Ratings & Reviews performance provides an overview of what users think of your app. Here are the key metrics to help you identify how your app is rated by users and how successful is your review management strategy.
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User reviews affect conversion to installs and app rating. Featured and helpful reviews are the first to be noticed by users and in case of no response can affect download rate.
The ST BLE Sensor application is used in conjunction with an ST development board and firmware compatible with the BlueST protocol to give you access to all the sensor data, which you can log to different cloud providers, and to update the board firmware directly from a mobile device via the Bluetooth® Low Energy protocol. After discovery ST development board, the app shows you a list of available demos and you can navigate through them to discover the functionalities of your board. Demos can be related about environmental, cloud, audio, board configuration, machine learning and and many other functionalities. The application is built on top of the BlueST SDK library implementing the BlueST protocol and helps you export the data easily via Bluetooth® Low Energy. The application also supports firmware library algorithms like motion-sensor data fusion, activity recognition and pedometer functionality. Both SDK and application source code are freely available at: https://github.com/STMicroelectronics
![How to measure customer sentiment for app reviews [7 metrics]](https://cdn.appfollow.io/blog/static/appfollow_1335e02d-b0b3-49f7-9eb6-94171dc7e379.jpg)
