Implementing web analytics can help web owners learn about what they are doing right and what needs improvement with respect to their websites. It provides data concerning actions performed by visitors to a website. It can report what pages they visit and how long they visited them for. It can show where they came from both geographically and by web entity, i.e., search engine, direct, etc.
By analyzing the appropriate metrics, you can make changes such as creating sales pages or landing pages to get people to sign up for your mailing lists. These lists can be used to send them offers. You should send them other useful content that is not always sales related, but sending sales offers from time-to-time is perfectly acceptable. As you gain subscribers, these offers can add up to a significant amounts of money, every time you send one of them out.
But there is an even more subtle way to use web analytics to make money. As you improve your website and your metrics start to move in the right direction, you can use the reports that you generate to show potential buyers of the website. Web analytics can be used as proof that your metrics are moving in the right direction. This will give you the ability to charge much higher premiums than other websites.
The key component is that blogs tend to be niche focused. This means you will only attract people that are involved with that niche. As long as you keep your content focused tightly around the niche, your visitors will tend to be very targeted. This is something that is very valuable to potential buyers. Web analytics will show demographics such as which of your visitors are male and which are female. They can tell you what countries they are coming from. They can even tell you which type of browser they using and whether or not it’s from a smart device or a desktop. All of these can be useful to people that are looking for websites with metrics on the rise.
There are several sites that can be used to list your website, such as Flippa.com, Sedo.com and even Godaddy.com has an auction for buying and selling websites. What is most important when selling is to make sure you can show that you are bringing in quality and targeted visitors. This is where web analytics can really help and most webmasters will not think to do this.

With so many data metrics contained within web analytics solutions, it can be a daunting task to learn how to use and interpret the software packages. This article will describe some online resources that are dedicated to helping people learn more about them.

Google Analytics (GA)
Arguably the biggest player in the web analytics space, there is plenty of information available to learn about this solution. Google has a program where you can get certified, which means that you are qualified to use the software and can even help others. After getting certified, you should be able to easily transfer your skills over to any other solution provider as GA tends to be the most comprehensive, at least at the time of this writing.

Webtrends.com
Webtrends.com offers free training videos on how to use its products. While this is geared to specific products, you will get a grasp of how to apply the metrics to your website. The product line is rather extensive and includes features such as analytics, heat maps, A/B testing, demographic targeting, etc. Keep in mind that this is a paid solution. They don’t make their pricing available which is often an indication of a high end product line.

Kindle
Amazon has several books available that you can purchase to learn not only about how to use analytics but in many cases how to improve your website by using analytics programs. These too, tend to be geared towards GA but as mentioned before, these skills can be ported to just about any other platform. The great aspect of Kindle is that if it turns out the book does not offer help or is not written well, you can ask for a refund. As an aside, you do not need a Kindle device to read Kindle books. Amazon makes readers for every device.

YouTube
There is probably a tutorial on YouTube on just about any topic you can imagine. The same holds true for web analytics. Many of the videos will try to sell you their solution or product. But there is one that gives a complete overview of the web analytics process. It’s a great starting point and is less than 10 minutes. In this particular video, there is no sales pitch which you should find refreshing. The information is also well presented. Here is the link: https://www.youtube.com/watch?v=duhHDISQUaM. Feel free to search for other related videos. There are new ones appearing frequently.

Many web owners freak out when faced with the decision to install and use web analytics software. Either they are not technologically proficient or they cannot make sense of all the data points provided by this kind of software. If you have had these reservations yourself, it’s time to get over them. In a nutshell, you shouldn’t run a website or a blog without incorporating web analytics.

There is simply too much valuable information that WA provides to ignore. It could mean the difference in having a successful website. There is something to be said for WA software providing too much information. After all, Google has courses on how to install and interpret the data for their analytics program. After completing all the courses, you can get certified that you have mastered the software. The very fact that these courses exist speaks to the complexity of the provided data.

The key to success with WA is knowing what you want to measure and at what levels are important to you. In essence, you need to draw your line in the sand as to where you want your numbers to be. That does require an understanding of these numbers and also may require trying to find out what numbers others web owners have experienced.

Once you determine what you want to measure and track, the next step is to continue to analyze the gathered data. Many website owners install WA software and then forget about it after a while. WA can give you insights into items such as what pages are being visited and how long people are staying on those pages. You can also tell which pages people are leaving from, although the software can’t give you the reason why people are leaving. These are all important data points which can help you to fine tune your website. When you know which pages people are responding to, you can create similar types of content to get them to further engage in your website.

There are many more data points that WA software captures. This is why you have to focus on the data points that you believe are important to track. Network with other bloggers or web owners to find out what they are doing. Incorporate what makes sense for your website.
There is a time commitment associated with WA, in both learning it and monitoring it. This is what often turns people away from using it. But the benefits that you gain from using the software will override the time outlay by a wide margin.

