Keyword Grouping Tool
SEO: Group keywords from Google Search Console
What are the winning or loosing Keyword Topics of your website? If you have thousands of keywords you can’t easily answer that question. Looking on single queries will not tell you the full story. You can easily export your Search Terms out of Google Search Console together with KPIs like Impression or Clicks and paste them to our free keyword grouper. You will not only get keywords groups, furthermore all KPIs are aggregated for each keyword cluster.
Benefits of grouping keywords in GSC:
- Organize and structure your own Search term data into Keyword Topics to create additional content for your website. I bet there will be some additional subtopics that was not covered yet on your website.
- Set internal links based on Keyword Clustering results. Set semantic relations of main topic and various sub topic content pages.
- Rethink how you set Priorities for your SEO Efforts: Don’t look at single keywords. Instead, the sum of all Impressions and Clicks for the full keyword topic is important to get the right focus. Our keyword grouper can deal with KPIs for each keyword cluster!
SEO/PPC: Group keywords from other keyword tools
There are many Tools out there to get keywords next to some KPIs like search volume our competition metrics. It is easy to get lost when you have thousands of keywords within those tools. Where to start if you have to define a good content strategy based on such a big keyword list?
- The PEMAVOR Keyword Grouper works easily with all other Keyword Tools. Just paste your Keywords in combination with some metric columns to our Tool. Google Keyword Planner is a great free way to start. Of course, you can also use the data out of your paid tools like Semrush, Ahrefs or MOZ.
- Create Keyword Clusters with our Tool now. When you are starting content creation from scratch, this is a great way to understand how your topics can be organized. Derive our table of contents based on the keywords groups the people are searching for!
- Export your cluster results as CSV to share with your content creation team.
How to use the Keyword Grouping Tool
1) Paste your keyword data
Add up to 50,000 keywords to your favorite keyword source. You can use free sources like the Google Keyword Planner, Google Trends or Ubersuggest. However, you can also use paid keyword tools like Moz, Semrush or Ahrefs. Using your Google Ads search terms is also a good keyword source. If you add metric columns to your queries, our tool will make the aggregations for your keyword groups.
2) Customize your grouping preferences
Use cases are different. You have the possibility to fine tune the keyword clustering results with two parameters. By setting the minimum cluster size, you avoid groups of keywords that contain too few keywords for your liking. The second parameter is the keyword group granularity. If you put the slider to the most right position, your keyword groups will be smaller and more granular.
3) Download keyword groupings
Depending on the size of your keyword list, it’ll normally take seconds before downloading the result. The generated CSV file will contain one column with the keyword group ID and another column with the concatenated raw queries. If you provide additional metrics like keyword search volume or a calculated keyword value for your business, you’ll also find the aggregated numbers per keyword group in your file.
How does the Keyword Grouping logic work?
Preprocessing of keywords
First, the keywords are transformed to lowercase. Every word within the complete search query is getting stemmed to its root form. To use cluster algorithms, every query is transformed into a vector representation. If you’re looking for ways to visualize your clusters, Python also has to plot libraries or modules that are creating nice-looking word clouds in just some lines of code.
Weighting the terms
In your free keyword grouping tool, we’re using TF-IDF weightings for every word in the vector space. There are different approaches that even go further. For example, you can use word2vec embeddings to cluster, even on their semantic meaning. It works great if you build a custom model for all of your keywords.
Running cluster algorithms
There’s also more than one way to do keyword clustering. K-means is a well-known clustering algorithm that can also be used on our keyword vectors. We’re using DBSCAN in our tool, where the number of keyword groups is found by the algorithm.
You find more about keyword grouping in Python in this post including a running Script. You will find detailed information about the concept that is used for the keyword clustering.
Next level approaches for keyword grouping
Maybe our free keyword clustering tool offers everything you need, then stop reading at that point.
If you want to start coding to build the perfect fitting solution for your business, then you’ll find some nice approaches you can have a look at. Python is a great programming language for those kinds of tasks. It’ll enable you to build your own SEO tools.
What is keyword grouping?
Keyword grouping is a list of related keywords based on users’ search intent.
