Benchmark your OnlyFans growth against your own baseline.
Public averages hide differences in niche, audience, price and starting point. This worksheet gives you a repeatable baseline from the account data you can actually verify.
Free CSV template
Record one definition consistently, then compare matched periods.
The download contains the exact columns used in this method. It has no invented industry averages, macros or account integrations, so you can inspect it before adding any private account data.
Worksheet v1.1 · Updated September 2, 2026. The CSV downloads to your device. Jaded does not receive the values you enter; consent-gated analytics may record only that the file was downloaded.
Use matched periods
Compare the same number of days and, where possible, the same weekdays. Record launches, promotions, price changes and outages so a one-off event is not mistaken for normal growth.
Use net numbers consistently
Decide whether the sheet uses fan spend, creator gross or creator net, then keep that definition unchanged. OnlyFans' standard platform split is explained in our payouts and fees guide.
Four metrics for a useful baseline
Exact definitions depend on the data available in your account and promotion tools. Write the definition beside the number so future comparisons stay compatible.
| Metric | Formula | What it diagnoses |
|---|---|---|
| Qualified visits | Tracked visits from each promotion source | Shows which channels send people who actually reach your page or link hub. |
| Subscriber conversion | New paid subscribers ÷ qualified visits | Separates a traffic problem from a profile, offer or expectation problem. |
| Renewal rate | Renewed subscriptions ÷ subscriptions eligible to renew | Shows whether the page is delivering enough ongoing value to retain fans. |
| Net revenue per active fan | Creator net revenue ÷ active paying fans | Keeps subscription, PPV, tips and paid messaging connected to the audience size. |
Field and definition checklist
The template includes worksheet and definition versions, period labels and dates, period length, currency, source, campaign or content change, each raw metric, formula outputs, the exact report reference, exclusions, data gaps, and notes.
Review weekly for operations, but avoid calling a trend from one short window. The smaller the account, the longer it may take to collect a stable comparison.
| CSV field | Definition |
|---|---|
| worksheet_version | Template release used for the row; currently 1.1. |
| definition_version | Your own frozen definition set, so later periods use the same rules. |
| period_label | A human label such as baseline, comparison, or week 3. |
| period_start / period_end / period_days | Inclusive date window and its calculated length. |
| currency | The single currency used for every money field in the row. |
| source | The promotion, platform, or cohort being evaluated. |
| campaign_or_change | The intervention or material operating change during the period. |
| qualified_visits | Visits meeting your written eligibility rule; keep the tracking source consistent. |
| new_paid_subscribers | New paid subscribers attributed under the same rule and window. |
| subscriber_conversion_rate | Calculated as new paid subscribers divided by qualified visits. |
| renewals_eligible / renewals_completed | The defined renewal denominator and the completed renewals within it. |
| renewal_rate | Calculated as completed renewals divided by eligible renewals. |
| active_paying_fans | Fans counted under one written active-paying definition for the period. |
| creator_net_revenue | The creator-net amount after the deductions included in your definition. |
| net_revenue_per_active_fan | Calculated as creator net revenue divided by active paying fans. |
| source_or_report_reference | The exact export, report, tracker, or statement behind the row. |
| exclusions_or_data_gaps | Missing data, outages, exclusions, or known tracking limitations. |
| notes | Context that affects interpretation but does not belong in a metric field. |
Worked interpretation
Three fictional outcomes—and three different decisions.
These scenarios contain no creator data and are not expected ranges. They show why several metrics and context notes need to be read together.
Quality improved
Qualified visits stayed similar while subscriber conversion, renewal rate, and creator net revenue per active fan increased.
Next decision: Investigate which offer, audience, or retention change is repeatable before assigning causation.
Volume rose, monetization weakened
Qualified visits and new subscribers increased while net revenue per active fan and renewal rate declined.
Next decision: Check traffic quality, offer fit, discounting, content delivery, and cohort mix before celebrating reach alone.
Inconclusive or noisy
A launch, outage, pricing change, or very small denominator affected one period, so the windows are not comparable.
Next decision: Record the confounder and collect another matched period instead of forcing a winner.
Method
A comparison is useful only when the definitions stay stable.
This is a first-party operating worksheet, not a promise of typical earnings. The comparison becomes more useful as you collect longer, cleaner periods from the same sources.
- 1
Define the inputs
Write down what counts as a qualified visit, active fan and creator net revenue before entering the first period.
- 2
Capture the source
Record the platform report, link tracker or account export behind every number so another reviewer can reproduce it.
- 3
Annotate interventions
Log promotions, price changes, outages and major content launches instead of crediting every movement to the latest tactic.
- 4
Compare matched windows
Use the same number of days and similar weekdays. Small accounts may need longer windows before a pattern is stable.
- 5
Make one decision
Use the result to choose the next bottleneck—traffic, conversion, retention or revenue per fan—then measure that change separately.
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