An AdTech Platform Scaled Reporting and Cut Data Cost by 70% with Snowflake
Industry
Media, AdTech
Overview
A U.S.-based leader in advertising effectiveness measurement, helping advertisers and agencies evaluate campaign performance through real-time, data-driven insights. Their enterprise clients run multi-million-dollar campaigns and depend on the platform to tell them what's working fast. As campaign volumes grew and client expectations shifted, the gap between what the platform could deliver and what the market demanded started to widen.
Challenge
The platform needed to move faster without breaking what enterprise clients were already relying on daily. Key objectives included:
- ETL pipelines had outgrown existing infrastructure, reporting was bottlenecked and new client onboarding was slowing.
- A fragmented data architecture across multiple sources was inflating warehouse costs and degrading query performance.
- Every feature release was a calculated risk, dashboards had to stay live and data clean, even mid-deployment.
- Leadership lacked visibility into delivery timelines, making roadmap and client commitments difficult to stand behind.
The Solution
Sigma Solve embedded a dedicated engineering team directly into the product development cycle, owning frontend, backend, and data engineering under one engagement.
- ETL pipelines were rebuilt on a scalable AWS architecture, absorbing growing data volumes without impacting reporting performance.
- 30+ TB of data was migrated to Snowflake, consolidating fragmented sources into a single unified platform, delivering sub-second query response times and elastic scalability without over-provisioning.
- AI-powered analytics were layered in to generate automated report summaries and actionable insights, reducing manual reporting overhead.
- Agile sprint delivery with weekly reporting via Asana and Slack replaced uncertainty with a predictable cadence across all workstreams.
- Phased rollouts paired with regression testing ensured every release reached production without touching live client workflows.
We were running 25 TB+ of media analytics data on a legacy cloud data warehouse with slow queries, rising costs, and no clear path to AI. Sigma Solve migrated the entire environment to Snowflake in under three months and delivered a 40% reduction in infrastructure costs. Queries that used to take minutes now run in seconds. What stood out wasn't just the cost savings. It was how they handled the complexity at that scale. They dug into the actual constraints, built custom validation to ensure data integrity, and optimized the architecture in ways we hadn't even thought to ask for. Sigma Solve didn't just migrate our data. They changed how we work with it.
Outcome
The platform moved from cautious releases to monthly feature shipping, with zero production incidents throughout. Data throughput climbed 68%, reporting landed 40% faster, and the Snowflake migration cut annual warehouse costs from $200K+ to approximately $50–60K. Clients got faster, deeper insights. Leadership got the confidence to make bolder commitments. What started as an infrastructure problem became a competitive advantage.