search-term-ngrams

N-gram analysis groups individual search terms into multi-word phrases (n-grams) to reveal aggregate performance patterns, surfacing budget-wasting tokens or high-converting themes that remain invisible at the single-term level.

N-gram analysis groups individual search terms into multi-word phrases to reveal aggregate performance patterns, surfacing budget-wasting tokens or high-converting themes that remain invisible at the single-term level for PPC account hygiene.

Yes, you need the Porter Metrics MCP to fetch raw search-term data and process it through deterministic n-gram analysis to mine search terms for waste and winning themes.

Yes, LLM-adjudicated safety checks apply blast-radius protection to prevent the accidental exclusion of brand-driving or load-bearing terms when adding mined n-grams to your negative keyword lists.

The best way to discover new themes is using n-gram aggregation to surface high-performing multi-word phrases that represent successful customer intent, which you can then expand into new ad groups or keywords.

You should use n-grams because individual search terms often lack sufficient volume to show performance patterns, whereas n-gram aggregation reveals budget-wasting tokens and high-converting opportunities across your PPC account.