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330 reviews
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    Sports

User-Friendly Platform with Clear SDK Docs, Unique Environment Setup

  • October 30, 2025
  • Review provided by G2

What do you like best about the product?
The platform is easy to use, and the documentation for integrating the mobile SDK is clear.
We use both Stats and Experiments to conduct A/B tests and it works great. It has a rather elegant way of displaying the experiments. Customer support is very efficent as well, at some point i contact support through slack and we got it fixed during the same day
What do you dislike about the product?
It's not a major issue, but getting accustomed to mixing environments can take some time, especially since other tools usually keep environments separate.
What problems is the product solving and how is that benefiting you?
Just A/B testing


    Stephen K.

Statistical expertise at a glance

  • October 30, 2025
  • Review provided by G2

What do you like best about the product?
Statsig makes it possible to comprehend complex statistical concepts -- significance, confidence intervals, etc. -- at a glance. It helps us make better decisions about our experiments and communicate with our stakeholders about our results. The feature gate functionality is also pretty straightforward and integrates nicely with the results interface.
What do you dislike about the product?
Pricing is a bit steep, but yet get what you pay for.
What problems is the product solving and how is that benefiting you?
Statsig helps us understand when we have confidence that an experiment is performing well. It helps us understand the level of confidence we have in the specific magnitude of the effect size. It also allows us to QA and launch experiments easily.


    Education Management

Statsig is a modern, well designed analytics tool

  • October 27, 2025
  • Review provided by G2

What do you like best about the product?
I really like Statsig because it feels modern, simple, and easy to work with. We haven’t tried all the features yet, but so far it’s been working very well for us. I especially like the feature flag integration with Sentry, which makes it easy to connect everything in our workflow. The SDKs are great to use and feel up to date, and the documentation has been clear and helpful. Overall, it’s a well-designed tool that makes experimentation and feature management straightforward.
What do you dislike about the product?
So far I haven't found any parts of Statsig that I dislike
What problems is the product solving and how is that benefiting you?
We have used Statsig to experiment with how we gather feedback, and prompt our users to rate our app. With Statsigs A/B testing and powerful dashboards its been very easy to experiment and adjust accordingly


    Market Research

Feature Flags and Experiments Make It Stand Out

  • October 24, 2025
  • Review provided by G2

What do you like best about the product?
I really like feature flag and experiments
What do you dislike about the product?
Bit difficult to understand store parameters
What problems is the product solving and how is that benefiting you?
By using statsig it is easy to release new feature to users.


    Financial Services

Comprehensive Experimentation Features, But Steep Learning Curve

  • October 22, 2025
  • Review provided by G2

What do you like best about the product?
I like how detailed and well thought out all of Statsigs features are. When it comes to experimentation, theyve thought of every avenue possible for any experiment someone wants to run. I recently began using the dashboards and metric explorer for my experiment and its so easy to use and works seamlessly with the data I want to track.
What do you dislike about the product?
Sometimes it can be a little difficult to understand what exactly is available with Statsig. There definitely is some google searching and documentation review that goes into understanding Statsigs true capabilities.
What problems is the product solving and how is that benefiting you?
Statsig is allowing my company to perform comprehensive experimentation for new features and determine significance of these features amongst our customers. Experimentation is a huge need for any software company building out new ideas, and Statsig has been the best platform so far to enable that need.


    Information Technology and Services

Great Customization and Visualization, But Pricing and Setup Are Challenging

  • October 21, 2025
  • Review provided by G2

What do you like best about the product?
Configurability, ease of use, visualization of data
What do you dislike about the product?
It's hard to make the case for Statsig compared to our own hosted solution due to pricing and effort of implementation
What problems is the product solving and how is that benefiting you?
We are running a lot of A/B tests on our mobile apps and Statsig helps us to keep track and manage these tests


    gary a.

Deep Behavioral Analytics That Go Beyond Surface-Level Metrics

  • October 18, 2025
  • Review provided by G2

What do you like best about the product?
I’ve used a lot of analytics tools across my SaaS stack, and most of them focus on front-end visual behavior — clicks, scrolls, funnels, heatmaps, and basic user session data. Helpful… but limited. What I really wanted was deeper product intelligence — the kind that tells me why a user behaves a certain way and how that ties to actual retention, usage frequency, and long-term value.

