Strategies for personalization in the digital retail age
With consumer preferences constantly changing, consumer packaged goods (CPG) companies need to invest in modernizing their data collection and analysis solutions to stay ahead of the trends.
This SAS column discusses some of the key issues in consumer data collection and analysis and how a customer intelligence platform can improve your customer conversations.
What do consumers expect from brands today?
Today's consumers prefer to engage in conversations rather than being talked at. They want personalized marketing that acknowledges them as individuals rather than just part of a larger group. This shift emphasizes the importance of dialogue through channels like loyalty programs, social media, and direct-to-consumer efforts.
How can data enhance customer engagement?
Data is crucial for understanding consumer preferences and behaviors. By centralizing data from various channels, CPG organizations can create a unified view of their customers. This allows for more effective marketing strategies and personalized interactions, ultimately leading to increased customer satisfaction and loyalty.
What strategies can brands use to personalize their offerings?
Brands can personalize their offerings through various methods, such as AI-enabled product recommendations, predictive analytics, and customizable products. Additionally, engaging with consumers on social media and utilizing direct-to-consumer models can help brands gather valuable feedback and adapt their strategies to meet evolving consumer needs.

Strategies for personalization in the digital retail age
published by Verge Innovation
Verge Innovation anticipates change and solves IT challenges with the agility organizations need to thrive. With a proven track record of successful technology implementations, our seasoned consultants deliver results-driven solutions spanning cybersecurity training, managed services (MSP), cloud modernization, eLearning design, Salesforce solutions, and data analytics.
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Enhance business intelligence and decision-making with actionable data
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