Warehouse-Native Analytics

Test against your most important business metrics

Unlock the full potential of your experimentation program by testing and optimizing against the metrics that matter most to your business.

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Explore the capabilities of our warehouse-native analytics

What sets us apart

Connect with your data warehouse

Seamlessly integrate with the most popular data warehouses including Snowflake, Databricks, Google BigQuery, and Amazon Redshift, for faster setup and data flow management.

Connect instantly to your data warehouse with ready-to-use integrations.
Map essential data points and customize tables to make data readily available for experimentation.
Run health checks to confirm connection stability and data readiness before diving into experiments.
Ensure smooth data management across platforms for accurate, real-time analysis.

Build custom metrics

Create and customize a range of metric types to track, measure, and analyze experiment outcomes in detail.

Select from built-in metric templates: Conversion Metrics (track user actions), Numeric Aggregations (sum or average values), and Calculated Metrics (combine multiple metrics for more complex insights).
Define metrics like revenue, page load time, or return rate, with the flexibility to sum, average, and aggregate values.
Write formulas to create custom metrics, with basic arithmetic operations to calculate complex data, such as total realized revenue from various sources.

Use the experiment scorecard

Analyze experiments with a comprehensive scorecard that gathers all essential data for quick and effective decision-making.

Select an experiment, then add primary and secondary metrics in a dedicated view to tailor results to your needs.
Automatically pull in experiment summary information like Days Run, Total Visitors, Page Targeted, and more for a holistic view of each experiment.
See metric performance by variation, with details on metric value, percentage improvement, confidence interval, and statistical significance.
Segment results by user attributes (e.g., platform or country) to uncover how different audiences respond to experiments.

Unlock native analytics views

Unlock deeper insights into user behavior with built-in analytics views designed to support detailed journey and funnel analysis.

Visualize user flows with funnel views to track how users progress through each step toward conversion.
Use path views to analyze the sequences users take to and from conversion events, capturing both entry and exit points.
Explore trends over time and segment data within dashboards, which can be shared across your team for strategic decision-making.

Discover the benefits

Distribuera innehåll snabbare

Publicera ditt innehåll i olika kanaler med bara några få klick, tack vare integrationer med CMS, sociala plattformar, säljverktyg och andra system.

Data consistency

Ensure complete data reliability and avoid discrepancies by using your organization’s trusted data source across experimentation and analytics.

Innehåll och kampanjer av högsta kvalitet

Ta reda på vad som fungerar – och inte fungerar: Mät och analysera med kraftfulla verktyg, och justera därefter.

Innehåll och kampanjer av högsta kvalitet

Ta reda på vad som fungerar – och inte fungerar: Mät och analysera med kraftfulla verktyg, och justera därefter.

Vi visste att vi behövde en plattform som skulle fungera på både kort och lång sikt. Mer specifikt behövde vi en lösning som kunde hjälpa oss att bygga ett enhetligt globalt varumärke, mäta vårt arbete och inte minst tydliggöra effekterna av det. Vi behövde lyfta allting en nivå. Därför valde vi Optimizely.

Tapestry

Vårt affärscase för [Optimizely] förutser över 200 % ROI under första året. Det hänger ihop med att vi sparar tid som gick åt till att skapa innehåll, onödiga möten och ständiga diskussioner som "Var är innehållet?" eller "När kommer kampanjen att lanseras?"

Chewy

This is the holy grail of visualization that a lot of analytics tools don't have. This is awesome, especially if you can show the difference [in journeys] between different variants and your test vs. control groups. This is something we have never had. It's a very heavy lift and will save a lot of operation time from my analytics team.

Cox Automotive

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Start testing against your most important business metrics

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