Catalog Search Results
Author
Pub. Date
2011.
Language
English
Description
"Most startups are built to fail. But those failures, according to entrepreneur Eric Ries, are preventable. Startups don't fail because of bad execution, or missed deadlines, or blown budgets. They fail because they are building something nobody wants. Whether they arise from someone's garage or are created within a mature Fortune 500 organization, new ventures, by definition, are designed to create new products or services under conditions of extreme...
Author
Pub. Date
2005.
Language
English
Description
What's a customer really worth? Can you find out, without endlesslycomplex modeling? And once you know, what should you do with thatknowledge? Managing Your Customers as Investments has the answers.You'll learn simple ways to get reliable customer value information--ina form you can use. You'll discover how to use it to measure marketingeffectiveness, generate improvements throughout the entire customerrelationship lifecycle, and improve decision-making....
Author
Series
Wiley and SAS Business volume 41
Pub. Date
[2011], ©2011
Language
English
Description
"Expert guidance on information management for optimum customer intelligence processes Providing essential guidance for information management, this book helps you understand the basics of information management, how to design and launch customer intelligence campaigns, and optimize existing customer intelligence processes. How to align information management with company strategy Examines how to get, grow, and retain valuable customers Discusses...
Author
Pub. Date
2015.
Language
English
Description
"This book focuses on fixing marketers' highly inefficient processes and spotty results and describes how to be more "revenue predictable". The book explains the key principles of behavioral marketing, which include: customer journey mapping, channel-level planning, data capture and hygiene, campaign creation, delivery best practices, and measurement/optimization. It will include up to 10 case studies across multiple industries highlighting the revenue...
Series
Pub. Date
[©2011]
Language
English
Description
150 powerful bite-size techniques for creating high-value brands - and keeping them strong! Three full books of bite-size, actionable guidance on branding and marketing! Discover how to build great brands, and keep them great... ensure branding consistency everywhere from your packaging to your salesforce... promote and leverage brand loyalty... embed deep customer motivations into your brands... create cultures that can support authentic brand messages......
Pub. Date
2019.
Language
English
Description
"Presented by Anupama Joshi, Director, AI Engineering at Target. Companies are moving towards AI/Machine learning very fast. Data scientist are building models and training models. But challenges come when deploying models in production. How to maintain multiple models? Creating a common platform that allows model management and deployment easily and reliably is becoming a necessity for organizations to accelerate product development. In this talk,...
Pub. Date
2020.
Language
English
Description
"Presented by Dhivya Rajprasad, Data Scientist at Levi Strauss & Co. Levi Strauss and Co has always been at the helm of innovation with their classic denims and seasonal takes on the future of denim . We would like to enable users who visit our website, receive our emails and visit our stores to have the most personalized experience with easier product discovery. To enable this, I have built recommendation systems based on live and past user behavior...
Author
Pub. Date
©2011
Language
English
Description
"This Element is an excerpt from The Truth About What Customers Want (ISBN: 9780137142262), by Michael R. Solomon. How you and your customers are influenced by others (from celebrities to experts to groups) ... and what that means for marketing."--Resource description page.
Pub. Date
2020.
Language
English
Description
"Presented by Sylvia Tran, Data Scientist at Gracenote. User preferences and content similarity are both key to recommendation systems. While content similarity has been widely explored and utilized by many companies in the media & entertainment industries, it still remains relevant as the amount of data and metadata available continues to grow and change. This talk discusses some of the challenges of content similarity and explores a few different...
Pub. Date
2019.
Language
English
Description
"Presented by Anna Schneider, Data Science Manager at Stitch Fix. Classic recommender systems are great for answering the question 'what does a user want in general?'. However, they only get you partway to an answer to 'what does a user want right now?'. To close the gap, it helps to capture and act on real-time user intent. I'll share two examples of this paradigm, and the resulting changes to our algorithms and architectures at Stitch Fix."--Resource...
Author
Pub. Date
2010
Language
English
Description
"One of the virtues of the Web is its ability to facilitate customization. Web technology allows organizations to move beyond one-size-fits-all interfaces and products, allowing users to define and design their own experiences. Custom homepages and Web based design-it-yourself processes are numerous and users appreciate the concept of customized experiences"--Resource description page.
17) Wired for survival: the rational (and irrational) choices we make, from the gas pump to terrorism
Author
Pub. Date
©2009
Language
English
Author
Pub. Date
©2011
Language
English
Description
"Praise for the first edition: 'Peppers and Rogers do a beautiful job of integrating actionable frameworks, the thinking of other leaders in the field, and best practices from leading-edge companies.'--Dr. Hugh J. Watson, C. Herman and Mary Virginia Terry Chair of Business Administration, Terry College of Business, University of Georgia. 'Peppers and Rogers have been the vanguard for the developing field of customer relationship management, and in...
Author
Pub. Date
2014.
Language
English
Description
How do successful companies create products people can't put down? Why do some products capture widespread attention while others flop? What makes us engage with certain products out of sheer habit? Is there a pattern underlying how technologies hook us? Nir Eyal answers these questions (and many more) by explaining the Hook Model--a four-step process embedded into the products of many successful companies to subtly encourage customer behavior. Through...
Didn't find it?
Can't find what you are looking for? Try our Materials Request Service. Submit Request