Tired of your Optimizely contract?

Every feature management platform has its upsides and downsides.

At Statsig, we've found that users migrating from other platforms are often suffering from a few chief complaints with their current providers, including:

• Contract bloat: Their contract gets larger and larger based on platform and feature usage, paying rates they would've never originally agreed to.

• Lackluster features: The features that were once attractive turn out to be cumbersome to maintain, leading to decreased experimentation vigor.

• Lack of support: Providers that are attentive to getting contracts signed are conspicuously absent in supporting those customers.

• Hitting the wall: As companies adopt an experimentation culture, they find that their vendor can't adequately provide the level of depth that customers require.

If any of these are happening to you, it might be time for a switch.

The top 5 reasons to switch from Optimizely to Statsig

While Optimizely is a very powerful platform that serves many happy users, it's not everyone's best choice. Here are the top 5 reasons to consider switching from Optimizely to Statsig:

Feature management capabilities

Managing feature rollouts and A/B testing can often feel like walking a tightrope without a safety net. Statsig offers a suite of advanced feature management tools designed to give you that safety net and much more.

With dynamic configurations and layered experimentation, you gain granular control over every aspect of feature deployment. This means you can tweak features on the fly without redeploying your entire application, allowing for rapid iteration based on real user data.

Furthermore, Statsig understands the importance of deploying features not just quickly, but with confidence. Our robust testing capabilities ensure that new features perform as expected across various scenarios, minimizing risks and surprises after deployment.

This approach not only saves valuable development time but also enhances the reliability of your application in live environments.

Whether you're rolling out a minor change or a major update, Statsig keeps you equipped and ready for a smooth transition.

Superior experimentation framework

Statsig employs advanced statistical models like CUPED and sequential testing to refine the accuracy of your experiment results. These methods adjust for variability in pre-experiment data, enhancing the reliability of your findings.

This precision allows you to make more informed decisions based on solid data analysis, not just hunches.

Choosing the right statistical approach can be as crucial as the experiment itself. Statsig offers the flexibility of selecting between Bayesian and Frequentist methodologies. This choice lets you align the statistical analysis with your team's expertise and specific business objectives, ensuring that the insights you gain are both relevant and actionable.

By incorporating these sophisticated tools, Statsig not only supports but enhances your experimentation framework. You get to test ideas and roll out features with a higher degree of confidence.

Each test you run is an opportunity to learn and adapt, powered by Statsig's robust analytical capabilities.

Integration with data warehouses

Statsig stands out by allowing you to run experiments directly in your data warehouse. This capability enables real-time data analysis and immediate insight into the impacts of your experiments. You see results as they happen, speeding up decision-making processes.

Warehouse-native features in Statsig streamline your workflows significantly. They eliminate the need for data duplication and reduce latency in data availability. By keeping everything in one place, you minimize delays and maintain data integrity.

With Statsig, you benefit from:

• Real-time insights: Immediate access to experiment results.

• Reduced complexity: No need for redundant data storage.

• Faster workflows: Quicker transitions from testing to action.

This integration ensures that your data is not only accessible but also actionable at the pace your business moves.

Cost-effectiveness and transparent pricing

Statsig's pricing model is straightforward and based on usage. This approach ensures that you can predict costs more effectively, avoiding unexpected expenses. Statsig provides clear, upfront information about pricing, which is readily accessible on their pricing page.

For startups, Statsig offers a free tier. This is crucial for smaller teams or companies just beginning their experimentation journey. It significantly lowers the barrier to entry, enabling innovation without the initial financial burden.

Here’s how you benefit from Statsig’s pricing approach:

• Predictable costs: You pay for what you use, nothing more.

• Scalability: As your needs grow, Statsig’s pricing scales with you.

• Access for all: The free tier makes advanced tools available to everyone.

With Statsig, budgeting for experimentation becomes simpler and more manageable. You gain access to powerful tools with no hidden costs, making it easier to plan and expand your projects.

Statsig versus Optimizely, head to head

Wondering how Statsig stacks up against Optimizely in a feature comparison? We've got the data.

Let's compare!

A focus on developer and operational efficiency

Statsig's tools are designed with developers in mind, featuring extensive SDK support and simplified implementation processes. This setup reduces both setup time and technical debt, facilitating a smoother integration into your existing systems. You'll find that getting started with Statsig is straightforward, thanks to comprehensive documentation and a wide range of SDKs compatible with over 20 programming environments.

On the operational front, Statsig emphasizes reliability and transparency. The platform's high uptime and transparent system status updates ensure that you can rely on it for critical deployment and experimentation tasks. You can check real-time status updates and system reliability information on their system status page, which helps in planning and risk management.

These features collectively streamline workflow and enhance operational efficiency:

• Quick integration: Minimal setup time accelerates your project's start.

• Reliable performance: Depend on Statsig for crucial tasks without worry.

• Transparent operations: Always know the status of the services you rely on.

Each aspect of Statsig's design and operation is crafted to ensure that you spend less time managing tools and more time creating value.

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Resources:

• Statsig versus Optimizely: Head-to-head comparison

• The top 4 Optimizely alternatives

• Experimentation platforms for small businesses

• Statsig Sidecar: No-code website A/B tests