We've built a template that cuts analysis time from days or weeks to just hours or minutes. This allows us to focus more on influencing strategy — and less on wrangling spreadsheets.
Cox Automotive
Optimizely Analytics
Power your digital growth
Optimizely Product Analytics, part of the Optimizely Analytics Suite, is a modern, warehouse-native analytics SaaS platform designed to give product, growth, and data teams deep, trustworthy insights into product usage and user behavior. Optimizely Product Analytics analyzes across event data and crucial business context data such as revenue—helping you optimize what really matters.
The problem
Today’s digital analytics landscape is fragmented:
- Specialized first-generation tools that show only channel-specific canned views and miss business context like revenue or customer account impact.
- Traditional BI tools that struggle with event-centric analysis (funnels, journeys, cohorts), requiring manual SQL.
This “analytics chasm” leads to:
Missing business context resulting in incomplete or misleading metrics
Data discrepancies across fragmented tools and data copies that erode trust
Lack of self-service for deeper questions beyond canned templated views
High TCO from duplicated tools and pipelines
The solution
Optimizely Analytics bridges the analytics chasm with a unified, warehouse-native platform. It’s designed for both business users and data teams, delivering powerful insights without duplication or extra pipelines. By connecting directly to your warehouse (Snowflake, BigQuery, Redshift, Databricks), it provides trustworthy, self-service analytics that are easy to use and built for scale.
Key benefits
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Faster insights — True self-service, no SQL or reliance on data teams.
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One source of truth — Everyone works off the same warehouse data.
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Business impact — Link experiments, journeys, and funnels directly to revenue, retention, and LTV.
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Complete journey view — Visualize end-to-end behavior across online and offline channels.
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Lower costs — Eliminate duplicate tools, pipelines, and debugging overhead.
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Secure & compliant — Your data stays protected inside your warehouse.
Key features of Optimizely Analytics
Analytics
Your warehouse-native engine for metrics, insights, and impact
- Connect to your warehouse: Use your existing data repository as the single source of truth.
- Define metrics: Create custom metrics tied to revenue, subscriptions, campaigns, support, store, etc., using your warehouse data model as is.
- Explore behavior: Study funnels, paths, cohorts, segmentation, and impact with first-class templates and interactively drill-down for ad hoc deep dives—self-serve without writing SQL.
- Visualize and share: Build dashboards and reports with rich visualizations, parameterization, and secure sharing.
- Activate AI & Stats: Activate Opal AI and our industry-leading Stats Engines for advanced analysis at scale.
Key use cases
Discover how analytics empowers your team to test, learn, and drive results.
Experimentation Analytics
Run your tests against the business metrics that matter most.
Product analytics
Get deep insights into product usage and user behavior.
Marketing & web analytics
Go beyond leading indicators and meausre real impact.
Customer journey analytics
See the entire customer journey across all channels.
Ad hoc business intelligence
Give your team self-service access to insights on demand.
Why Optimizely?
- Warehouse-native: Directly connect to Snowflake, BigQuery, Redshift, Databricks.
- Metrics that matter: Tie KPIs like revenue, LTV, and retention to real behavior.
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AI + Stats built-in: Advanced analysis at scale.
- True self-service: Funnels, cohorts, and paths without SQL.
- Impact in context: Link experiments, journeys, and campaigns to business results.
- Trusted globally: Used by top brands worldwide