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🧪 Experiment Exposure Events Metrics Explorer
6/25/2025
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🧪 Experiment Exposure Events Metrics Explorer (Cloud)
Overview
You can now treat experiment exposure events like any other event in Drilldown (time-series) and Funnel analyses. Exposure events include properties such as group, as well as user properties logged with the exposure. We currently only show first exposures to the experiment.
What You Can Do Now
Pick exposure events in Drilldown charts to track how many users saw each variant over time.
Add exposure as the first step of a funnel to measure post-exposure conversion paths.
Group or filter by exposure properties, for example, break down results by variant, region, or device.
Overlay exposure counts with key metrics in Drilldown to check whether metric changes align with rollout timing.
How It Works
Exposure logging
The first time a user is bucketed into an experiment, an exposure event is recorded with contextual properties.
Event selection
In both Drilldown and Funnel charts, exposure events appear in the same event picker you already use.
Property handling
Any custom fields travel with exposures, enabling the same group-by and filter controls available for other events.
Impact on Your Analysis
Drilldown
Validate rollout health by confirming traffic splits and ramp curves over calendar time.
Catch logging issues early—spikes, gaps, or duplicates stand out immediately.
Align timing with metrics by viewing exposure and conversion lines on one chart.
Funnels
Measure post-exposure journeys starting the moment users see a variant.
Pinpoint variant-specific drop-offs by breaking down each step.
Ensure clean attribution because exposure proves the user entered the test.
Segment by exposure fields (e.g., region or device) to uncover cohort-level insights.
This feature is now available on Statsig Cloud and coming soon to Warehouse Native. Give it a try the next time you validate an experiment. Seeing exposure data side-by-side with core metrics speeds up debugging and sharpens your reads on variant performance.
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"Statsig's experimentation capabilities stand apart from other platforms we've evaluated. The ease of use, simplicity of integration help us efficiently get insight from every experiment we run. Statsig's infrastructure and experimentation workflows have also been crucial in helping us scale to hundreds of experiments across hundreds of millions of users."
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Preethi Ramani
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Brooks Taylor
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Ahmed Muneeb
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"We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig."
Partha Sarathi
Director of Engineering
"Statsig has been a game changer for how we combine product development and A/B testing. It's made it a breeze to implement experiments with complex targeting logic and feel confident that we're getting back trusted results. It's the first commercially available A/B testing tool that feels like it was built by people who really get product experimentation."
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Toney Wen
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Michael Koch
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Mengying Li
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Dave Cummings
Engineering Manager, ChatGPT
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Erez Naveh
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Rafael Blay
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