QA Heatmap Analytics Features and Key Reports

QA Heatmap Analytics is designed to be a visual tool that anyone can easily use. This is one of the main features of Heatmap Analytics, but it may be difficult to understand, so let’s use a restaurant analysis as an example.

Why is it so difficult to analyze a website when you can imagine where to analyze a restaurant?

photo by pixabay.com

If you run a restaurant, it is important to look at the daily sales, but it is easy to imagine that it is not enough to improve the restaurant management. Looking at the numbers and making improvements is what we call monitoring, and we distinguish it from analysis.

In order to make your store go trendy, you need to focus on your customers and analyze them. However, this is something that everyone can understand if he or she thinks about it.

For example, in addition to sales, it is necessary to survey traffic and rival stores.

If the customers don’t keep coming back, you need to know if they are satisfied in the beginning. This can be done not only through questionnaires, but also by observing your customers carefully (basically they rarely respond honestly to questionnaires).

You can get hints on how to improve your service from what kind of menu they are eating, whether they are smiling, whether they seem to be having trouble, and what kind of conversations they are having.

If you can visualize users on your website, you can imagine where to analyze them.

Many analysis tools provide statistical monitoring functions, making it difficult to visualize your customers.

Unfortunately, unlike restaurants, we can’t directly see what users are doing when they visit a website.

QA Heatmap Analytics provides visualization of users, and we want to “visualize and imagine users” for many site owners. As a tool, we plan to sequentially implement reports that focus on visualization, such as the following

Key reports that provide visualization

  • Visualization of customer behavior
    • Session Replay
    • Click Map (measuring the number of button clicks)
    • HeatMap
    • Attention Map
    • Scroll Map
    • Real-time view
  • Macroscopic understanding of customer behavior
    • Each page view
    • Access by time zone
    • Comparison of access by time period
    • Segment
      • Classification of access by media
      • UTM-related classification
      • Check conversion user behavior later.