Reviewing Keywords for Below-Average Ad Relevance Scores

Review keywords biweekly by ad group, and use a six-week period to identify and address below-average ad relevance scores.

Objective:

To review keywords every two weeks, by ad group, and set a time frame of six weeks to identify below-average ad relevance scores and take necessary actions to improve performance.

Key Steps:

  1. Access Google Ads:
    • Set the time frame to six weeks.
    • Filter by conversion.
    • Check ad relevance score (add as a column if not visible).
  2. Analyze Top Converted Keywords:
    • Identify keywords with below-average ad relevance scores.
    • Check the click-through rate and conversion rate for validation.
    • Verify if keywords are prominently featured in the ad.
  3. Create a New Ad Group for Specific Keywords:
    • Select keywords related to the low-performing ones.
    • Create a new ad group with specific ad copy focusing on those keywords.
    • Monitor performance for four weeks.
  4. Optimize Headlines:
    • Ensure headlines align with targeted keywords.
    • Use qualifiers like “near me” for location-specific keywords.
    • Emphasize unique value propositions related to the keyword.
  5. Adjust Landing Page:
    • Test new URLs to improve the landing page experience.
    • Ensure landing page content is relevant to the ad copy and keywords.
  6. Monitor Ad Performance:
    • Compare the performance of the new ad group with the existing one.
    • Determine whether to continue with separate ad groups or consolidate based on performance.

Cautionary Notes:

  • Ad relevance scores may not always be displayed immediately; allow time for data collection.
  • Use common sense to evaluate performance against Google’s ad relevance scores.
  • Regularly monitor and adjust ad groups based on performance data.

Tips for Efficiency:

  • Regularly review and update keywords and ad groups every two weeks.
  • Utilize qualifiers like “near me” for location-specific keywords to improve relevance.
  • Keep track of changes made and their impact on performance for future reference.
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