Generative AI Campaign Personalization: boAt Lyric Case Study
A Women's Day campaign that turned personalization into respectful, shareable storytelling. Users created custom song lyrics for women in their lives.
boAt wanted a Women's Day campaign that felt personal, shareable, and respectful rather than generic. MythyaVerse and Altrd built an AI lyric generation microsite where users could create customized lyrics for women in their lives. The system accepted names, personal messages, and language choices, then generated shareable visual outputs. A guardrail layer detected and rewrote objectifying or inappropriate inputs while preserving the intended emotional message. The campaign showed how generative AI can support brand engagement when personalization, moderation, and shareability are designed together.
Business Impact
The campaign created a more personal participation loop for users while helping the brand maintain a respectful tone. The automated pipeline let users create and share content without manual moderation for each entry.
Overview
boAt wanted to create a Women's Day campaign focused on meaningful engagement rather than generic messaging. The goal was to let users create and share personalized song lyrics for women in their lives while ensuring the content remained respectful, graceful, and aligned with the values of the occasion.
Problem
The campaign needed to personalize lyrical content at scale while avoiding language that objectified women or weakened the message of the occasion.
Constraints
- Generate emotionally relevant lyrics from minimal user input.
- Support multiple languages for broader campaign participation.
- Detect and gracefully rewrite problematic or objectifying content.
- Render outputs in a format users could share quickly on social platforms.
Solution Architecture
- A campaign microsite collects dedication details, custom messages, and language preference.
- A controlled generation pipeline creates personalized lyrics with brand and safety guardrails.
- A corrective layer rewrites unsuitable input while keeping the user's intent.
- Visual rendering turns generated lyrics into shareable campaign assets.
The Challenge
Music and lyrics are widely used in social sharing, but many popular songs contain language that objectifies women. boAt wanted a campaign that allowed users to express appreciation without reinforcing stereotypes or inappropriate language. Key challenges included:
- Creating deeply personalized content for a broad audience
- Preventing objectifying or inappropriate language
- Respectfully correcting problematic lyric inputs
- Ensuring outputs felt emotionally authentic, not generic
- Making the content instantly shareable on social platforms
- Running the campaign fully automated at scale
Objectives
- Drive high engagement through personalization
- Enable users to create custom song lyrics for women in their lives
- Ensure respectful, non-objectifying language
- Gracefully rewrite problematic lyric inputs when required
- Support multiple languages
- Deliver a seamless, shareable campaign experience
Our Approach
MythyaVerse designed and implemented an end-to-end generative AI campaign built around controlled creativity and strong brand guardrails. Users entered the name of the person they wanted to dedicate the song to, added a custom message, and selected a preferred language. A key innovation was the corrective generation layer -if users entered lyrics that objectified women, the system gracefully rewrote the content while preserving emotional intent.
Solution Delivered
- Personalized Lyric Generation Engine -AI-driven generation of custom song lyrics based on user inputs.
- Respect and Safety Guardrails -Built-in logic to detect and gracefully rewrite objectifying or inappropriate lyrics.
- Multilingual Support -Lyrics generated in multiple languages based on user preference.
- Shareable Visual Outputs -Lyrics rendered as visually appealing images optimized for social sharing.
- Campaign Microsite -A lightweight, responsive web experience designed for fast participation.
- Fully Automated Pipeline -End-to-end automation with no manual intervention required.
Technologies Used
Next.js
React
Node.js
OpenAIRelated MythyaVerse Services
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