Custom DimensionsIntroductionCustom dimensions is a feature that allows you to capture non-standard data in AdGlare. Think of them as customized data fields tailored to your own specific needs. Once recorded, this data can be organized, filtered and analyzed to gain deeper insights into your campaign's performance.What are custom dimensions?Custom dimensions go beyond built-in dimensions like the user's device, geolocation data or ad format. Here's an example: Now your custom dimensions can be anything that completes this pre-defined list of dimensions. Examples are:
Why use them?Based on your persona, you can use custom dimensions for a variety of reasons. Examples are:
Prerequisites
How to implement them?A total of 5 indices are available for your custom dimensions. They are calledcd1 , cd2 , cd3 , cd4 and cd5 .
Here, "cd" stands for "custom dimension". To add them to the ad tag, append your data as a key/value pair. For example, if you want to log the subscription name in cd1 and the category in cd2 , you can add:
...&cd1=premium&cd2=cars
LimitationsThe following limitations apply:
Generating reportsTo get insights based on your custom dimensions, go to the Reports page and click your dimension from the list at the left:Changing labelsBy default, custom dimensions are labeled as "Custom 1-5". You can change the label to match the dimension that you're actually logging. As per the example above, this would be Subscription and Category. To do so, go to the Settings page, then choose Customizations => Dimensions. Change the labels accordingly.CaveatsIn AdGlare's reporting system, your custom dimensions are stored under the keys cd1-5. The label is only used in the UI. Consequently, if you happen to change the type of data you're sending for a specific dimension, please keep in mind that existing data logged under that custom dimension will not be erased. Old custom data may appear under your new label, which may seem wrong. It's best practice to stop using your custom dimension for a while (cd1 for example) before switching data types, or use one of the other available indices (cd2-4). |