How can you try and compare for free?
Posted: Mon Dec 23, 2024 5:44 am
SEMrush offers in its free version the possibility of viewing the main metrics of a domain.
To learn about the possibilities of the free version of SEMrush, read this short article.
Here are the steps:
2. Click on SEO on the next screen
3. Go to Backlink Analytics or Domain Overview , type your domain there.
4. You can now view key metrics and compare them to the same metrics from competing tools.
The backlink database for October 2018 vs. May 2019
To see the changes, we have summarized them in this image.
A completely new backlink database.
New SEMrush Backlink Database Update
We needed a substantial improvement in the quality of our backlink data and there was no workaround other than a complete overhaul of our data collection.
In order to focus on the end result, we put the development of the rest of the features on hold and made a big list of what would improve the quality of the backlink data we offer to our clients.
The path was clear and all we had to do was work to check the tasks off our list.
Working on the review
We won't bore you with the technical details of our backlink database revamp, but here's a quick rundown of what we've done.
Tracking
After carefully examining the drawbacks and limits of the existing architecture, we decided to rebuild our tracker from scratch.
And so we did, we designed a completely new approach to our data collection.
Tracking queue
Early testing of the new crawler revealed that the crawl queue was not properly handling the amount of data collected. We attempted to address this by increasing the hardware capacity, but this was not enough, so we developed a new, more efficient crawl queue.
Seeding
To provide our crawler with a quality initial selection, we created a queue of Google's top 100 URLs with the goal of getting 450 million keywords from our organic research tool .
With this idea we made our database relevant from the beginning.
Storage
An increasing collection of data obviously requires more storage space, so we had to triple the size of our server.
Measuring our growth
To find out exactly where we stand as a backlink provider, we decided to measure our strength against the best: Majestic , Ahrefs , and Moz .
We will explain the methodology shortly but first, let's evaluate our development progress over the past six months.
Looking at the relationship between the top four SEO tools on the market, you can see that we have made a significant leap forward.
Here's what the comparison looked like in October 2018:
New SEMrush Backlinks Database – October 2018 Data
This is what this comparison looks like today.
New SEMrush Database – May 2019 Data
Important! How to interpret the graphs correctly?
We assume two cases:
If SEMrush is represented by 1 and competitors by higher values, then in this email database australia case we set the volume of data from other providers relative to our data. A simple example: we have an apple. Competitor A has 2 apples and competitor B has 3 apples. Compared to us, competitor A has 2 times as many and competitor B 3 times as many apples. In this case, our competitors are better than us.
If SEMrush is represented by a 1 and competitors by lower values, the procedure would be the same as in the previous point with the difference that this time the competitors perform worse than us.
How do we make the comparison?
To learn about the possibilities of the free version of SEMrush, read this short article.
Here are the steps:
2. Click on SEO on the next screen
3. Go to Backlink Analytics or Domain Overview , type your domain there.
4. You can now view key metrics and compare them to the same metrics from competing tools.
The backlink database for October 2018 vs. May 2019
To see the changes, we have summarized them in this image.
A completely new backlink database.
New SEMrush Backlink Database Update
We needed a substantial improvement in the quality of our backlink data and there was no workaround other than a complete overhaul of our data collection.
In order to focus on the end result, we put the development of the rest of the features on hold and made a big list of what would improve the quality of the backlink data we offer to our clients.
The path was clear and all we had to do was work to check the tasks off our list.
Working on the review
We won't bore you with the technical details of our backlink database revamp, but here's a quick rundown of what we've done.
Tracking
After carefully examining the drawbacks and limits of the existing architecture, we decided to rebuild our tracker from scratch.
And so we did, we designed a completely new approach to our data collection.
Tracking queue
Early testing of the new crawler revealed that the crawl queue was not properly handling the amount of data collected. We attempted to address this by increasing the hardware capacity, but this was not enough, so we developed a new, more efficient crawl queue.
Seeding
To provide our crawler with a quality initial selection, we created a queue of Google's top 100 URLs with the goal of getting 450 million keywords from our organic research tool .
With this idea we made our database relevant from the beginning.
Storage
An increasing collection of data obviously requires more storage space, so we had to triple the size of our server.
Measuring our growth
To find out exactly where we stand as a backlink provider, we decided to measure our strength against the best: Majestic , Ahrefs , and Moz .
We will explain the methodology shortly but first, let's evaluate our development progress over the past six months.
Looking at the relationship between the top four SEO tools on the market, you can see that we have made a significant leap forward.
Here's what the comparison looked like in October 2018:
New SEMrush Backlinks Database – October 2018 Data
This is what this comparison looks like today.
New SEMrush Database – May 2019 Data
Important! How to interpret the graphs correctly?
We assume two cases:
If SEMrush is represented by 1 and competitors by higher values, then in this email database australia case we set the volume of data from other providers relative to our data. A simple example: we have an apple. Competitor A has 2 apples and competitor B has 3 apples. Compared to us, competitor A has 2 times as many and competitor B 3 times as many apples. In this case, our competitors are better than us.
If SEMrush is represented by a 1 and competitors by lower values, the procedure would be the same as in the previous point with the difference that this time the competitors perform worse than us.
How do we make the comparison?