Book description
This is the Rough Cut version of the printed book.
Marketing has always been about "me": my brand, my product, my company. But "inside-out" marketing no longer works: your customers simply won't tolerate it anymore. You need to transform your marketing to "outside in." Every message you deliver must engage, fascinate, and motivate the right audiences, because you start and finish with what they already care about. Your marketing itself must provide value to customers -- whether they buy today, next month, or far into the future. How do you know what messages will do that? How do you get those messages past tough new digital gatekeepers? You start here, with Outside In Marketing.
Two world-renowned digital marketing thought leaders will show how
to integrate content marketing with Big Data to deliver exactly the
right messages to exactly the right customers and influencers.
IBM's James Mathewson and Converseon's Mike Moran reveal how to
make the most of today's Big Data algorithms to shape your messages
and get them past Google and Facebook. You'll find up-to-the-minute
practices, techniques, recommendations, guidelines, and metrics for
mining the language your customers already use, so you can engage
them on their terms, with their words. Mathewson and Moran show how
to:
Go beyond "guess and hope" to transform your marketing practices, campaigns, and channels with Big Data
Recognize how Google uses natural language processing, machine learning, and data analytics "against" you - and overcome the obstacles they create
Infuse search and social data into product development from its very inception, so you can tightly align your offerings with customer needs
Measure campaign results more accurately, and feed metrics right back into practices for iterative improvement
Discover exactly what content is working now, and what's failing
Uncover powerful new opportunities to develop discoverable, shareable content
Go beyond high-quality content: align all your marketing and communications practices to support outside-in marketing
Leverage advanced applications of text analytics and machine learning, including Panda, Penguin, Caffeine, and sophisticated sentiment analysis
Build standout web and mobile sites based on all you've learned about your customers
Find the right mix, cadence, and combination of social platforms to maximize ROI
Table of contents
- About This E-Book
- Title Page
- Copyright Page
- Contents at a Glance
- Contents
- Preface
- Acknowledgments
- About the Authors
-
1. Understanding Outside-In Marketing
- What Is Outside-In Marketing?
- Is Outside-In Marketing Really That Different?
- Direct Marketing: Push vs. Pull
- Advertising: Broad Spend vs. Narrow Spend
- Telemarketing: Interruption Marketing vs. Interception Marketing
- Event Marketing: Short Shelf Life vs. Long Shelf Life
- What Is Content Marketing?
- Wrapping Up: From Inside-Out to Outside-In
-
2. Content Marketing: A Deeper Dive
- What Content Marketing Is
-
What Content Marketing Is Not
- Content Marketing Is Not About Volume
- Content Marketing Is Not a Cheaper Form of Print
- Content Marketing Is Not Merely Social Media Marketing
- Content Marketing Is Not Merely Online Publishing
- Content Marketing Is Not Just for Market Capture
- Content Marketing Is Not a Replacement for Public Relations
- Wrapping Up: Content Marketing Takes a Village
- 3. Content Marketing Transformation: Culture
- 4. Infrastructure Transformation: Targeted Content
- 5. Content Strategy: Aligning Content to the Buyer Journey
- 6. User Experience: Helping Buyers Make Purchasing Decisions
- Index
Product information
- Title: Outside-In Marketing: Using Big Data to Guide your Content Marketing
- Author(s):
- Release date: October 2015
- Publisher(s): IBM Press
- ISBN: 9780133375572
You might also like
book
Tidy First?
Messy code is a nuisance. "Tidying" code, to make it more readable, requires breaking it up …
book
Deciphering Data Architectures
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern …
book
Creating a Data-Driven Organization
What do you need to become a data-driven organization? Far more than having big data or …
video
Introduction to ChatGPT and OpenAI
OpenAI ChatGPT is a powerful language model that uses advanced ML techniques to generate human-like text …