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
Trust and authority (DA, PA, trust flow, etc)
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.
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
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