Are Dating App Statistics Accurate?

Some are, many are not, and almost none are about you. A dating app figure is only as good as its source, its sample and its date, and most pages quoting one hide all three. This article quotes no percentages for that reason. What helps a man is knowing how to test a number, and then counting his own.

Dating app statistics have a few usual sources.

The apps publish some, usually in a press release or an investor update. They are often accurate about what they count, and they count what makes the company look good. A survey firm produces others by asking a few thousand people questions, and people answer a survey the way they want to be seen. A blog or a coach collects the rest from earlier pages, and a figure gets repeated long after anyone checked it.

a dating coach's video on the state of online dating shows the first kind in use: he cites falling user and download numbers to explain why dating apps feel harder than they did. That is a reasonable use, because the point is the direction, not a decimal.

Before you trust a number, ask these.

Who published it? A company selling a product has a motive. A neutral researcher may not.

Who was counted? Active users, downloads and accounts are three different things. An account that was opened once and abandoned still counts.

Where and when? A figure from one country or one year says little about your city now. Numbers get copied from year to year with the date removed.

How was it measured? A survey asks people to recall. A log counts events. They give different answers to what looks like the same question.

Can you find the original? If the page cites nothing, the number may have no source at all.

If you cannot answer most of these, treat the figure as an idea, not a fact.

Three kinds cause the most harm.

Ratios of men to women. They are easy to repeat and hard to verify, and they treat every user as equally active. A big pool of dormant accounts looks the same as a big pool of active ones.

Success rates. Apps do not publish a clean number for how many men get dates, so any figure is an estimate, usually from a survey of people who stayed on the app long enough to answer.

Numbers by race, age or height. They can be true of a group and wrong for you. Our article on race and dating app statistics explains why an average hides the spread inside it.

An average describes a crowd. Inside any group of men, some get plenty of replies and some get almost none, and the gap between them is large.

A man with sharp photos and a warm first line can do better than a man the average favors. The reverse is also true. So even an accurate statistic answers "what happens across everyone," not "what will happen to me."

This also cuts against the gloomy numbers. A man who reads that most men get few matches can wrongly take it as a verdict when it is only a description of the men who did not change their photos.

Some figures help even when they are rough. A direction, such as falling downloads or more competition, tells you that apps have changed and that effort in one place may now pay less. A rule of thumb about reports, such as the fact that safety statistics count what was reported and so undercount, is true by design.

Look for figures that describe how a system works, not figures that promise a result. "The app shows your page to fewer people when you like everyone" is the kind of thing worth testing. "Most men fail on apps" is not.

This is the part that works. For two weeks, write down four numbers for each app: women you liked, conversations that started, numbers you got, dates you set.

Read them stage by stage. If almost nobody answers, look at your photos and your first line. If chats start and stall, you ask too many questions or wait too long to suggest a drink. If you get dates but no second ones, the app is not the problem.

Change one thing at a time. Swap a lead photo, keep everything else the same for a week, and compare. That tells you more than any report, because it is about your page, your city and your week.

Read statistics for the question they raise, not the answer they claim. A headline about declining apps is a prompt to try something else too: a class, an event, an introduction from a friend. A headline about how hard it is for men is a prompt to check your photos.

If you want someone to look at your numbers and your page with you, that is what a coaching call is for. Either way, trust the figure you can check, and the one you can count yourself most of all.