CUSTOMER ANALYTICS

Drive customer engagement, reduce attrition, and uncover business insights to propel growth

OVERVIEW

Unlock the power of data to better understand customers, learn from their behaviors, and deliver relevant interactions.

By leveraging all available data across enterprise systems and multiple online touchpoints, you can generate a comprehensive view of customers that can strategically drive business growth This unified approach helps you better understand customers, which strengthens personalized/relevancy marketing, reduces customer churn, better manages the customer experience, and improves marketing automation.

Key use cases

Personalized & Relevancy Marketing
Churn prevention & customer retention
Customer Experience Management
Marketing Automation

Personalized & relevancy marketing

Customer experience expectations are converging on the brand, not the channel. A data-driven approach to marketing improves relevancy, enables personalization, and drives engagement, which can lead to stronger loyalty and increased share of wallet. Organizations are struggling to deliver the right offer to the right customer via the right channel at the right time, however. Harness the power of data to develop a comprehensive view of customers and drive more meaningful interactions.

Using AI & ML to engage customers and drive growth

Churn prevention & customer retention

Understanding customers and their interactions across multiple channels is key to increasing loyalty and reducing customer churn. Many organizations struggle to gather holistic views of their customers, however. Because data is located across multiple fragmented applications, there are delays ingesting and processing customer data and a lack of real-time customer analytics. Break down data silos and generate holistic views of your customers by combining data with the power of machine learning and analytics to accurately forecast the customer journey and develop strategies to actively prevent churn.

Using big data to drive customer 360

Customer experience management

Drive customer satisfaction and preserve share of wallet by applying real-time data analytics to systems that engage customers and gain visibility into the customer experience. Automate your most valuable touchpoints and create relevant, engaging interactions with your customers by identifying, analyzing, and quickly responding to potential quality of service issues.

Six strategies for advancing customer knowledge with big data analytics

Marketing automation

Automate marketing and customer management tasks across multiple online channels to glean insights that inform customer segmentation, data integration, and campaign optimization. The combination of task automation and self-service BI creates a formidable marketing platform that uses data to boost efficiency, engagement, and return on investment.

How big data can help marketers improve customer relationships