|Available for||User roles||Super Admins, Admins|
|Plans||Enterprise, Professional, Starter|
To embed a tracking pixel on your Lever-hosted job site, go to your job site settings page. Under the optional "Tracking" section, you can add up to ten image tracking pixels from third-party partners that will allow you to track candidate conversions on your job postings. Please make sure to click "Save Changes" in the top right corner after adding your tracking pixels!
The tracking pixels you add here will be embedded within the final confirmation page after a candidate has submitted an application to any of your job postings.
Please note: Lever will only accept image tracking pixels, and will not accept scripts or iframes.
The tracking pixel provider will likely provide you with a full image tag, likely something in the style of:
<img height="1" width="1" src="https://example.com/trackingpixel.gif">
<img height="1" width="1" src="https://example.com/example/?script=0"> (Although this example says "script", it is actually still an image!)
However, all you need to input into Lever’s tracking pixel field is the src attribute that is encased in quotes, which must be a valid URL that can respond to a GET request and will generally always start with "https://". In this example, the src attribute is "https://example.com/trackingpixel.gif".
What will Lever do with this pixel?
Lever will append the candidate's unique Lever application ID to the URL, input it into an image tag, and embed it into every confirmation page after a successful candidate application. The final embedded image tag that will look something like this:
<img width="1" height="1" style="position: absolute; visibility: hidden;" alt="" src="[Actual Tracking Pixel URL]?LeverAppId=[Candidate Lever Application ID]">
Each of your tracking pixel URLs will be formatted in the above way and will fire upon the loading of every confirmation page, for every posting. This means that you should work closely with the partner providing the tracking pixel to understand how best to interpret or filter their data.