OnlyFans post statistics explained

Where to find post statistics

On the OnlyFans creator dashboard, post statistics live in two places:

• Per-post: Tap or click any post on your profile → "Statistics" link below the post body. This shows the metrics for that specific post.
• Aggregate: Statements → Statistics tab. This shows aggregate post performance across a date range.

Both views are visible only to you (the creator) — fans don't see them.

What each metric means

Reads

The number of subscribers who actually saw the post. Note: "saw" here means the post entered the subscriber's feed view, not that they engaged with it. A subscriber scrolling past your post counts as a read.

Healthy benchmark: 25–50% of your active subscriber count. If you have 1,000 active subscribers, a healthy post should generate 250–500 reads. Below 25% suggests either feed-algorithm de-prioritization or low subscriber activity.

Likes

How many subscribers tapped the heart icon. A weak engagement signal — likes don't correlate strongly with revenue, but they correlate well with comment activity, which does.

Healthy benchmark: 8–15% of reads. Anything above 15% suggests the post resonated unusually well with your audience.

Tips

Direct revenue from the specific post — fans tipping in response to that content. The cleanest revenue signal you have at the post level.

Healthy benchmark: Highly variable. Top creators see $0.10-$0.50 in tips per read; mid-tier creators $0.02-$0.10; new creators may see almost zero. Tips track creator-fan relationship depth more than post quality.

PPV unlocks

For paid posts (PPV — pay-per-view), this is how many subscribers paid to unlock the content. The only metric that directly measures purchase intent.

Healthy benchmark: 5–15% of reads is typical for $5-$10 PPV. Higher unlock rates usually mean either a low price or a particularly motivating thumbnail/preview. Lower rates may signal price-resistance or thumbnail issues.

Comments

How many subscribers commented. Comments are the highest-intent free engagement signal and often precede DM revenue (commenters frequently DM creators after engaging publicly).

Healthy benchmark: 1–3% of reads. Comment activity also indicates which content topics generate conversation, which is useful for future content planning.

How to actually read these stats

The trap most creators fall into: looking at one post's stats in isolation. Two better framings:

1. Compare to your last 5–10 similar posts. One post's read-rate tells you nothing; the trend line tells you everything.
2. Track the funnel. Reads → Likes → Comments → Tips/PPV is a funnel. If reads are stable but conversions drop, the issue is content. If reads themselves drop, the issue is feed-algorithm distribution or subscriber activity.

Aggregate statistics — what to monitor monthly

On the Statements → Statistics tab, the figures most worth monitoring are:

• Total earnings across subscriptions, PPV, tips, and DMs
• New subscribers vs churn — subscriber count is a vanity metric; net growth is the real one
• PPV revenue share — is your business subscription-heavy or PPV-heavy? Both work, but the optimization differs
• Average earnings per subscriber — total earnings divided by active subscribers; the cleanest signal of relationship health

What OnlyFans doesn't show you

Some metrics OnlyFans's native dashboard doesn't surface but that creators often want:

• Post-level revenue split — you see tips and PPV separately but not "total revenue traceable to this post" cleanly.
• Subscriber lifetime value (LTV).
• Cohort retention curves — how many subscribers from January are still active in March, etc.
• Geographic breakdown of your subscribers.
• Time-of-day performance.

These gaps are why third-party creator-analytics tools have a market — most aggregate OnlyFans data and re-derive these views.

Sources

• [OF-DOCS] OnlyFans creator help center documentation on the statistics panel.
• [CREATOR-2024] Creator interviews and educational content for benchmark figures.
• [AGENCY-2025] OnlyFans-focused talent agency benchmarking guides.

Related tools