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Use StriveCast Analytics for powerful real time video analytics and complex data queries in order to get deep insights into your video streaming performance and user experience.

With StriveCast Analytics, you can automatically collect important data points
directly from your users' device. Then visualize this data in real-time.
Add custom dimensions and metrics to StriveCast Analytics to get the best insights in your video performance.
Gain accurate, full, objective visibility of the health of your media service performance and understand your audience better to help you retain users whilst optimizing costs.
"StriveCast Analytics is an awesome tool that helps us and our customers to get meaningful data about endusers' video quality. By using StriveCast Analytics, we are able to understand our customers better and we can react faster to playback issues."

StriveCast Analytics lets you dive into your data without any limitations and with the maximum real time granularity possible. Thanks to unlimited multidimensional filtering and 1-on-1 session tracking, get a more in-depth analysis to find the root of the problem and take action. With StriveCast Analytics,no issue of any kind will remain unnoticed.
"We use StriveCast Analytics to find performance differences between customer groups. Within one week, we were able to increase our ad revenue by 23% because we improved user experience based on data from StriveCast Analytics."

Using StriveCast Analytics takes no longer than a few minutes. All you need to do is integrate our SDK into your application. That's it. Turn on your video stream and StriveCast Analytics will start to collect all available data in real time.
Create a StriveCast Analytics account and enter your domain.
Install the StriveCast Analytics Javascript code on your website.
Start your video player and enjoy content.

Segment your audience into groups based on client data to get even more out of your data.
METRIX' powerful analytics tool comes with device data collection. You can filter all data by country, operating system, used browser, network type and much more!
Use a robust error detection system and build custom triggers based on all available data.
Improve customer experience the data-driven way in order to increase ad revenue.
Build data segments based on end user data and behaviour to find quality deviations within specific device groups or regions.
Use segmentation to focus on those scenarios where customer satisfaction decreases and ad revenue get lost.