Using Creativity and Data in Marketing - Unlocking Creative Value With Insight and Imagination

Understand how to harness data to drive creativity in your marketing, creating data-informed, imaginative campaigns that have real-world impact.

List of contents

Section - ONE: Inform Chapter - 01: Data-Driven Marketing: A Historical Perspective Chapter - 02: The Power of Data in Unleashing Creativity Chapter - 03: Real World Examples: Success Stories from the Front Lines Chapter - 04: The Future is Bright Section - TWO: Inspire Chapter - 05: The Art of Data Interpretation Chapter - 06: From Insights to Ideas: The Creative Leap Chapter - 07: Balancing Data and Intuition: The Human Element Section - THREE: Innovate Chapter - 08: Building a Data-Driven Creative Team Chapter - 09: Tools and Technologies for Data-Driven Creativity Chapter - 10: Implementing the Process: From Dashboards to Decisions Chapter - 11: Future-Proofing Your Marketing Strategy

About the author

Tom Ollerton is the founder of Automated Creative, the creative effectiveness platform who have optimised over 6 billion impressions globally for companies such as MARS, P&G, Diageo and McDonalds. Based in London, UK, he is the host of the Shiny New Object podcast and Advertisers Watching Ads series. He has appeared at MAD//Fest for the last 3 years and was a Juror for the World Federation of Advertisers Marketer of the Year Award 2023. He has spoken at conferences such as Performance Marketing World Unlocked, AdWeek and Social Media Week and is a popular podcast guest.

Product details

• Authors: Tom Ollerton
• Publisher: Kogan Page
• Languages: English
• Product format: Hardback
• Release: 03.06.2025, delayed
• EAN: 9781398619272
• ISBN: 978-1-398-61927-2
• No. of pages: 288
• Subjects: Social sciences, law, business > Business > Individual industrial sectors, branches; Advertising, BUSINESS & ECONOMICS / Strategic Planning, BUSINESS & ECONOMICS / Advertising & Promotion, E-commerce: business aspects, Sales & marketing, Sales and marketing, BUSINESS & ECONOMICS / E-Commerce / Digital Marketing, Data analysis: general, Data science and analysis: general, Online marketing / Social media marketing