FanSifter is a fan data management platform that leverages machine learning to help rights holders in music, entertainment, and sports increase tickets, music, merch, experiences, and sponsorships sales.
We look forward to connecting and collaborating with: Artists and artist managements, Music management companies, Labels, Promoters, Merch stores, Artist/label services, Digital agencies working in music.
Our value prop:
FanSifter helps industry stakeholders to bring their first-party opt-in fan data sets out of silos and collaborate on what they know about their fans through our collaborative customer data platform, in compliance with all privacy laws. We enable them to see all of their audience data in one place in one format.
Collaborative fan data management need is coming from how the music industry operates, where business revolves around an artist´s brand, and each partner has captured some data points about the fans in the fanbase of the same artist. Each partner (e.g. artist/music management, label, merch stores, promoters, agent, etc) sees a narrow window into the life of the fan - we make it possible to pull these data points together in compliance with CCPA/GDPR and understand fans and audiences deeper and more granularly.
Because FanSifter makes these collaborative data alliances possible, operating as a data escrow, our industry-specific machine-learning models surface better insights/analytics about fans + power smarter segmentation of fanbase that can be activated to campaigns and ad distro channels directly from FanSifter.
Audience segments marketplace:
By securely storing audience data with Fansifter, brands, media buyers and promoters can now target ad buys to artist audiences without actually sharing data, and artists and their partners can better monetize their audiences without violating the law or infringing on fan privacy.
FanSifter is a prestigious Techstars Music Los Angeles 2020 program alum.
Wallifornia MusicTech alum. BPI member.
