What Is the Type Tab on Coffee Meets Bagel?

"My type" is one of the groups inside the Likes You section of Coffee Meets Bagel. It takes the women who have already liked you and sorts them using the Preferences you set for Suggested, so the ones closest to what you asked for come together in one place. Free members see their likes as blurred cards, while Premium subscribers can open every like and sort them into groups like this one. For a man on the dating apps, it is a shortcut to the matches most worth messaging first.

Nothing about the group is a guess on the app's part. It reads the Preferences you already filled in for your daily Suggested batch and applies them to the people who liked you.

You set those Preferences from the upper right corner of the Suggested section. They cover things like gender, age, distance, ethnicity, religion and relationship goals, and subscribers get extra Premium Preferences on top. If you never touched them, "my type" is sorting on defaults you never chose.

That is the first practical point. The group is only as good as what you told the app, so spend two minutes on the settings before you judge the feature.

"My type" is not the only way to cut the list. The same section carries other groups, including "Online recently," "Nearby" and "Shared interests," and subscribers can also explore "Recently active."

Each one answers a different question. "My type" asks who matches what you said you wanted. "Online recently" asks who is likely to reply this evening. "Nearby" asks who you could realistically meet on a Thursday. "Shared interests" asks who gives you an easy first line.

You will get more out of the list by choosing the group that fits what you want tonight than by scrolling it top to bottom.

Likes You exists for everyone, but how much of it you can use depends on your plan. Free members see their likes as blurred profiles. Premium subscribers can view all their likes and sort them by these groups, including "My type."

So on a free account you know that likes exist and you can see that they are waiting, but you cannot sort them. Whether that gap is worth paying to close is a separate question, and the last section covers it.

A like from a woman is the cheapest piece of attention you will get on any dating app. She has already decided she is interested enough to tap. Your job is to not waste it.

Work the group in this order. Open the profiles that fit best, and like back the ones you would genuinely enjoy meeting. Then write to them while the like is still fresh, with something specific from her photos or her answers and a real question about it.

a dating coach's routine for the apps is a short block of time each day, spent in a fixed order. First come the women closest to setting a date. Then come the next closest. Last come the ones you have only just connected with. A woman who liked you and sits in the group that matches your preferences is near the top of that order. Answer her before you go back to browsing strangers.

The tempting move is to like every woman in the list so the matches pile up. That fills your inbox with people you have no real interest in, and it turns your conversations into a chore.

My warning about auto-swiping is aimed at swipe apps, and it should not be read as a claim about how this app behaves. His point still carries over as common sense. If you say yes to everything, you stop being able to tell a good fit from a weak one. The women you do like then get the same tired, copied message as everyone else.

Like back the ones you would actually message. Leave the rest.

The group earns its place when you have a lot of likes and too little time. If there are enough women in the list that you cannot read every profile in one sitting, sorting by your type saves you from guessing where to start.

It is much less useful on a quiet account. With a handful of likes, you can read them all in five minutes, and a sort button adds nothing.

a dating coach's rule for paid features is to test one cheaply, keep it if your results improve, and drop it if they do not. Apply that here. Turn the feature on for a month, count how many conversations it produces that turn into a plan, and decide from that number rather than from how the feature feels.