It helps you speed up your SEO efforts and level up on-page optimization. After generating your keywords list, you shouldn’t group them randomly. Keep in mind the importance of relevance search intent.
In this case, you can get help from PEMAVOR’s free Autocomplete Keyword Tool to create keyword lists.
Keyword Groups & Account Structure
Google Ads is a great way to generate revenue for your business. Also, it’s a simple platform with easy-to-use tools. You don’t need any prior experience or skills to set up your account on Google Ads. All you need to do is enter some basic information about your company, and you’re all set! After reading some articles about Google Ads, you’ll have a picture in your mind how to work its system.
The actions in your Google Ads account proceed for a certain hierarchy. You can manage your ad groups under your campaigns and your keywords and ads under your ad groups.
Grouping Your Keywords To Win The Auction
Furthermore, Google determines which ad to show in what order in an auction between advertisers’ bids. It’s called the Google Ads Auction. How can you win auctions between various competitors from your business?
Quality Score is an important value of each keyword to win an auction. The more relevant ads to your customers on the Google search page you have, the higher Quality Score you’ll get. Otherwise, you’ll have a poor Quality Score and a low Ad Rank. For sure, it affects your CTR negatively because your impressions can’t turn into clicks. Keep in mind that Google will also calculate CTR in the next auctions. If you don’t want to have poor performance in auctions, keep your CTR higher. But, how to keep higher CTR? With keywords grouping. Once you’ve grouped your keywords suitable, your ads will be more relevant and have more chances to win auctions.
What are Quality Score, Ad Ranks, & the Google Ads Auction?
Quality Score is the measurement of a keyword’s relevance and quality. It’s a numerical value that Google assigns to your keywords to value the quality of your ads. Keywords with higher relevancy to a user’s search query have higher Quality Scores. Google has an algorithm that evaluates hundreds of factors to show users relevant results in organic results. Also, it has created the quality score that affects the ranking and display of the ads to give a better experience by showing them relevant ads.
Many marketeers may target the same keyword. So, how Google ranks these ads? With Ad Rank! However, not Quality Score, Ad Rank Score determines your ad positions. Ad Rank is the estimated position of your ad on Google’s Search Engine Results Page. It takes into account factors such as current bid price and quality score. Besides, having a Quality Score of 10 doesn’t mean that your ads will be shown in higher positions. On the other hand, if you have a low Quality Score, your ads can get few impressions.
Furthermore, Google determines which ads to show in what order in an auction between advertisers’ bids. It’s called the Google Ads Auction.
Keyword Groups & Ad Groups
You have keywords lists related to your ads within your ad groups. When a user searches for a keyword on Google, Google shows the ad related to that keyword. That’s why it’s important to create the right keyword groups.
Besides, you can manage your ad campaigns on Ad Group section in your account. You’ll see your keywords groups under Ad Groups. For example, you may give an ad campaign as “Nightdress sale.” Use keywords such as “night dress,” “night dress for party,” “night dresses sale,” and don’t include keywords “casual dress” or “business suit.”
You have only one ad group for the nightdress. That is, when you bid to promote your nightdress products, all related keywords are grouped. When users search for something that matches your keyword, they may come across one of the ads related to that keyword. If you group your keyword randomly, it won’t be good for your business. Nobody wants to see an irrelevant ad. By the way, let’s underline once again the importance of grouping relative keywords.
How To Group Your Keywords
Benefits of Keyword Grouping on Digital Marketing
Creating more content for keyword grouping will be more helpful for your digital marketing efforts, even though it takes more time.
We’re sure your website will be more Google-friendly and user-friendly.
It’s a great way to save money while running PPC campaigns because the right keyword grouping increase your CTR and Quality Scores. Also, it’ll affect your paid traffic positively.
Want to appear more relevant to the search engine? Let’s group your keywords effectively. Google doesn’t like irrelevant ads.
It’s a great way to improve copywriting and content efforts to attract visitors.
The keyword grouping approach is a good way to make sure that your content will rank highly in search results. It can also help you identify which keywords you should focus on, so you can write more content that is relevant to those keywords.
Thanks to efficient keyword grouping, your website will have correct structure. Also, it helps to avoid keyword stuffing.