Data-First Marketing: How To Compete and Win In the Age of Analytics

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Data-First Marketing: How To Compete and Win In the Age of Analytics
Authors: Miller
Year: 2020
Publisher: Wiley
Language: english
ISBN 13: 9781119701217
ISBN 369111970121X
Categorie: Sales and Marketing
Pages: 238
Edition: 1

Availability: 5000 in stock

SKU: 9781119701217 Category:

Data-First Marketing: How To Compete and Win In the Age of Analytics Miller, Janet Driscoll, Lim, Julia

Supercharge your marketing strategy with data analytics In Data-First Marketing: How to Compete & Win in the Age of Analytics, distinguished authors Miller and Lim demystify the application of data analytics to marketing in any size business. Digital transformation has created a widening gap between what the CEO and business expect marketing to do and what the CMO and the marketing organization actually deliver. The key to unlocking the true value of marketing is data – from actual buyer behavior to targeting info on social media platforms to marketing’s own campaign metrics. Data is the next big battlefield for not just marketers, but also for the business because the judicious application of data analytics will create competitive advantage in the Age of Analytics. Miller and Lim show marketers where to start by leveraging their decades of experience to lay out a step-by-step process to help businesses transform into data-first marketing organizations. The book includes a self-assessment which will help to place your organization on the Data-First Marketing Maturity Model and serve as a guide for which steps you might need to focus on to complete your own transformation. Data-First Marketing: How to Compete & Win in the Age of Analytics should be used by CMOs and heads of marketing to institute a data-first approach throughout the marketing organization. Marketing staffers can pick up practical tips for incorporating data in their daily tasks using the Data-First Marketing Campaign Framework. And CEOs or anyone in the C-suite can use this book to see what is possible and then help their marketing teams to use data analytics to increase pipeline, revenue, customer loyalty – anything that drives business growth.
Categories:
Business & Economics – Sales & Marketing
Year:
2020
Edition:
1
Publisher:
Wiley
Language:
english
Pages:
238
ISBN 10:
111970121X
ISBN 13:
9781119701217
File:
22.66 MB

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