Snowplow Data Model Packs are customizable, production-ready data models designed to transform raw behavioral event data into structured, analytics-ready tables. Built on dbt and deployed in the customer's cloud data environment, these models automate complex data preparation tasks such as deduplication, identity stitching, and sessionization. They provide a foundation for advanced analytics, AI, and real-time dashboards by standardizing data structures for user behavior, sessions, pageviews, and ecommerce metrics. The models are extensible, allowing organizations to tailor them to specific business requirements and digital touchpoints, and include specialized packs for ecommerce analytics.

Key Features

Production-ready dbt models Automate transformation of raw data into structured tables.

• Built on dbt for robust, scalable data modeling.
• Handles deduplication, identity stitching, and sessionization.

Customizable and extensible Adapt models to unique business requirements.

• Extend base models for industry- or business-specific metrics.
• Integrate with custom events and digital touchpoints.

Real-time analytics support Enable fast, actionable insights.

• Power real-time dashboards for user and ecommerce analytics.
• Support incremental processing for efficiency and cost savings.

E-commerce analytics pack Specialized models for e-commerce performance.

• Standardized tables for carts, products, and transactions.
• Analyze revenue, purchase patterns, and checkout behavior in real time.

Consistent measurement Drive data consistency across channels.

• Standardized data structures for advanced analytics and AI.
• Reduce dependency on third-party analytics tools.

Benefits

Accelerated time-to-insight Shorten the path from raw data to actionable analytics.

• Automated data preparation eliminates bottlenecks.
• Ready-to-use dashboards and models speed up analysis.

Cost and performance optimization Efficient processing and resource use.

• Incremental data transformation reduces compute costs.
• Scalable models grow with data volume and business needs.

Advanced analytics and AI readiness Lay the groundwork for sophisticated analysis.

• Structured, high-quality data supports AI and BI initiatives.
• Enables customer journey, marketing attribution, and funnel analysis.