thefunnel

Web analytics is hard and difficult! How hard and difficult can it be? It’s only data. Only data? – that’s exactly what the problem is. Unfortunately many companies get stuck, trying to fit their existing marketing metrics thinking into the area of web analytics, when to be successful, it requires a whole new approach, and thinking, and understanding in the limitations of the data based on how it’s captured and configured, in addition to an investment both in technology and in people.  But before even looking at what to invest in, companies first need to decide what they want to measure and why. Too often things are just measured for the sake of measurements, without knowing what it means for the business.  Even if the data in some cases is taken to the next step, and analyzed, it often stops short in providing decision makers with actionable managerial information. So the first step is to work backwards from the high level business objectives and overall metrics, to understand where web analytics can provide some insight. If, it for some reasons doesn’t, that’s also ok, but then companies needs to not waste resources pretending. Secondly various business metrics needs to be holistically aligned. This means segmenting the data and isolating key audiences, so that all measurement sources segment the data in a similar way, aligned with the business / customer segmentation. For example, lets say the web satisfaction data is segmented into large and small businesses, but visitors tracked on the site can’t be filtered with the same granularity, and maybe this is not at all the way the business segments their customers, would basically mean that the measurement system is more or less useless (for business intelligence purposes). Even if the segmentation is aligned too often various business data live in silos and can’t be easily correlated. Thirdly, the business needs to invest in technology and people, because unfortunately good information does not come free. Technology is easy to acquire, but extracting the value from it, typically needs some unique resources. And I’m not talking about the mainstream marketing person. What is required is someone with a combination of analytical skills, business analysis skills, marketing skills and domain expertise. A quite common mistake in many companies is to not invest enough in analytics resources versus technology. And last but not least, any limitations, either because of system limitations or the way the system is configured also needs to be considered, because web analytics is often instead of being perfect or the aboslute truth, more about the trending.