Key results
across Meta, Google, and Amazon Ads for data-driven decision-making
saved by automating campaign performance reporting
in ROAS with real-time budget tracking and reallocation
in forecast accuracy using in-house budget simulation models
About the Client
The client is a leading US-based digital marketing agency working with media, entertainment, and D2C brands. Managing over $50M in annual ad spend across Meta, Google, and Amazon Ads, they required a consolidated BI system to unify data, improve reporting turnaround, and support high-stakes media planning decisions.
Key Challenges
Disconnected datasets from Meta, Google, and Amazon made it difficult to compare and benchmark performance across platforms
Analysts spent significant time preparing client-facing reports, limiting time available for strategic insights
The absence of predictive models led to missed optimization opportunities and inefficient budget allocation
Our Approach
- Built a cloud-native infrastructure on Google Cloud Platform, with BigQuery as the central data warehouse
- Leveraged DataChannel to ingest, clean, and standardize advertising data across Meta, Google, and Amazon Ads
- Created real-time campaign dashboards in Looker, tailored for media planners, analysts, and CXOs
- Designed and deployed Python-based ML models to simulate ROAS outcomes, optimize spend, and guide strategic decisions
Implemented Solution
Centralized Data Infrastructure
- Connected Meta, Google, and Amazon Ads using DataChannel, ingesting campaign data into BigQuery
- Standardized metrics across platforms (Spend, Impressions, CPA, ROAS) for consistent reporting
- Built automated daily data pipelines with schema validation and QA checks
Advanced BI & Predictive Analytics
- Designed 10+ Looker dashboards covering:
- Channel-level and campaign-level performance
- ROAS trends, CPA benchmarks, and audience effectiveness
- Executive summaries and pacing insights for CXO reporting
- Embedded in-house forecasting models to:
- Predict ROAS by channel, campaign type, and time window
- Simulate budget reallocation scenarios to maximize returns
Operational & Strategic Impact
- Enabled campaign managers to act in near real-time, reallocating budgets across underperforming and high-performing channels
- Reduced manual reporting time, improving focus on strategic insights and client advisory
- Empowered the planning team with accurate weekly/monthly forecasts for spend, performance, and ROAS lift
Technologies Used
