2.7X
Increase in Qualified Leads via AI-Powered Paid Media Arbitrage
How an enterprise fintech firm scaled lead acquisition and reduced CAC using AI-optimized paid media strategy
The challenge
Despite having a substantial advertising budget, Motilal Oswal’s paid media campaigns were underperforming. Cost per acquisition (CPA) was rising, keyword targeting lacked precision, and their internal teams were unable to identify performance gaps fast enough. They needed a scalable solution to improve ROI without expanding their media spend.
Industry:
Enterprise Fintech (Wealth Management & Brokerage Services)
Our Approach:
AI-Powered Paid Media Arbitrage
We leveraged machine learning models to uncover undervalued ad inventory and built an AI-optimized campaign strategy to reduce CAC and maximize lead volume.
- Analyzed historical ad data to identify underperforming channels
- Used AI models to predict ad placements with lower competition and higher conversion probability
- Clustered keywords using AI to target high-value investor intent queries
- Deployed real-time bid adjustments based on user behavior signals
- A/B tested 20+ variations of value-prop driven headlines and CTA copy
- Used generative AI tools to localize creatives across 10 metro regions
- Implemented AI-triggered retargeting for dropped-off leads
- Built lookalike audiences from top-converting segments to expand reach efficiently
Services Used:
AI Optimized Paid Media Arbitrage, AI Enhanced Account Based Marketing, Predictive Churn Prevention
The results
Increase in Qualified Lead Volume within 90 days
Reduction in Cost Per Acquisition (CPA) across Google and Meta platforms
Higher Engagement with retargeted ad sets vs. generic campaigns
