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Guide to Using the "Traffic by Location" Dashboard

Guide to Using the "Traffic by Location" Dashboard

1. Understanding the Dashboard

The "Traffic by Location" dashboard provides an overview of where your website traffic originates. It includes the following components:

  • Dimensions:

    • Country: Displays the country from which users are visiting.
    • City: Shows the specific city associated with the traffic.

  • Metrics:

    • Sessions: The number of visits from each location.
    • New Users: The count of first-time visitors from a particular location.
    • Bounce Rate: The percentage of single-page visits from users in a given area.
    • Screen Page Views Per Session: The average number of pages viewed in each session from a location.
    • Average Session Duration: The average time spent by users from specific locations on your website.

  • Date Picker:

    • Located at the top of the dashboard, the date picker allows you to customise the time range for your data analysis. Select a specific period to focus on seasonal trends, campaign performance, or user behaviour over time.

2. Steps to Extract Meaningful Data

Step 1: Analyse Traffic by Region

  • Review the Country and City columns to determine which regions contribute the most traffic to your website.
  • Use the New Users metric to identify areas with potential growth in your user base.

Step 2: Evaluate Engagement

  • Examine the Average Session Duration and Screen Page Views Per Session to understand how users from each region engage with your content.
  • Compare regions with high engagement to those with high Bounce Rates to identify where improvements may be needed.

Step 3: Use the Date Picker

  • Adjust the date picker to analyse specific time periods, such as during a marketing campaign or after launching new content. Comparing performance across different time ranges can reveal trends and insights.

3. Exporting Data

To analyse your traffic data further:

  1. Click the Export CSV button at the top of the dashboard.
  2. Save the file to your computer.
  3. Open the CSV file in a spreadsheet tool (e.g., Microsoft Excel or Google Sheets) to:
    • Filter and sort data by dimensions or metrics.
    • Create pivot tables and graphs for visualising trends.

4. Best Practices for Analysing Location Data

Focus on High-Performing Regions:

  • Identify locations with high session durations and page views per session. Tailor content and campaigns to capitalise on these regions.

Address Low-Performing Areas:

  • Investigate cities or countries with high bounce rates or low engagement. Review localised content, website performance, and user experience for potential improvements.

Compare Time Periods:

  • Regularly monitor location-based performance using the date picker. Comparing week-on-week or month-on-month data can help track improvements or spot issues.

5. Taking Action Based on Insights

  • Optimise Campaigns:

    • Increase your focus on areas with strong engagement metrics by creating region-specific campaigns or targeting ads to these locations.

  • Improve Underperforming Locations:

    • For regions with low performance, ensure your content is relevant, and your website is optimised for local languages, cultural expectations, and fast loading speeds.

  • Combine Location Data with Other Insights:

    • Use location data alongside traffic source, device type, or demographic data for a more comprehensive analysis of user behaviour.