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The revenue acceleration rules

The revenue acceleration rules : supercharge sales and marketing through artificial intelligence, predictive technologies, and account-based strategies

 John Wiley & Sons, 2018 ISBN: 9781119371953
 Hoboken, New Jersey : xii, 180 p. : ill. ; 24cm. English
Mô tả biểu ghi
ID:65333
DDC 658.1554
Tác giả CN Upadhyay, Shashi
Nhan đề The revenue acceleration rules : supercharge sales and marketing through artificial intelligence, predictive technologies, and account-based strategies / Shashi Upadhyay, Kent McCormick
Thông tin xuất bản Hoboken, New Jersey : John Wiley & Sons, 2018
Mô tả vật lý xii, 180 p. : ill. ; 24cm.
Phụ chú Sách quỹ Châu Á
Tóm tắt B2B is 45% of the economy, but no book has addressed just this area of B2B predictive marketing--all have looked more at the consumer end of the predictive space. This book will explore how using predictive marketing to support ABM initiatives in the B2B world can supercharge your demand waterfall and align marketing sales. Account-Based Marketing is a how-to book that uses examples and best practices from industry experts to show readers what they should be doing to implement predictive ABM to grow revenue
Thuật ngữ chủ đề Artificial intelligence
Thuật ngữ chủ đề Trí tuệ nhân tạo
Thuật ngữ chủ đề Industrial marketing
Từ khóa tự do Artificial intelligence
Từ khóa tự do Trí tuệ nhân tạo
Từ khóa tự do Industrial marketing
Tác giả(bs) CN McCormick, Kent
Địa chỉ 100TK_Tiếng Anh-AN(2): 000123823-4
Tệp tin điện tử http://lib.hanu.vn/kiposdata1/bookcover/anh/000123823thumbimage.jpg
MARC
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300[ ] |a xii, 180 p. : |b ill. ; |c 24cm.
500[ ] |a Sách quỹ Châu Á
520[ ] |a B2B is 45% of the economy, but no book has addressed just this area of B2B predictive marketing--all have looked more at the consumer end of the predictive space. This book will explore how using predictive marketing to support ABM initiatives in the B2B world can supercharge your demand waterfall and align marketing sales. Account-Based Marketing is a how-to book that uses examples and best practices from industry experts to show readers what they should be doing to implement predictive ABM to grow revenue
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650[0 0] |a Trí tuệ nhân tạo
650[0 0] |a Industrial marketing
653[0 ] |a Artificial intelligence
653[0 ] |a Trí tuệ nhân tạo
653[0 ] |a Industrial marketing
700[1 ] |a McCormick, Kent
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