Customer Lifecycle Marketing Resources

Optimizing Revenue in the Customer Lifecycle (887.09 KB)
This step-by-step guide explains how to use customer intelligence in your multi-channel marketing and apply it to each stage of the customer lifecycle.
The Marketing Lifecycle: Creating Engagement in Revenue Marketing [Infographic] (1.13 MB)
Extraprise reveals a sample marketing strategy process flow to show marketers how we build, execute, and measure a holistic, customer intelligence-based marketing strategy that maximizes revenue at every stage of the customer lifecycle.
How Real-time Customer Engagement and Big Data are Changing Marketing (421.12 KB)
Marketing is rapidly approaching to what marketers have often dreamed about – real-time 1:1 customer engagement. The entire customer experience is being optimized across channels, by message and offer, and by time. Now the customer experience can be more easily extended into a more efficient lifecycle marketing model.
Multi-channel Marketing and the Customer Lifecycle (494.28 KB)
Dive deeper into understanding the customer life cycle as the starting point to effective multi-channel marketing. Learn how marketers can evolve their multi-channel marketing programs to take advantage of optimizing revenue at the right time throughout the customer life cycle.
Big Data and Customer Lifecycle Marketing (42.36 KB)
Learn how Big Data helps to optimize revenue throughout the customer lifecycle.
Top 5 Tips to Better Segmentation: Segmentation within the Customer Lifecycle (279.62 KB)
Markets change constantly, and so do the customers within them. To create effective segmentation, marketers must recognize the need to change their marketing efforts to match the customer lifecycle.
Big Data and Multi-channel Marketing: Best Practices Roadmap to Success (279.62 KB)
Participants will learn how to bring data management and campaigns to drive 1:1 customer interactions, each step to build a marketing database of Big Data, including channels, marketing activity, buyer behavior, and purchase, and finally how to build customer intelligence into data and campaign strategies.