Backlink and link profile analysis and checker

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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 link
Step 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:

To import data, the user uses the section URL Miners, where he imports URL dataset using one of the methods of import.

Example of URL input through clipboard in the section URL miners

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.

Example of saving dataset

By pushing this button, a user gets to the miners selection.

Step 2

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:

Example of checked miners instructions

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.

Output example

Two lists are an output:

Column description

List: Backlink Identification
Input DataChecked URL
Domain/Backlink existenceTRUE/FALSE about the existence of a link to user's domain on given URL
Backlink source code positionPercentage position in source code where found link is located
Estimated positionEstimated link position: Footer, Header, Menu, In text...
Backlink contentLocation of found link
Anchor textText of found link

Column description

List: Data
Keyword/URLChecked URLs
Facebook sharesNumber of shares of given URL on social network Facebook
Facebook likesNumber of likes on social network Facebook
Google +1Number +1 on social network Google Plus
LinkedIn sharesNumber of shares on social network LinkedIn
Referring DomainsNumber of domain links to checked URL according to the tool Ahrefs
BacklinksNumber of backlinks to checked URL according to the tool Ahrefs
Referring PagesNumber of referring pages to checked URL according to the tool Ahrefs
Step 3

Output analysis

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 instructionsLink to download tool
OpenRefine instructionsLink to download the tool
Tableau Public instructionsLink 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, exported from the service Ahrefs.

Example dataset of 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 domain".

In the miner selection section, a user then selects the Link Analysis miner and imports 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.

Regular report processing

An output from miner

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.

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