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predictive content

Results 1 - 6 of 6Sort Results By: Published Date | Title | Company Name
Published By: Akamai     Published Date: Mar 08, 2017
Akamai’s Predictive Content Delivery (PCD) technology was developed to help satisfy the growing demand of mobile video. It is designed to optimize the delivery of data-heavy video traffic terminating on mobile devices and provide mobile customers with a video service that exceeds their expectations in the form of high-quality, always-available video with instant startup. Read on to find out more.
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content, predictive content delivery, pcd, video, traffic, mobile video
    
Akamai
Published By: Oracle Marketing Cloud     Published Date: Oct 05, 2017
Marketing automation is quickly becoming a competitive necessity for most organizations. According to a recent Demand Gen Report, 42% of b2b marketers identified marketing automation as the tool they plan to test or deploy in 2016—beyond predictive analysis, account-based marketing, lead nurturing, and attribution modeling. Download this white paper to discover how to use marketing automation to attract, engage, and convert buyers across all marketing channels by streamlining workflow, monitoring social, and managing content.
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Oracle Marketing Cloud
Published By: IBM     Published Date: Jul 28, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting.
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ibm, commerce, analytics, business insight, business analytics, business advisor, commerce data, predictive analytics, enterprise applications
    
IBM
Published By: Mintigo     Published Date: Sep 05, 2018
Creating a data-driven, intelligent sales and marketing system is both today’s challenge and tomorrow’s imperative. Marketers can no longer live by “I think, I feel” and sales can no longer manage by “gut instinct.” Data is the new power currency in sales and marketing, and this is especially true if you want to succeed in an account-based marketing approach. Begin with the end in mind, use data and predictive intelligence to discover and target accounts and decision makers, create targeted content, select channels, deliver an omni-channel experience and measure results. This ebook will cover seven steps that every account-based marketer and seller should follow to create a successful process for ABM.
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Mintigo
Published By: IBM     Published Date: Sep 08, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting
Tags : 
ibm, ecommerce, b2c, b2c ecommerce, commerce, data, business advisor, enterprise applications
    
IBM
Published By: Boomtrain     Published Date: Mar 29, 2016
Learn how to send exceptionally relevant emails and boost engagement with the most powerful technology for email marketers.
Tags : 
machine learning for marketers, marketing automation, email marketing, content analytics, content personalization, email personalization, dynamic email content, predictive content, predictive marketing, contextual marketing, content management
    
Boomtrain
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