The effects of hyper-personalization in business and marketing are well known: 86% of companies report that hyper-personalization leads to markedly improved business results, according to the Salesforce company Evergage. A 2024 Deloitte report shows personalized marketing appeals to 90% of consumers. This success has moved to dating apps, of which AI dating is becoming an integral part.
Dating app users of today want more than to swipe left or right. They are looking for better matchmaking, meaningful connections, and a more personalized, safer dating experience. Here are some examples of hyper-personalization in dating.
Filtering fake accounts
Online dating sites and apps struggle to maintain authenticity and ensure user safety. In 2024, some platforms estimate that up to 10% of dating profiles are fake. AI is a strong tool in this fight, particularly in thwarting catfishing by filtering fake accounts. Dating apps powered by AI are increasingly adopting cutting-edge AI models to ensure a safer and more authentic dating experience for their users.
An algorithm that researchers at the University of Warwick developed is a notable example of this tendency. Their AI model can detect bot accounts with the astounding accuracy of 99%. The tool helps identify and remove fake profiles by analyzing factors such as message patterns, IP addresses, and image authenticity. It protects app users from harassment and the risk of scams.
AI can be used for a lot more than detecting bots and catfish, not that it wouldn’t be enough. It can also play a critical role in moderating content generated by users. This makes sure the content adheres to the dating app’s guidelines. AI improves the overall user experience by automating the detection and elimination of inappropriate content.
Identifying personality markers
Advanced algorithms can match users based on physical features they find attractive, but beyond that, they play a key role in identifying personality markers. This improves the matchmaking accuracy substantially. This aspect taps into interpersonal compatibility beyond what user profiles normally reveal.
54% of dating app users say they appreciate AI assistance in finding matches, which shows that trust in AI’s ability to understand personalized dating standards is growing. This began in 2018 when Tinder integrated Amazon Rekognition for premium app users. Tools like this analyze various components of user profiles, including images and text. Apps building on this technology use such elements to identify personality traits and interests. This way, AI dating assistants can recommend matches based on a more in-depth understanding of app users, potentially leading to more meaningful connections.
Using AI to detect personality markers signifies major changes in online dating. AI tools now empower app users by allowing them to consider not only physical attractiveness, but also whether personalities will be compatible. Compatibility is a far better predictor of relationship success. This hyper-personalized dating experience becomes engraved with rich nuance, allowing for more engaging or even profound conversations. Including these AI models in matchmaking marks a great leap forward in creating a more fulfilling and dynamic user experience.
Crafting profiles and messages
The first impression is often the last, which is where AI-assisted writing comes into play. Users who struggle to write interesting and engaging profiles and messages find AI assistance invaluable. This use is not conducive to a hyper-personalized journey in the literal sense as the messages are not a personal reflection of the user, but the help is indispensable because it enhances their chances of finding the best match.
Recap
- The most advanced algorithms detect fake profiles, bot accounts
- They keep dating app users safe by moderating UG content
- They identify desirable personality traits, mutual interests
- AI helps write interesting user profiles and messages
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