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


Schnellere Ausspielung von Content

Veröffentlichung des finalen Content in nachgelagerten Kanälen mit nur wenigen Klicks – dank Integration in CMS, Social Platforms, Vertriebstools & mehr.

Data consistency

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

Übertragung von Content zu Ihrem bevorzugten CMS

Erstellen Sie High-Performance Web-Content und -Assets in dem gewünschten Workflow und übertragen Sie alle Inhalte mit einem Klick zur Veröffentlichung in Ihr CMS. So einfach geht das!

Übertragung von Content zu Ihrem bevorzugten CMS

Erstellen Sie High-Performance Web-Content und -Assets in dem gewünschten Workflow und übertragen Sie alle Inhalte mit einem Klick zur Veröffentlichung in Ihr CMS. So einfach geht das!

Snowflake
Amazon redshift
databricks
BigQuery
Wir wussten, dass wir eine Plattform brauchten, die uns kurz- und langfristig unterstützt. Was wir brauchten, war eine Lösung, mit der wir die Markenkonsistenz global sicherstellen, unser Engagement messen und vor allem dessen Wirkung belegen konnten. Alles sollte einen Schritt besser werden. Also haben wir auf Optimizely gesetzt.

Tapestry

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Unser Business-Case für [Optimizely] sieht mehr als 200 % ROI im ersten Jahr vor, hauptsächlich durch die Zeitersparnis bei der Erstellung von Content, den Wegfall unnötiger Meetings und ständige Nachfragen, wo sich Content befindet oder wann diese oder jene Kampagne startet.

Chewy

a black and white sign
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

cox-automotive-logo-light

Start testing against your most important business metrics

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