Imagine being able to determine exactly what your users are clicking on for any page on your website? It is entirely possible with the use of heat maps. Heat map software is a type of web analytics that tracks movements and clicks of your users. They really give you the ability to home in on what kinds of actions users are taking on your website.

The downside to using heat maps is that they cost money, at least the worthwhile ones do. You will have to weigh the benefits against the potential costs. The good news is that companies that provide this type of software will give you a 30-day free trial. It is worth it to take them up on this offer.

Heat maps work by adding a small segment of JavaScript code on your website. Just as with other web analytics software, this has the disadvantage of not working when users disable their browsers. But that shouldn’t be too much of a road block because you want to look at these metrics in the aggregate. Most people do not block JavaScript so you will get a good sampling of data to work with.

Heat maps typically are used to determine such actions as how users are filling out forms. They can also tell you when users are trying to click on components of your page that you haven’t made clickable. This happens often with images. You’d be surprised at how many people click on images. Knowing this information, you could easily make all your images clickable and bring them to a landing page or sales page.

The major vendors in the heat map space are CrazyEgg.com, Tealeaf.com, and Sumome.com. There may be others that pop up as this type of analysis takes hold. There are some free solutions available but they don’t offer all the bells and whistles as the paid options.

Some vendors will provide what is known as scroll maps as another feature. What this tells you is which areas of your pages are users spending the most time in. This can help you place the call to actions is the most heavily used areas. It can also give insight as to whether they are even scrolling down in the first place. If they are not, this could be an indication that the information provided in the fold is not strong enough to keep them on you page or website.

If you finally get around to installing and using web analytics software, you will discover how much data they capture on the behalf of your website. You may think this is great. But most webmasters have no clue as to how to decipher these metrics. That spells huge opportunities for people willing to take the plunge and get through the learning curve.

Google makes training available for its version of web analytics, named appropriately enough, Google Analytics (GA). Even if you aren’t using GA for your own website, the training is extensive enough to learn what you need to know regarding web analytics. Tools may call metrics different names among vendors. They also may have different ways of capturing and reporting the metrics, but similarities between the products will exist throughout. After you go through Google’s training, other vendors software packages will be a breeze to learn. You just have to figure out the differences.

There will be plenty of webmasters that don’t want to deal with the intricacies involved with web analytics packages. Websites that are starting to gain traction in the search engines should be easy prospects as they won’t want to lose that positive growth. It is a matter of reaching out to these website owners and presenting yourself as an expert on web analytics. You can customize reports for these clients and charge them monthly maintenance or monitoring fees.

Using your web analytics expertise can also be a way in to offer other services like SEO or as a Social Media Expert. Another possibility is to offer video creation services or any content generation for that matter. To keep your time free consider outsourcing much of this work. You could even tie everything together by offering to become the Content Marketing Strategist for these companies. Simply put together a content strategy for the particular business and set up monthly payments based on services the clients agree to pay for. You can offer a discount if they client takes on all of the services you offer.

Basing a business off of web analytics is quite feasible because it is an activity that has the potential to improve the visibility of clients websites. This could lead to an increase in sales and customers. You help keep the business owner from having to learn complicated software. They can continue performing the core tasks which is the reason why they started the business in the first place.

Part of the appeal of using web analytics is to be able to determine what is working and tweak what is not. But if you are not able to track everything that drives traffic to your sight, you may be shooting in the dark, with respect to your analysis. Take Pay Per Click (PPC), for instance. Your web analytics will only show that the page was visited, not that it came from your PPC campaigns.

While you can set up some amount of tracking using what is known as actions in your PPC network (and you should), it still won’t show up in your analytics as coming from your PPC. Your analytics will tell you the page that was visited. But suppose you want to use that page across various PPC networks and Facebook advertising? How will you know which one is driving the most traffic and converting?

One way is to set up separate landing pages for each of the PPC networks. If you don’t have many campaigns this may work okay. However, as your campaigns grow you are going to have three or four different landing pages per campaign, or however many networks you use. This can get quite cumbersome over time.

A better way is to tag the URL. Assume your website is called xyz.com and you set up a landing page. Suppose you set up a campaign called sales in your Google Adwords account.

You could tag the URL as follows:
http://xyz.com/landing-page/?Adwords-Sales

When visitors click on this link via Adwords, this tag will appear in your web analytics reports. If you are using Bing PPC you could use the following:
http://xyz.com/landing-page/?Bing-Sales

You can label your tags whatever you want. One caveat is if the URL you want to track already has a tag in it, this method may not work. You have to check the URL before you add it to your PPC campaigns, or anywhere else you want to use this technique. If you see that the correct page does not come up, or you get what is known as a 404 not found error, then you will have to find another way to track.

Most web analytics programs track hundreds of variables. To come up with a predefined list of metrics that are the same for all webmasters equally would be a daunting undertaking, if not impossible. What works for your website may not work for others. You may not get a lot of traffic to your website but the people that visit tend to buy from you. But there are a few metrics that most webmasters feel the need to track. They are also the metrics that tend to be common across most web analytic software packages.

