Viayze: AI-Personalized Email Marketing
Most email marketing platforms give you templates and send buttons. The personalization is manual: someone on the team segments the list, writes variants, sets up the logic. At scale, that is hours of work per campaign that produces marginal improvement over a well-written broadcast.
Viayze was built to automate that work. The platform uses AI to personalize email content at the individual recipient level, adapting tone, content emphasis, and call-to-action based on behavioral data, without requiring a human to write a variant for every segment.
What We Built
AI Personalization Engine
- Recipient-level content adaptation based on past engagement and behavioral signals
- Dynamic content blocks that adjust based on audience attributes
- Context-aware subject line generation
- Tone and emphasis variation by audience segment, applied automatically
Campaign Management
- Campaign builder with AI-assisted content generation
- A/B test configuration with automated winner selection
- Scheduling with send-time optimization per recipient
- Performance tracking tied to individual campaign decisions
Lead Generation & Nurture
- Behavior-triggered sequences: messages sent when recipients signal readiness
- List segmentation based on engagement history, not just demographics
- Re-engagement workflows for inactive subscribers
- Attribution reporting that connected email activity to pipeline outcomes
The Technical Architecture
Personalization at the email level requires running AI inference per recipient, not per campaign. At volume, that is not a prompt engineering problem; it is an infrastructure problem. We built a batched inference pipeline that processed recipient data, generated personalized content variations, and assembled final emails asynchronously, so campaign sends were not blocked by generation time.
The result was full personalization with send speeds comparable to standard broadcast systems.
My Role
- Led product design and AI integration from concept to production
- Designed the campaign workflow and recipient personalization flows
- Architected the AI personalization pipeline and batched inference system
- Built the performance reporting and attribution layer
- Managed deployment and scaling configuration