Snap Fitness vs Planet Fitness: units, growth & AI adoption

What actually separates them

Snap Fitness leads Planet Fitness by 5 points overall (54 vs 49), and the gap is concentrated rather than spread. The widest single divergence is operations AI, where Snap Fitness is 13 points ahead.

Operations AI carries the heaviest weight in the score at 35%, because it is the pillar most tied to unit economics and the hardest to claim without deploying.

Scale does not explain the gap

Planet Fitness is the larger system (2,896 against 1,000+) and the lower-scoring one. This inversion is common in our Index and it is the clearest evidence that unit count does not produce AI maturity.

Systems that grew through decentralized, franchisee-owned technology stacks accumulated fragmented data, and every additional unit made consolidation harder rather than easier. Scale becomes an advantage only after a common data layer exists — and an obstacle before it does.

Sector context

Both compete in Fitness / Wellness, which averages 59/100 across the 4 systems we track in it, against an industry average of 63. Neither sits above that sector average.

Same-sector comparison is the one that carries real weight. These two are competing for the same operators and the same customers, so a durable capability gap between them is a competitive fact rather than a statistical curiosity.

What this comparison does not tell you

Snap Fitness ranks #39 and Planet Fitness #48 of the 53 systems in the Index. That ordering describes depth of AI deployment and nothing else.

We publish no correlation between AI score and franchisee profitability, because no verified dataset supports one. Unit economics, franchisee satisfaction, territory terms and the disclosure document decide a franchise purchase; AI maturity is a tiebreaker between otherwise comparable options.

Scores describe system-level capability. What reaches any individual unit depends on that system's rollout, and in large networks the variation between units is wide.