Sold by: Statsig
Statsig is the leading product development platform that helps businesses use data to ship fast and build better products. Sign up to get started with free 2M events per month.
4.7
Overview
Sign up to get started with free 2M events per month, no credit card required. Statsig's pricing is simple, transparent and empowers everyone in your company to be data-driven. Unlimited seats, feature gates, experiments, metrics, feature analytics, and much more.
Statsig is the leading product development platform that helps businesses use data to ship fast and build better products. Companies like Microsoft, Figma, Notion, Flipkart, Eventbrite, Ancestry, Headspace, and Univision use Statsig to manage feature rollouts, automate experiments, and make decisions based on performance metrics. Founded in 2021 by former Facebook engineers, Statsig supports thousands of experiments impacting over a billion end users globally. Statsig democratizes experimentation, an essential aspect of reducing development risk, and previously only accessible to big tech companies.
Highlights
- Modern feature flags, rollouts, and configs for your whole team. Ship faster and more confidently with a 360 view of your rollouts impact on business metrics. Say goodbye to free trials, seat-based pricing and the hassle of maintaining in-house tools.
- With Statsig, your results do the heavy lifting. The insights that you collect from your experiments become the basis upon which you build. When every feature and configuration is an experiment, youre always optimizing.
- Dont get bogged down by the hassle of aggregating siloed data, switching between multiple tools, and managing different sources of truth. Our seamlessly integrated analytics module supports you throughout the product development lifecycle so you can rapidly scale with confidence.
Details
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Delivery method
Deployed on AWS
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Features and programs
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/request |
|---|---|---|
Metered Event | Recorded when an app checks feature, experiment or dynamic config. Up to 1M events/month. | $0.001 |
Dimensions summary
This listing uses one usage-based pricing dimension: Metered Events. A Metered Event is recorded when your app checks a feature, experiment, or dynamic config. You pay based on how many events your applications send each month, up to 1 million events per month. Pricing scales directly with your usage, so cost rises as your event volume grows. There are no separate tiers, seats, or instance sizes to choose. This single dimension covers your access at the Developer Tier level.
Top-of-mind questions for buyers
A Metered Event is recorded when your app checks a feature flag, experiment, or dynamic config, or logs an event. Exposure checks are deduplicated per user within a session window. Checks with no allocation, like disabled flags or unstarted experiments, do not generate a Metered Event. Adding extra event dimensions counts as additional events.
Metered Events are capped at 1 million per month on this tier. If you reach that limit, you will be prompted to upgrade. If you stay on this tier, flag and config targeting keep working, but metric impact computations stop. You receive warning notifications before those computations pause.
You are charged only for Metered Events, a subset of events that power analytics and metrics. These include exposures with metric lifts enabled, log events, ingested metrics, and custom metrics. Fully shipped or disabled flags with no rule evaluation do not generate Metered Events, so they add no cost.
www.statsig.com
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All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Financial Services
Streamlining experimentation and metrics tracking
Reviewed on Apr 30, 2026
Review provided by G2
What do you like best about the product?
I like how easy it is to run and analyze experiments end to end. The experiment setup is clean, the metrics feel reliable, and the results come back quickly and transparently, which makes it straightforward to move from data to decisions.
What do you dislike about the product?
Backfilling isn’t easy. Adding or changing metrics can be cumbersome, and it’s difficult to retroactively update experiments without extra effort or relying on workarounds.
What problems is the product solving and how is that benefiting you?
Statsig centralizes experimentation and product analytics, making it easy to define metrics, run experiments, and quickly understand impact. That speeds up decision-making, reduces reliance on manual analysis, and helps ensure product changes are driven by data rather than intuition.
Computer & Network Security
Statsig Review, Web Analytics
Reviewed on Mar 23, 2026
Review provided by G2
What do you like best about the product?
