The Data Table feature in Heatmap.com provides detailed, quantitative insights into your webpage elements' performance. This powerful tool complements your visual heatmaps with precise metrics, allowing for in-depth analysis of user interactions and conversions.
Table of Contents:
Accessing the Data Table
1. Log into your Heatmap.com account
2. Navigate to your desired heatmap page
3. Click the "Data Table" button located at the top of the page to expand the feature
Key Features and Functions
1. Search Functionality
Use the search bar at the top of the table to quickly find specific elements by name
2. Comprehensive Metrics
View detailed data for each page element, including:
Clicks
Purchases
Revenue
Conversion Rate (eCVR)
Average Order Value (AOV)
Revenue Per Click (RPC)
Revenue Per Session (RPS)
Scroll % (what % of customers see each element)
3. Full Page Metrics
The first row of the table shows aggregated data for the entire page, providing a quick overview of overall performance.
Note: this is a combination of all elements so it will show higher numbers than “total page revenue.” This makes it easier to analyze page-by-page metrics vs sitewide metrics.
4. Interactive Element Highlighting
Click on any row in the table to highlight the corresponding element on your heatmap
A modal will appear with detailed data for the selected element
5. Customization Options
Resize the data table by dragging its edges to fit your viewing preferences
6. Data Export
Use the export button in the top right corner to download your data for further analysis or reporting
7. Comparison Mode Compatibility
The data table works seamlessly with comparison mode, allowing you to analyze metrics across different segments or time periods
Best Practices for Using the Data Table
1. Start with Full Page Metrics to understand overall page performance
2. Use the Search function to focus on specific elements of interest
3. Compare metrics between different elements to identify top performers and areas for improvement
4. Regularly export data to track changes over time or share insights with your team
5. Use in conjunction with visual heatmaps for a complete understanding of user behavior
The Data Table feature provides a powerful, data-driven complement to your visual heatmaps, offering a comprehensive view of your page's performance and user interactions.
AI Naming in Heatmap.com
AI naming is a powerful feature in Heatmap.com that automatically identifies and labels key elements on your website. This article explains how it works and how to use it effectively.
What is AI Naming?
AI naming uses a custom-built machine learning algorithm to analyze your website's structure and content and automatically assigns proper names to important elements like buttons, search bars, product tiles, and many others.
Benefits of AI Naming
Saves time by eliminating manual labeling
Ensures consistent naming across your site
Improves accuracy of heatmap and user behavior analysis
Best Practices for Accurate AI Naming
To ensure the most accurate AI naming results:
Use standard best practices when building your website.
Implement proper naming conventions for your HTML elements.
Use appropriate HTML tags and elements for their intended purposes.
Provide descriptive IDs and classes for important elements.
Following these practices will significantly improve the AI's ability to correctly identify and name elements on your site.
Customizing AI-Generated Names
Customizing element names in your data table helps you organize and analyze your heatmap data more effectively.
While AI naming is generally accurate, you can always adjust names if needed.
Here are the steps to update the element names:
1. Open Your Heatmap: Navigate to the heatmap page you want to modify.
2. Access the Data Table: Click on the "Data Table" button to view detailed analytics.
3. Locate the Element: Find the row containing the element you want to rename.
4. Click the Name Field: In the "Name" column, click on the current name of the element.
5. Edit the Name: A text input field will appear. Type in your desired new name.
6. Save Changes: Press Enter or click outside the field to save the new name.
7. Verify the Update: The data table will refresh, displaying the updated name.
Remember:
Choose clear, descriptive names for easy identification
Renamed elements will retain their new names in future sessions
Changes only affect your view and do not alter the website's actual HTML
Customizing names can help you:
Group similar elements together
Identify specific areas of interest more quickly
Create more meaningful reports
By renaming elements in your data table, you can tailor your heatmap analysis to your specific needs and make insights more accessible to your team.
Understanding Full Page Metrics in Data Tables
Full Page Metrics provide a comprehensive overview of your entire webpage's performance in Heatmap.com's data tables. This feature allows you to quickly assess overall user engagement and conversion metrics for the page you're analyzing.
What are Full Page Metrics?
Full Page Metrics aggregate data from all tracked elements on your webpage, giving you a bird's-eye view of page performance. These metrics appear as a special row at the top of your data table.
Where to Find Full Page Metrics
1. Open any heatmap in your Heatmap.com dashboard.
2. Click on the "Data Table" button to expand the data view.
3. The Full Page Metrics row is always the first entry in your data table, labeled as "Full Page Metrics."
Metrics Included
Full Page Metrics typically include:
Total Clicks
Total Purchases
Total Revenue
Total Conversion Rate (eCVR)
Total Average Order Value (AOV)
Total Revenue Per Click (RPC)
Total Revenue Per Session (RPS)
Total Scroll % (what % of customers see each element)
How to Use Full Page Metrics
Use these metrics as a baseline to compare individual element performance.
Track overall page performance over time.
Quickly assess the impact of page-wide changes or A/B tests.
Best Practices
Regularly review Full Page Metrics to understand overall page health.
Compare Full Page Metrics across different pages to identify top-performing and underperforming pages.
Use these metrics in conjunction with individual element data for a complete understanding of page performance.
How to Export Data Table Analytics
Heatmap.com offers a straightforward and efficient method for exporting your data table information.
This feature allows you to analyze your data offline, create custom reports, or share insights with your team. Here's a comprehensive guide to the export option available:
1. Accessing the Export Feature
To export your data:
Navigate to the Data Table view in your heatmap dashboard
Look for the "Export" button, typically located near the top-right of the data table
2. Export Format
We currently support one export format: CSV (Comma-Separated Values):
Best for importing into spreadsheet software like Excel or Google Sheets
Allows for easy data manipulation and further analysis
Compatible with most data analysis tools
3. Direct Download
When you initiate an export:
The CSV file will start downloading immediately to your device
No need to wait for emails or access other platforms
Image showing the downloaded data table information on a heatmap page
4. Customizing Your Export
Before exporting, you can customize the data included:
Filter Data:
Apply any active filters to your export
Ensures your exported data matches your current view
Date Range:
Specify the time period for the data you want to export
Image showing a customized data table information on a heatmap page
5. Exporting Comparison Data
If you're using the comparison mode:
The export will include data for both filters side by side
This allows for easy comparison of different segments offline
6. Data Privacy and Security
Exported files may contain sensitive information about your website's performance
Ensure you handle these files securely and in compliance with your organization's data policies
7. Tips for Using Exported Data
Regular Exports: Consider scheduling regular exports to track changes over time
Combining Data: Use spreadsheet software to combine exports for trend analysis
Creating Visualizations: Use the raw data to create custom charts or graphs
Sharing Insights: You can easily share the CSV file with team members who need access to the raw data
8. Troubleshooting
If you encounter issues with exporting:
Ensure your browser is up to date
Check your browser's download settings
Try clearing your browser cache
For persistent problems, contact our support team
Exporting your data table information as a CSV file allows you to leverage the insights from your heatmap analysis in various ways. This versatile format provides the flexibility to perform deep analysis, create custom reports, and share valuable insights with your team.
Need Help?
If you have questions or run into any issues while using Heatmap, our support team is here to help. Contact us anytime at Support@heatmap.com.