Project: Return on Ad Spend Maximization for “E-commerce Apparel, NY”
Focus: Implementing smart bidding strategies and ad scheduling to capture peak revenue hours across major platforms. KPI Achieved: Increased overall ROAS by 35% across Google and Meta. Technical Insight: Used predictive audience signals and hour-of-day bidding modifiers based on geo-specific purchase data within the US Northeast region, shifting budget fluidly to maximize high-conversion moments.
Project: Cost Per Lead Efficiency for “B2B SaaS Provider, Texas”
Focus: Rigorous keyword and placement exclusion to filter out low-quality leads and focus spend on high-intent buyer segments. KPI Achieved: Reduced Cost Per Qualified Lead (CPQL) by 48%. Technical Insight: Conducted detailed search query analysis to build negative keyword lists and used demographic filters to prioritize high-level decision-makers, ensuring efficient spend allocation in the competitive US B2B market.
Project: Cross-Channel Budget Allocation for “National Insurance Brokerage”
Focus: Implementing a holistic system to shift budget dynamically between paid search, display, and social media based on real-time performance. KPI Achieved: 20% growth in budget efficiency through fluid reallocation during high-demand periods. Technical Insight: Used custom attribution models that provided fractional credit across multiple touchpoints, enabling automated budget shifts toward the channels (e.g., Bing, Facebook) yielding the highest incremental return per US region.
Project: Incrementality Testing for “Subscription Box Service, West Coast”
Focus: Designing lift experiments to measure the true causal impact of advertising spend versus organic demand. KPI Achieved: Confirmed 18% of spend was truly incremental, allowing reallocation of non-incremental spend to scale. Technical Insight: Used geographic holdout groups and randomized control trials (RCTs) across defined US regions to isolate and prove the exact value contributed by each advertising channel, optimizing for net new subscriber volume.
Project: Fraud Prevention & Spend Cleanse for “High-Volume Lead Gen”
Focus: Identifying and eliminating invalid traffic and click fraud across display and search networks. KPI Achieved: Recovered 10% of monthly ad budget previously lost to fraudulent clicks. Technical Insight: Integrated third-party click verification tools and enforced strict IP exclusion lists and bot filtering across all campaigns, ensuring budget was reserved only for legitimate human prospects searching for services in the US.