Heidi
🎯 Cross-domain data
🎯 Highly specific user taste
🎯 Fully compliant
What is it
Heidi is a privacy-first Identity Metadata Provider. You can think of it as a user login that provides rich data when users enter your site. In comparison to other providers, who often provide PII in an exploitative manner, Heidi only provides highly abstract, anonymized taste data.
Privacy first
In comparison to existing approaches to gather customer insight, Heidi is designed in a privacy first manner. Users always consent in providing their data to you, and what you get about them is altered in a way that privacy is preserved.
Cross-media taste data
In comparison to other services, which most often focus on a certain modality, Heidi provides a very broad scope of data. Think you knew about Music, Movie and Book tastes of a user, all at the same time.
The setting
Personalization is the basis for sophisticated user-experiences on the web. Media streaming, electronic commerce and gaming all depend on personalized recommendations for the user. So far, the underlying data is generated most often with exploitative tracking methods. Often without consent, and by violating basic data protection right, user profiles are created in order to enable personalization. As regulators prohibit these measures, it becomes more and more challenging to provide personalized experiences.
Solution
To solve this issue, we built Heidi. Heidi is a data-rich social login. When users enter your service with Heidi, you are provided with a highly specific taste profile of the user. With Heidi, cold start issues of recommender systems can be solved. You can promote the best items to the user from the very start. Imagine you had a detailed knowledge of shopping, music or film taste of new users, without the usual pains of compliance! Built privacy-first, Heidi usually generates an uplift north of 35% on fresh users. Beyond that, you can use Heidi to complete your understanding of existing users.
Technology
Personalization is the basis for sophisticated user-experiences on the web. Media streaming, electronic commerce and gaming all depend on personalized recommendations for the user. So far, the underlying data is generated most often with exploitative tracking methods. Often without consent, and by violating basic data protection right, user profiles are created in order to enable personalization. As regulators prohibit these measures, it becomes more and more challenging to provide personalized experiences.
Partners
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FAQ
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