It’s been really helpful for collecting user activity on our platform, like tracking which pages people visit, how long they stay there, session recordings, and overall site performance. At this point, web analytics has become a central part of how we run the platform, and the dashboard makes it easy to gather a lot of data and spot issues we might be having. All in all, analytics is the main use case Statsig excels at for us.
What do you dislike about the product?
I found the setup a little difficult. It’s not a huge issue, but at times it honestly feels like there’s a lot going on, which can make the initial experience a bit overwhelming. I also noticed it makes a lot of server requests. That was a slight issue for us, possibly because of our NextJS deployment, but either way it does seem to generate quite a few requests.
What problems is the product solving and how is that benefiting you?
Web analytics: when we first rolled out on Vercel, web analytics required an extra plan, and even then it wasn’t that great. Using other services like Cloud Run also didn’t give us strong analytics or insights; it felt limited to very basic information, and it didn’t seem like a core part of those platforms. With Statsig, we truly excel in this area now. We can see metrics like Average Page Visit Duration, Average Scroll Depth, and Daily sessions, and it’s been incredibly helpful.
Chaitanya K.
Ease of use
Reviewed on Jan 09, 2026
Review provided by G2
What do you like best about the product?
Feature gates,A/B testing,Test setup,Analytics
What do you dislike about the product?
I don't see any at this point of time,will update if any
What problems is the product solving and how is that benefiting you?
AB testing
Zelal G.
Reliable and flexible experimentation platform
Reviewed on Dec 25, 2025
Review provided by G2
What do you like best about the product?
Statsig makes experimentation genuinely easy to adopt and operate at scale.
Experiment setup is simple and intuitive, which lowers the barrier to running experiments quickly.
It’s easy to verify that exposures work as expected using overrides and by checking the Diagnostics tab.
Custom metrics are easy to define, which is critical for tailoring experiments to real product and business outcomes.
A major strength is the ability to define custom user dimensions for each exposure, which enables much more effective and flexible analysis of experiment data.
The analysis experience is strong, especially when breaking down metrics across different user dimensions.
Experiment setup is simple and intuitive, which lowers the barrier to running experiments quickly.
It’s easy to verify that exposures work as expected using overrides and by checking the Diagnostics tab.
Custom metrics are easy to define, which is critical for tailoring experiments to real product and business outcomes.
A major strength is the ability to define custom user dimensions for each exposure, which enables much more effective and flexible analysis of experiment data.
The analysis experience is strong, especially when breaking down metrics across different user dimensions.
What do you dislike about the product?
One area where Statsig could improve is identifying bot traffic more effectively.
We’ve observed some experiment exposures coming from bots and had to proactively report these cases to help improve detection. While the Statsig team was responsive, stronger built-in bot identification would help reduce noise in experiment results.
We’ve observed some experiment exposures coming from bots and had to proactively report these cases to help improve detection. While the Statsig team was responsive, stronger built-in bot identification would help reduce noise in experiment results.
What problems is the product solving and how is that benefiting you?
Statsig solves the problem of running reliable, production-ready experiments without excessive setup or operational overhead. In my role as a Principal Search Engineer, it allows me to quickly design, launch, and validate experiments with confidence, while ensuring exposures and metrics are behaving as expected. This significantly reduces the time and effort required to go from hypothesis to insight and enables faster, more informed product decisions in a production environment.
Shubham S.
Effortless Experimentation and Feature Flags with Statsig
Reviewed on Dec 18, 2025
Review provided by G2
What do you like best about the product?
Statsig excels at fast, reliable experimentation. It makes feature flags, A/B tests, and impact measurement easy to run at scale, with strong statistical rigor and minimal engineering overhead.
What do you dislike about the product?
The UI and analysis workflows can feel opinionated and less flexible for deep, exploratory analysis, and advanced use cases still require engineering involvement.
What problems is the product solving and how is that benefiting you?
Statsig solves the problem of safely shipping and validating changes. It enables controlled rollouts, rigorous experimentation, and clear impact measurement, reducing risk while helping teams iterate and learn faster.