Frequently asked questions
We have put together some commonly asked questions.
For monthly/yearly subscribers, the credits will be added at the end of their billing cycle.
Click the Settings icon, and you will see when the credits are refreshed.
Special characters are common in many languages. Such as Norwegian, Thai, Swedish, German etc.
If you're using Microsoft Excel or Mac Numbers, Please make sure to export your files with UTF-8 encoding. Else your special characters will not be exported correctly, and Keyword insights will show you an error.
When possible, we highly recommend you upload an excel XLXS file when dealing with special characters instead CSVs. The CSV encoding can convert special characters into random unreadable text, and it will cause our clustering and hub/spoke algorithm to produce incorrect output results.
If you see a number of keywords grouped under "no_cluster" it's not an error. Those keywords are exactly where they're meant to be. No_cluster simply means those keywords don't share at least 4 URLs (or whatever the grouping accuracy you set in the settings was) with any other keyword.
You'll often see some surprising results (i.e. keywords you THINK should be in a cluster as they're really similar to others, like pluralised versions of the same keyword) but if you actually test them, you'll see Google does in fact show very different results.
We recently came across one cluster "50mm skate wheels" and then a keyword in the no_cluster "50mm skate wheel" (singular version) and we thought it was a bug. We searched both and, right enough, the results were very different.
If there are any keywords in there that you found interesting (i.e. they have a lot of search volume or it is targeting exactly what you want) our recommendation would be to do more research around the term. It either means you haven't got enough depth to your original keyword research list or this particular keyword is just incredibly specific and requires a deep dive on just one page.
Alternatively, you could re-run the clustering algorithm again with less strict settings (set the grouping to 3 for example)
We currently support English and German. Please submit requests for new languages via our contact form. We prioritise new languages based on demand.
Our current queue is as follows:
Unfortunately, we do not have an ETA for new languages going live. We have to build and train language machine learning models for each new language, which takes a lot of time and resources. We appreciate your patience.
If you cancel your subscription, you will lose any remaining credits with immediate effect. For this reason, we recommend canceling a day before your subscription renewal is due if you have any unused credits.
At the moment you will get a warning alerting you of this fact, but we are working on a fix so that once you've canceled, you'll keep any remaining credits until the end of the billing period. Please bear with us whilst we get this implemented (it's actually a little more complex than you think!).
The reason we don't allow you to keep your credits after your subscription ends is due to the fact the credits on a subscription are MUCH cheaper than what you'd get if you used the Pay As You Go (PayG) option so it's to stop abusers from subscribing, building a bank of "cheap" credits, and then using them all at once a few months later.
For some context, our data provider doesn't allow us to carry credits over (for more information on credit rollover read this). So if everyone saved their "cheap credits" and used them all in one month, we may exceed how many credits we've bought and be at a loss. We're able to let PayG customers keep their credits because they've paid a premium which covers us in the event they're all used in one go.
Although PayG customers benefit from the credits being rolled over, being on a subscription has a number of benefits. Such as lower credit prices.
Here is the list of supported languages.
- Bishnupriya Manipuri
- Chinese (Simplified)
- Chinese (Traditional)
- Low Saxon
- Norwegian (Bokmal)
- Norwegian (Nynorsk)
- Persian (Farsi)
- South Azerbaijani
- West Frisian
- Western Punjabi
What's the Hub/spoke model, and how is it different from clusters? Once you have your keyword clusters, it may be helpful to know how closely related those clusters are to other clusters.
By grouping similar clusters together, we create Hubs and Spokes. Using these, you'll be able to produce what we call "hub articles" which link to "spoke articles".
In essence, our "hub and spoke" tab will make your content planning easier, allowing you to quickly identify and comprehensively cover a given content topic.
Bonus tip: Pull through the your keyword rankings and you'll be able to see internal linking opportunities, if you have relevant existing content.
In this example, "Hawaii vacation" will form the "Hub" content piece. This could be a category page or a long-form article.
Here we are show all the "clusters" in the Spoke column that are contextually related to the hub.
So, you can produce content around "Where to stay in Hawaii" or "Planning a honeymoon to Hawaii" and internally link to our main "Hawaii vacation" hub.
Keyword clustering is not language-specific but rather geo/country-specific. We support all the countries in the world.
Let's take a look at a few examples.
I have an SEO client in France, and I'm targeting users in France. When I prepare my keyword list, I will select all the keywords and search volume data for those keywords. I will choose France under the country dropdown when I run my order through Keyword Insights.
Keyword Insights will then scrape google.fr and build the clusters based on how keywords are ranking in google.fr.
You can choose to upload French keywords, English keywords, or any other language. Regardless of language, Keyword Insights will scrape google.fr for those keywords.
As you can see, the language has no influence whatsoever on our clustering process.
We do not have a public roadmap. However, if you're a paying customer, you will get access to our private Facebook group. We often show our early previews and engage with our customers. You can also make feature requests. You can apply here to join the group.
We provide live chat support for all of our paying customers. For users, we have a support ticket system. Our operating hours are between 9 am - 5 pm GMT.
Unfortunately, we currently don't allow credits to roll over. The short explanation is that our data provider also doesn't allow us to roll credits over. The longer explanation is below:
At the inception of Keyword Insights, we actually did allow customers to roll credits over. This was because our old data provider let us do the same. However, the situation in Ukraine meant we had to change data providers and unfortunately our new one does not allow us to carry over the credits. Of course, if we allowed everyone to keep rolling their credits over, and everyone decided to use them in one month, we may end up in a really sticky situation so we also had to abandon this also.
We have not found another data provider that allows credit rollover. It's also probably why most tools we've ever seen don't allow it either.
We will honor credit rollover for any legacy customers who have had a subscription since April 21.