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:
A must read for marketers striving to get the biggest ROI on their advertising dollars, small business owners eager to grow faster, researchers needing a consumer in mind for whom to create new products or services, those in finance responsible for growing the bottom line, and even creatives looking for feedback to help them improve their output, Sexy Little Numbers is THE essential tool not just for math nerds and number crunchers, but for anyone wishing to use the data at their fingertips to grow their business and increase their profits dramatically.
©2012 Dimitri Maex, Paul B Brown (P)2012 Random House Audio
Maybe, just to refer to some of the vendors and resources that the author mentions.
The author had some very strong obviously biased opinions about some things considering that he believes in data driven decisions. If you can look past that, you can find value in his approaches to data analysis, which he dubs mathematical marketing. Particularly his references to OgilvieEvaluate and funnel allocation are useful and interesting frameworks to consider employing.
The narrator spoke clearly and was easy to understand. The speech was changed to indicate that you were listening to the audio version. When referencing a chart, he would reference the additional PDF available, and would change nouns and verbs when appropriate.
I think it's a great story, concept, and book. But it relies heavily on diagrams and figures, which is not well suited for an audio book. I listened to this while driving and I missed a lot of the value because I wasn't able to look at the diagrams while listening.
You get to learn interesting facts about your business when you know where to look for the information that has been there since the beggining.
I never got to download the pdf the book refers to, which made it a little complicated to follow up with some parts of the book.
He gets into the story he is telling and you feel as he lived it himself.
In front of your eyes there is a world of information, you just need to know how to look at it.
This isn't a bad book. And it isn't a boring book. For what it is, it's good. But only if you're:
1. Working at the top of a big corporation or large advertising agency.
2. Enjoys math.
If you fulfill the above two criteria, it's a good book for you. It ain't fluff, it's packed with concrete advice on using data to boost the bottom line of your client or company.
But it isn't applicable to small or medium sized business.
I think you should read rather than listen to this book. I comprehend much better visually than listening to what they were saying. Books good just not for an audiobook
Report Inappropriate Content
If you find this review inappropriate and think it should be removed from our site, let us know. This report will be reviewed by Audible and we will take appropriate action.