Snowplow Customer Data Infrastructure (CDI)
Business Profile
Core Value Proposition
Snowplow Customer Data Infrastructure (CDI) provides real-time customer data infrastructure that securely collects, processes, and delivers event-level data to your cloud data platform, while enriching it with deep customer context for AI-powered applications.
Target Customer
Data teams and digital product/engineering teams building AI-powered applications and real-time customer experiences.
Key Differentiator
Composable, decoupled data pipeline architecture with built-in data governance and full transparency, enabling real-time activation and governance without black-box transformations; supports self-hosted deployment and open data flows.
Implementation Timeline
Not explicitly stated; marketing materials emphasize faster tracking implementation and rapid time to value.
Pain Points
- 1Data quality issues across the data lifecycle and the need for real-time governance.
- 2Latency in delivering data to warehouses and operational systems.
- 3Engineering complexity and slow time-to-value when modernizing analytics and CDPs.
Key Features
- 135+ trackers and 15+ enrichments for data collection and processing.
- 2Event Forwarding and real-time data routing to internal systems and external platforms.
- 3Reverse ETL and Signals with Profiles, Store, and Interventions for real-time personalization and AI agents.
- 4Data Product Studio for tracking implementation and data governance; define data products with ownership and structure.
- 5Unified event structure and real-time data delivery to warehouses, lakes, or streams; governance tools and data quality monitoring.
Target Customer Industries
Decision Makers
- 1Data Platform Lead
- 2Global VP of Data
- 3Product Analyst
- 4Senior Data Engineer
- 5Director of Data, Machine Learning & Platforms
- 6CTO
Client Results
- 13x more granular behavioral data
- 22x faster tracking implementation
- 399% reduction in data latency
- 4Higher ROI across digital channels
- 5Increased revenue with better data
- 6Enhanced data governance and transparency
Competitive Advantages
- 1Full Transparency. Zero Black Boxes. You can customize, audit, and govern every event to meet privacy requirements.
- 2Decoupled, composable architecture that separates collection, enrichment, and delivery from end tools.
- 3Real-time data delivery and activation across systems and platforms.
- 4Built-in data quality monitoring and governance across the data lifecycle.
- 5AI-ready outputs with modeling support (dbt models) for BI and AI use cases.
Key Benefits
Case Studies & Success Stories
How Burberry is increasing revenue with better data
Case study illustrating Burberry's revenue growth through improved data quality and governance with Snowplow.
Additional Product Information
Product Description
Real-time customer data infrastructure for collecting, validating, enriching, and delivering event-level data to cloud data platforms, with governance, data quality monitoring, and AI-ready capabilities.
Target Market
Digital-first companies seeking real-time customer data and AI-ready analytics across industries such as games, media, retail/ecommerce, software, and financial services.
Unique Value Proposition
A decoupled, governance-first data platform that delivers real-time, high-fidelity behavioral data with full transparency, enabling rapid activation and AI-ready insights without black-box transformations.
Technical Requirements
Self-hosted deployment option; supports Event Forwarding to Pub/Sub, Kinesis, Kafka, SQS, and HTTP endpoints; 35+ trackers; 15+ enrichments; integrates with dbt; supports real-time streaming and processing.
Pricing Model
Pricing not disclosed in the provided content; mentions Explore Pricing.
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