There is a lack of skilled employees required to manage, distribute and analyze Web analytics. Historically, web analytics was developed by IT for IT. The people using them were comfortable with dealing with raw data. Web analytics tools have been designed to be interpreted by technical personnel. There was little regard for people without technical skills. As a result, the rest of the organization has become alienated from analytics. A good web analytics solution has to be easy to understand for any member of the organization. One of the biggest misconceptions of web analytics is that it needs to be complex.

Often, web analytics generate a huge amount of data. The end result is data overload that lacks actionable information. Frequently, insignificant data becomes the noise around actionable data. The noise makes the process overwhelming. Instead of providing answers, web analytics can create more questions. Meaningful interpretation of data has created a hostile attitude toward web analytics among the non-technical people of the organization.

Web analytics is not easy by any stretch of the imagination. Web analytics tools provide data not information or insight. We need the tools to provide us with the raw data, but it’s up to us to make sense of it all.

The real value of KPI is continuous monitoring. It is not a once a year or once a quarter project. At the very least, you should examine your KPIs once a month. Monitoring is continuous; reviewing happens on a regular interval.

The most important KPIs are the ones that measure whether business objectives are met or not. It is great to know how many visitors a web site has in a month, but it is more useful to know what percentage of users make a purchase.

Web sites are no longer just online catalogs with a shopping cart. They are becoming complex applications with high levels of interactivity. Today, a highly usable site is also highly interactive. If the on site search is not working properly, you have a web site that lack interactivity. Therefore, it scores low in the usability scale. If the site navigation is counter intuitive, it will result in low usability score. All of the above will result in lower conversion therefore lower revenue. According to studies, many online shoppers give up and abandon the shopping process due to usability issues.

Web analytics must be viewed as an activity directly tied to revenue. It is indeed a revenue generating process. The absence of web analytics can result in loss of revenue, and the presence of it will almost certainly result in increased revenue.

Many companies don’t realize the potential for positive impact that web analytics can have on their business. Often, our ignorance prevents us from acknowledging the potential of web analytics. Companies with defined analytics programs are realizing double-digit growth in new Web site visitors, returning visitor traffic and conversion rates.

With growing pressure to make your marketing efforts, more profitable web analytics is becoming more-and-more critical. Let’s say you suspect that your website has to improve its usability. With web analytics, you can measure the effectiveness of your site usability. Then, based on the intelligence you gather, you can make the necessary changes. Due to the improvements you have made you may be able to improve your conversion substantially. As a result, you can measure the value of web analytics in terms of revenue.

The barriers to entry for adopting analytics technologies that can dramatically improve online businesses have never been lower. There are many inexpensive and even free options to start web analytics integrating into your business processes. Web analytics is not about technology. It is much more about people. Before you invest money in web analytics, you must invest in people. People within your organization must realize the importance of measuring your web presence.

Every business with a web presence must build a strategy around web analytics. Our goal is to get the highest possible value from KPIs. According to Forrester B2B, tech companies have realized 500-800% return on a 100K/yr in house analyst. Retail businesses realized 1000-3000% return on the same 100K/yr web analyst.

In the early days of online business, websites were built with ill-defined goals and very little consideration for ROI. If you want to succeed online today, you should not spend a dime without commercial benefit. Unless your decisions are based KPIs measure through your web analytics efforts, you are most likely to fail. You cannot compete without knowing exactly how effective your initiatives are. In every business, the focus is on the bottom line, and the same is true for web analytics.

Imagine how much more revenue you could be generating by analyzing the proper KPIs. Even better, imagine how much money your business is losing by not taking advantage of web analytics. Today, we have to necessary tools to make decisions based on data instead of intuition. We have to have a strategy to measure success and failure to maximize ROI. Always look at how much something costs. A bad business decision may cost loss of revenue. A business without web analytics will result in continuous bad decisions that is very likely will result in a failing business.

There is a lack of skilled employees required to manage, distribute and analyze Web analytics. Historically, web analytics was developed by IT for IT. The people using them were comfortable with dealing with raw data. Web analytics tools have been designed to be interpreted by technical personnel. There was little regard for people without technical skills. As a result, the rest of the organization has become alienated from analytics. A good web analytics solution has to be easy to understand for any member of the organization. One of the biggest misconceptions of web analytics is that it needs to be complex.

Often, web analytics generate a huge amount of data. The end result is data overload that lacks actionable information. Frequently, insignificant data becomes the noise around actionable data. The noise makes the process overwhelming. Instead of providing answers, web analytics can create more questions. Meaningful interpretation of data has created a hostile attitude toward web analytics among the non-technical people of the organization.

Web analytics is not easy by any stretch of the imagination. Web analytics tools provide data not information or insight. We need the tools to provide us with the raw data, but it’s up to us to make sense of it all.

