Use Case

You can use Canvs to identify the top resonating moments from an airing to repurpose for your content and editorial strategy.

This allows TV and news professionals to quickly identify content that over-indexes emotionally with their audience in order to create more engaging online content.

Case Study

In the example below, we studied moments within Megyn Kelly Today's premiere episode to answer the question "What is working (and not working) for Megyn Kelly's new show?"

We learned that the "ask the audience" segment was not well received. There were large levels of Hate, Brutal, and Dislike Reactions, while Love remained lower.

Ask the Audience Segment – Controversial 

Later in the airing, a segment where Megyn Kelly had mimosas with the other Today hosts was much more favorably received. Enjoy and Love ranked as the top Emotions.

Mimosas with other Hosts – Much more favorable

Let's explore how we were able to create these insights. 

Step-By-Step Guide

First, locate the airing you want to analyze.

  1. Click the date range on the upper-right of the content page to change the airing/episode. 
  2. The filter options will appear. Select the Season and then the specific Airing you want. 
  3. Click Apply to navigate to the airing view of the specific episode.

Once you are viewing the linear airing for the episode, click the Airtime button to zoom in to a minute-by-minute analysis of the airtime window.

Click on Canvs' Video button to active the Canvs video player.  

The video player will begin playing at the start of the airing when you click the Video button. When the video player is active, Canvs will automatically highlight the Reactions that occurred within that minute of the airing, allowing you to see how fans Reacted to what they saw on the screen.

To scrub to specific moments of the airing, drag and hold the cursor over the bar you want to analyze. The video player will move to that minute and show what was onscreen, as well as how fans Reacted to it. 

If you select the largest spikes in Emotional Reactions, you can quickly diagnose the moments that drove the highest response. These moments make highly effective pieces of content as part of your larger editorial strategy.

Note: We recommend analyzing one or two minutes before a spike in Reactions to understand what drove fan Emotions. It often takes some time for fans to type and post a tweet.

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