For this Improvement task, Opteo performs an n-gram analysis and finds words in your search terms frequently used as negative keywords by Google Ads accounts like yours.

How does this Improvement work?

We have trained a machine learning model using anonymised data from completed Improvement tasks. This allows us to predict potential negative keywords before irrelevant search terms accumulate any significant spending.

If a particular word (aka n-gram) appears in your search terms, and that word is frequently used as a negative keyword by Google Ads accounts like yours, Opteo will suggest adding that word as a negative keyword.

We'll also show examples of search queries in your account containing the word, giving you a feel for whether the word would make an appropriate negative keyword. If the example search terms appear relevant to your business, you should simply dismiss this improvement task.

What happens when I push this Improvement?

Completing this Improvement will add the word as a negative keyword (in phrase match) to a shared negative list at the account level.

Opteo will create a new shared negative list called "Keyword negatives for search campaigns (auto_gen_general)". By default, we'll add all new negative keywords to this shared list. You can rename this list if you'd like but keep the (auto_gen_general) part. We check for that tag each time we add a new negative keyword to avoid creating a new shared list every time.

Click 'Adjust' to choose a different shared negative list.

Technical notes

  1. We collect 1 year of search terms from enabled entities -- a search term's source campaign, ad group and keyword must all be enabled.

  2. We aggregate search terms from both search and shopping campaigns.

  3. We'll check your campaign-level negatives, your ad group-level negatives, and your shared negative lists to make sure that these search terms aren't already covered by a negative.

  4. We'll also check your existing positive keywords to ensure you're not deliberately targeting these search terms.

  5. We'll always add negative keywords using the phrase match type.


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