Canonical Empirical Benchmark · 611,903 Bookings
Recurring familiarity is associated with materially different member trajectories.
Across 52 continuous weeks and 24,909 audited members, members with higher network connectivity consistently display lower sustained inactivity and higher long-term survival, even when controlling for identical baseline attendance histories.
Inspect Controlled Evidence →DATASET DELINEATION · AUDIT VS. BENCHMARK
Evidence Number Clarification: SYNQ maintains two distinct historical datasets: (1) The Phase 0 Single-Venue Pilot Audit (22,047 attended bookings, 2,822 active members) which established unit-economic proof of concept (2.4× volume, 1.9× secondary spend, 2.91× absence drift); and (2) The Canonical Multi-Site Longitudinal Benchmark presented on this page (611,903 attended bookings, 24,909 members, 51,957 sessions across 52 continuous weeks) used for longitudinal network graph reconstruction, balanced visit matching, and Day-30 landmark survival analysis.
The Analytical Metric
What is Social Density?
Standard gym management systems record only individual transactions (who checked in, at what time, in what studio). They are blind to whether that session placed the member among familiar faces or total strangers. Social density renders this relational structure visible.
Same Attendance, Different Outcomes
- 3 to 6 baseline visits: 27.5% inactivity for lower connectivity vs 22.4% for higher connectivity (a 5.1 percentage point separation).
- 7 to 12 baseline visits: 18.9% inactivity for lower connectivity vs 12.3% for higher connectivity (a 6.6 percentage point separation).
This comparison balances historical attendance frequency between cohorts. While observational matching reduces confounding from baseline motivation, SYNQ does not claim this difference is an established causal effect of an intervention until prospective trials conclude.
| Baseline Visit Cohort | Network Connectivity Tier | Subsequent 90-Day Inactivity | Percentage Point Difference | Evidence Classification |
|---|---|---|---|---|
| 3–6 Visits | Lower Connectivity | 27.5% | -5.1 pp | Adjusted |
| Higher Connectivity | 22.4% | |||
| 7–12 Visits | Lower Connectivity | 18.9% | -6.6 pp | Adjusted |
| Higher Connectivity | 12.3% |
The Day-30 Landmark Survival Separation
- Members with 6+ persistent ties at Day 30 recorded 45.7% active status at 12 months.
- Members with zero persistent ties recorded only 23.0% active status at 12 months.
This metric is labeled strictly as an observational association. It confirms that the emergence of stable relational ties is a powerful structural indicator of habit formation, informing where routing algorithms can focus support.
| Day-30 Persistent Ties | Share of Cohort | 12-Month Active Status | Relative Survival Rate | Classification |
|---|---|---|---|---|
| 6+ Persistent Ties | 41.2% | 45.7% | 1.99× | Observed Historical |
| 1–5 Emerging Ties | 44.8% | 33.8% | 1.47× | Observed Historical |
| 0 Persistent Ties | 14.0% | 23.0% | Baseline (1.0×) | Observed Historical |
Observed Member Economics Across 52 Weeks
These figures reflect directly measured historical commercial distributions across the billing ledger. They are not claims of guaranteed revenue created by software; rather, they demonstrate the empirical value of members who become socially integrated.
Format Exploration · Observed Discovery
First Class Format and Recurring Conversion
This is an observational pattern reflecting self-selection and room atmosphere. SYNQ's routing simulations test how guiding comparable members into high-density formats affects onboarding velocity.
The Capacity Opportunity
Over 52 weeks, roughly 167,000 class spots went unfilled across scheduled sessions. At standard drop-in retail prices, this represents approximately £3.3M in theoretical retail-value capacity. Because physical classes represent perishable capacity with near-zero marginal cost, unfilled spots provide an ideal, risk-free routing medium for pairing early-stage members with compatible regular sessions.
Scientific Clarifications
Frequently Asked Questions
Is social connection proven to cause retention?
Not yet prospectively. In adjusted observational analyses controlling for baseline attendance frequency, members with higher network connectivity show 5.1 to 6.6 percentage points lower 90-day inactivity, and Day-30 landmark analysis shows 45.7% vs 23.0% 12-month survival. However, whether deliberately routing members into social environments causally reproduces this lift is the specific hypothesis being tested in our prospective trial (Test 12). SYNQ explicitly adheres to the standard that observational controls do not equal proven causal interventions.
How does SYNQ protect member privacy?
SYNQ is designed to support UK GDPR compliance. Member identifiers are cryptographically pseudonymized using HMAC-SHA256 with managed salt before any network graph processing occurs. Front-of-house interfaces only receive high-level contextual prompts, and outbound communications strictly preserve member anonymity without revealing peer names or private booking schedules.
What is required from venue IT teams?
Zero software installations, zero app downloads, and zero local hardware. SYNQ connects via read-only API connectors (Mindbody, Mariana Tek, bsport, Glofox) or secure CSV exports. A standard Phase 0 retrospective audit completes within 48 hours.