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

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

1. Search Functionality
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- Use the search bar at the top of the table to quickly find specific elements by name

2. Comprehensive Metrics
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View detailed data for each page element, including:
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- Clicks

- Purchases

- Revenue

- Conversion Rate

- Average Order Value (AOV)

- Revenue Per Click (RPC)

- Revenue Per Session (RPS)

- Visibility (what % of customers see each element)

3. Full Page Metrics
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- 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
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- 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
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- Resize the data table by dragging its edges to fit your viewing preferences

- Close the table using the 'X' button in the top right corner when you're done

6. Data Export
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- Use the export button in the top right corner to download your data for further analysis or reporting

7. Comparison Mode Compatibility
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- The data table works seamlessly with comparison mode, allowing you to analyze metrics across different segments or time periods

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 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.

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.

- Saves time by eliminating manual labeling

- Ensures consistent naming across your site

- Improves accuracy of heatmap and user behavior analysis

To ensure the most accurate AI naming results:

1. Use standard best practices when building your website.

2. Implement proper naming conventions for your HTML elements.

3. Use appropriate HTML tags and elements for their intended purposes.

4. 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 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.

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:
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- 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:
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- 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.

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 Included

Full Page Metrics typically include:

- Total Clicks

- Total Purchases

- Total Revenue

- Overall Conversion Rate

- Average Order Value (AOV)

- Revenue Per Click

- Revenue Per Session

- Visibility

- 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.

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:
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- Navigate to the Data Table view in your heatmap dashboard

- Look for the "Export" or "Download" 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:
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- The CSV file will start downloading immediately to your device

- No need to wait for emails or access other platforms

4. Customizing Your Export

Before exporting, you can customize the data included:

a) Select Columns:

- Choose which specific metrics to include in your export

- Helps focus on the most relevant data for your analysis

b) Filter Data:

- Apply any active filters to your export

- Ensures your exported data matches your current view

c) Date Range:

- Specify the time period for the data you want to export

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.
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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.