Most sellers look at their search term reports and see a wall of data. They cannot identify which terms are actually driving conversions vs. which ones are eating budget. N-gram analysis breaks every search term into its component phrases, scores them by what actually matters — conversion rate, click-through rate, ACoS — and surfaces the exact buyer intent patterns that drive sales.
Every Amazon seller running ads generates a search term report every week. That report contains every search query that triggered your ads, alongside the clicks, spend, orders, and revenue each one produced. The data is there. The problem is turning hundreds or thousands of rows into actionable decisions before the next week’s report arrives.
N-gram analysis automates that process completely — breaking every search term into its component words and phrases, scoring each one by conversion rate, CTR, and ACoS across every term it appears in, and surfacing the intent patterns that actually drive purchases. Then it feeds those insights back into your listings and campaigns automatically.
Four steps from raw ad data to actionable intent signals feeding every part of your optimization loop.
Amazon Advertising search term reports are ingested automatically — no manual CSV uploads, no scheduled reminders, no copy-paste into spreadsheets. The data arrives and analysis begins without any action from you.
Each search term is decomposed into single words (monograms), two-word phrases (bigrams), and three-word phrases (trigrams). This turns thousands of unique search queries into a manageable set of phrase patterns that appear across many terms — and reveals where the real intent signals live.
Every phrase is scored by aggregating the conversion rate, click-through rate, total revenue, and ACoS across all the search terms it appears in. Phrases that appear in high-converting terms get high scores. Phrases that appear only in wasted spend get flagged for negation.
Top-converting phrases are automatically passed to the audit pipeline to inform the next listing rewrite, to the AI image generation system to brief what buyers want to see, and to the ad campaigns to add missing exact match targets. The loop compounds every cycle.
Search term reports are pulled from the Amazon Advertising API on a 7-day rolling schedule. No manual uploads, no CSV handling. The data arrives automatically and analysis begins immediately.
Single words, two-word phrases, and three-word phrases all analyzed and scored independently. This three-depth approach surfaces intent signals that a full-term analysis buries — especially in long-tail queries with high conversion rates on specific phrases.
Every phrase plotted into one of four quadrants: top converting, top sales drivers, top CTR terms, and top wasted spend. At a glance you see where the real purchase intent lives, what drives clicks, and where budget is being burned on irrelevant searches.
Top-converting phrases are automatically passed to the next listing audit cycle. Title, bullets, description, and backend keywords are updated to lead with the language that actually converts — informed by real ad performance data, not keyword research tools.
The same buyer intent phrases that convert in ads are passed to the AI image generation system as brief inputs — so lifestyle images, infographics, and A+ modules are built around what buyers are actually searching for, not generic product photography.
Phrases that appear consistently in high-spend, zero-conversion search terms are automatically added as negative keywords across all relevant campaigns. Wasted budget stops flowing to terms that will never convert for your product.
Which buyer intent clusters are growing in your category, and which are declining? N-gram trend tracking shows how the relative performance of each phrase family changes over time — so you optimize toward where the market is going, not just where it was.
Better intent data produces better listing copy. Better copy improves organic rank and conversion rate. Better conversion rate improves ad quality score and lowers ACoS. Lower ACoS means more budget for the campaigns that work. The signal gets cleaner every cycle.
The N-Gram Analysis interface shows every phrase scored and plotted across the four intent quadrants. Drill into any phrase to see which search terms it appeared in, what it spent, and what it converted at. See exactly which terms are being promoted to exact match, which are being added as negatives, and which winning intents are feeding the next listing cycle.
Every action the system takes is logged with the phrase, the score, and the reason — so you always know what changed, what drove the change, and what result it produced.
N-Gram Analysis requires Amazon Advertising API access. On Ignite and Accelerate plans, the search term report dashboard is read-only. See full plan details →
A plain-language explanation of how breaking search terms into component phrases reveals buyer intent patterns that full-term analysis misses — and why it changes how you write listings and build campaigns.
Your search term report tells you exactly what language buyers use when they convert. Here’s a step-by-step method for extracting the intent signals that should be in your title, bullets, and backend keywords.
The phrases buyers use in ads that convert are the exact phrases that should lead your title and bullets. Here’s how to take n-gram output and systematically work it into every element of your listing.
Upgrade to Elevate and get full n-gram analysis — automatic report ingestion, phrase-level scoring, four-quadrant intent map, and winning intents fed back into your listings, images, and campaigns every cycle.