How a US-Based AdTech Analytics Platform Delivered Sub-Second Insights and Cut Data Costs by 70% with Snowflake
Customer Background
A US-based AdTech and media analytics platform helps advertisers, agencies, and media buyers optimize ad placements across digital, CTV/OTT, and broadcast channels. The platform processes billions of impressions and provides minute-by-minute attribution and performance reporting.
As customer demand grew for faster insights and AI-driven recommendations, the company needed a modern analytics foundation to support real-time reporting, scalable AI capabilities, and cost-efficient data operations—without disrupting existing customers.
Industry
Challenges
The company faced high analytics infrastructure costs, slow reporting and query failures, inefficient customer data sharing, and a lack of AI-Driven insights
- High Analytics Infrastructure Costs: Managing more than 30 TB of data on a legacy data warehouse resulted in annual costs exceeding $200K, with limited flexibility and scalability.
- Slow Reporting and Query Failures: Dashboards took 3–5 minutes to load, and large campaign queries frequently timed out, delaying decision-making.
- Manual Report Development: Every new report required custom SQL tuning, forcing analysts to spend hours building and maintaining reports instead of delivering insights.
- Inefficient Customer Data Sharing: Exporting customer data involved restoring warehouse copies and using SFTP-based workflows, making sharing slow, expensive, and operationally complex.
- Lack of AI-Driven Insights: Traditional dashboards offered static views of performance, requiring advertisers to manually interpret data with no intelligent summaries or guidance.
The Solution
• Sigma Solve modernized the analytics stack by migrating 30+ TB of data to Snowflake, enabling high-performance, elastic analytics at scale.
• Consolidated multiple data sources into a unified Snowflake data platform, delivering sub-second query response times.
• Implemented AI-powered analytics to generate automated report summaries and actionable insights.
• Enabled the launch of a new AI-driven analytics and ad placement platform, delivering unified attribution, creative insights, and optimization recommendations.
• Leveraged Snowflake zero-copy cloning for instant Dev, UAT, and customer data environments—eliminating costly duplication.
• Simplified secure data sharing and offline access, removing manual SFTP workflows.
• Eliminated SQL deadlocks and query timeouts, allowing analysts to focus on insight generation instead of query tuning.
The Outcome
Dev, UAT, and export environments became instant and cost-free, accelerating innovation cycles. New report creation effort reduced from hours to minutes, enabling true self-service analytics. Advertisers gain faster and more accurate ROI visibility across channels. Agencies and media buyers can optimize campaigns in near real time. The AI-driven end-customer experience creates a clear competitive differentiation in a crowded AdTech market.
Business Impact
• Advertisers gain faster and more accurate ROI visibility across channels.
• Agencies and media buyers can optimize campaigns in near real time.
• The AI-driven end-customer experience creates a clear competitive differentiation in a crowded AdTech market.
Report load times reduced from 3–5 minutes to under 1 second.
Time to insights improved by 80–90%, shifting analysis from hours to instant responses.
SQL deadlocks and query timeouts reduced to zero.
Annual data warehouse costs reduced by ~70%, from $200K+ to approximately $50–60K.
Customer reporting engagement increased by 2–3x, driven by faster, AI-powered insights.
Client Testimonial
