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OnlyFans analytics and statistics dashboard: the revenue, retention and PPV numbers that matter

Most creators run on gut feel because the numbers are scattered and a pain to pull. OnlyFans analytics from FansAgent put revenue, conversion and retention in one clean dashboard so you can stop guessing.

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The short answer

OnlyFans analytics worth acting on come down to four numbers: revenue per subscriber, churn rate, pay-per-view conversion, and reply time by hour of day. The native statistics page shows top-line earnings but not the causes, which is why creators cannot tell whether a bad month came from lost subscribers, weaker offers, or messages that never got answered. FansAgent tracks the conversation-level numbers alongside revenue and connects them, so you can see which fans went quiet before they churn, for a flat $49 to $399 a month.

Last updated August 2026

The native statistics page is better than it gets credit for. It shows earnings by day and by source, subscriber counts split into new, renewed and expired, post views and likes, and basic message counts. For one creator working alone that is often enough to run on. Two things break it. It reports one account at a time, so anyone managing a roster ends up with several logins and a spreadsheet. And it reports outcomes rather than causes, so it tells you a bad month happened without telling you which of the four possible reasons caused it.

Those four reasons are the whole game. A month can fall short because fewer people subscribed, because fewer of the existing subscribers renewed, because the offers you sent converted worse, or because messages went unanswered long enough that fans who were ready to buy stopped being ready. Those look identical on an earnings chart and they need completely different responses. Sorting them out is what analytics is for, and it is why the table below is organised by cause rather than by metric name.

Rebill rate is the one most creators find first and most agencies underweight. A renewal costs nothing to acquire, so a page holding 60 percent of its subscribers month over month is worth far more than a page churning through new ones at the same headline revenue. The native statistics area gives you renewed and expired counts but not the percentage, so you divide it yourself. The point of watching it weekly rather than monthly is that it moves before earnings do, usually by two to four weeks, which is enough warning to actually do something.

Revenue per subscriber is the number that stops you buying the wrong growth. Traffic is easy to buy and easy to be flattered by. If subscriber count climbs while revenue per subscriber falls, the new fans are not buying, and the answer is almost never more traffic. It is normally the welcome sequence: the first 48 hours after a fan subscribes decide whether they ever spend beyond the subscription, and most pages spend nothing on that window.

Pay-per-view conversion is where the money on a mature page actually moves. Two things distort it. Sending to the whole list instead of the segment that has bought before, which crushes the percentage and trains fans to ignore you. And blaming price when the caption was the problem. If one send underperforms, change the caption. If every send underperforms, you have a list problem, not an offer problem.

Reply time by hour is the metric nobody reports and the one that quietly explains the other three. Average reply time is useless because it hides the hole. Broken out by hour, almost every page shows a six to nine hour overnight window where median reply time collapses, and that window is where a large share of tips and pay-per-view purchases get started and abandoned. A fan who describes exactly what they want at 1am is at peak intent. At 9am they are at work.

That is where the agent comes in rather than another chart. FansAgent tracks the conversation-level numbers alongside revenue and connects them, so a quiet high spender shows up as a fan to message this week rather than as a line on a churn report next month. You set the voice, the boundaries and the offers, the agent drafts and you approve. The tiers are 49, 149 and 399 dollars a month, flat, with no percentage of sales. One honest note: FansAgent is not on sale yet, so the only thing you can do today is join the waitlist.

If you are shopping the category rather than the metric, the third-party analytics tools price per linked account and range from free to 250 dollars a month depending on what the account earns. That comparison, with every price read from the vendor's own page, is in the analytics software roundup linked below.

What it does for you

OnlyFans analytics, the way it should work

Revenue at a glance

See earnings, PPV conversion, and tips trends in one view, without exporting and stitching spreadsheets together.

Find what works

Spot the offers, messages, and timing that convert best so you can do more of what is already paying off.

See risk before it costs you

Churn signals and quiet fans show up early, so the agent can re-engage them before you lose the revenue.

What you get

  • See revenue in one dashboard
  • Find your best-converting offers
  • Identify top spenders and churn risk
  • Turn insights into action automatically

Your inbox, handled.

Pick your voice, see the agent draft an on-brand reply and a tasteful upsell, and watch the revenue land. Quick to set up, you stay in control.

Side by side

The four OnlyFans metrics worth tracking, and where each one lives

Most creators track earnings and nothing else, which tells you a bad month happened but never why. These four separate the causes.