The real value of KPI is continuous monitoring. It is not a once a year or once a quarter project. At the very least, you should examine your KPIs once a month. Monitoring is continuous; reviewing happens on a regular interval.

The most important KPIs are the ones that measure whether business objectives are met or not. It is great to know how many visitors a web site has in a month, but it is more useful to know what percentage of users make a purchase.

Web sites are no longer just online catalogs with a shopping cart. They are becoming complex applications with high levels of interactivity. Today, a highly usable site is also highly interactive. If the on site search is not working properly, you have a web site that lack interactivity. Therefore, it scores low in the usability scale. If the site navigation is counter intuitive, it will result in low usability score. All of the above will result in lower conversion therefore lower revenue. According to studies, many online shoppers give up and abandon the shopping process due to usability issues.

Web analytics must be viewed as an activity directly tied to revenue. It is indeed a revenue generating process. The absence of web analytics can result in loss of revenue, and the presence of it will almost certainly result in increased revenue.

Spes Media – Web Marketing Consulting Company.

visitors searching and browsing behavior. The resulting traffic changes and most frequent keyword phrases that appear in these web analytics reports are the Site Catalyst of any SEO campaign.
This helps one understand the information retrieval algorithms and heuristics process that takes place when search engines qualify a web page for a particular keyword phrase. That is why in order for a web page to be considered relevant, its content organization must accommodate a wide variety of direct and semi-direct search behavior, which is mostly disclosed by its own metrics, in a given time period.
Part of the important information web analysis provides is the amount of words and phrases people type into search queries to find a particular web page, and it is equally important to include this information in order to receive targeted search engine traffic. That is just one of the aspects in the existing relation between web analytics and SEO: understanding how visitors search and browse websites.
In a similar fashion, search engine generated traffic is reported by a web analytics tool, including the phrases entered into the search engine that were used to find a website. By separating the paid traffic generated by SEM from the total traffic that was referred by search engines, you can monitor the effectiveness of SEO efforts. Higher-end analytic tools break out organic search engines into a separate report.
Another area where this statistical data is used for SEO benefits is in copywriting. Understanding how to write for the target audience of a website is key. Finding the right terms to use semantically within the copy of a web page is one of the main components of all successful SEO efforts. A SEM should always consider what each web page communicates to site visitors and search engines. This content should not only help achieve top search engine rankings, but it should also encourage searchers to visit the website.
To improve positioning on search engine results pages, you need to be able to measure effectiveness. These tools make measuring your improvement on search engines easy, but it is really important to know is if the improvement affects traffic and sales. By monitoring and tracking this information frequently, a SEO can make recommendations, prove these recommendations work, and accurately report on the true effectiveness of these changes. Web analytic helps shorten the gap between what you think your visitors are searching for, and what they actually are.

There is a lack of skilled employees required to manage, distribute and analyze Web analytics. Historically, web analytics was developed by IT for IT. The people using them were comfortable with dealing with raw data. Web analytics tools have been designed to be interpreted by technical personnel. There was little regard for people without technical skills. As a result, the rest of the organization has become alienated from analytics. A good web analytics solution has to be easy to understand for any member of the organization. One of the biggest misconceptions of web analytics is that it needs to be complex.

Often, web analytics generate a huge amount of data. The end result is data overload that lacks actionable information. Frequently, insignificant data becomes the noise around actionable data. The noise makes the process overwhelming. Instead of providing answers, web analytics can create more questions. Meaningful interpretation of data has created a hostile attitude toward web analytics among the non-technical people of the organization.

Web analytics is not easy by any stretch of the imagination. Web analytics tools provide data not information or insight. We need the tools to provide us with the raw data, but it’s up to us to make sense of it all.

The real value of KPI is continuous monitoring. It is not a once a year or once a quarter project. At the very least, you should examine your KPIs once a month. Monitoring is continuous; reviewing happens on a regular interval.

The most important KPIs are the ones that measure whether business objectives are met or not. It is great to know how many visitors a web site has in a month, but it is more useful to know what percentage of users make a purchase.

Web sites are no longer just online catalogs with a shopping cart. They are becoming complex applications with high levels of interactivity. Today, a highly usable site is also highly interactive. If the on site search is not working properly, you have a web site that lack interactivity. Therefore, it scores low in the usability scale. If the site navigation is counter intuitive, it will result in low usability score. All of the above will result in lower conversion therefore lower revenue. According to studies, many online shoppers give up and abandon the shopping process due to usability issues.

Web analytics must be viewed as an activity directly tied to revenue. It is indeed a revenue generating process. The absence of web analytics can result in loss of revenue, and the presence of it will almost certainly result in increased revenue.