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Feature Flags Liberated
Gating features is a core part of the development process. And with Statsig, it's free.
How AI Companies Use Statsig
The best AI companies use Statsig to accelerate growth. Learn how you can do the same.
What is Product Observability?
Product observability means being able to monitor, control, and gain insight into all of your features.
Documentation
Walkthrough Guides
SDKs and APIs
Integrations
A/B Testing Calculator
How Statsig Works
Blog
Support
Customer Stories
Events
Build vs Buy
Contact Sales
Experiments with Generative AI
We built a generative AI app in reactJS using OpenAI’s API and Statsig. Here’s what we learned:
Experimentation Platforms
The decision to build versus buy an experimentation and feature flagging platform is not an easy one.
CUPED Explained
CUPED is an implementation that uses pre-experiment data to explain the variance in the result data.The business value and ROI of Statsig
Evaluating Statsig? This page will walk you through our key areas of value and help you quantify the potential impact of Statsig on your business: Grow key metrics, boost productivity, and save on DevOps costs.
Our customers realize value across the 3 key pillars:
1. Positively impacting core business metrics with experimentation
Impacting key metrics is the ultimate goal for most businesses, and our experimentation platform directly enables customers to identify and ship features that actually move the needle positively.
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15-20% increase in core revenue metrics such as conversions and retention
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Double-digit growth of engagement and CSAT KPIs
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33% of features that negatively impact core KPIs identified and eliminated
2. Productivity gains from robust feature management
Say no to inefficiencies from siloed point solutions and cross-functional teams! By decoupling features from code, Statsig’s integrated platform empowers customers to ship features at breakneck speed and continuously build, measure and learn.
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10X experimentation velocity in one year
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50% increase in release cadence
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Real-time feedback loops to rapidly measure impact and iterate
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Seconds to respond to critical issues by disabling feature gates
3. Cost savings
Building tools not only requires additional staffing, but also may not provide reliable results. Statsig abstracts away the heavy-lifting aspects of running experiments, so customers don’t need to invest in developing and maintaining tools internally.
- Millions saved not building and maintaining in-house tooling
- One platform to satisfy 3+ data tool needs
- Scale # of features shipped, not headcount
What is your ROI with Statsig?
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Join the #1 Community for Product Experimentation
- A breadth of experimentation topics
- Insights from hands-on experimenters at top companies
- Practical tips you can't find anywhere else
- No questions unanswered
