Finding 1
The platform processed substantially more customer spending in 2026
Canonical customer spending rose from $133,902.84 in January–July 2025 to $790,965.11 in January–July 2026. The number of represented revenue businesses rose from eight to 27 over the same windows.
The spending increase was therefore platform expansion: more businesses, more families and more transactions. It should not be presented as the growth rate of a typical customer.
Finding 2
One established school produced a strong same-season comparison
An established swim school increased canonical May–July revenue from $30,128.76 in 2025 to $45,632.56 in 2026, a 51.5% increase. Its represented family count increased from 66 to 129.
The school is anonymized here because named publication requires permission. The result shows measurable growth recorded through Swum, not growth caused by Swum or a complete accounting of off-platform revenue.
Finding 3
Recent businesses demonstrated meaningful operating ramps
Ten businesses first recording canonical revenue in 2026 generated at least $3,000 across their latest three observed revenue months. The median latest-three-month revenue in this internal cohort was approximately $29,112.
These businesses entered during different months and seasons. Their ramp curves can become case studies after owners confirm their launch date, pre-Swum baseline and permission to publish.
Finding 4
Revenue was concentrated among established operators
The top five businesses represented 61.7% of canonical platform revenue. Across all 31 revenue businesses, the median observed all-time revenue was $10,337, while the 75th percentile was $51,026.
That spread makes the median customer, the platform total and the largest school three different stories. Responsible reporting should state which one is being described.
Finding 5
Causal growth requires a different measurement design
Swum does not yet observe complete pre-Swum revenue, cash or external-system revenue for every business. Feature adoption is also chosen by the business rather than randomly assigned.
A causal program should capture a 12-month onboarding baseline and use randomized feature rollouts or carefully matched provider-month comparisons that control for season, size, tenure and business model.
January–July platform comparison
| Measure | 2025 | 2026 | Change |
|---|---|---|---|
| Canonical customer spending | $133,902.84 | $790,965.11 | +490.7% |
| Canonical provider revenue | $132,949.55 | $767,183.33 | +477.0% |
| Payment facts | 1,252 | 9,385 | +649.6% |
| Represented families | 291 | 1,468 | +404.5% |
| Revenue businesses | 8 | 27 | +237.5% |
The change reflects platform growth and cohort expansion. It is not same-customer revenue growth.
Anonymized established-school comparison
| Measure | May–July 2025 | May–July 2026 | Change |
|---|---|---|---|
| Canonical revenue | $30,128.76 | $45,632.56 | +51.5% |
| Represented families | 66 | 129 | +95.5% |
| Product types represented | Five | Five | No change |
Methodology
How the benchmark was produced
Swum used canonical active, medium/high-confidence, positive USD earning facts, attributed school activity to the school owner when available and removed obvious internal or test accounts.
- The canonical fact window begins February 1, 2025 and ends July 31, 2026.
- One fact maps to one unique payment identity in the qualifying cohort.
- Same-season comparisons use May through July in both years to reduce seasonal distortion.
- The recent-ramp cohort requires first canonical revenue in 2026 and at least $3,000 across the latest three observed revenue months.
- No customer name, identifier or row-level financial record is published.
Operator response
What to do with this finding
- Separate platform expansion, customer-cohort retention and individual-business growth in every dashboard.
- Capture pre-Swum revenue, active families and lesson volume during onboarding.
- Stratify provider comparisons by season, business model, size and tenure.
- Obtain explicit permission and owner verification before publishing any named revenue case study.
Limitations
What this data cannot establish
- Swum-recorded revenue may not equal a business’s complete revenue.
- The canonical financial window begins in 2025 and may underrepresent older activity.
- New-business ramps and same-season comparisons are descriptive, not causal.
- Approximately 15.3% of canonical customer spending lacks a recognized historical product type.