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- Account
- What does one credit count as?
- What is a credit?
- Why can’t I remove a user from my company’s account?
- How do I remove a user from my company’s account?
- I have more questions. How can I reach you?
- Can I delete my account?
- What does one design test count as?
- Do credits reset every month?
- How do I keep track of my remaining credits?
- How can I manage seats on my team?
- Features
- How to interpret video testing results?
- What is the visibility benchmark?
- What is Video Testing – A Short Guide
- What are AI recommendations?
- What is the Focus score and how to interpret it?
- What is a Contrast map?
- What is a Focus map, and how to interpret it?
- What is the best Clarity score?
- How are the heatmaps generated by AI?
- What is an AI-generated attention heatmap?
- What is the difference between Areas of Interest and Percentage of Attention?
- How do I interpret Clarity Score?
- How do I define Areas of Interest?
- How do I interpret Percentage of Attention?
- What makes Attention Insight different from other heatmaps?
- Functionality
- Why can’t I draw Areas of Interest below the fold?
- Can I get separate heatmaps for different demographic groups?
- Does Attention Insight provide design recommendations?
- Can I analyze more than one image or URL at a time?
- Can I analyze mobile designs?
- Why does Attention Insight analyze a website above the fold when you load a URL?
- Getting Started
- Plugins
- Attention Insight and Zapier integration – Adding shareable links to the heatmap analysis results in Google Sheets
- Generate Attention Heatmaps on all image files in Google Drive folder
- How to install Photoshop plugin?
- How to generate heatmap using Photoshop plugin?
- How to install Sketch plugin?
- How to generate heatmap using Sketch plugin?
- How to install Figma plugin?
- How to generate a heatmap with Figma plugin?
- How to generate heatmap with Adobe XD plugin?
- How to install Adobe XD plugin?
- Use cases
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What is the visibility benchmark?
The Visibility Benchmark shows how prominent your Areas of Interest (AOIs) are compared to the industry standard. It can be found under the ‘Benchmark’ tab on the left sidebar.
To view this benchmark, you must first outline at least one Area of Interest (AOI) and then choose a preset name from the dropdown menu.
Currently, the Visibility Benchmark is available for Desktop, Mobile, Marketing Material, and Posters analysis types.
How does it work?
Once drawing any AOIs and selecting their corresponding name from the dropdown menu, the benchmark result will appear in the left sidebar alongside the details of that AOI. Choosing the correct name is crucial for our system to accurately recognize the outlined AOI and generate the appropriate benchmark results. Ensure the AOI name matches exactly with the one listed in the dropdown menu for precise identification.
Upon choosing the correct AOI name, in the left sidebar, you will see the name of the AOI, its Percentage of Attention, and a benchmark analysis indicating whether this percentage is above, below, or at the average level. This is further highlighted by a color-coded dot preceding the AOI name: green signifies above average, yellow for average, and red indicates below average attention.
If your AOI’s attention percentage is above average, your design is likely effective as is. An average score might prompt a review to see if improvements are desired, while a below-average score suggests a need for adjustments to enhance visibility, possibly even requiring a change to the entire layout.
How was the benchmark created?
This benchmark was developed using statistics from the AOIs drawn by our clients. We calculated the average values for each element across different analysis types. With this information, you can assess how your performance compares to others in the market.
Related Knowledgebase
- How to interpret video testing results?
- What is Video Testing – A Short Guide
- What are AI recommendations?
- What is the Focus score and how to interpret it?
- What is a Contrast map?
- What is a Focus map, and how to interpret it?
- What is the best Clarity score?
- How are the heatmaps generated by AI?
- What is an AI-generated attention heatmap?
- What is the difference between Areas of Interest and Percentage of Attention?
- How do I interpret Clarity Score?
- How do I define Areas of Interest?
- How do I interpret Percentage of Attention?
- What makes Attention Insight different from other heatmaps?