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Hyper-Personalized Matchmaking

Algorithms and AI technology guide users to their best match

Implications - While the proliferation of platforms like Tinder has contributed to more convenient, fast-paced methods of finding love, consumers are craving more, and as a result, personalized methods are emerging. From AI algorithms to DNA testing techniques, these solutions give users the chance to customize their matchmaking process, ensuring the results are more tailored to their individual, inherent needs. Showcasing the type of effort and lengths consumers are going to find their match, these examples also reflect a growing desire for customization in every single facet of their life.
Workshop Question - How could you potentially hyper-personalize your product or service offerings to create a more memorable experience for your consumer?
Trend Themes
1. Hyper-personalized Matchmaking - Consumers are craving more, and personalized methods are emerging by using AI algorithms, DNA testing techniques, etc.
2. AI-powered Matchmaking - As Tinder introduces AI-powered 'Super Likes,' businesses can offer a more tailored experience.
3. Genetic Compatibility-based Matchmaking - Dating apps like Pheramor are adding a third factor to their double helix algorithm by using the science of pheromones and genetic variability that leads to an increased likelihood of attraction.
4. Voice-based Dating - Platforms like Waving are adopting a new model, where users upload voice recordings instead of photos to help foster a deeper sense of connection.
Industry Implications
1. Online Dating Services - The online dating industry is rapidly evolving, with more and more businesses leveraging technology to provide personalized matchmaking services.
2. Genetic Testing Industry - As more dating apps incorporate DNA testing into their matching algorithms, this creates opportunities for companies in the genetic testing industry.
3. Voice Recognition Technology - The development of voice recognition technology creates opportunities for businesses to provide more personalized and immersive experiences to their customers.
3.2
Score
Popularity
Activity
Freshness
Patterns
Megatrends
4 Featured, 31 Examples:
69,380 Total Clicks
Date Range:
Dec 17 — Mar 18
Trending:
Mild
Consumer Insight Topics:

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