Case Study
Accelerating Growth Through AI-Powered Marketing
Client Case Study
A direct-to-consumer (DTC) brand in the health and wellness space was struggling to scale beyond $2M in annual revenue with traditional marketing approaches.
The Challenge
- •Rising Acquisition Costs: Customer acquisition costs had increased by 40% in 12 months on major platforms.
- •Manual Campaign Management: Marketing team was spending 30+ hours weekly on manual campaign adjustments.
- •Limited Customer Insights: Lack of clear understanding of highest-value customer segments and behaviors.
Our Solution
Phase 1: Data Foundation
- •
Implemented comprehensive tracking across all customer touchpoints.
- •
Developed customer segmentation model based on purchase behavior and lifetime value.
- •
Created attribution model accounting for multi-touch customer journeys.
Phase 2: AI-Powered Advertising
- •
Deployed machine learning algorithms to optimize ad spend across platforms.
- •
Created dynamic creative testing framework with automated performance analysis.
- •
Implemented predictive bidding based on conversion probability and customer value.
Phase 3: Scaling & Optimization
- •
Expanded to new advertising channels with automated budget allocation.
- •
Implemented automated audience creation based on high-performing customer segments.
- •
Developed custom reporting dashboard for real-time performance monitoring.
The Results
400%
Revenue Growth
Scaled annual revenue from $2M to $8M within 9 months
32%
CAC Reduction
Reduced customer acquisition costs by 32% while scaling spend by 250%
85%
Time Savings
Reduced campaign management time by 85% through automation
3.8x
ROAS Improvement
Increased return on ad spend from 2.1x to 3.8x across all channels