Before you decide to get a link from a site, evaluate the value of the linking page and the linking site. I have found 10 factors which can help. If you know of any other factors, then please share it in the comment section below. Here are my 10 factors:
Page Rank of the potential linking page and the linking site.
Although Page Rank is not the most important factor to consider, i started with PR because it tells a lot about a page. If PR is grayed, then may be the linking page is not in the Google Index, may be it has got some penalty, it may be a brand new page, may be it is not getting any link juice because of some crawling issues or it may be blocked from search engines via robots.txt or meta noindex tag. In either case, it make sense to digg out why the PR is grayed. If it is grayed because of any of the aforesaid -ve SEO issues, then the page is not worth targeting for a back link.
Cache Date of the potential linking page
Through Cache date of the linking page you can find out, how frequently the linking page is crawled and indexed. If cache date is more than 3 months old, then the page is not worth targeting as bots may have stopped crawling the web page.
Index Status of the potential linking page
Use site: command on Google to find out whether the page is in the Google Index or not. If site: command doesn’t return any results, then simply copy and paste the contents of the page in Google search bar. If the page doesn’t come up on SERP for its own contents then it is not in the Google Index and hence not worth targeting.
NoIndex, NoFollow Status
Make sure that the liking page doesn’t contain nofollow and noindex meta robots tag. Also check the robots.txt for any possible blocking of the page from the search engines.
Ideally the number of outgoing links (both internal and external) on a webpage should not be more than 30. More the number of outgoing links on a web page, lesser is the value of a link from that page. So if a potential linking page has more than 100 outgoing links, then it is not worth targeting.
Back link Analysis
Make sure that the anchor text of your back link contain your targeted keywords. Some webmasters won’t let you use your desired anchor text as it reduces the readability of their site and give a bad user experience. Like you submit an article on ‘selecting car insurance companies’ on the linking site and then sign it as ‘Car insurance India’ with a link back to your site. But ‘car insurance india doesn’t make any sense as a stand-alone text (even if you used it between text). So it makes sense to contribute something which can justify the use of your anchor text or use anchor text in an intelligent way like: ‘Zeyx Car Insurance Company of India’.
The linking page and the linking site should be on the same/similar topic as the linked to page. If it is not, then the potential linking page won’t pass any topical relevance to your website. It means if your website is on ‘Dogs food’ and you get a link from a ‘cats food’ website, then that link won’t make your website any more relevant for the keyword ‘Dogs food’.
The linking page and the linking site should be relevant to the geo-location your site is targeting. If it is not, then the potential linking page won’t pass any geo-relevance to your website. It means, if your website is targeting ‘new york’ and you get a link from the site which is relevant for ‘los angeles’, then such link won’t make your site any more relevant for the ‘new york’ area.
Trust and Authority
Last but not the least, you need to determine the trust and authority of the linking page and the linking site. You can use ‘open site explorer‘ for this. Through page authority and domain authority you can determine the ranking potential of the linking page and the linking site.
So they are teaching GA and GTM in the name of teaching Web analytics.
They just copy each other. Monkey see, monkey do.
But Web analytics is not about GA, GTM.
It is about analyzing and interpreting data, setting up goals, strategies and KPIs.
It’s about creating strategic roadmap for your business.
Web Analytics is the core skill. Google Analytics is just a tool used to implement ‘Web Analytics’.
You can also implement ‘Web analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.
Using Google Analytics without the good understanding of ‘Web analytics’ is like driving around in a car, in a big city without understanding the traffic rules and road signs.
You are either likely to end up somewhere other than your destination or you get involved in an accident.
You learn data analysis and interpretation from Web analytics and not from Google Analytics.
The direction in which your analysis will move, will determine the direction in which your marketing campaigns and eventually your company will move to get the highest possible return on investment.
You get that direction from ‘Web analytics’ and not from ‘Google Analytics’.
You learn to set up KPIs, strategies and measurement framework for your business from ‘Web analytics’ and not from ‘Google Analytics’.
So if you are taking a course only on 'Google Analytics’, you are learning to use one of the tools of ‘Web analytics’. You are not learning the ‘Web analytics’ itself.
Since any person can learn to use Google Analytics in couple of weeks, you do no get any competitive advantage in the marketplace just by knowing GA.
You need to know lot more than GA in order to work in Web analytics and marketing field.
So what I have done, if you are interested, is I have put together a completely free training that will teach you exactly how I have been able to leverage web/digital analytics to generate floods of news sales and customers and how you can literally copy what I have done to get similar results.
Here what You'll Learn On This FREE Web Class!
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
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 Beyond
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.
Digital Marketing Consultant and Founder of Optimizesmart.com
Himanshu helps business owners and marketing professionals in generating more sales and ROI by fixing their website tracking issues, helping them understand their true customers' purchase journey and helping them determine the most effective marketing channels for investment.
He has over 12 years of experience in digital analytics and digital marketing.
He was nominated for the Digital Analytics Association's Awards for Excellence. The Digital Analytics Association is a world-renowned not-for-profit association that helps organisations overcome the challenges of data acquisition and application.
He is the author of four best-selling books on analytics and conversion optimization: