N-Gram Analyzer for Amazon PPC — Find the Phrases Behind Your Search Terms
Paste your search terms, one per line, and instantly see the words and phrases customers type most — so you can harvest winners and cut the phrases quietly eating your budget.
- Private — nothing leaves your browser
- No signup or login
- 1, 2 & 3-word phrase tables
- Copy or download as CSV
N-Gram Analyzer
Paste search terms from any Amazon search term report and the analyzer counts every 1, 2 and 3-word phrase inside them — plain frequency math on the text you paste, nothing pulled from Amazon. High-frequency phrases usually point at your root keywords; phrases that appear across lots of spending terms but never convert are your negative keyword candidates.
Why run an n-gram analysis on your Amazon search terms?
Search term reports show you exact shopper queries, but they don't show you the patterns. N-gram analysis breaks thousands of queries into their component phrases, revealing the root words behind your clicks, spend, and sales — the signal buried in the noise.
Use it two ways: harvest frequent phrases into exact-match campaigns, and flag phrases that appear across lots of spending terms without converting. Those are your negative keyword candidates. Pair it with the Search Term Harvester and Negative Keyword Analyzer to act on what you find.
How does the n-gram analyzer work?
From raw search terms to clear phrase patterns in under a minute:
- Paste your search terms — one per line — from any Amazon search term report or keyword list.
- Choose the phrase lengths to analyze: single words, two-word pairs, three-word triplets, or all three.
- Hit Analyze to get sorted frequency tables showing each phrase and how many search terms contain it.
- Sort, copy the top 50, or download the full table as CSV to feed your keyword harvesting.
Watch how it works
Pro tips for n-gram analysis
1. Start with 2-word phrases. One-word phrases are too broad to act on; three-word phrases find long-tail gems but recur less often. Two-word stems are the sweet spot — specific enough to bid on, common enough to show patterns.
2. Paste a full search term report. Tokens under 3 characters and pure numbers are dropped automatically, so “32oz”-style noise and filler words don't clutter the tables. What remains are real shopper words.
3. Turn top n-grams into targets and negatives. High-frequency stems behind converting terms become exact or phrase match targets; high-frequency stems that never converted become negative phrase matches. One analysis feeds both lists.
4. Work from the top 50. The table shows up to 200 rows and the copy button takes the top 50 — that's your priority list. Export it, add performance columns from your report, and sort by orders before building campaigns.
N-Gram Analyzer FAQs
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