Keyword N-Gram Analyzer

Free Online N-Gram Tool

Analyze Keywords by N-Grams. Paste your Keyword List and get instant results.

Cluster Keywords by N-Grams

Create Keyword Groups based on frequent N-Grams to discover interesting search patterns.

Map Metrics to Keyword N-Grams

Paste up to 100,000 keywords with KPIs like impressions, clicks or search volume

N-gram Analyzer Results Download .csv file Copy results to clipboard
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Keyword Grouping Tool created by PEMAVOR

Use cases for N-Gram Analysis in SEO and PPC

The most common usage for applying N-Gram Analysis is to focus on search queries and keywords. That is also our focus on why we published this free N-Gram tool. If you’re creative, you’ll find many other text strings in SEO and PPC that you can analyze in this way.

N-Gram Analysis on Search Console Queries

When it comes to SEO Optimization the Google Search Console is one of the most important tools. Especially the search term reports are very useful to optimize your website content. When you already cover a broad set of keywords it will be difficult to identify the most interesting search patterns you should focus on. N-Grams will help you do analyze search queries to discover interesting topics and search attributes. The Pemavor N-Gram analyzer can analyze GSC Queries in seconds!

Copy your Queries directly in the GSC Web-UI and paste it in our n-gram tool and get instant results.

N-Grams in Google Ads

N-Gram analysis are very powerful when it comes to optimizing your PPC campaigns. The most common use case is to use the search term performance report as input for the analysis. Add also conversions, clicks and costs to this report. The n-gram report will make it possible to sort search patterns by performance that appear across multiple queries.

 

You can save tons of money when you implement a logic like that to your keyword negativation process in google ads. We also make use of that n-gram technique in our negative keyword tool PhraseOn.

Ngrams in PPC

How does the N-Gram Analyzer work?

1) Paste your data, for example keywords and related metrics

The left column must contain the text that should be split into single words. Add columns (optional) with numeric KPIs, and they’re aggregated automatically by the created N-Grams.

2) Download your N-Gram Analysis

After a few seconds, your N-Gram analysis will be ready. If you provide a full list of keywords with some KPIs, the resulting file gives you the frequencies by single words as well as their grouped KPI data.

3) Analyze deeper in Excel

If you want to look at some calculated KPIs like Conversion Rate, Click-through Rate, or Value Per Click, simply import the CSV output file to Excel and continue with a deeper data analysis.

How to use N-Gram analysis for SEO and PPC

Make simple and effective suggestions

Our free tool won’t only provide word counts to your keywords, but also aggregations to any other metric in your keyword data. SEO perspective will be benefit to see “keyword search volume” for each word if you’re searching for SEO niche keywords.  In PPC, you’re likely to be interested in your cost and conversion data. So we can give you an initial look about your data using words instead of sentences. Mostly, when you have large sets of keywords, N-Gram mappings will show you new groupings of your hidden keywords.

Find new money keyword topics for SEO and PPC

One of the best ways to find SEO money keywords is to use available search query data of your PPC accounts. By doing so, you can get conversion rate numbers for N-Gram topics as well as search impressions. A great niche in SEO shouldn’t only have low competition, but also great conversion rates. What can you tell about the actual value of your SEO traffic? Nothing to say by merely looking at inaccurate keyword search volume data of your SEO keyword tools. To give you an idea we run a n-Gram Analysis on Keyword Planner data in this article.

Find negative keywords for your PPC campaign

What works for extracting new money keywords is also great for removing poor search patterns. This problem often appears in PPC and hurts campaigns because you’re paying for each of them. As a solution, you can use bad-performing N-Grams and add them as negative keywords. Make use of this approach to identify negative keywords for Amazon, Google Ads, or Bing to save a lot of money right away. Also have a look at the full guide how to use N-Grams in PPC.

Where else can you use N-Gram Analysis?

SEO: N-Grams on Sitemap URLs

What’s your competitors’ content strategy? A shortcut approach is to fetch your competitors’ sitemap and analyze the URLs by N-Grams. The idea is that the most important keywords and topics are part of the URL. By counting word appearances, it’ll give you a quick overview of the keyword strategy. Have a look at our free content analysis tool based on n-gram analysis of the sitemap.

SEO: N-Grams on Search Console Keywords

What are the most important N-Grams you are already covering with your Search Terms out of Google Search Console? You will probably find some new interesting topics you might have not covered with content yet. You can easily run a N-Gram analysis on top of GSC Keywords in combination with metrics to give insights in less then a minute.

PPC: N-Grams for Ad Copy Titles

A/B Testing of Ad Copies is one of the most important tasks of PPC managers. Frequently, you struggle with low sample sizes and tests need a lot of time to be significant. When analyzing N-Grams on your Ad Copies, you can search for good and bad elements regarding your CTR. It helps in defining new promising text variants for your testing.

What are N-Grams?

The term N-Gram is frequently used in the context of Natural Language Processing (NLP) especially in text mining. N-Grams are created by looking at sequences of words that appear in a text. “N” is the number of words, that is, the sequence length. When somebody mentions 2-Grams or Bigrams, this means analyzing text by word pairs. Unigrams or 1-Grams are dealing with single words.

Why should you use N-Grams?

In data mining tasks, you often have a ton of data. Also, the goal is to extract information and knowledge. When it comes to text analysis, N-Grams are a great technique. By looking at count based statistics, you’ll understand right away what the main topic is about.

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