LG Electronics Applied LLMs
LLM email personalization
An email personalization engine built around 11 attitude-based audience segments.
Large language modelsAudience segmentationPersonalization
LLM email personalization
Audience attitudes
11 segments
Personalized copy
Pilot evaluation
From a business question to a working system.Workflow overview
- pilot conversion lift
- +58%
- copywriting time
- −75%
The problem
Email copy needed to reflect differences in customer attitudes while making the copywriting process more efficient.
What I built
Used large language models to personalize email content for 11 attitude-based segments.
Evaluated the approach in a pilot, tracking conversion, click-through rate, and copywriting time.
The outcome
The pilot increased conversion by 58% and click-through rate by 78%, while reducing copywriting time by 75%. These are pilot results.
A summary of the work described on my public profile.
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