The use case: how HelloFresh deploys Statsig
HelloFresh uses Statsig Warehouse Native as an end-to-end experimentation platform that runs directly on its existing warehouse datasets. It runs conversion, reactivation and retention experiments, standardizes experiment setup with reusable templates, and uses verified metrics as a quality guardrail.
More reported results
Figures published in Statsig’s case study. They are not independently measured by usedby.
Now, the team has scaled to running nearly 1,000 experiments per year and increased the number of experiments with a decision by 55% - demonstrating their commitment to data-driven product growth.
In the customer’s words
Our goal was to enhance the quality of experiments and shorten decision-making times. The demands of our stakeholders outpaced what we could deliverOther AI tools used by HelloFresh
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Explore HelloFresh’s AI stackOther companies using Statsig
Customers across industries, with public evidence.
AncestryConfirmed
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Equal AIConfirmedGo straight to the source
Based on Statsig’s published case study. We check the public evidence; the results are reported by the vendor.
statsig.com- Last checked
- Nov 12, 2026
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What we compared with the page.
- The figure: 25%Checked
Printed word for word on the page, near the name of HelloFresh.
- The passage quoted aboveChecked
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- HelloFresh uses StatsigChecked
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- The result itselfNot checked
We quote it; we did not measure it.
With Statsig, HelloFresh has access to more techniques that enhance statistical rigor and have resulted in a 25% reduction in decision-making time.





