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How to Determine a Domain Name’s Type-in Traffic

There are three ways to determine if a domain name has type-in traffic: real data, estimated data, and historical data.

In today’s tutorial — coming to you from beautiful Victoria, British Columbia — I show you exactly how to determine if a domain name has type-in traffic with the tools I trust.

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There are 3 ways to determine if a domain name has type-in traffic. In today’s tutorial, I show you exactly how to do that with the tools I trust.

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There are 3 ways to determine if a domain name has type-in traffic: looking at real data, looking at estimated data, and looking at old data. Using all three data sources will give you an idea what the true order of magnitude is for the domain name of interest.

But in life we don’t have all the data we want all the time. So knowing how to gather these three types of data sets will allow us to make an educated decision with limited data.

The first option is looking at real data. To do this, you look at the analytics and see if it has type-in traffic.

Obviously, including analytics code for tracking requires you have some sort of web page rendering when the domain name resolves.

The web page could be a blank page that serves Google Analytics code, an Efty for-sale landing page that tracks visitors, or a full WordPress website with JetPack analytics installed. It doesn’t really matter — you just need something that can track unique users visiting the domain name.

If Google Analytics is installed, to view the type-in data you go to Google Analytics, select the website, then go to Acquisition, All Traffic, Channels and look at the Direct channel for the time period selected.

We can see that there have 1,421 type-ins from 1,301 people in the past 30 days on my domain name.

Google Analytics shows exact numbers but the resolution of data isn’t really that exact — so it doesn’t matter. We’re just looking for the order of magnitude. Is it zero, 10, 100, 1,000, 10,000, 100,000 or a million? In this case, it’s about 1,000.

We’ll note that Google Analytics says about 1,400. That’s what the real data tells us.

Google Analytics = 1,400

Now let’s look at estimated data. There are a number of sites that estimate the traffic to websites by buying the anonymous data from Internet Service Providers, or ISPs.

In other words, if you use Comcast to get on the web at home or at your office, and you type into your browser, Comcast records that and — along with a ton of other websites you visited — anonymizes the data and sells it to others for their use. The International Herald Tribune estimated that British Telecom made about $167 million selling anonymized ISP data in 2009.

Now that you’re freaked out, let me tell you how you can use this to your advantage.

That data that’s being sold in bulk from ISPs to others includes everything: people visiting websites that exist, as well as people typing in domain names that don’t resolve. Going to a website like will tell you how much traffic a website or domain name receives.

Using my example site, on SimilarWeb I can see an average of about 4,000 visitors per month with about 88% of them being direct, type-in so 4,000 times .88 equals about 3,500. Not the same as 1,400 in Google Analytics, but the same order of magnitude. So let’s record that.

SimilarWeb = 3,500

That’s what the estimated data tells us. So now we know what the real data tells us as well as what the estimated data tells us.

Now, let’s look at the final data set: what the old data tells us.

To find this data set, we use So go to, type in the domain name of interest, and wait for it to return the data. When it loads, scroll down to the Type-in Score area and look for the Overture (domain) data.

When the Overture search engine used to exist, it would collect data on the the number of times a domain name was queried. The data is presented on a per day basis, so 41 queries per day — in this case — multiple by 30 days per month will give us an estimate of the direct type-ins per month.

So 41 times 30 equals about 1,230. Not exactly the same as the 1,400 from Google Analytics or the 3,500 from SimilarWeb, but it’s the same order of magnitude.

EstiBot = 1,230

Given this data, I’d say it’s fair to assume that the domain name receives about 1,000 to 2,000 direct type-ins per month.

Let’s look at a couple of other extreme examples.

Here’s an example with more data. is parked, meaning it’s not a developed, active website even though it likely has some backlinks from other websites which sends it some traffic. It’s fair to assume that most of it’s traffic is likely coming from direct, type-in traffic — but let’s check it out.

I don’t have access to the analytics associated with, so the first option — looking at real data — is not available to me.

The second option is to look at estimated data. Visiting shows me that receives about 15,000 visitors per month with about 43% of it coming from direct traffic. So 15,000 times .43 equals 6,450 direct, type-ins per month.

Now let’s check out the third and final option: the old data.

Visiting EstiBot and typing in shows me a Type-in Score at Overture (domain) of 5,074 per day, which is about 152,000 type-ins per month.

So here’s a discrepancy.

One data set says the order of magnitude is about 10,000 while other other data set says order of magnitude is about 100,000. Which is right?

Who knows. Maybe less people are typing in today. Get real data or choose the conservative option. Make your own decision from there.

Now, what if a domain name doesn’t have very much data. is parked, meaning it’s not a developed, active website. I don’t know anything about this three letter .com domain name. I just picked it off the top of my head.

I have no idea what the real data is for

The second option is to look at estimated data. Visiting shows me that they don’t have enough information on to even display a traffic graph or a ranking.

Now let’s check out the third and final option to gather data: the old data.

Visiting EstiBot and typing in shows me a Type-in Score at Overture (domain) of 0 per day.

