Video Testing Properties
- Data comparison framework
Your audience is the group of people who will react to your video ads. Determining your target audience, and whether your ad is connecting with that audience, is key to your video ad testing.
The most effective method is to target your participants based on their behaviors and responsibilities. Helio’s Ready-Made Audiences provides over 1,000 pre-set groups of participants targeted by their actions and ideas. We used one of these ready-made audiences, Male Formalwear Online Shoppers in the US, to test the usability of our men’s eCommerce clothing site.
If you’d like to build a custom audience or tweak one of our ready-made groups, our team can help target the right participants. Start by identifying the unique traits that make a participant someone you need feedback from, and then reach out to our team to begin building that audience.
You can test a single video ad throughout the production process, or measure multiple ads against each other to see which comes out on top.
There are several ways you can put your video ads to the test, from measuring comprehension to gauging emotional reactions. Helio offers 10 question types that help learn about your video ad, such as numerical scales to create a Net Promoter Score or direct A/B preference tests.
Once you’ve set up your questions and sent your test, responses will start appearing in a matter of minutes. Much of the qualitative data is displayed through Helio using bar graphs, and the qualitative responses are collected under the Response panel on the right side of the data report.
This combination of quant and qual data will show you how participants react to your video ads, and most importantly, why.
Data Comparison Framework
This type of framework elevates your data game and makes the comparison between ad variations more clear. We use these type of frameworks often to clearly compare data sets and make the collection of our data more actionable.
Check out our section on setting up the video testing and interpreting the results to learn more about using a data comparison framework yourself.