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Composable Analytics

Composable Analytics

Build flexible, scalable analytics workflows using trusted, first-party behavioral data—on your terms
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Table of contents

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Introduction

Legacy analytics platforms were built for a different era: static dashboards, black-box metrics, and rigid schemas. Today, data-driven teams want more than pre-built templates—they want the power to define their own metrics, design their own workflows, and adapt to rapidly changing business questions.

Composable analytics offers an alternative. Instead of relying on monolithic platforms, teams assemble modular components—collection, transformation, modeling, and visualization—to create analytics stacks that reflect how their business actually works.

Snowplow provides the behavioral data foundation for this modern approach. Our Customer Data Infrastructure (CDI) collects, enriches, and delivers high-quality, structured event data into your warehouse, lake, or stream—ready for analytics, AI, experimentation, and more.

Why Composable Analytics Matters

Business Impact

With data now central to every team’s decisions, organizations can’t afford brittle tools or inflexible schemas. Composable analytics unlocks speed, ownership, and adaptability—at scale.

Key Business Benefits

  • Own Your Metrics
    Define business KPIs within your data models—not buried in SaaS dashboards.
  • Reduce Lock-In
    Swap BI tools, warehouses, or transformation layers as your needs evolve.
  • Improve Trust & Governance
    Use a single source of truth with structured, version-controlled data.
  • Move Faster
    Empower analysts, PMs, and marketers with agile workflows that reflect real business needs.

Composable Analytics Use Cases

Teams across industries are moving from packaged tools to composable stacks to better understand customers, journeys, and performance.

By Use Case Type

Use Case Description Key Outcomes
Customer Journey Analytics Visualize multi-touch journeys and identify friction Improved onboarding, higher conversion
Product Analytics Measure adoption, feature usage, and retention Informed roadmap decisions
Attribution Modeling Customize channel weighting, influence, and conversions Smarter marketing spend
Cohorting & Segmentation Define behavioral-based audiences for analysis and activation Better targeting, lifecycle insight
Experiment Analysis Run lift tests and track experiment impact Optimized decision-making loops

By Industry

Industry Example Applications
Ecommerce Conversion funnels, recommendation performance, RFM analysis
SaaS Onboarding journeys, feature adoption tracking, NPS impact
Media & Content Viewer engagement, churn prediction, binge behavior
Finance Funnel diagnostics, fraud pattern analysis, product engagement
Gaming Player retention, in-game behavior analysis, level drop-offs

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Challenges We Solve

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Tool Lock-In

Packaged tools restrict metric flexibility and event definitions
Difficult to migrate or evolve logic over time

Siloed Data & Logic

Event collection, modeling, and reporting are disconnected
Teams duplicate effort across tools and have no central source of truth

“Last-Mile” Bottlenecks

Even with good pipelines, teams often struggle to get insights into the hands of decision-makers
Engineers maintain dashboards or run ad hoc queries for business teams

The Snowplow Approach

Snowplow’s Customer Data Infrastructure (CDI) solves the hardest part of analytics: capturing high-quality behavioral data, validating it in real time, and making it warehouse- or stream-ready for modeling and analysis.

From there, teams can layer on transformation, BI, experimentation, or activation tools based on their stack maturity and business needs.

Snowplow CDI: The Foundation

  • Event Collection – SDKs for web, mobile, and server, with 35+ sources supported
  • Enrichment & Validation – Add geo, device, session, and context to every event
  • Real-Time & Batch Delivery – Stream to Kafka/Kinesis or load directly into Snowflake, Databricks, BigQuery, or Redshift
  • Modeling Accelerators – Open-source dbt models for ecommerce, digital analytics, attribution, and more

Blueprints Built on Snowplow CDI

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#1: Warehouse-Native Analytics

Combines structured BI and low-code exploration by modeling Snowplow data in your warehouse or lakehouse. Powered by dbt, Sigma, Kubit, Mitzu and other warehouse-oriented tools, this pattern supports governed dashboards and self-serve access—no ingestion delays, no duplicated pipelines.

Best for teams centralizing analytics on Snowflake, Databricks, or BigQuery while enabling fast, cross-functional insights.

#2: Natural Language Agent Interface

Use modeled behavioral data as the foundation for a conversational analytics layer. With tools like Databricks AI/BI Genie or Snowflake Cortex Analyst, users can ask questions in natural language and get structured responses grounded in trusted warehouse data.

Ideal for product, growth, or executive teams that want fast answers—without writing SQL or relying on analysts.

#3: Direct Tool Sync

Sync modeled Snowplow events back into tools like Mixpanel, PostHog, or Amplitude using Event Forwarding or reverse ETL. Maintain one schema and data model across warehouse + SaaS tools. Let teams keep using familiar interfaces without sacrificing data quality. Perfect for hybrid stacks that mix composable pipelines with embedded SaaS tooling.

Replace fragile SDK tracking with data you already own—while letting teams keep the tools they love.

Blueprint Comparison Table

Blueprint Tools/Partners Ideal For Engineering Overhead Flexibility Time-to-Insight
Warehouse-Native Analytics Snowflake, Databricks, dbt, Looker, Sigma, Hex Product, data, and analytics teams Medium High Fast
Natural Language Agent Interface Databricks (Genie), Snowflake (Cortex), LangChain, dbt Non-technical users, execs, embedded teams Low Moderate Instant
Direct Tool Sync Mixpanel, Amplitude, PostHog, Hightouch, Census Teams using SaaS interfaces for product or marketing analytics Medium High Fast

Summary

Composable analytics is not just a trend—it’s the future of how modern organizations generate insights.

With Snowplow at the foundation, you can break free from rigid tools, govern your metrics and events at the source, and empower every team—from data engineers to product managers—with flexible, trustworthy behavioral data.

Whether you're modeling within Snowflake, exploring in Kubit, syncing into Mixpanel, or reporting with Sigma, Snowplow gives you the power to build your analytics, your way.

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