AdTech Services

How I Help

Advertising companies lose millions to data they can't trust. I fix that — with pipeline architecture, identity engineering, and measurement systems built for the complexity of modern adtech.

Attribution & Measurement

Every campaign optimization decision your team makes depends on attribution data. When that data is wrong — miscounted conversions, broken lookback windows, mismatched event schemas — you're optimizing toward noise. I build the pipeline infrastructure that connects impressions to outcomes with precision you can bet revenue on.

  • Multi-touch and last-touch attribution pipeline design
  • Cross-platform conversion tracking and deduplication
  • Attribution window configuration and validation
  • Real-time and batch measurement pipelines (Airflow, dbt, Spark)
  • Discrepancy auditing between internal and partner data

Identity Resolution

Fragmented user data is the silent killer of advertising ROI. When your identity graph can't stitch a mobile click to a desktop conversion, you're flying blind — and overpaying for reach you already have. I engineer the matching and deduplication systems that give you a unified view of your audience.

  • Deterministic and probabilistic identity graph engineering
  • Match-rate optimization for Experian, LiveRamp, and first-party data
  • Cross-device and cross-platform user stitching
  • Privacy-compliant ID resolution (clean rooms, differential privacy)
  • Household and device graph construction

AdTech Platform Engineering

Programmatic advertising generates data at a scale that breaks conventional architectures. Bid requests, impression logs, click streams — billions of events per day that need to be ingested, processed, and made queryable in near real-time. I build the infrastructure that keeps up.

  • DSP/SSP data pipeline architecture and optimization
  • Real-time bidding (RTB) log processing with Kafka and Flink
  • Ad server log ingestion and normalization
  • Spend reconciliation and billing data pipelines
  • Data warehouse design for adtech-scale event data

CTV & Streaming Data

Connected TV promised measurability that linear TV never had — but the reality is messy. Fragmented device IDs, inconsistent VAST/VMAP signals, and walled-garden reporting make CTV measurement one of the hardest problems in adtech. I've built these systems at Disney scale.

  • CTV impression and completion event pipelines
  • Cross-platform reach and frequency measurement
  • VAST/VMAP log parsing and normalization
  • Streaming ad insertion (SSAI/CSAI) data engineering
  • Clean room integrations (Habu, Snowflake, LiveRamp)

Data Forensics

When your numbers don't add up — and nobody can explain why — that's when you call me. Data discrepancies in adtech aren't just annoying, they erode trust with partners, inflate costs, and lead to bad decisions. I trace issues to their root cause and build systems that prevent them from recurring.

  • Pipeline auditing and discrepancy root-cause analysis
  • Data quality monitoring and anomaly detection
  • Partner data reconciliation (supply-side vs. demand-side)
  • Fraud detection and invalid traffic (IVT) analysis
  • Historical data recovery and backfill engineering

Causal Experimentation

Correlation is cheap. Knowing that your campaign actually caused a lift in revenue — that's the hard part. I build experimentation infrastructure that isolates causal impact, so you can confidently scale what works and cut what doesn't.

  • Incrementality testing framework design and implementation
  • Geo-based and user-based holdout experiments
  • Media mix modeling (MMM) data pipelines
  • A/B test automation and statistical rigor tooling
  • Lift measurement and causal inference infrastructure

Ways to Work Together

Flexible engagement models for teams of every size.

Consulting services delivered through CopperWyre LLC.

How I Work

A straightforward process focused on delivering value fast.

Discover

Understand your data landscape, business goals, and pain points through deep-dive conversations.

Design

Architect a solution that fits your constraints — budget, timeline, team size, and existing infrastructure.

Build

Implement iteratively with clear milestones, documentation, and knowledge transfer along the way.

Support

Ongoing monitoring, optimization, and support to ensure your data systems keep performing.

Your Ad Spend Deserves Data You Can Trust

Let's figure out where your pipeline is leaking value — and fix it.