Conditional dimensions
The conditional dimensions can be found in the Dimensions menu.
Want to know more about Dimensions? The Dimensions in Adloop
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Conditional dimensions are very useful if you want to see your data another way than whatβs offered natively in Adloop. For example, you want to check the performances of your Social Ads per campaign objectives. Or you want to compare your branded and non-branded Search performances.
To create a conditional dimension you click on a conditional dimension
Give it a name
Select visibility
Choose category
Select conditions
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Step 1.
First, You have to give a name to your conditional dimension. Give it a clear name so you can identify it easily when creating a report.
Step 2.
You have to select a visibility. The options you can choose from are: Hidden, Primary, Secondary
Ideally, you would chose Primary for those dimensions that are the most important and Secondary for those that will appear below the line.
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Step 3.
Choose the category based on the dimensions used for the conditional dimension. The categories you can choose from are the following: Affiliation, Analytics, Custom, Direct, Display, Email, Retargeting, SEA, Shopping, Social Ads, Social organic, Spot TV, Video
Step 4.
You have to set the rules for each value that your dimensions will have. For example here, Facebook Ads campaigns can have one of the following objectives : Reach, Interaction, View, Traffic
You can combine several rules for each value. For example here, there is an added rule: or facebook campaign name contains interaction in small letters.Β
Then the dimension value will be, in this case, a fixed value : βinteractionβ.
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If you want to set up additional dimension values you can, by clicking on the add a new dimension value button.Β
Finally, all of your campaigns have an objective, so nothing should be left blank, but in case that happens you can put βN/Aβ for not available in the βelse the dimension value will beβ field.
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Then click on the Create/Modify button and you can already use your newly created dimensions in all your reports.
Use-Case examples
Market dimension
You can create a dimension βMarketβ that you can include in your reportings to differenciate performances of your different markets.
This dimension will use your Campaign or Adgroup or Account names (or any other dimensions) to identify correctly the market.
For each data-sources, youβll indicate how your market is identified in the campaign name.
Example: βFRβ in the Google Search Account Name or βFRβ in the Google Search Campaign Name indicates that the campaign is targeting the French market.
Repeat for each value of your Market dimension (values: Monaco, AmΓ©riques, UK etc.)
Brand / Not Brand
You can create a dimension βBrand / Not Brandβ that you can include in your reportings to differenciate performances of your branded campaigns from your non-branded campaigns.
This dimension will use your Campaign or Adgroup or Account names (or any other dimensions) to identify correctly the branded / non-branded campaigns.
For each data-sources, youβll indicate how those campaigns are identified in their naming.
Example: β_Brand_β in the Google Search Account Name or β_Brand_β in the Google Search Campaign Name indicates that the campaign is using Branded keywords or targeting.
Repeat for each value of your Market dimension (values: β_Generic_β etc.)
Use normalized dimensions for easier use
If you have several channels from the same group that youβd like to base a conditional dimension on, we recommend using the normalized dimensions. It will make the creation of the conditional dimension much faster.
Example : You have TikTok, Meta, Snap & Pinterest campaigns that you want to differenciate between the Always On campaign and the temporary ones.
Youβll use the Social Ads Campaign Name to create your condition instead of TikTok Campaign Name, Meta Campaign Name, Snap Campaign Name and Pinterest Campaign Name.
If you have 2 values for your conditional dimension, youβll have to create only 2 conditions instead of 8.
Naming convention advise
Our conditional dimensions use your dimensions naming. Then, for the sake of maintenance and easiness of use of our conditional dimension, it is important that the naming in your advertising is consistent.
Ex: If you created a βMarketβ custom dimension based on the condition βGoogle Search Campaign Nameβ contains βUKβ to have the βUnited Kingdomβ value for this βMarketβ dimension.
If tomorrow, you name a campaign βxxxxx United Kingdomβ, it wonβt have the βUnited Kingdomβ value because it doesnβt comply with the initial condition.
If tomorrow, you name a campaign βLUKEβ, it will have the βUnited Kingdomβ value because it does comply with the initial condition.
Our recommendation would be to have a consistent naming convention accross your channels and also to use _ or - to avoid any mistakes.
To give a couple of examples:
-FR- or FR_ to indicate France
-Brand- or BRD_ to indicate Branded campaigns
AlwaysOn- or AlwaysOn_
etcβ¦