MeeMix at a Glance

MeeMix was created to help companies in the telecommunication industry utilize the long tail of media sales and enjoy the commercial potential of personalizing their media content delivery. By taking advantage of our innovative services, our partners gain a significant increase in sales and customer retention as customers are more satisfied with the personal recommendations they receive.

Together with a line of professional musicologists, psychologists, mathematicians and developers, we developed unique algorithms that deeply and comprehensively map what the listener's musical taste is composed of. On January 2008 we launched the MeeMix online community as a live testing ground where over 1 million personalized playlists and numerous recommendations were made and tested by real people with real musical preferences. Almost a year later, on November 2008, we release the MeeMix B2B services and API.

Today, MeeMix offers a line of cross-platform, innovative B2B services that help our business partners match each of their customers with the most relevant content items from their musical catalog. Our services focus on optimizing search results relevance, providing musical similarities, personalizing recommendations for each individual subscriber, creating automatic personalized playlists, and more. The services offer a plug-and-play API, for a quick, seamless and cost-effective implementation.

We help our partners and clients enhance brand loyalty by generating a deep understanding of customer needs and tendencies, and enhancing the customer's environment accordingly. Our platform enables your business to address your catalog long-tail, that massive portion of potential customer base with a unique taste in music and media. By providing personalized recommendations for these customers, our business partners significantly increase their conversion rate and media content sales.

Feel free to explore the MeeMix services line and learn how we can help you harness the commercial advantage of personalizing content delivery and discovery.