If you're looking for a platform to send in-app messages and run targeted campaigns without having to update your app in the app store, Abbi is a great choice. Abbi combines machine learning and big data technology to understand user behavior and send messages at the right time. It includes tools like user behavioral profiling, automated A/B testing and easy SDK integration so you can easily manage and optimize in-app campaigns. The result is higher engagement, monetization and retention.
Another good option is Anagog. The platform uses Edge AI to process data on devices and deliver personalized customer experiences without compromising privacy. It includes a lightweight SDK that can be embedded in any iOS or Android app, so you can engage with customers in real time and deliver hyper-relevant moments like push notifications and churn prevention. Anagog's ability to create hyper-personalized engagement campaigns without sharing personal data means it's a safe and powerful way to improve mobile engagement.
For a more complete engagement solution, Braze offers AI-powered management of personalized interactions across multiple channels, including mobile apps. It combines data from multiple sources to build highly personalized experiences and optimize campaigns. Braze's journey orchestration tools allow for flexible segmentation and real-time triggers, so it's good for retail and finance companies that want to optimize onboarding, engagement and acquisition.
Last, appICE offers a mobile marketing automation platform with machine learning to improve user engagement and optimize marketing campaigns. It can send real-time contextual messages across multiple devices and includes features like personalization, in-app messaging and high-speed push notifications. With machine learning and marketing automation, appICE lets companies develop smart strategies that improve engagement and build better customer relationships.