Spark’s matching algorithm is designed to find the most compatible matches based on a variety of factors:
Profile Details: Age, location, interests, and relationship preferences.
User Activity: The experiences you engage with, the profiles you view, and the matches you interact with help refine the algorithm’s suggestions.
Contextual Matching: The algorithm considers real-time data, such as when and where you’re active, to suggest matches that might also be online and ready to connect.
Privacy-Compliant: Rest assured, Spark only uses the data you provide and complies with major data privacy regulations to ensure the security of your information.