That’s where Statsig stands out.

Statsig has given me data at a depth I can’t get from lightweight analytics tools. Instead of just watching what a user does visually, I can understand how features perform, what actually drives engagement, and which actions correlate with better conversions or retention. The platform feels like telemetry for your product, not just a UI event tracker.

I still use Humlytics for lightweight behavior snapshots, but Statsig is what I use when I want real product decision-making clarity. It’s not just tracking events — it’s tracking outcomes. The experimentation and evaluation layer makes it easy to move beyond assumptions and ground decisions in actual product impact.

If you’re serious about iterating your SaaS, and you need something deeper than “where users clicked,” Statsig is a huge step up. It’s a product intelligence tool, not just analytics — and that distinction matters once your product starts scaling.

Pros:

Deep behavioral analytics tied to product outcomes

Lets you measure impact, not just interactions

Great for SaaS feature iteration and retention improvement

More strategic insight vs surface-level UI tracking

Gary Stephen Arias | wedo.software
What do you dislike about the product?
More complex than lightweight tools (but worth it if you care about depth)
What problems is the product solving and how is that benefiting you?
Statsig is solving a very real gap for me as a SaaS founder — the difference between surface-level analytics and actual product intelligence. Most tools show me what users do on the screen, but Statsig shows me why they behave that way and how it impacts retention and long-term usage.

As a full stack developer, I appreciate that I can tie feature adoption directly to real outcomes instead of guessing based on click heatmaps or UI behavior alone. It gives me confidence when shipping features because I can validate impact with data, not gut feeling.

For wedo.software and the SaaS products we build, Statsig turns analytics into actionable product direction, not just dashboards — and that’s a big difference.


    Matthew T.

Great insights out-the-box. Simple to integrate with comprehensive feature set

  • October 15, 2025
  • Review provided by G2

What do you like best about the product?
So far the web analytics has been a great (unexpected) addition to our existing insights. The feature gates were straight-forward to setup and seem quite comprehensive in terms of roll-out and user-targeting. We're about to start using them in some experiments around our high traffic areas. Client-side integration was straightforward too, using the Next.js guide. The auto/built-in metrics have allowed us to get some deep insights without any additional setup!
What do you dislike about the product?
Nothing so far! We're still in the early days of adopting Statsig
What problems is the product solving and how is that benefiting you?
Statsig will solve our A/B testing needs when it comes to validating our product improvements, helping us make data-driven decisions with confidence and iterate much faster.


    Jack F.

Statsig has been a great tool for enabling us to improve our AB testing workflow

  • October 13, 2025
  • Review provided by G2

What do you like best about the product?
- creating, running and analysing AB tests is quick and simple
- Statsig offers a lot of flexibility & configurability if needed, but is also quick to configure with templates
- API integration is straight forward
- results analysis is comprehensive
What do you dislike about the product?
I don't really have anything negative to say here!
What problems is the product solving and how is that benefiting you?
Before, we used our own AB testing framework which often involved complex custom analysis for every AB test.
Now, we're trying to be smarter in the way we configure experiments and log our metrics with Statsig, to make this custom analysis no longer needed.


    Computer Software

Solid feature flagging and experimentation platform

  • October 10, 2025
  • Review provided by G2

What do you like best about the product?
Really intuitive dashboard for managing feature flags and A/B tests. The real-time metrics are super helpful, and rolling out features gradually is straightforward. Integration was pretty painless too.
What do you dislike about the product?
The documentation could be more detailed in some areas. Sometimes the UI feels a bit cluttered when you have tons of experiments running. Pricing can get steep as you scale up usage.
What problems is the product solving and how is that benefiting you?
Statsig makes it easy to test new app features before fully rolling them out. We can quickly run A/B tests to see what users actually respond to, then gradually release winners to everyone. This reduces risk and helps us ship better features faster instead of guessing what'll work.