AI Engineer for AI-Based Ad Targeting & Performance Marketing

This AI Engineer specializes in AI-powered ad targeting and performance marketing, leveraging machine learning to maximize ad ROI. With experience in predictive analytics, audience segmentation, and automated bidding, they develop systems that boost conversion rates, lower ad costs, and enhance personalization. Whether optimizing Facebook, Google, or programmatic ads, they deliver high-impact AI solutions that drive measurable results.

• AI-Powered Ad Budget Optimizer
  Developed an AI-based budget optimization system that dynamically adjusts ad spend across multiple channels based on real-time performance data. The system continuously analyzes ad engagement, conversion rates, and cost-per-click (CPC) to allocate the budget more effectively. This led to a 30% reduction in wasted ad spend while increasing conversions by 25%. The solution was deployed for a leading e-commerce brand, allowing them to scale their advertising campaigns without overspending.
  
  Personalized Ad Targeting Engine Using AI
  Built a machine learning-powered audience segmentation model that dynamically groups users based on their behavior, demographics, and past interactions with ads. By using AI-driven personalization, the system predicts which ad variations will resonate most with different audience segments, leading to a 40% uplift in click-through rates (CTR) and a significant reduction in cost-per-acquisition (CPA). This solution was implemented for a digital marketing agency managing multi-million-dollar ad accounts.
  
  Predictive Bidding AI for Google Ads & Programmatic Platforms
  Designed an automated bidding system that uses predictive analytics to adjust bids based on user intent, competitor activity, and real-time ad performance. By leveraging AI, the system predicts the likelihood of a user converting and adjusts bids accordingly. This resulted in a 3x increase in return on ad spend (ROAS) for a SaaS startup looking to scale its paid marketing campaigns.
  
  AI-Driven Creative Optimization for Digital Ads
  Developed an AI system that continuously tests and optimizes ad creatives, headlines, and copy variations to maximize engagement and conversions. The AI analyzes performance metrics such as engagement rates, video completion rates, and bounce rates, then selects the best-performing combinations automatically. This approach helped a DTC (Direct-to-Consumer) brand achieve a 50% increase in ad engagement while reducing the time spent on manual A/B testing.
  
  Marketing Attribution Model Using AI
  Created a multi-touch attribution model that uses AI to determine which ads contribute most to a sale. Unlike traditional last-click attribution models, this AI-powered solution assigns weighted credit to each touchpoint in the customer journey, providing more accurate insights into ad performance. By implementing this model, a global e-commerce retailer reduced wasted ad spend by 20% and gained a clearer understanding of their customer acquisition funnel.