The four OnlyFans metrics worth tracking, and where each one lives
Metric What it actually tells you Where you find it What to do when it moves
Rebill rate The share of subscribers whose subscription renewed instead of lapsing. The single biggest driver of a stable month, because a renewal costs nothing to acquire. Native statistics under subscribers, as renewed versus expired. No tool shows it as a clean percentage, so you divide it yourself. A falling rate means fans stopped hearing from you. Message the accounts that went quiet before their rebill date, not after.
Revenue per subscriber Total earnings divided by active subscribers. Separates a page that grew from a page that just got busier. Native earnings total against the subscriber count, for the same date range. Flat while subscribers rise means your offers are not reaching the new fans. Fix onboarding and the welcome sequence first.
Pay-per-view conversion The share of recipients who bought a given offer. The number that tells you whether a price, a caption or the timing was wrong. Per-message purchase counts in the native inbox, or per-offer reporting in a third-party dashboard. Below your usual band on one send, change the caption before the price. Below it on every send, you are messaging the whole list instead of the warm fans.
Reply time by hour How long a fan waits for an answer, broken out by hour of day. The hidden cause behind most of the other three. Not reported natively at all. You need a tool that timestamps both sides of the conversation. If the slow hours are overnight and weekends, that is exactly the window where tips and pay-per-view get bought and abandoned.

Definitions and locations verified against the OnlyFans creator statistics area in August 2026. Ranges vary widely by niche and price point, so measure your own baseline before comparing to anyone else's.

Good to know

Questions about your onlyfans analytics

Earnings totals by source and date range, subscriber counts split into new, renewed and expired, post views and likes, and basic message statistics. What it leaves out is per-fan spending history, pay-per-view conversion by offer, reply-time data, and any early signal that a paying subscriber is about to lapse.
Open your account, go to Statistics from the profile menu, and pick between earnings, subscribers, reach and engagement. Each view takes a custom date range. Earnings are shown net of the platform fee, so they will not match your gross sales, and the whole area covers one account only.
There is no honest universal number, and anyone quoting one is guessing. Conversion swings hugely with price point, niche, traffic source and how warm the fan is. The useful move is to measure your own baseline over a few weeks, then compare each new offer against that, rather than against a figure from a blog post.
Revenue, PPV and tip conversion, top spenders, retention and churn risk, and what your re-engagement is recovering, all in one dashboard so you can act on it.
Yes. The insights feed the agent, so when it spots a winning offer or an at-risk fan, it acts in your voice with your approval, not just a chart you have to interpret.
There is no published benchmark worth quoting, because rebill swings with price point, niche and how much a page messages its list. Measure your own over three months and treat that as the line. What matters more than the absolute number is the direction: a rate falling two months running is a page that has gone quiet, and it shows up before earnings do.
The native statistics area is per account, so there is no built-in way to see a roster in one view. You either export each account and stitch the numbers in a spreadsheet, or use a third-party tool that links the accounts and reports across them. Most of those price per linked account per month, so the cost grows in a straight line with your roster.
Check four things in order: whether fewer subscribers renewed, whether subscriber count itself fell, whether your pay-per-view conversion dropped, and whether reply times got worse. In practice the most common cause is the first one, because a lapsed rebill is silent. The earnings chart will not separate these, which is the whole reason to track them apart.
Not as a percentage. The native inbox shows how many people bought a given priced message, and you can see how many it went to, so you can work the rate out by hand per send. What it will not do is trend that rate over time or break it out by sender, which is what an agency needs to tell a good chatter from a good offer.
For pure reporting depth, FansMetric at 39 dollars per linked account is the sharpest, and its Pro tier is the only one tracking free trial link revenue end to end. Infloww bundles reporting into a shared inbox at 40 dollars per profile. Supercreator is free to ten accounts, which makes it the obvious first purchase if you have no numbers at all today.
Weekly for rebill rate and pay-per-view conversion, monthly for everything else. Daily checking makes noise look like signal on a page this size, and the decisions you would make from a daily number are almost always wrong. Pick a fixed day, look at the same four numbers, and ignore the rest of the dashboard.
The native statistics cannot, because they report a subscription as expired only after it has already lapsed. Conversation-level data can, because a fan going quiet is visible weeks earlier: time since last message, time since last purchase, and a drop in reply length are all leading indicators. That is the gap third-party tools and an AI agent are actually sold into.

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