How StyleVerse Increased ROAS by 340% in 3 Months
A fashion e-commerce brand transformed their marketing strategy with AI-powered insights and cross-channel analytics.
The Challenge
StyleVerse, a fast-growing fashion e-commerce brand, was spending over $500,000 monthly on digital advertising across Meta, Google, and TikTok. Despite their investment, they struggled with:
- Fragmented data across 5+ platforms making it impossible to get a unified view
- Manual reporting consuming 20+ hours per week
- Inability to identify which campaigns truly drove revenue
- Slow reaction time to market changes and campaign performance issues
The Solution
Unified Data Connection
Connected Shopify, Meta Ads, Google Ads, and Google Analytics in under 10 minutes. All data synchronized automatically every hour.
AI-Powered Analysis
Our AI immediately identified that 40% of ad spend was going to campaigns with negative ROAS. It also discovered a high-performing audience segment that was under-invested.
Actionable Recommendations
Weekly AI recommendations helped the team reallocate budget, pause underperforming campaigns, and scale winners—all backed by cross-channel data.
“AI Innovative Labs completely transformed how we approach marketing analytics. We went from guessing to knowing exactly where every dollar should go. The AI recommendations alone paid for the platform 50x over.”
Results Timeline
Foundation
- Connected all data sources
- Built first unified dashboard
- Identified $80K in wasted ad spend
Optimization
- Reallocated budget based on AI insights
- ROAS improved by 180%
- Reduced reporting time by 70%
Scale
- Scaled winning campaigns 3x
- Achieved 340% ROAS improvement
- Launched new customer segments
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