Do you remember the promise of true 1 to 1 marketing from over 10 years ago where technology would automagically give a unique message to every customer returning to the site or every email subscriber? Well our analytic capabilities have advanced a lot, but many companies are a long way from delivering targeted, relevant emails.
You only have one chance to create your first impression. Learn more about selecting the main message for the homepage of a website with two very unique target audiences can be very complicated. By segmenting and targeting your traffic you will be sure to provide the best experience for each individual segment.
In part I of this article, I discussed the unintended consequences of Targeting and how they can decrease the information quality served to consumers and their likelihood to find new products. In this part II, I turn now to a review of some of the approaches that have been advanced to increase these chances.
According to a recent New York Times column, the reason why personalized marketing is "being hailed as the latest breakthrough" is that it "tries to show consumers the right ad at the right time." From the standpoint of the advertiser, all this is indeed wonderful. Yet, it is worth asking whether there are reasons for concern. In this article, I discuss one such reason.
In this video we discuss the development of the Web Analytics industry with Web Analytics Demystified Senior partner, John Lovett. He shares with us insights on how to make websites more relevant to users, how the WAA is acting to foster the industry, and where we, as an industry, are heading towards.
In Part III Neil Mason presents examples on how to use data mining and segmentation to understand customers and create personas based on behavior. This will help us to understand where the customers are likely to go, helping us to design their experience and target them in a more scientific way.
Following Neil Mason's discussion on Data Mining Process and Predictive Analytics (part I of this presentation), he nows discusses the Data Extraction, Transformation and Loading, a critical step on the data mining process. Neil also goes over a case study on customer segmentation where he explains two different ways of applying behavioral segmentation strategies.
"Data: Discovery: Tell me something that I don't know" is the definition of data mining - discovering unexpected patterns and relationships in data. In Part I Neil discusses the difficulty of extracting signals from all the noise present in the overwhelming quantity of data we deal with nowadays.
Your online traffic is like a mixed fruit basket, similar in many ways, but also very different. ￼Marketing to a mixed basket is difficult - how can you possibly know the right image, message, tone and offer that will appeal to anyone & everyone? Landing pages are the perfect place to try out segmentation...