Bounce Rate
Bounce rate is the number of single page visits divided by the total number of entrances to that page. Typically, a high bounce rate indicates that visitors were not interested in what the page had to offer or convey. However, this is not always the case. Suppose you gave your readers exactly what they were searching for and the page answered the question they had. They no longer need an answer so they leave your page. In other words, you gave them too much information. If you instead, gave them some of the information and then you asked them to subscribe to your newsletter in order to get the rest, this will not only help your bounce rate but it will build your list as well.

Exit Rate
This is the last page that a user visited on your website. It’s the place where the user decided that your website is no longer relevant to what they are seeking. If you see a page with a high exit rate, you may want to try and determine what it is about the page that is making visitors leave. Perhaps there is no call to action. It could even be something as simple as grammar errors. Paragraphs that are too long and wordy can also generate high exit rates.

Average Time Spent on Page
If Google sees that you have pages that people are spending a lot of time on, they are going to reward you with higher rankings, all things being equal. If this number is high, you are likely doing something right with respect to the content you are presenting. Try to determine what it is about the page that is keeping people on it and do more of the same.
As stated in the first paragraph, there are many other metrics that you can track and what I believe are the top three may be quite different than what others believe should be the top three. Over time, you will develop your own priority on which metrics to track.

You log into your web analytics dashboard. You get excited because you see a surge of traffic. It is from several different sites. Finally, all your content marketing efforts are starting to pay off. Then you discover that your bounce rate is 100% and the average time spent is 0 seconds. This doesn’t seem right. How can all of these visitors not like the content and leave before even reading it? This is a classic sign of referrer spam and it can skew your metrics in a big way.

Referrer spam is traffic from automated bots that inflate the number of hits in your web analytics metrics. This will invoke the curiosity in unsuspecting webmasters who will go to the site that appears in the analytics report. They do this across many websites and as webmasters explore these sites, it makes it seem to Google that the sites are getting traffic from different sources, i.e., the webmasters themselves. The belief is that Google will consider this traffic legitimate and possibly increase the rank of the site.

The increase in your hits count, is not the only metric to be affected by this practice. As mentioned before, your bounce rate will be at 100% and your average time spent will be 0 seconds. Google does not look highly on sites with high bounce rates. If your visitors are not sticking around to read what you have written this is also not a good situation. Hopefully, the Google algorithm keeps itself apprised of these spam sites and adjusts accordingly.

There are several ways to block this referral spam. However, this means you will have an added duty of frequently checking for new spam sites. It also means for some of the solutions to tinker with a file known as the .htaccess. This is a file that contains rules that can be defined to allow or block certain web entities, including websites. Many webmasters are not familiar with this file and would not be comfortable making any changes. In such cases, it’s best to contact your web hosting company’s technical support for guidance or they can make the changes for you.

Another option is to ignore the situation altogether. If you hold the belief that Google will be smart enough to figure out which traffic data comes from spam bots, this would clearly be the best option for you. Although, you will have to remember to back out this skewed data when you are trying to adjust your content strategy based on your web analytics data.

Before web analytics came to the scene, webmasters relied on log files. These files are stored on your web hosting account. Log files still have some usefulness, although there are shortfalls when using them. Web analytics use a concept known as page tagging. This requires a snippet of JavaScript to be placed on your website somewhere. It analyzes the HTML markup and records such items as what pages users have visited, when they visited, and where they come from, among many other metrics. A cookie is also tracked to determine if the user has been to your website before. Page tagging has its shortfalls as well, some of which will be explored here.

Log file analysis doesn’t require JavaScript to be placed on your website so it is available as soon as you create your website. When visitors or search engine bots visit your website, this gets recorded in the log file. Although log files are not as widely used today, they can be used as a way to check the validity of page tagging or web analytics data. One major limitation is that your hosting provider may periodically flush the log file. If this happens, you won’t be able to maintain a historical perspective for your website. If the hosting company does not empty the file, it can get quite big over time. If you have too many files and the sizes of those files get large, your hosting company may cry foul that you are violating fair use.

You may be thinking that you need to decipher this log file yourself. The good news is that most of the major hosting companies provide tools right within your account to interpret these log files. Usually, you can run them directly from your dashboard. You should see an icon called Webalizer or Awstats. If these don’t exist, contact your hosting company to find out if there any alternative programs.

Page tagging via web analytics stores the data at the provider’s website. The advantage here is that you won’t be using up resources on your website. You will need to include a piece of code that the provider gives you. As mentioned before, this is usually JavaScript code. Page tagging provides much more data and that data is more comprehensive than what is provided by log files. The biggest limitation with page tagging is if the user has disabled JavaScript on their browser or has an add in that does so, you will not get any data for that user. This is why using both page tagging and log file analysis can be a good check.