Customer Science Theater 3000
Summary
Customer science is the fusion of technology, behavioral science, and data.- - Customer science is an evolving concept that can lead to customer-driven growth.
- - According to Colin Shaw, customer science integrates technology, AI, and data for a significant impact.
- - Many organizations lack rigor and in-depth understanding of customers and their experiences.
- - Understanding customer behavior at emotional, subconscious, and psychological levels is essential for interpreting data and training AI.
- - Data collection is the first step in customer science, focusing on customer behavior analysis.
- - Customer science involves segmentation by customer habits, hobbies, values, and spending amounts for powerful insights.
- - Utilize customer insights like purchase history and demographics to understand target audience
- - Implement data to personalize marketing, optimize operations, and improve loyalty and retention
- - Use analytics tools like Google Analytics for valuable insights from website and call center data.
- - Utilize AI to analyze call transcripts and customer feedback efficiently for improved retention strategies.
- - Consolidate and analyze Google and Yelp reviews for insights
- - Act on customer feedback trends to enhance customer experience and address any issues
- - Smaller customer bases make it harder to gather sufficient data and develop robust customer profiles.
- - Investing in up-to-date technology is crucial for productivity and competitiveness.
- - Consider opting for more human approach with Automation in the background.
- - Utilize customer science for future of customer experience and take actionable steps based on data analysis.
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