- Audience
- US English iPhone visitors interested in flexible activity tracking, segmented by compatible wearable access and previous fitness-app use.
- Control
- The current cycling opener after health claims and input requirements are reviewed and corrected consistently across variants.
- Treatment
- Replace only frame one with a verified rest-day suggestion and actual user choices. Preserve the remaining creative, metadata and offer.
- Method
- Verify the current suggestion, adjustment and input requirements first. Run randomized comprehension research, followed by eligible App Store product page optimization.
- Primary measure
- Correct understanding that rest can fit the activity approach; platform-reported download conversion is the storefront measure.
- Guardrails
- No increased belief that the app diagnoses illness, guarantees safe exercise or replaces clinical advice. Do not prescribe sample effort or sleep values as personal targets.
- Decision rule
- Predefine a useful comprehension effect, required sample and qualified-conversion tolerance using baseline data. Reject a variant that increases medical overinterpretation even if downloads rise; retain control if inconclusive.
- What could muddy the result
- Wearable ownership, previous training habits, product updates, seasonal exercise patterns and familiarity with rest-aware tracking can affect response.