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.

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.