Sexy Little Numbers: How to Grow Your Business Using the Data You Already Have

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· Penguin Random House Audio · Narrated by Steve Kramer
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6 hr 54 min
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About this audiobook

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 to the competition and how to stop them.
   • Determine which customers buy your product because it is perfect for their needs, which ones purchase because they liked your ad, which ones chose you because of an appealing price, and which ones came to you through word-of-mouth…or some combination of all these  factors.
   • Drill your geographic targeting down to the regional, zip code, and even neighborhood level.
   • Optimize your web presence to get the maximum return from search.

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.

http://sellorelse.ogilvy.com/sexy-little-numbers

Ratings and reviews

4.8
6 reviews
Anil Das
January 25, 2021
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About the author

DIMITRI MAEX is Managing Director of OgilvyOne New York, Ogilvy & Mather’s Direct and Digital operations.  He also serves as the head of the company's Global Data Practice, a team that has been recognized by Forrester Research as being number one in the industry. Renowned worldwide for the analytics solutions he’s developed, he has helped companies such as GlaxoSmithKline, IBM, Philips, Siemens, Sears, UPS, and many other global enterprises employ hugely profitable and radically new uses for their data and analysis.

PAUL B. BROWN, a long-time contributor to The New York Times, is a bestselling author who has collaborated on numerous business classics including Customers for Life (with Carl Sewell) and Your Marketing Sucks (with Mark Stevens).

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Narrated by Steve Kramer