Statsig Developer Tier
StatsigReviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
327 reviews
from
External reviews are not included in the AWS star rating for the product.
Feature Flags and Experiments Make It Stand Out
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.
Comprehensive Experimentation Features, But Steep Learning Curve
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.
Great Customization and Visualization, But Pricing and Setup Are Challenging
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
Deep Behavioral Analytics That Go Beyond Surface-Level Metrics
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
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.
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.
Great insights out-the-box. Simple to integrate with comprehensive feature set
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.
Statsig has been a great tool for enabling us to improve our AB testing workflow
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
- 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.
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.
Solid feature flagging and experimentation platform
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.
Seamless Experimentation and Clear Insights with Statsig
What do you like best about the product?
Using the Statsig SDK has been both convenient and intuitive, making it easy to integrate and get started quickly. The diagnostic feature is especially valuable—it simplifies debugging and ensures experiment implementations run smoothly.
The results dashboard presents experiment outcomes in a clear and straightforward way, which saves a lot of explanation time and speeds up decision-making across teams. On top of that, running server-side A/B tests has significantly improved our product’s user experience.
The results dashboard presents experiment outcomes in a clear and straightforward way, which saves a lot of explanation time and speeds up decision-making across teams. On top of that, running server-side A/B tests has significantly improved our product’s user experience.
What do you dislike about the product?
Took a little time to get support but it happened only once
What problems is the product solving and how is that benefiting you?
Server side A/B tests.
multiple experiment groups.
Results dashboard
Live stream of experiments traffic
multiple experiment groups.
Results dashboard
Live stream of experiments traffic
Very easy to get started
What do you like best about the product?
Statsig has a free tier that allows you to start very easy and quickly. Statsig also has great documentation and SDKs that helps you get started.
What do you dislike about the product?
Not particular to Statsig itself, but this experimentation field can be very technical and you should know what you're doing.
What problems is the product solving and how is that benefiting you?
I'm using Statsig to A/B test new features, and see if they are having a positive impact in the business.
Statsig for product improvements
What do you like best about the product?
With Statsig, the set-up of the system to your platform-of-interest is incredibly easy through the use of their "Integrate Statsig SDK" with a wide range of options such as JavaScript and HTML.
There are a wide range of configurable features to ensure that the analytics collected provide maximum benefit and insight to the customer. One key use case is understanding how to improve the performance of the product and identify pain points for efficiency enhancements.
There are a wide range of configurable features to ensure that the analytics collected provide maximum benefit and insight to the customer. One key use case is understanding how to improve the performance of the product and identify pain points for efficiency enhancements.
What do you dislike about the product?
As yet, I have not identified any feature that I dislike on this platform. I have tested alternatives but none have proven to outcompete Statsig.
What problems is the product solving and how is that benefiting you?
There are a wide range of configurable features to ensure that the analytics collected provide maximum benefit and insight to the customer. One key use case is understanding how to improve the performance of the product and identify pain points for efficiency enhancements. These are actionable and help to ensure client happiness and retention.
showing 1 - 10