To support daily business and technical operations
Operating Hinge involves a lot of daily business and technical operations, including hosting data securely, providing you with good customer care support, operating advertising and marketing campaigns, understanding what users like or dislike about our services so we can make them better, performing research and development, facilitating payments, managing revenue and accounting, fighting against spam, abuse, fraud and similar harmful behaviours, legal support and others. We share information about you with affiliated Match Group companies so they can help us perform some of these daily operations as our service providers.
To help keep you and others safe
We share and receive information about you with/across Match Group companies to aid us in our efforts to keep you safe. This enables us to do things like:
- Investigate, identify and take action against (e.g. ban) fake accounts, spam, abuse, fraud and other wrongdoings across Match Group services.
- Identify and combat potential discrimination or bias, by improving our ability to check the design and usage of Match Group services against discriminatory or biased outcomes.
- Work with law enforcement when we suspect things such as fraud or harmful or illegal activity, or to help prevent death or imminent bodily harm.
To personalize your experience on Match Group services (where and as allowed by applicable law)
If you’re using more than one Match Group service, sharing your information with other Match Group companies allows us to personalize your experience on Hinge and across these services. This personalization includes, for example, the prices and discounts you’ll experience on the Match Group services you use. For instance, the prices and discounts you may see for our service may vary, based on the fact that you also use another Match Group service or used a paid feature on that other service.
To understand how people use Match Group services
Sharing information helps us understand how people use Match Group services, for instance by more accurately counting the number of unique registered, active or paid users across Match Group services, how many Match Group services they use on average, how people go from one to the other, and how usage patterns might differ.