Want to evaluate how different configurations impact the performance of the AnyClip Player? Whether you prefer to conduct tests independently or with the assistance of your AnyClip AM, the platform offers versatile options for conducting AB tests.
Self Testing Using Embed Code Variant Parameter
If you prefer hands-on testing to understand how external factors influence player performance, the Embed Code Variant Parameter provides an ideal solution.
By simply passing different values for the data-variant
parameter corresponding to various page configurations, you can observe the impact on performance metrics. Your AnyClip AM can assist in setting up a dashboard to visualize performance KPIs for each data-variant value.
For instance, curious about the effects of relocating the AnyClip player? Implement the player at position X with data-variant="a
" for one set of sessions, and at position Y with data-variant="b"
for another. This allows for a comparison of performance metrics affected by different implementations.
For more detailed information on utilizing embed code parameters, refer to our documentation.
Testing Different Player Configurations with AnyClip AM Support
Interested in examining how alterations to player configuration influence performance metrics? The AnyClip player offers a robust AB test configuration, enabling the testing of up to 5 distinct player configurations.
With the assistance of your AnyClip AM, you can easily set up and conduct tests, randomly dividing traffic between different player versions.
Any aspect of player configuration, such as appearance, initiation, floating behavior, content, ad setup, and more, can be modified and tested across targeted traffic segments.
Simply communicate your testing requirements to your AM, and await the insightful results.
For example, wishing to analyze the impact of control panel color changes on viewability, engagement, and monetization? Your AnyClip AM can configure up to 5 different color schemes for testing, allowing for a comprehensive evaluation of each configuration's effect on desired KPIs.