Sexy Little Numbers: How to Grow Your Business Using the Data You Already Have
Dimitri Maex (Auteur), Paul B. Brown (Auteur)
Acheter neuf : EUR 21,94 (as of 12/20/2012 08:20 PST)
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Description du produit
Imagine if you could identify your business's most profitable customers, craft a better marketing strategy to communicate with them, and inspire them to buy more? Well now you can. And the best part is that you can do it "using the data you already have. " Today, "everything" we do creates data, and the volumes are enormous. Virtually every time someone views something online, enters search on Google, or even surfs the web on a smart phone, another chunk gets added - in real time - to the multibillion gigabyte (and growing) trove of data that can help us better understand and predict consumer behavior. We no longer need expertise in math or statistics or even expensive modeling software to get the most out of all these revealing consumer insights. A revolution in data analysis is underway, and the methods and tools for aggregating and analyzing this "data deluge" are suddenly far simpler, less expensive, and more precise than they were. In this book - the first of its kind - Dimitri Maex, Managing Director of global advertising agency OgilvyOne New York and the engine behind the agency's global analytics practice, reveals" how to turn your data - those sexy little numbers that can mean more profit for your business - into actionable strategies that drive real growth and revenues. And he can show you how to do it at virtually no cost." In his clear, easy-to-understand style, he explains how to: - Identify which customers are most valuable, which have the most potential to be valuable, which are most likely to buy more in the future, and which are not worth targeting. - Allocate your marketing assets in the best possible way and pinpoint the outlays that will generate the highest possible returns. - Figure out precisely which communication or media brought a customer to your company's web site and what that customer will do once she arrives. - Predict which products or services customers will""want "in the future." - Learn which customers are preparing to defect t
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