Matching algorithm-based dating apps are powered by offline matching services or matching algorithms that base their choice on personal survey information. This is how eHarmony finds matches for their users. For example, OK Cupid , a well-known dating platform, now also has an app trying to compete on the app market.
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Niche dating apps target specific groups of people. The concept behind The League is the idea that people tend to date people from their own social circles. As a result of our analysis we have come up with SWOT infographics that describe major challenges and opportunities for dating app development.
Dating apps typically generate revenue by offering additional features in their premium plans. Restriction of access to certain features in free versions is often used as additional motivation to make users pay for premium plans. Tinder is a good example of how you can motivate more users to go premium by choosing a crucial feature of your app and only allowing premium users to enjoy it. Unfortunately, dating app developers often struggle to earn revenue from their dating apps. We analysed user reviews both for Android and iOS apps and came up with a number of features that are desirable and not desirable in dating apps.
We also looked into what features can help you improve essential KPIs for dating apps, such as engagement and revenue metrics: There are three essential KPIs when it comes to engagement metrics in dating apps: Let's see how to make a dating app engaging for users:. Use matching algorithms but keep them concise. There are two different types of matching algorithms:.
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Survey-based matching algorithms where users provide information about themselves. Such algorithms suggest matches based on shared interests, hobbies and life-goals, and can be quite effective if they are concise and user-friendly. Curating suggestions based on user preferences results in fewer choices, but focuses on quality rather than quantity.
Psychology tells us that people do not like to be overwhelmed by the number of available choices, so showing only a few matches that have been carefully selected for every user is a good idea! Facial recognition-based matching algorithms are based on the assumption that we subconsciously choose people with the same type of faces. No dating app currently uses face recognition technologies officially, at least , but enthusiasts have recently created a bot for the Tinder app that uses Eigenfaces for building facial models based on user likes and dislikes and then follows these patterns to search for matches automatically.
Another essential feature that will help your dating app provide more relevant matches is a set of filters. These filters can be based on something simple like age, height and weight, ethnicity, body type, hobbies and interests, but it is always better to add something special. Reviews show that users respond better to personalized filters than they do to exhausting surveys so keep this in mind when you are developing a dating app. One of the most useful filters for dating apps is geolocation. When using geolocation it is best to let users decide how big the area of search is going to be.
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A lot of users feel too shy or too intimidated to meet somebody they see in their office building or at their favorite dining place, but anonymous communication can sometimes help them break the barrier and chat with people they like. At the same time people do not want their personal details disclosed.
Gamification of search and selection processes also increases user engagement with an app. Gamification can be implemented in various ways: You can check it out on GitHub and read more about it on our blog. When it comes to retention , your goal is to make users come back to your app again and again.
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To increase retention, sending a push notification when a match happens isn't enough. This way they will get curious and open your app to check suggested profiles. Once the first version of your app is released, you can use heat maps to analyse which screens are most popular among users, and improve the design based on this information. Our Details page offers tips on how to improve your grade. Those who fail to raise their overall grade above an F are expelled from the app. You deserve a better dating experience. Meet a higher standard of dating with The Grade.
A New Dating App Grades Profiles and Expels Failing Users
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