Backlink and link profile analysis and checker
SEO | 24.10.2016
Link profile analysis and link existence check, in terms of established collaborations, is bread and butter for a link builder. Marketing Miner will, based on input URLs that should reference to your web, identify examples and determine a position and relevance of a link. It gives you an output in form of detailed information about an existence or position of a linkStep 1
Import URLs that a user needs to get data about
Regarding link profile analysis, a list of links leading to your domain is necessary at the input. The best sources for such data are:
- Google Search Console (section Links to your website)
- Ahrefs (paid)
- MajesticSEO (paid)
- Open Site Explorer (paid)
It is useful to give the report a name, by clicking on Dataset name that makes it easy to be identified. In case a user wants to save input dataset for future use for different purposes, they can check the box Save dataset.
By pushing this button, a user gets to the miners selection.
Collecting data on link profile
In terms of analysis, ideal data for users are data on links on URLs that reference their website. Checking the existence, condition and position of a link to their domain and data on social signals of URLs with incoming links, is important as well. A user can get this data with the help of Marketing Miner by checking the miner box:
- Link checker (Link existence checker, getting more info about its position and location. For the link check of domain user, a space that appears after checking the box, has to be filled out)
- Ahrefs (Miner that works only after connecting a user account with paid account for this service. In case such connection hasn't been made, a user will be suggested to do so after checking the miner box)
- Social Signals (Returns info about number of shares, tweets and many other signals from social networks directing to given URL.
Same as the example below:
User then clicks on Get data, which will move them into data processing section. Based on data volume, they are processed in the background and once completed, results are emailed to a user.
Two lists are an output:
|List: Backlink Identification|
|Input Data||Checked URL|
|Domain/Backlink existence||TRUE/FALSE about the existence of a link to user's domain on given URL|
|Backlink source code position||Percentage position in source code where found link is located|
|Estimated position||Estimated link position: Footer, Header, Menu, In text...|
|Backlink content||Location of found link|
|Anchor text||Text of found link|
|Facebook shares||Number of shares of given URL on social network Facebook|
|Facebook likes||Number of likes on social network Facebook|
|Google +1||Number +1 on social network Google Plus|
|LinkedIn shares||Number of shares on social network LinkedIn|
|Referring Domains||Number of domain links to checked URL according to the tool Ahrefs|
|Backlinks||Number of backlinks to checked URL according to the tool Ahrefs|
|Referring Pages||Number of referring pages to checked URL according to the tool Ahrefs|
An output can then be analyzed by the user with a use of tools that can work with XSLX outputs. We recommend these step-by-step instructions of analysis below:
|Excel instructions||Link to download tool|
|OpenRefine instructions||Link to download the tool|
|Tableau Public instructions||Link to download the tool|
Examples of use in practice
Below, you can find procedures that, using this miner, can be applied in practice.
Automatic weekly audit of backlinks
A big part of link building is to check link portfolio and backlinks. Quality necessary material for a quick analysis should include the existence and the overview of backlinks. The instructions below will show, how to create weekly automated report of the existence of links and a quick analysis of received output.
First, you have to pick URLs that are necessary for the audit. Those should be saved somewhere on the side, periodically, during the collaborations so the link builder can be aware of the places where links got created, thanks to them. As an example below, we'll use the dataset of link profile of domain MarketingMiner.com, exported from the service Ahrefs.
Example dataset of MarketingMiner.com domain
These are the links that a user wants to keep track of and to know their status. Now, this list of URLs needs to be imported into Marketing Miner, more specifically into URL Miners section (our input is the list of URLs). In the data import section, it is useful to give the report such a name that a user will immediately know what project it's regarding, as soon as they get the email. As an example, the name of the report could be: "Weekly audit of links of MarketingMiner.com domain".
In the miner selection section, a user then selects the Link Analysis miner and imports MarketingMiner.com domain. (the domain that this miner will search and analyze). Before the report is processed, a user has to check the box (see image below) stating this is a regular report and on a weekly basis.
An output from miner/h3>
An output is a table, shown below, where a user can easily, in the column Backlink existence, filter out information about the existence of the backlink of his client on given URL. They can also analyze more closely the type and position of incoming links during the collaboration.