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The No-code Data Layer allows you to filter and transform analytics data on the fly — no engineering effort required. Whether you want to exclude internal traffic or adjust event names, this feature gives you full control over your data without having to write new code.

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What can you do with the No-code Data Layer?

You can:
  • Filter out events that you don’t want to collect.
  • Transform event data by renaming event names or properties.
  • Define specific rules for each component (e.g. Google Analytics, PostHog).
One of the most powerful aspects of the No-code Data Layer is that all of this happens without requiring code changes or deployments. This is perfect when you don’t own the frontend code or just want to test changes quickly. You can iterate in real time, verify your changes using debugging tools, and fine-tune data delivery to your analytics providers, all from the Edgee dashboard.

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Filter out unwanted events

In some cases, you need to filter out events that you don’t want to track on certain analytics platforms. To do that:
  1. Open the No-code Data Layer section in your Edgee dashboard.
  2. Click Add Filtering Rule.
  3. Choose a component (e.g. Google Analytics).
  4. Set the filtering condition. For example:
Filtering rule configuration based

Example of setting up a locale-based filtering rule

This tells Edgee to block any event coming from the fr-fr language locale. Learn more about the Data Layer structure and what event fields are available here.
Please note that propagation is near real-time, but not instantaneous. Wait a few seconds and refresh your debugger to confirm changes.

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Transform event data

You can modify event names and properties on the fly, without needing to update or redeploy your code. This is especially useful when you need to:
  • Standardize naming across multiple destinations.
  • Align event names with external schemas.
  • Shorten or simplify property keys for consistency.

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Rename an event

Let’s say your frontend sends an event called button_click, but your Amplitude component expects it as click_button. You can easily adjust this using a data manipulation rule:
  1. Go to the Data Manipulation tab
  2. Click Rename Track Event
  3. Set the rule:
    • Event name: button_click
    • New name: click_button
  4. Apply the rule to the desired component (e.g. Amplitude)
Now when you inspect the debugger:
  • Amplitude receives the renamed click_button event.
  • All other destinations continue to receive button_click event.
Each manipulation rule can rename one event name at a time. Create multiple rules if you need to rename multiple events.

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Rename a property

You can also rename properties inside your events. For instance, if you want to rename the category property to cat:
  1. Go to the Data Manipulation tab
  2. Click Add Manipulation
  3. Set the rule:
    • Property name: category
    • New name: cat
  4. Apply it to the relevant component (e.g. Amplitude)
This change only applies to the properties object within track, page, and user events.
Data manipulation rule to rename buttonclick to click_button

Example of a data manipulation rule to rename an event and its properties.

These transformations allow you to experiment, align with external schemas, or clean up your analytics structure — all without ever editing your codebase.

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See it in action

Once your rules are set:
  1. Enable debugging by visiting your site with ?_edgeedebug=true
  2. Interact with the page (trigger events)
  3. Return to the Debugging tab in your Edgee dashboard
  4. Inspect your events — they’ll reflect any filtering or transformation rules applied
Use the Details view to see exactly what was sent to each component.
This view can expose internal values like IPs or API keys — please only share screenshots with trusted teammates.

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Summary

With Edgee’s No-code Data Layer, you can:
  • Filter out unwanted events like internal traffic
  • Rename and reshape event data to match your schemas
  • Apply changes per component (e.g. different naming for PostHog vs Google Analytics)
  • Test and debug everything in real-time
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