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Convert Experiences

Score9.9 out of 10

20 Reviews and Ratings

What is Convert Experiences?

Convert Experiences is an experimentation platform that offers features and support to run A/B tests across multiple growth channels. Its enterprise-ready advanced features include full stack experimentation, multi-page testing, post-segmentation, sequential testing, targeting with 40+ filters, triggering tests based on data in other apps (data sources), dynamic triggers, complex goal tracking, and a secure API.


It includes 90+ out-of-the box integrations in a privacy compliant platform that uses 1st party cookies.


The platform boasts users among agencies like Cro Metrics, Conversion Rate Experts, The Good, Speero, Conversion Sciences. And international brands like Sony, Unicef, Audi UK, Manscaped, and Virgin Mobiles.


Plans start $299 per month.

Media

the conditions that can be stacked to build complex goals that can track (almost) any visitor action to determine the test outcome.
granular targeting so only the right people view variations. 40+ conditions included.
the API that brings Convert's capabilities to a testing ecosystem.
experiment reports that can be shared with stakeholders and on social media.
several advanced test types that are available, including multipage (funnel) experiments.
full-stack experimentation that can be used to run tests anywhere that Convert code can be deployed.

1 / 6

Top Performing Features

  • Split URL testing

    Test out larger design changes by splitting your site traffic across two different landing pages to identify which site performs the best. It can be used to test the impact and feasibility of things such as new designs, personalization efforts, and new site architecture.

    Category average: 8.2

  • Test significance

    Ability to set the statistical significance level, or confidence interval, of a given test, for example at the 90% or 95% level.

    Category average: 7.3

  • Preview mode

    Preview your experiment before running it live on your site or app.

    Category average: 7

Areas for Improvement

  • Server-side tests

    Ability to run server-side tests (e.g. A/B, A/B/n, multivariate, and split URL tests) to test out more complex design changes, roll out features to specific audience segments, or split site traffic between different site versions.

    Category average: 7.8

  • Test duration calculator

    Automatic calculation of the estimated test duration needed to gain statistically significant results.

    Category average: 7.4

  • Experiment scheduler

    Ability to schedule experiments to run, or not run, during specific times (e.g. Not to run during a holiday weekend or while a site-wide promotion is going on).

    Category average: 7.9