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About

In the world of Pay-Per-Click (PPC) advertising and Search Engine Optimization (SEO), relevance is the currency of success. A Negative Keywords Analyzer is a critical diagnostic tool designed to cross-reference your list of desired search queries (or actual search term reports) against your list of negative keywords.

This tool solves a two-fold problem: it verifies that your negative keywords are effectively blocking unwanted traffic, and it detects "keyword conflicts"—instances where a negative keyword is inadvertently blocking a high-value search term. By ensuring your exclusion lists are precise, you protect your Quality Score, increase Return on Ad Spend (ROAS), and ensure your content reaches the intended audience without budget wastage on irrelevant clicks.

ppc google ads keyword research sem ad spend optimization

Formulas

This tool operates on string matching algorithms rather than arithmetic formulas. It processes text data through the following logical steps to determine conflicts:

  • Step 1: Normalization. Both the Search Queries and Negative Keywords are converted to lowercase and stripped of leading/trailing whitespace to ensure accurate matching.
  • Step 2: Tokenization. The tool splits the inputs into arrays based on newlines, creating distinct items for analysis.
  • Step 3: Iteration & Matching. For every Search Query ($Q$), the tool iterates through the Negative List ($N$).
    If $Q$ contains the substring $N$ (Phrase Match logic), the query is flagged as excluded.
  • Step 4: Classification. Results are sorted into two buckets: Blocked Queries (Conflicting) and Allowed Queries (Safe).

Reference Data

Match TypeSyntax ExampleLogic DescriptionImpact on Budget
Negative Broadrunning shoesBlocks query if all words are present, in any order.High (Aggressive filtering)
Negative Phrase"running shoes"Blocks query only if the exact phrase is present in that order.Medium (Balanced precision)
Negative Exact[running shoes]Blocks query only if it matches the keyword exactly, with no extra words.Low (Specific targeting)
Close Variantruning shoesGoogle may still block misspellings, but tools often require exact string matches.Variable

Frequently Asked Questions

A conflict occurs when a negative keyword you have added to your campaign inadvertently blocks a search term that you actually want to bid on. For example, if you sell 'luxury glasses' but add 'glasses' as a negative keyword (intending to block 'drinking glasses'), you block your own product.
Currently, this analyzer uses standard string inclusion logic (similar to Broad Match/Phrase Match in Google Ads). It checks if the negative text string exists anywhere within the search query.
If your negative keyword list contains very short, common words (e.g., 'free', 'online', 'top'), they might be triggering false positives by matching parts of longer words. Ensure your negative keywords are specific enough to avoid over-filtering.
Yes. You can use it to filter raw keyword research data. By running a massive list of potential keywords against a 'stop words' list (e.g., 'cheap', 'free', 'crack'), you can clean your dataset to focus only on high-value commercial intent keywords.