N-grams are contiguous sequences of n words — unigrams (single words), bigrams (two words), and trigrams (three words) — that collapse massive keyword lists into their core components to reveal hidden patterns. To use them for keyword research, break thousands of long-tail queries into a smaller set of n-grams, aggregate performance metrics (clicks, cost, conversions) for each, and high-impact themes surface quickly. This lets you find negative keywords (n-grams that spend budget with no conversions, like “free,” “jobs,” “reviews”), discover positive themes (high-converting n-grams like “24/7,” “emergency,” “local” that deserve their own ad groups or content clusters), and reduce dimensionality — turning 100,000 unique search terms into a few thousand n-grams you can actually analyze.
Full guide → Advanced Query Analysis Techniques: N-grams, Levenshtein & Jaccard
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