Daniel
Westgate

Opportunity
Each brand operated with its own email and CRM approach, leading to:

• Inconsistent customer experiences

• Redundant creative production

• Limited ability to scale personalization across brands

There was no unified system to support multiple brands with shared infrastructure.

Insight
While each brand had a distinct identity, customer needs were often similar:

• Meal inspiration

• Health-conscious choices

• Everyday usage moments

The opportunity wasn’t just to improve individual campaigns—but to create a shared system that could flex across brand voices and audiences.

System
Developed a modular, multi-brand CRM framework that balanced consistency with brand differentiation.

Key components:
1. Shared Design System Across Brands

• Built a unified template structure adaptable to each brand

• Maintained efficiency without sacrificing brand identity

2. Modular Content Architecture

• Reusable content blocks for recipes, product highlights, and offers

• Enabled rapid deployment across multiple brands and campaigns

3. Brand Voice Layering

• Defined how each brand expresses tone, messaging, and personality within the same system

• Ensured distinct identities within a shared framework

4. Lifecycle & Occasion-Based Messaging

• Structured communications around real usage moments (cooking, family meals, health goals)

• Shifted from campaign bursts to ongoing engagement

5. Personalization Framework

• Designed for segmentation across behaviors, preferences, and brand affinities

• Allowed cross-brand learning and optimization over time

6. Mobile-First & Utility-Driven Design

• Optimized for quick consumption and real-world use

• Focused on inspiration + utility (recipes, tips, product use cases)

 

Scalability & Operational Impact

• Reduced duplication of effort across brand teams

• Increased speed of production and deployment

• Enabled a centralized system with decentralized brand expression

• Created a foundation for scaling content across regions and campaigns

 

AI Readiness
The system can be structured to support:

• AI-assisted content generation across multiple brands

• Dynamic personalization at scale

• Automated content assembly based on user behavior and preferences

 

Outcome

• Unified multiple brands under a single CRM system without losing identity

• Increased efficiency and consistency across communications

• Established a repeatable, scalable model for multi-brand engagement

• Shifted CRM from executional output to a strategic growth channel

 

If Expanded Today

• Cross-brand personalization using shared customer data

• AI-driven content variation tailored to dietary preferences and behavior

• Predictive lifecycle messaging based on purchase and engagement patterns