Google Ads Search Term Analyzer

The problem

Manual analysis of Google Ads search term reports is a tedious, error-prone process. Advertisers often struggle to identify wasted spend at scale or recognize new high-intent keyword opportunities buried in thousands of rows of CSV data.

What it does

• Statistically classifies search terms into scale, pause, or negative keyword buckets based on account-wide performance baselines.
• Maps high-performing terms to existing campaign and ad group structures or proposes new thematic structures for outliers.
• Calculates dynamic efficiency thresholds (CPA/ROAS) and allows for developer or user overrides.
• Generates a multi-tab, color-coded Excel workbook with filtered views, formatted metrics, and ready-to-copy negative keyword lists.

Frameworks & tools

Google Ads API, Python (Pandas/XLSXWriter), Excel (Formula recalc scripts).

Why this beats prompting it yourself

Generic prompts often hallucinate campaign structures or fail to maintain consistent classification logic across large datasets. This skill enforces rigorous statistical thresholds, handles complex Excel formatting and multi-tab exports, and ensures terms are categorized with specific rationale rather than vague guesses.

Use cases

• Identify and export negative keyword lists to immediately stop wasted spend.
• Perform an automated audit of a new client's Google Ads search history.
• Scale search campaigns by surfacing hidden winning queries for exact match expansion.
• Restructure messy accounts by grouping terms into tightly-themed ad group proposals.

Known limitations

Requires an export of search term data or a connected Google Ads MCP tool. Low-volume terms with fewer than 10-15 clicks are flagged as having insufficient data for confident recommendations.