Ok, here is the thing.

Most apps are still built on rigid, one-size-fits-all user flows. They rely heavily on historic behavior - what a user clicked on last week or which segment they’re in. But user needs change moment to moment. And when apps fail to adapt, users just leave.

The next evolution isn’t about personalizing based on identity - it’s about adapting based on intent. And that intent can only be accurately understood in context.

In this episode, we’re going to talk about the Context Platform by ContextSDK that enables apps to detect real-world context in real time - whether a user is walking, relaxing, commuting, charging their phone, or simply on the move - and then infer their intent. Using a combination of on-device machine learning and server-side intelligence, the platform helps apps deliver the right experience or message at the right moment.

This isn’t just a UX upgrade - it is a fundamentally better way to retain users and drive revenue, while respecting privacy and improving performance.

"It’s great to know a lot about past behavior, but past behavior is looking into the past. Intent is happening in the moment and is looking forward"

"We collect enough data points on patterns of movement and behavior and analyze them with the smartest machine learning models out there. That allows us to infer intent—and that’s something extremely powerful when shaping app experiences,"

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