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 what’s 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

  1. Give it a name

  2. Select visibility

  3. Choose category

  4. 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 : β€œinteraction”.

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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 β€œN/A” for not available in the β€œelse the dimension value will be” 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 β€œMarket” 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, you’ll indicate how your market is identified in the campaign name.

Example: β€œFR” in the Google Search Account Name or β€œFR” 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 β€œBrand / Not Brand” 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, you’ll indicate how those campaigns are identified in their naming.

Example: β€œ_Brand_” in the Google Search Account Name or β€œ_Brand_” 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€œ_Generic_” etc.)

Use normalized dimensions for easier use

If you have several channels from the same group that you’d 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.

You’ll 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, you’ll 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 β€œMarket” custom dimension based on the condition β€œGoogle Search Campaign Name” contains β€œUK” to have the β€œUnited Kingdom” value for this β€œMarket” dimension.

If tomorrow, you name a campaign β€œxxxxx United Kingdom”, it won’t have the β€œUnited Kingdom” value because it doesn’t comply with the initial condition.

If tomorrow, you name a campaign β€œLUKE”, it will have the β€œUnited Kingdom” 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_

  • etc…