Developed by: VWO
Support Email: support@vwo.com
About VWO
VWO is an experimentation platform that enables brands to improve their key business metrics by empowering them to easily run conversion optimization programs backed by customer behavior data.
It provides a suite of tightly integrated capabilities to unify customer data, discover customer behavioral insights, build hypotheses, run A/B tests on server, web, and mobile, rollout features, personalize experiences, and improve customer experience across the entire customer buying journey.
VWO and Fullstory
FullStory's session replay allows you to see exactly how users interact with your website, like a DVR recording of their experience. But what if you could understand how those user experiences change based on A/B testing experiments you're running?
This integration with VWO unlocks that possibility. By connecting VWO's experimentation data to FullStory, you can filter and segment session replays based on which variation of an experiment a user experienced. This allows you to analyze the impact of your A/B tests on actual user behavior, giving you deeper insights into why certain variations perform better than others.
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Use cases
- Filter session replays of users in Fullstory by A/B test or A/B test variation
Filter session replays of users who have been part of an experiment to check how they are interacting with the tested changes. In fact, go a level deeper and filter session recordings by experiment variation to see how users navigate through different variations and engage with specific changes made during the test.
- Track how your experiment impact key conversion funnels
Define VWO experiment as a funnel step and track how users are navigating through key conversion paths after becoming part of an experiment. By analyzing how users in different variations progress through your funnel, you can better understand the experiment’s impact on different stages of the user journey.
- Detect usability issues caused by your experiment variations
FullStory automatically captures signals of user frustration, such as rage clicks, error clicks, and other erratic behaviors. When you correlate these signals with VWO variations, you can determine if a particular variation is causing increased frustration.
- Compare variations against key business metrics in FullStory
If you are using FullStory to track your business KPIs, you can create segments within your Metrics to isolate data for users exposed to different experiment variations. This way, you can map your experiment’s performance against broader business objectives, allowing you to see how each variation impacts overall KPIs that you are tracking in Fullstory.