Transcript

Alan: Hey there and welcome to the next video in the Link analysis report series. We are still looking at the domain level analysis and in the last video we found our. two competitors. So what do we do with these competitors now, so the next step is to essentially get the backlink data for each of the two competitors for the domain level, So to do this is pretty simple. We get started with our own website and go into the back links report. . The first thing to mention here is there are a couple of filters that we want to use to only see the back links that we are interested in having a look at, We don't want to see, for example, no follow back links because we want be going on to build no follow back links, The only thing that we will do is try to build, do follow back links.

So we will filter to only see the do follow back links. Then we want to see back links that. In content because for the most part, we will be doing, what's called the editorial link building, which is essentially getting back links in context in the content. The other thing is we only want to see one link per domain.

We want to have all, and we don't want to show the history. We can exclude subdomains in here, and that's it. These are the main filters that we want. So let's export this, And I've already done this, before, so I'm not gonna do it again.

but the second step is to do exactly the same for the other two sides, So Snow View is the next one. You can simply paste the domain here, and the filters will be, same here. So you don't have to redo all the filters and click export. make sure that you click on all here. Because otherwise it will slowly export the first 1000 and we want all of them.

Last step is to do the same exact thing for the third site. Once you have the three CSV files for this, then we can go back to our link analysis spreadsheet, and we can simply click on sale a three and then go to import and select our CSV for a lead import. The next step, and this is just something that we need to do to make sure that the, that the backing profile sheet is going to be filling in properly.

We simply need to get the main domain of the site and paste it into cell B one. Like this. And then step two, do the same exact thing for the, the first competitor. Which is is comp stands for? Comp one. This is Novia.

And then lastly, same thing again for Apollo.

Alan: And again, get the main here and that's it. Right now, we imported the data for each of the three different websites, the overall backlink data. This is do follow back links that are in the. And there are one per domain. So each of these site has a vastly different number, which you can see in, the batch analysis,

You can see that a plead has around, 4,000 referring to follow domains. snow View has 8,500 and these guys have 10,000. So the numbers are different. but this is not gonna be a problem for us because what we will do, it will simply analyze the data on, a hundred percent scale.

So we're interested in the percentages here to be able to compare. If you don't see the data , you can simply refresh the page and that should, make everything work again. So once we have finished importing all of the back links for all of the three competitors, now we can go back to the backlink profile sections and all of the charts are going to have filled in alright, with the data that we need. So you can see the section again, is divided. This tab, as I said, is divided into three main sections.

There's, domain level, kind of overview section here at the top. Then we have a domain level link profile section, and a page level link profile section. So the first thing that we can do here that's very important is the homepage versus inner pages link distribution. This is telling us the difference in percentages for the backlinks that are pointing to the homepage compared to the backlink, that are pointing to internal pages for each of the three different websites.

So from this, we can essentially see that these guys. Less links pointing to the homepage and more links pointing to internal pages compared to a bleed. so a bleed as 76% of their links pointing to internal pages. These guys have 82 and these guys have 90.

It's pretty clear if we see the trend here that more links to internal pages leads to more traffic. And more keyboard rankings, essentially. Because if we have a look here, it seems that all three sites have a very similar domain rating,

So in terms of the strength of the back limb profile, we're pretty close here. But the thing that stands out to me here is that Apollo is doing a better job at promoting their internal pages, and so they are ranking for more pages and getting more traffic this way.

With the same domain rating. If we move down here, we can see, domain level link profile analysis, which is telling us. Distribution in percentages of, the domain rating ranges. For the back links profile for each of the three websites, so we can see that a bleed, for example, has 42% of their, links that have a domain rating between zero, and 10.

They have 6% almost of the links in the domain rating range, 11 to 20 and so on, These guys on the other hand, 40% of their links in domain rating, zero to 10 and so on. so what this is useful for is to see whether, the two competitors are doing a better job in terms of, domain rating for the backlink that they're getting.

So if I look at this, it seems like Apollo is doing a worse job than both the other two sides, Because they have more links in the lowest domain rating range, and they have less links in the high domain rating range. That said, it's also true that they have, they have a ton more back links than the other guys.

so this might be the main reason. Well, yeah, fundamentally we're looking at this on a hundred percentage kind of scale. And so this makes sense and we can still use this as comparison. So for example, it's nice to see that these guys have, these guys have a higher domain rating range on average.

