DATA-DRIVEN MARKETING TECHNIQUES

🎯 Understanding Customer Needs Through Data: 5 Powerful Marketing Analytics Techniques

In this presentation, we explore five essential data-driven methods that help businesses understand customer behavior, identify trends, and make smarter marketing decisions. These tools offer deep insights into how consumers think, feel, and act—empowering brands to personalize their approach and drive growth.

🔍 What You'll Learn:

Cluster Analysis – Segmenting customers based on shared characteristics to enable targeted marketing.

Conjoint Analysis – Identifying which product features matter most to customers.

Multidimensional Scaling (MDS) – Creating visual maps of customer preferences to compare brands or products.

Sentiment Analysis – Using Natural Language Processing (NLP) to analyze customer emotions from online reviews and comments.

Customer Lifetime Value (CLV) – Predicting a customer’s long-term value to optimize loyalty and resource allocation.

📊 Why It Matters:

Make informed marketing decisions

Boost customer satisfaction and retention

Optimize product development and service offerings

📈 Whether you're a student, marketer, or business professional, this video offers practical insights into how analytical tools can transform your understanding of customers.

💬 Leave a comment if you found the concepts useful or want to explore any of these methods in more depth!

#MarketingAnalytics #CustomerInsights #SentimentAnalysis #DataVisualization #CLV #MarketResearch #BusinessStrategy