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Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.
Eliminate data preparation bottlenecks with production-ready models that transform raw events into structured insights, powering real-time dashboards and analytics.
Deploy data models that run in your cloud data destination and can be customized to your needs, from user-level analytics to ecommerce-specific metrics like cart and product performance.
Drive consistent measurement across your digital touchpoints with extensible data models that scale efficiently, reducing processing costs for advanced analytics and AI.
Transform raw behavioral data into analytics-ready insights through sophisticated data models and dashboards. Built on dbt, the Digital Analytics data models handle complex processing like deduplication, identity stitching, sessionalization, while enabling organizations to efficiently analyze customer behavior across channels.
Accelerate time-to-insight with advanced, customizable dbt data models that automatically structure event-level data into AI and BI-ready tables for user behavior, sessions, and pageviews – providing a foundation for advanced analytics and AI
Optimize performance and costs through incremental processing that efficiently transforms raw data into standardized formats, while enabling custom extensions to meet unique business requirements
Build comprehensive analytics across customer engagement, marketing attribution, funnel analysis, and media consumption with purpose-built dashboards
Extend the Snowplow Digital Analytics Data Model Pack with a specialized ecommerce data model that transform raw behavioral data into comprehensive shopping insights. Built on automated data models, organizations can analyze revenue, purchase patterns, and checkout behavior in real-time from within their own data infrastructure, turning first-party data into structured, AI-ready insights for optimizing ecommerce performance.
Accelerate insights with the ecommerce dbt model that automatically structure raw event data into standardized tables for carts, products, and transactions, while enabling custom extensions for unique business needs
Monitor ecommerce performance through purpose-built dashboards that provide real-time visibility into buying patterns, monetization metrics, and checkout optimization
Drive advanced analysis by leveraging consistent data structures that eliminate third-party tool dependencies and provide a foundation for advanced analytics and AI
Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.