The Customer
The customer was a fast-growing direct-to-consumer beauty brand with around 50 employees and a global customer base. Their lean marketing team wanted to leverage Braze to deliver personalized, cross-channel engagement—but lacked the expertise to set it up for long-term scale.
The Challenge
- Basic “batch-and-blast” campaigns with little personalization
- Risk of messy, unsustainable workflows if Braze wasn’t implemented correctly
- No clear data structure or naming conventions, making campaigns harder to manage
- Limited internal knowledge of predictive journeys and AI-driven optimization
The Solution
We delivered a smart, AI-first Braze implementation that set the brand up for scale and impact.
Cross-Channel Journeys with Predictive Triggers
- Designed customer journeys spanning email, push, and in-app messaging
- Built predictive flows: e.g., cart viewed → trigger push; purchase abandoned → trigger SMS; loyal customer → send loyalty reward
Clean Data Structures & Naming Conventions
- Established standardized event tracking, attributes, and segment structures
- Implemented clear naming conventions to avoid confusion and speed up campaign builds
AI-Powered Testing & Training
- Trained the marketing team to use Braze’s experimentation tools and AI testing features
- Enabled automatic subject line, send-time, and creative optimization
The Results
Within the first 90 days of going live on Braze, the customer achieved:
- 35% lift in repeat purchases, driven by predictive journeys and personalized flows
- 40% faster campaign build time, thanks to clean data structures and standardized workflows
- 20% increase in customer engagement rates across email and push notifications
- Scalable foundation for growth, allowing the lean team to launch campaigns with confidence