Use cross-channel behavioral and transactional data to personalize your in-app experience

Convincing shoppers to download and engage with a mobile app is difficult enough. By using cross-channel data to personalize the content, message, and product recommendations in-app, retailers can create mobile experiences that not only convince shoppers to download and engage with their apps but also drive purchases.

Improve in-app engagement with dynamic content personalized to shoppers’ cross-channel behavior

Deliver personalized mobile app experiences tailored to each shopper’s in-app and cross-channel behavior. Customize in-app visuals and messaging according to each shopper’s behavioral and transactional data in order to create more engaging mobile experiences. Personalize everything from the message displayed on the app home screen to how possible payment methods are presented.

Increase in-app purchases with relevant product

The look and feel of product recommendations is just as important to their effectiveness as the relevance of the products within them. With mobile app personalization, you can leverage all of the same data and filtering options as our onsite product recommendations in a ready-for-mobile format. Mobile-friendly product recommendations make sure none of that precious space goes wasted.

Foster loyalty by building cross-channel profiles that consist of data from desktop, in-store, and mobile

Build and leverage omnichannel profiles of your shoppers regardless of what devices they use by tracking onsite, in-app, and in-store data. Use in-app data to inform onsite and in-store experiences to ensure consistency and maximize effectiveness. Likewise, personalize your mobile app experience in real-time so that behaviors on all other channels are accounted for.

Decrease the load on your app with GraphQL data query

By using GraphQL instead of the standard REST API, we’ve optimized our in-app personalization capabilities to ensure you can deliver personalized mobile experiences as quickly and effectively as possible. This minimizes the amount of data retrieved in each query by eliminating anything unnecessary, and creates more stability by allowing the client to define the data structure.

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