company: "Industry-wide"
industry: "Fitness"
confidence: "working"
population: "New gym members (especially beginners)"
target_behavior: "Attend the gym 3–5×/week"
constraints:
- "Identity: aspirational for many, but not yet internalized."
- "Capability: low for beginners (pain, fatigue, uncertainty); routines are non‑trivial."
- "Context: weak when schedules, commute, childcare, or social discomfort block recurrence."
measurement:
denominator: "gym members (contract/attendance field data)"
window: "3 years (member-level panel)"
metrics:
key_metric: "Members forecast ~9.5 monthly visits but average ~4.2; flat-fee members effectively pay >$17/visit despite a pay-per-visit option."
results: "Gym memberships often fail because they sell aspirational identity while ignoring capability and context barriers to consistent workouts."
limitations:
- "Patterns vary by chain and contract design; do not generalize exact numbers across all gyms."
sources:
- "See Sources section"
evidence_ids:
- BS-0060
Summary
Gym memberships are a canonical “aspiration trap”: people buy an identity (“I’m a gym person now”) without validating that the required behaviors fit their actual lives.
The Behavioral Strategy lesson: selling identity without validating capability and context creates predictable churn.
Target behavior (operational)
- Population: New gym members (especially beginners)
- Behavior: Attend the gym 3–5×/week
- Context: (see case narrative)
- Window: weekly (repeatable cadence)
Constraints (behavioral)
- Identity: aspirational for many, but not yet internalized.
- Capability: low for beginners (pain, fatigue, uncertainty); routines are non‑trivial.
- Context: weak when schedules, commute, childcare, or social discomfort block recurrence.
Fit narrative (Problem → Behavior → Solution → Product)
- Problem Market Fit: Many people want better health and fitness.
- Behavior Market Fit: “Go to the gym multiple times per week” often fails for the median buyer because it requires time blocks, commute, and social comfort.
- Solution Market Fit: Access alone doesn’t enable the behavior; many gyms profit precisely because the behavior doesn’t occur.
- Product Market Fit: High early churn is structural when the behavior is misfit.
Behavior Fit Assessment (example)
Target behavior: “Attend the gym 3–5×/week.”
- Identity Fit: aspirational for many, but not yet internalized.
- Capability Fit: low for beginners (pain, fatigue, uncertainty); routines are non‑trivial.
- Context Fit: weak when schedules, commute, childcare, or social discomfort block recurrence.
What this illustrates
- Aspirational identity ≠ behavior fit. If a product requires “future self” behaviors, retention will be brittle.
- The real strategic question is: what behavior already fits and can be scaffolded upward?
Measurement (window/denominator stated)
- Window: 3 years (member-level panel)
- Denominator: gym members in contract/attendance field data
- Field evidence: large overestimation of future attendance and delayed cancellation are common.
Results
- Outcome: Gym memberships often fail because they sell aspirational identity while ignoring capability and context barriers to consistent workouts.
Limitations and confounders
- Metrics may be company- or press-reported; isolate the target behavior and window where possible.
- Effects are context-dependent; avoid generalizing beyond the population and constraints described.
Sources
- Paying Not to Go to the Gym (DellaVigna & Malmendier, 2006)
- Planet Fitness’s business model targets people who don’t go (Sherwood News)
- Evidence Ledger: