For each audience and benchmark you monitor a product against, we'll generate an overall listing score, as well as separate hero and carousel scores. These scores measure visual effectiveness based on the likelihood of each asset to appeal to the audience, as well as the recommended amount and order of assets.
Using the first row in the screenshot above as an example, here's how to read these scores:
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- Hero Score: This listing's hero image is more effective for Amazon Shoppers than 96.5% of Electronics best seller product hero images.
- Carousel Score: This listing's carousel images are more effective for Amazon Shoppers than 77.1% of Electronics best seller product carousel images.
- Listing Score: Overall this listing's images are more effective for Amazon Shoppers than 86.8% of the best seller product listings in the Electronics best seller category.
You will find these scores throughout the monitoring pages of the Vizit platform, such as
1. in the Overview tab of the monitor preview drawer (click once on a row):
2. on the monitor details page (double click on a row or click 'open monitor' in the drawer):
FAQs
"How do I improve my score?"
There are 4 main ways to improve your score:
- Add at least 7 total images (1 hero, 6 carousel) to your listing
- Put carousel images in order of Vizit Score so that most appealing assets are first
- Optimize or replace lower-scoring assets, particularly those at the beginning of the listing
- Ensure that you have a diverse set of assets. A product with 8 duplicate or near duplicate assets will not resonate with your audience.
What does unscored mean?
Unscored assets are text heavy or low quality assets that do not have enough visual elements for the AI to measure visual effectiveness, so they're excluded.
Unscored assets don't count against your overall listing or carousel scores.
Why does my product have multiple rows or scores?"
A product can be monitored against multiple audiences or benchmarks, which produce different listing scores because a product's images might be more effective for one audience or category versus another. Each listing score will be listed as a separate row in the main monitors list page table.
For example, if you create a one monitor with two audiences and two benchmarks, there will be four sets of monitor scores.
1 Monitor x 2 Audiences x 2 Benchmarks = 4 sets of scores |
2 Monitors x 2 Audiences (for each monitor) x 2 Benchmarks (for each monitor) = 8 sets of scores |