How to make your Social Video Marketing more effectivePlayable adds AI and data science to the video content process to deliver more predictable and effective social video marketing campaigns
How to make your Social Media Video perform better
The video opposite provides a glimpse of this frame by frame analysis in action where computer vision is being used to watch every pixel of every frame, to identify the objects, events, faces, and sentiments of a video.
Different predictive models are created for different success metrics, depending on your marketing objectives. Typical objectives against which models are developed include viewing duration, click-through rate, number of shares, or downstream conversion metrics, such as basket or checkout events.
1. Computer Vision Analysis
The technology has been built in conjunction with a videographer with 100’s of elements of the craft captured.
2. Data driven video edits
The AI also considers the importance of brand and messaging, with the inclusion of branding and key messaging within the video either from content within the source video, or by adding logos and text overlays.
3. Test and Optimize
The results of all tests are fed back to further train the AI on the videos performance. This continuous feedback loop is designed to exploit all the learnings and drive the effectiveness of all future campaigns.
Expert advice and first class service
We’ll help you with everything from AI video editing to real time A/B testing. Access our email support & phone support as and when you need it.