With labels, you can organise the elements in your account into meaningful groups so that you can quickly and easily filter and report on the data that is of most interest to you. You can apply labels to keywords, campaigns, ad groups and ads, which enables you to see how the custom categories you create are performing relative to each other and to the unlabelled elements in your account.
This article explains how labels work and illustrates the differences between using labels with campaigns, ad groups and keywords.
Why use labels
The following example scenario shows how you might use labels to compare how well keywords perform across multiple campaigns.
Bob is an online retailer that sells clothing and accessories for men and women. He has campaigns for shoes, clothes and bags for each of his three major markets (New York, Massachusetts and Pennsylvania) and within the campaigns has separate ad groups for generic and brand keywords. This structure (example: New York - Shoes - Generic and Massachusetts - Shoes - Generic) means that he has the same ads and keywords in different parts of his account.
Without labels, Bob can't easily sort his account or run a report to see how well trainers are selling in London compared to Bristol. With labels, however, Bob can create the label "trainers" and apply it to all trainer-related keywords across his account. He can then filter his keywords by this label to only see trainer keywords.
In the previous AdWords experience, Bob can use the Dimensions tab labels reports to aggregate performance by label. These reports allow him to compare, for example, how trainers perform against all other shoes, or how the label 'trainers' compares with other individual labels.
How labels work
The diagram below illustrates how you can use labels to gauge the performance of custom categories across your account. In this example, you've applied two labels, "Favourite" and "Brand" to different elements in your account. It's important to know that labels aren't inherited down throughout the campaign. This means that if you apply a label to a campaign, the label only applies to that campaign, not the ad groups and keywords that are within that campaign. If you want a label to apply to an ad group or individual keyword as well, you'll need to specifically apply the label to each.
There are four kinds of label reports that you can run, one for each element-type: campaigns, ad groups, ads and keywords. Learn how to create, use and manage your labels and labels reports.
When you run a labels report for your campaigns, you see that the label 'Favourite' is associated with 18 clicks. That's because the total clicks for all the keywords under the Campaign no.1, which has the "Favourite" label applied to it, was 18. The label 'Brand' is associated with 15 clicks because the keywords in Campaign no.2, which has the 'Brand' label applied to it, received 15 clicks.
|Ad Group-level Reporting|
But, because labels aren't inherited, things look different when you run a report at the ad group level. In this account, there is only one ad group with a label applied to it: Ad group no.2 in Campaign no.1. The keywords under this ad group received a total of four clicks. So, when you run a labels report for your ad groups, the label "Favourite" is credited with four clicks. The label 'Brand' received zero clicks at the ad group level because there are no ad groups in this account with the label 'Brand'. All other keywords in unlabelled ad groups received 29 clicks total.
Reporting at the keyword level provides a different view. Here, "Favourite" received 17 clicks (keywords A and E), and "Brand" received 12 clicks (keywords A and F) because those are the total clicks on keywords with those labels. Note that the 7 clicks for keyword A are counted in both rows because keyword A has both labels applied to it. Because it's likely that many of your keywords will have more than one label, it's unlikely that the number of clicks in each row will add up to the total number of clicks. All other unlabelled keywords received 11 clicks total.