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AdGradr Docs

Keyword Duplication

What AdGradr checks

Section titled “What AdGradr checks”

AdGradr scans for the same keyword appearing in multiple ad groups within the same campaign. When two ad groups contain the same keyword (same text, same match type), they compete against each other in the auction. Google picks one to enter, but the internal competition can inflate your effective CPC and fragment your performance data.

AdGradr flags accounts based on the percentage of duplicated keywords. High duplication rates (above 20%) receive a more significant flag than moderate rates. The report lists the top 5 duplicated keywords ranked by combined spend so you can prioritize fixes.

Geo-segmentation detection

Section titled “Geo-segmentation detection”

AdGradr recognizes geo-segmented campaign structures: 3 or more campaigns sharing a naming prefix with varying geographic suffixes (e.g., “Plumbing - Chicago,” “Plumbing - Dallas,” “Plumbing - Phoenix”). In these structures, cross-campaign duplication is expected and intentional. AdGradr only flags duplication within the same campaign.

Why this matters

Section titled “Why this matters”

When the same keyword lives in two ad groups inside one campaign, Google must choose which ad group enters the auction. That selection is based on Ad Rank, which means your own ad groups bid against each other indirectly. The result:

  • Fragmented data. Clicks, conversions, and Quality Score history split across duplicate entries. You cannot get a clear read on true keyword performance.
  • Wasted optimization effort. Pausing a keyword in one ad group does nothing if it still runs in another. Bid adjustments and negative keywords become unreliable.
  • Inflated CPCs. In competitive auctions, internal competition can push your effective cost per click higher than it needs to be.

What good looks like

Section titled “What good looks like”
  • Each keyword appears in exactly one ad group per campaign. No duplicates.
  • Ad groups organized by theme. Related keywords grouped together, with ad copy and landing pages tailored to that theme.
  • Geo campaigns use location targeting, not keyword duplication. “Plumber near me” in a campaign targeted to Chicago does not need a separate “plumber Chicago” keyword if geo targeting is set correctly.

Common mistakes

Section titled “Common mistakes”
  1. Copy-pasting keyword lists across ad groups. This is the most common source. Someone builds a new ad group and drops in the full keyword list from an existing one instead of splitting by theme.
  2. Adding the same keyword in multiple match types across ad groups. “CRM software” as broad in Ad Group A and “CRM software” as exact in Ad Group B within the same campaign creates overlap. Keep match type variants in the same ad group or use negative keywords to prevent collision.
  3. Restructuring campaigns without deduplicating. After splitting or merging ad groups, leftover keywords from the old structure often remain. A post-restructure audit catches these.
  4. Automated rules or scripts adding keywords without checking for existing entries. Bulk operations and third-party tools can introduce duplicates silently.

How to fix it

Section titled “How to fix it”
  1. Export your keyword report with columns for Campaign, Ad Group, Keyword, Match Type, and Spend.
  2. Sort by keyword text and match type. Duplicates within the same campaign will appear adjacent.
  3. For each duplicate pair: Keep the keyword in the ad group where it has the best Quality Score, most conversion history, or best thematic fit. Pause or remove the duplicate.
  4. Add negative keywords if needed to prevent the remaining keyword’s ad group from cannibalizing traffic from other ad groups.
  5. Set up an automated rule or script to flag new duplicates weekly. Duplication creeps back in during routine account management.

When to ignore this check

Section titled “When to ignore this check”
  • Cross-campaign duplication in geo-segmented accounts is expected and not flagged. If “roof repair” appears in both your Chicago and Dallas campaigns, that is correct structure.
  • Intentional A/B testing where you temporarily run the same keyword in two ad groups to test different ad copy or landing pages. Clean it up once the test concludes.
  • Shared keywords across Search and Shopping campaigns. This check only evaluates search campaigns against themselves, not cross-campaign-type overlap.

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