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eCommons@AKU Theses & Dissertations 2024Customercentric data strategies to drive revenue growth. Maxwell OkeyoFollow this and additional works at: https://ecommons.aku.edu/theses_dissertations Part
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How to fill out customer-centric data strategies to

01
Identify key customer segments based on behavior and demographics.
02
Collect data through surveys, feedback forms, and interaction analytics.
03
Analyze customer data to understand needs, preferences, and pain points.
04
Develop customer personas to define target audiences.
05
Create a data governance framework to ensure data accuracy and compliance.
06
Implement technology solutions for data collection and management.
07
Regularly review and update data strategies based on evolving customer insights.

Who needs customer-centric data strategies to?

01
Businesses seeking to improve customer engagement and satisfaction.
02
Marketing teams aiming to tailor campaigns to specific audience segments.
03
Product development teams looking to align offerings with customer needs.
04
Customer support teams that need insights to enhance user experience.
05
Executives and leadership looking for data-driven decision making.
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Customer-centric data strategies involve gathering and analyzing data with a focus on understanding and meeting customer needs and preferences.
Businesses and organizations that handle customer data and aim to enhance customer experience are typically required to file customer-centric data strategies.
To fill out customer-centric data strategies, organizations should collect relevant customer data, define their objectives, analyze the data for insights, and document the strategies being implemented.
The purpose of customer-centric data strategies is to improve customer satisfaction and loyalty by using data to tailor offerings and enhance overall customer experience.
Reported information should include data collection methods, insights derived from data analysis, implemented strategies, and outcomes measured against customer satisfaction.
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