Experiment types & delivery — found from sitemap — Contentsquare

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• Ab testing Report an error

  “A/B testing: this method involves running 2 different versions of a product, website, app, or feature to determine which performs the best with users.”

• Multivariate testing Report an error

  “Multivariate testing: similar to A/B testing, but with multiple variables changing at the same time.”

• Funnel testing Report an error

  “Funnel testing: this method involves making changes across multiple pages to see how they affect users’ progress through the customer journey.”

• Split testing Report an error

  “Split testing: similar to A/B testing, except instead of having the 2 web pages competing against each other, the traffic is equally split between existing variations.”

• Experimentation tools Report an error

  “You can use Contentsquare to monitor your A/B tests, thanks to our integrations with tools like AB Tasty, Omniconvert and Optimizely.”

• Heatmaps Report an error

  “Heatmaps, which help you collect data on how people use pages of your site after a change and can be paired with A/B testing”

• Session replay Report an error

  “Session Replay, which lets you dig deeper into how users behave on a page, and watch what happens when they get stuck or before they exit”

• Journey analysis Report an error

  “Journey Analysis, which shows you how users move through your important product flows, so you can see where they drop out and spot ways to prevent this”

• Surveys Report an error

  “Surveys, which give you insight into users’ thoughts or feelings on your product—or about your experiment in particular”

• Slack Report an error

  “Use the Contentsquare-Slack integration to communicate with stakeholders, engineers, and designers. Share user feedback (for example, survey responses) instantly, and avoid back-and-forth email chains.”

• Product analytics dashboards Report an error

  “Monitor changes to your important metrics (that might flag opportunities for optimization) with a custom product dashboard”

• Definition Report an error

  “Product experimentation (or 'product experiment', or 'product testing') is a systematic and data-driven approach to improving products by testing different variations or features before launching them to all users.”

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