Link building is an important part of an SEO campaign and marketers need to continuously track the campaigns’ performance in order to optimize them.
One way of measuring the link building performance is through keywords performance analysis in terms of rankings, traffic, and conversions.
Another way is through link building dashboards. I am going to set up powerful and actionable link building performance dashboards for you.
But before we dive deep, let us get on the same page about the value of links.
What is the commercial value of a backlink?
I thought hard and deep about how the commercial value of links can be evaluated in a scalable way and came to the following conclusion:
A link that generates traffic and conversions is a high-value link and the link which doesn’t is a low-value link.
Once a link has generated traffic and conversions, it has served its commercial purpose.
I like keeping things simple.
Consequently, I discounted the following attributes of backlinks in reporting for good:
Page rank of the linking page
No follow status
Anchor text
Topical relevance
Geo relevance
Trust and authority (DA, PA, trust flow, etc)
Branded, non-branded
Partial/exact match phrase
The main reason for not reporting these metrics is that they don’t align with business objectives and we are committed to reporting something which is ‘business bottomline impacting’. The other but personal reason is that I don’t want to look stupid by talking about partial/exact match anchor texts or followed/no-followed links in front of my clients.
Honestly, who cares about such vanity metrics in the business world. However, feel free to use these metrics for internal reporting/work.
A backlink is a referrer domain
I know we all know it. But you need to start treating backlinks as ‘referrer domain’ loudly and openly and not just sub-consciously. This will help you in evaluating the value of a link. For example, let us suppose your blog got a backlink from the moz.com website.
Now how you will evaluate the commercial value of this link? The answer is straightforward. Go to Referrals report (under Acquisition > All Traffic in Google Analytics) and then determine the traffic and conversions generated by the domain from which you got the backlink.
Soon you will realize that not all backlinks are referrer domains and that is perfectly normal. They never sent any traffic to your site, so Google Analytics never recorded them.
Often such links are from free and paid directories, article submissions sites, low-quality guest posts, link networks, etc. We don’t need to talk about such links in external reporting. At best they can be reported as the raw number of links built (if you still insist).
So if we are doing high-quality link building then the number of referrer domains must increase every month and there should be traffic and conversions through these domains.
Referral traffic analysis
Referral traffic analysis is the best way to evaluate the performance of links acquired through a marketing campaign.
But before we start our analysis, we need to keep in mind that not all referral traffic is because of link building efforts especially if your client is doing multi-channel marketing.
Your website may also get referral traffic because of PPC campaigns, affiliates, or other personal web properties. Therefore while counting the number of referrer domains generated through link building, you need to exclude:
1. All the other websites are owned by the client. There can be hundreds of such sites if your client is very big.
2. All the affiliate websites. The traffic from affiliate websites can be treated as referral traffic by Google Analytics.
3. All Adwords placement domains. When you run Display ads via Google Adwords, you get traffic from websites that are also treated as referral traffic by Google Analytics. For example, if you are running display ads on youtube.com and you are getting traffic. Then youtube.com will be treated as referrer domain by Google analytics.
4. All the referrer domains which are built by other marketing agency or some other campaigns.
I create and apply advanced segments to exclude all such domains from my referral traffic report in Google Analytics while evaluating the performance of link building campaigns.
Once I have applied the advanced segments, I download the data and create the following dashboards in Excel. Yes, the real dashboards are created in Excel :)
You can get the number of referrer domains through Google Analytics ‘Referral’ report.
Through the ‘Referral Visits vs. Bounce Rate’ chart, I am determining the quality of the referral traffic.
The ‘Referral Visits vs. Conversions’ and ‘Referral Visits vs. Revenue’ charts give additional insight into the quality of the referral traffic.
If visitors through referrer domains are engaging with my site content then bounce rate is going to be lower. But what if this engagement is for all the wrong reasons? For example, if visitors are engaging with my website for all the wrong reasons then how can I be sure of this?
I can determine this through ‘Referral Visits vs. Conversions’ and ‘Referral Visits vs. Revenue’ charts.
If user engagement is not distraction and is truly profitable for your business then the referral traffic should convert.
From the charts above we can see that though the referral traffic is increasing month after month the revenue and conversions through referrer domains is still going down. This means we have got work to do. We need to determine what is going wrong on our website and why referral traffic is not converting well. Maybe we are targeting wrong linking partners.
The ‘Transactions vs. Average Order Value’ chart gives further insight into why the revenue through referral traffic is going down.
The main problem seems to be ‘average order value’ which has been going down since August. What could be the reason for low-value orders placed on the website? We need to determine this.
These are examples of some of the things you can do with the link building dashboards.
"How to use Digital Analytics to generate floods of new Sales and Customers without spending years figuring everything out on your own."
Here’s what we’re going to cover in this training…
#1 Why digital analytics is the key to online business success.
#2 The number 1 reason why most marketers are not able to scale their advertising and maximize sales.
#3 Why Google and Facebook ads don’t work for most businesses & how to make them work.
#4 Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
#5 The number 1 reason why conversion optimization is not working for your business.
#6 How to advertise on any marketing platform for FREE with an unlimited budget.
#7 How to learn and master digital analytics and conversion optimization in record time.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and BeyondSECOND EDITION OUT NOW!
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.
About the Author
Himanshu Sharma
Founder, OptimizeSmart.com
Over 15 years of experience in digital analytics and marketing
Author of four best-selling books on digital analytics and conversion optimization
Nominated for Digital Analytics Association Awards for Excellence
Runs one of the most popular blogs in the world on digital analytics
Consultant to countless small and big businesses over the decade
error: Alert: Content is protected !!
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Allow Cookies”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checkbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.