Analytics rules, but then you still must know where to look!
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It is an amazing world today, filled with conversations and customer chatter. A billion dollar opportunity, now one can possibly talk to the customer, listen to his POV and build marketing plans basis conversations and not just hypothetical insights.
But while it is true, one does need a strong analytical bent to analyse and infer from multitude of data points at disposal in this ‘all traceable’ medium; converting data into actionable insights also calls for an additional leap from the comfort of numbers.
If you would have listened to Dan Siroker ( the one who managed web analytics for Barrack Obama’s general elections campaign) you would have been for sure amazed at the power of analytical decision making process.
But then again in the same video presentation if you notice carefully how when responding to a user question (around 34.06 min) about variations of the type of action buttons used in the donations page of the campaign basis previous action of user it seems the segmentation was not really basis Google optimizer.
I am also reasonably sure, some form of statistical modelling tool would have been deployed to get a sense of user action and conversion ratios, but finally some hypothesis basis judgement call would have led to creation of segmentation of user types. I refuse to believe users are so homogenous in nature that pure statistics can neatly bucket user demographics and usage data to neat small target groups. Also searching for data to guide user behaviour would lead to data overload creating an impossible range of data leading to number paralysis.
We must use data to guide us, but then real world insights also help create hypothesis to narrow results to sharpen data points to analyse. Else like someone famous had mentioned looking for insights could mean ‘trying to drink water from a fire hose’.

