The OFM analytics that matter

Three families of numbers, confused constantly

What the platform reports. Gross revenue, subscriptions, tips, PPV sales. These come from OnlyFans or Telegram and are not in dispute. They tell you what came in, not why.

What the team produced. Messages sent, reply speed, conversations opened, attributed sales. These come from the CRM and depend entirely on how it counts.

Where the fans came from. Clicks, subscriptions per link, cost per fan, lifetime value. These come from tracking links and are the only ones that let you judge acquisition spend.

A dashboard that mixes all three without saying so produces wrong decisions. The classic one: concluding that a chatter is bad when the traffic source you handed them is bad.

The six metrics that matter

Unlock ratio

Paid PPV messages divided by PPV messages sent, over a period. It measures whether the content and the price fit the conversation. It is the single most quoted number in this industry and the least often defined.

Ask over what period, and whether free sends are counted in the denominator. OnlyChat publishes 43% and explains the definition on its about page, which is the exception rather than the rule.

Revenue per fan

Total revenue over a period divided by the number of fans who could receive a message during it. Sometimes published as ARPU.

The denominator decides everything. Active fans, subscribers, or everyone who ever subscribed give three different numbers from the same revenue.

Revenue per hour worked

Attributed revenue divided by hours logged, per chatter. The only measure that compares a night shift with a Saturday afternoon.

Requires both a shift log and clean sale attribution. SyncAgency publishes this one explicitly, with a leaderboard and drill down by chatter, by model and by period.

Conversion by traffic source

Share of clicks from one tracking link that become a paying fan. This is where acquisition spend is judged, not in the inbox.

OnlyMonster advertises over twenty metrics on tracking links including profit, cost per click and per fan, earnings per click, and average revenue per fan, plus bot detection on traffic.

Reply time

Delay between a fan message and the answer. A leading indicator: it degrades before revenue does, which makes it the most useful early warning on a shift rota.

Watch whether the tool counts the median or the mean. One long night skews a mean beyond usefulness.

Expired fan recovery

Share of lapsed subscribers who come back after a follow up campaign. It measures your follow up, not your content.

Infloww attaches figures to its Smart Messages, "up to 50 % more fan engagement", "89 % avg. increase in tips", "72.6 % avg. PPV revenue growth", with no published method behind them. Treat them as vendor claims, which is what they are.

Four arithmetic traps

The unstated denominator. A 24% conversion rate and an 8% one can describe exactly the same week, depending on whether you count fans who replied or everyone who received a message. Before comparing two tools, ask both for the formula.

The average on too small a base. Revenue per fan computed across twelve fans measures nothing. Set a floor below which you do not read the metric, and hold it.

The silent rolling window. "Last 30 days" on a dashboard and "this month" in a report never give the same figure. Two tools compared across two different windows are not compared.

The vendor number mistaken for a measurement. "89 % avg. increase in tips" is not a metric, it is a commercial claim with no published method. It does not belong in an agency dashboard.

The attribution problem

Here is the case that breaks every per chatter report. A fan gets an opener at 11pm from Alice, a follow up at 2am from Bruno, and buys a PPV at 9am sent by Claire. Whose sale is it?

All three possible answers exist in real tools: the last sender, the first opener, or whoever was on shift when payment landed. None is wrong, and each produces a different leaderboard. Product pages almost never say which one is applied.

That is the demo question, word for word: "when a fan buys, which chatter is the sale attributed to, and under what rule". If the answer is vague, your payroll will be vague too. See the chatters and shifts page.

What to demand from a tool

An export. Without one you can neither verify a number nor run an analysis the vendor did not anticipate. OnlyMonster is the only one in the panel to publish a complete export without conditions: "Everything you build inside OnlyMonster is fully exportable in CSV or JSON."

A configurable period. A dashboard frozen on a rolling 30 days cannot close a month.

The definitions. In the documentation, not from support. A number whose formula is written nowhere is not a measurement.

Bot detection on traffic. Without it, cost per fan on a paid source is wrong on the high side. OnlyMonster documents "Traffic Metrics Bot Detection".