So, estimated data matches with older data. likely has no type-in traffic or less than 100 per month as there is no data.

Often as investors we have to make decisions with the best available data. Knowing that there are 3 ways to determine if a domain name has type-in traffic — using real data, estimated data and old data — will help us find the true order of magnitude for any domain name of interest.

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26 Responses to “How to Determine a Domain Name’s Type-in Traffic”

  1. Domain Name says:

    This is awesome, Michael. Thank you for sharing this. I find this post interesting because this is related to what our business is all about.

    1. Great to hear it was beneficial for you. :)

  2. Aiken says:

    Great Video.Amazing Things discussed.
    Thanks for the share Michael.

    1. Thanks for watching and taking a moment to post a comment. Much appreciated.

  3. Liza Loewen says:

    Great show, short, but sweet! Thanks for the valuable info. Data is something I’ve never been good at evaluating. I’ve always tried justifying not looking at it and rather using my gut instincts. But I’m guessing that can only get you so far.
    Very surprised to see you in my town. Special place, isn’t it?

  4. Vivian says:

    Thank you for another great video/transcript! I’ve always wondered about this. I’d seen the score on Estibot but had no context for it.

    1. My pleasure. Thanks for watching and taking a moment to post a comment.

  5. John says:

    Hey Michael, any reason why my comment was never approved? Just curious. Others after mine were approved.

    1. Because it appears you’re using a fake email address. I emailed you after you last post to get clarification about your comments and it bounced. It made me think that maybe you were trolling rather than trying to be constructive in your comments.

  6. YamadaMedia says:

    If you don’t like that your ISP is selling your anonymous data, you can purchase a subscription to a VPN provider. :)

  7. Gary Moore says:

    Thank you! Very helpful. And I love the new intro!

  8. Vanessa says:

    Cheers from BC! Great to have you up here, Michael. I would have come down if I knew you were in the city. :(

    Hope you had a great time. I loved watching you with the Parliament in the background. Do more of these types of shows, please!

  9. Candace says:

    Thanks Mike. This was very helpful.

  10. Donny says:

    Similar web is probably the best. Now if you see sites that are not developed that get say 100-500 hits a month they will not show up in alexa or similar web.

    A way exists to tell estimate type-in traffic. Google recently messed up all the plural and singular traffic this past month so that is going to mess up some things. But a way does exist.

    If someone gave me a random 5 websites that they own with out an alexa ranking or similarweb tool, I could estimate traffic per month on each of those names.

    This is how the big domainers made all the money back 10 years ago by knowing this secret. They gobbled up everything.

    1. Hi Donny,

      “A way exists to tell estimate type-in traffic.”

      What is your process?


      1. Donny says:

        Hi Michael,

        It’s my only advantage for now so I can’t say. Someday I will shoot you an email, but it does not benefit me as it would make all prices go up for dropping domains.

        Example that beautiful name you have “instruct: probably gets an average of 600-750 direct type ins a month. But it could go way higher but this is the ground floor. Sept being the best month:) I.m better with traffic that gets 50-300 area. When you start to hit the 500 above it shows up on similar web and alexa. But the tools you present in this vid are very also helpful.

        1. Hi Donny,

          In the spirit of transparency and as another example for this tutorial, I will reveal that:
          1. Real data (Efty landing page) shows about 311 type-ins in the past 30 days
          2. Estimated data (SimilarWeb) shows “not enough data”
          3. Historical data (Estibot) shows zero.

          I’m off to figure out how you determined the correct order of magnitude for this domain! :)


          1. Donny says:

            Hi Michael

            August and September will be best months:)
            June probably the worst for hits. After school.
            May probably around 500 hits.

            But that is probably a given because of school year.
            What a name though, WOW! If you just bought it Aug and Sept will be good to you.

            It’s a combination of many things so If I can be with in 20% I fell pretty good.


  11. Niz says:

    Thanks for the Video Michael… Appreciate it.

    1. My pleasure, Niz. Thanks for watching and taking a moment to post a comment.

  12. Konstantin says:

    Great tutorial! Can’t wait for the new shows to be published!

    Thank you, Michael


    1. Thanks, Konstantin. I appreciate your continued support. :)

  13. Isaac says:

    Thanks for the video Micheal. Is there another tool you recommend in place of google analytics? Something with similar data analysis.

    1. Hi Isaac,

      I mentioned JetPack, which is a plugin for WordPress but after looking at one of my websites in detail it turns out they don’t track type-in traffic.

      There are quite a few options to Google Analytics, including: (free 30 days) (free if hosted yourself, free 30 days) (free to 3,000 page views per month)

      I haven’t tested them to see which provide direct (type-in) user data. If you do try them, please post back here with what you found.

      Hope one of them is useful to you.


  14. Sarik Siddiqui says:

    Can it get any better.A man making it so easy for newbies like us.Had one doubt in the middle of video what if similarweb returns no data and guess what,that too was explained.

    Keep going Michael

    1. We’re all newbies in one area of domaining or another. I’m glad to hear that this tutorial was useful to you, Sarik. Thanks for posting a comment of appreciation.

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