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Applying the Concept of Human Behaviour and Science of Attraction = Getting a Billion Downloads of Your Tinder Clone App

An online dating app like Tinder serves a very personal and exclusive purpose of the users. 

Generally, a user is spending time on dating apps with heavy emotions. 

There are many biological, social, and mental factors that influence users’ engagement with the dating app. 

For instance, a single mother generally seeks a healthy new relationship with a much mature and wealthy man – unlike a single father. 

Since you can’t control their biological, mental & social factors, you have to design and develop your Tinder clone app in a way that works on the science of attraction and human behavior. 

The role of human behavior and science of attraction in the success of Tinder clone or Tinder-like apps 

First of all, human behavior and the science of attraction are two different things but they are connected somehow. 

Human behavior is more influenced by mental and social factors. Whereas, the science of attraction talks more about biological factors.

But when it comes to picking a partner through a dating app, all of these three factors play the combined role. 

  • Mental factors define the mental state and choice of the users i.e., happy to be soon in a new relationship, sad after a tragic breakup, seeking only free service, ready to pay for premium features, etc. 
  • The social factors define the different social positions of the users i.e., medical professionals (generally looking for partners from the same profession), students (looking for partners who are students too).  
  • The biological factors define the different preferences a user wishes to have in his partner’s biological structure i.e., some prefer muscular men, some with a beard. 


If we sum up so far what we’ve discussed, we can find out the user intent. 

User Intent on Dating Apps = Human Behaviour + Science of Attraction

User Intent on Dating Apps = (Mental Factors + Social Factors) + (Biological Factors) 

User Intent on Dating Apps  = (A female user seeking free service + who is a student) + (prefers muscular man) 

If your app makes her find the man he is looking for with minimal effort and time, it is considered the best user experience and outcome. 

But the question is how to know the mental, social and biological factors of the users. 

How do Tinder leverage human behavior and the science of attraction to earn more users? 

For that, we need to study the entire user journey on the Tinder app. 

Phase 1: User Onboarding (Social Factors in Action)

As soon as the user opens the app for the first time, the Tinder app asks a user to add ‘passions’ or his interests. 

This will help the Tinder app draft the social state of the users. 

Needless to say that this is very little information to draft the accurate social status of the users. For accuracy, the app needs more details. 

Thus, it asks users to sign up using a Facebook profile. A user’s Facebook profile contains enough information to accurately predict the social status of the user. 

The app does not stop here. It places users with the same interests in a batch and predicts the social status of a user based on the other users of the same batch. 

Yes, you are thinking right. The Tinder app could have asked users to add more details about their social status. But, this will lengthen the user onboarding process and affect the experience. 

Phase 2: User Engagement (Biological Factors in Action)

As soon the user completed signing up by adding all of his details, the Tinder algorithm shows him the profiles which have been found ‘attractive’ by many other users. 

Because so far, Tinder does not have details about the user’s biological factors. 

Tinder shows him some more ‘attractive’ profiles along with some ‘boring’ profiles as well. 

The app notices how the user reacts to each profile. Based on his reaction, the app defines the biological preference of the user. 

Of course, the more profiles a user reacts to, the more accuracy his biological preference gets.

Phase 3: User Conversion  (Mental Factors in Action)

To earn maximum revenue, the Tinder app has to convert free users to paid users. But there is a major challenge. 

The user’s default mental state is set at ‘I want to use this app for free’.  To change this mental state, Tinder makes him imagine the things he would achieve with premium features. 

Here is how: 

Generally, Tinder does not show you the profile again which you dislike once. 

That means, if you accidentally dislike a profile you wanted to get to know, you can’t like that profile again. 

However, you can use the ‘rewind’ feature to get her/his profile back and start a conversation. But it is not free. 

As soon as you click on the rewind button,  a screen pops up which has a personalized message, 

“Unlimited Rewinds. Don’t Lose ‘Person’s profile name you disliked accidentally’. Get Tinder Plus!” 

Here, the Tinder app makes users imagine what he would get with premium features. 

In other words, it is trying to change the mental state of the user – trying to make more money from users.

And remember, this is just one example. There are many other ways Tinder implements to change the mental state of the users. 

Introducing first of its kind Tinder clone app working on the concept of human behavior and science of attraction  

Do you also agree that my above research is the logical and advanced way to jump into the market?

Let’s create your own dating app and be the next unicorn in the app market.

But before that, I want to suggest you to not go for a typical Tinder clone script. It only looks like Tinder, does not work like it, or it doesn’t solve 2021’s app challenges. 

We’ve been active in the mobile app industry for 3 decades. 

After closely evaluating Tinder clone apps available in the market that only look like native  Tinder app, we decided to launch a clone of Tinder that looks and works like a native app. 

Specifically, it works on the concept of human behavior and the science of attraction – like the original Tinder app. 

This will enable you to hit on the exact purpose of the users which eventually helps you provide the ultimate customer experience to the users.