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Learn how to identify your ideal customer profile (ICP) using a combination of large language models, embedding models, and traditional machine learning techniques in this 26-minute tutorial. Discover the importance of understanding your target audience and follow a comprehensive five-step methodology that includes data preparation, feature engineering with AI tools, training machine learning models, analyzing results, and constructing a detailed customer profile. Explore practical applications through a real-world example of analyzing customer data for AI cohorts, with step-by-step guidance on implementing LLMs for data processing and traditional ML algorithms for pattern recognition. Access the complete implementation through the provided GitHub repository and gain insights into leveraging artificial intelligence for business strategy and customer segmentation.
Syllabus
Intro - 0:00
What is an ICP? - 0:17
Why should I care? - 1:23
Example: ICP Analysis with LLMs + ML - 2:41
Step 1: Data Prep - 4:47
Step 2: Feature Engineering - 5:52
Step 3: Train ML Models - 11:38
Step 4: Analyze Results - 14:48
Step 5: Constructing ICP - 20:24
Takeaways - 23:45
Taught by
Shaw Talebi