This can probably be the main reason why the domain rating is higher from here. so there's a couple of interesting observations that you can, kind of gain, from these charts. then the other thing that you can use this for is, for example, it seems like these guys are getting more back links than a plead is in the specific range. 21, to, let's see, 40, So it seems that they have more back links that are in this domain rating range. So this is a good opportunity for us to try and possibly get more links in that same range,

It looks like we're doing pretty well in the. domain rating ranges, so 50 to 80, but we're doing slightly more poorly in the 20 to 50 range. So we can maybe focus on these a little bit and see if this helps. moving down, this is the same kind of concept for the Lincoln Traffic domain distribution.

So these, charts show us the percentages in, in how much traffic, the linking websites. For each of the three target sites that we're looking at. So we can see for example, that 38% of, fleet's, back links, come from domain with zero traffic. these guys have slightly less, which is interesting.

And these guys have more. But as I said, again, they are much bigger and we typically want to focus on the first competitor. so this is pretty nice. If we look at the chart here, it's clear that these guys are getting back links from website with slightly more traffic,

Number one, they have less links from site with zero traffic. So that's a good thing. We should reduce the percentages. Links from site with zero traffic and try to focus on the highest traffic ranges. So it looks like, for example, they . Have 10% links from site that are between 10 K and 50 K traffic while with a bleed.

They only have nine. So yeah we can see the charts are pretty close. but yeah, this is another metric that might be. For us, for example, to focus on the highest traffic, ranges, if that's what we wanna do. So we can combine the there ranges that we gained from this.

So we know we should be focusing on back links that have, the domain rating between maybe 20 and 50. that maybe have traffic between 5,000 and a hundred thousand, for example, So the very high level to try and do better than they. Moving on the list. These charts are again, similar to the ones above, but these are page level link profile. So the first chart here is showing us the, you are distribution for, the back links that each of these website have. The R is the URL rating, so the strength of the specific. URL where the link is coming from. So we can see that most of the size have back links coming from pages with, a very low, you are reason for this is because you are, it's, it's much harder than, Dr to kind of build up, But yeah, we can see, that for example, they have a tiny, tiny higher percentage here. let's see. so it actually looks like a bleed is doing a better job, Because they have one point 85% links with AUR between 11 and 20.

While these guys only. One point 53%. That said, these guys have zero point 20% links from pages with a UR between 21 and 30, while a plea only has 0.07. So this is interesting. what this tells me is that we should be focusing with a lead in getting more links in the UR range.

That's from. To 30, for example. so now we know we should be getting links from websites that are in the domain rating, 21 to 50 to try and build up the lower end here. We should be getting back links from sites with traffic 5k to maybe 50 or a hundred k to try and do better than than what these guys are doing.

And then we should also be getting links from pages that have, you are between 11 and 30. Then moving down the list again, and this is the last section and this is. Similar to the one above, but this is the linking page, traffic distribution. So we've seen the, linking domain traffic distribution, so the percentages in traffic for each of the domain linking to the three sites.

This is the percentages in traffic for, for each of the pages that are linking to the three sites. So we can see, for example here, that these guys are doing a slightly better job. They. 11 point 71% of their links coming from pages that are between one and 100 traffic, while a APPLI only has 9.62.

the rest is very similar. So what I would do here is try to get back links from pages that have traffic between one and 100, Possibly higher, That never hurts, obviously, but it's more realistic if we can focus on actual ranges that the other guys are actually, performing at. So typically what I would do here is focus on , let's say 50, to maybe 1000, traffic.

because we're talking about pages here, it's very important to remember it's very difficult to actually find and to actually acquire back links on pages or URLs that have 1000 traffic it basically means that the page is ranking on page one for the target keyboard.

All right, so this is it for the domain level analysis. This has given us a good 30,000 foot level view of what the other two competitors are doing in terms of back links pointing to the homepage versus the internal page. But also in terms of domain level metrics and page level metrics for the overall, links that we need to acquire.

Next, we will be looking at the page level analysis for some of our target keywords that we have decided to work on in the roadmap mapping process.