At a glance
What this case covers
What shipped, where it runs, and the sources behind this case.
Source
Customer campaign source
Scope
Campaign delivered
Basis
Based on customer campaign materials and approved source documents.
Deployment setting
Campaign-scale Generative AI delivery with 300,000+ personalized videos.
Deployment setting
Campaign-scale personalized video generation workflow with controlled inputs and templated outputs.
Not public
Campaign assets, delivery mechanics, and infrastructure details remain private.
Public references
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Overview
Vinasoy wanted a Tet campaign that felt personal instead of generic. Rather than publishing another seasonal brand greeting, the team wanted to let users send a message that felt like it came from them and was still highly shareable.
Pixel ML built a 1:1 AI video flow that let users write a New Year wish, choose a celebrity-style delivery option, and receive a personalized video greeting they could share digitally.
Challenges
- Seasonal marketing saturation: Tet campaigns compete for attention in a very crowded window.
- Weak personalization: Name-only personalization is easy to ignore and rarely drives sharing.
- Operational scale: The campaign needed to generate high volumes of individualized outputs without manual production per user.
- CRM value: The experience needed to do more than entertain; it had to create reusable engagement value.
Solution
1:1 AI Greeting Generation
Pixel ML designed a personalized AI video generation flow where each user could:
- write a New Year wish
- select a celebrity-style delivery option
- receive a personalized digital greeting ready to share
The system was built around participation and shareability, turning a passive campaign into an interactive experience.
Campaign Design Principles
The campaign used controlled personalization rather than open-ended generation. It focused on a brand-safe experience driven by each participant's own message.
CRM-Aligned Engagement
The campaign was also designed to create repeatable engagement value through CRM follow-up after the initial activation.
Results
- 300,000+ personalized AI video greetings delivered
- High-share mechanic built around user-written wishes rather than generic copy
- Campaign-level CRM value through captured user engagement and repeatable follow-up potential
Why It Matters
This case shows how Pixel ML can combine generative media, personalization, and campaign-scale execution into a consumer experience that feels personal while still being operationally scalable.
Technology Stack
| Category | Technologies |
|---|---|
| AI/Media | Personalized video generation workflow |
| Experience | 1:1 campaign interaction flow |
| Delivery | Digital asset generation and sharing |
| Business Layer | CRM-aligned engagement design |
