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Copy file name to clipboardExpand all lines: versioned_docs/version-3.0/autopilot-how-it-works.md
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@@ -4,6 +4,7 @@ description: "Understand the logic behind the Growth Autopilot and trust us to g
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metadataTitle: "Growth Autopilot | Adapty Docs"
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keywords: ['autopilot', 'growth autopilot']
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---
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import ZoomImage from '@site/src/components/ZoomImage';
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[Growth Autopilot](autopilot.md) helps you figure out which experiments to run based on your actual performance data and how similar apps in your market are doing. Instead of guessing what might work, you get specific recommendations for tests that are more likely to improve your results.
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We don't use your app's performance data to train recommendations for other apps. Your data stays private.
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:::
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#### Market benchmark data
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<ZoomImageid="app-analysis.webp"width="700px" />
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#### Competitor data
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Autopilot compares your setup with similar apps in your market using public information like pricing, subscription structures, and common patterns in your category. This is based on third-party and public data, not private metrics from other Adapty clients.
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Autopilot selects relevant competitors automatically based on what you can realistically compete with. We generally recommend sticking with these suggestions rather than adding apps that are too far ahead or too far behind. If your app falls into several categories, you might want to adjust the list to focus on the most relevant market segment.
Autopilot also uses category-level data to show how you compare to the industry average. This data is anonymized and aggregated, not tied to specific apps.
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For example, your conversion funnel might be compared against the average for apps in your category. This helps you see if you're underperforming, doing about average, or already ahead of the curve.
Autopilot creates a sequence of experiments to improve your paywall step by step. Instead of testing everything at once, it focuses on one change at a time so you can see what actually works.
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Autopilot only suggests tests you can launch with your existing products and setup, or with small changes like creating a new product or adjusting a price. The goal is to keep testing fast and manageable.
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5.**Show you the reasoning**
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For each recommendation, Autopilot provides a clear hypothesis that explains exactly why this test is worth running. You'll see how your current metrics compare to competitors and industry averages, what the opportunity is, and which key metrics we expect to improve.
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This turns experimentation into a repeatable process where each test teaches you something and moves you toward a more effective paywall.
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<ZoomImageid="growth-plan.webp"width="700px" />
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## What happens after you complete the experiments
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Once you finish all the recommended experiments and see an increase in revenue, your work isn't done. After some time with your new setup, you can rerun the analysis and start a fresh round of experiments. You might even choose to compete with more advanced competitors now that you've optimized your baseline. This iterative approach helps you keep maximizing your revenue as your app grows and the market evolves.
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:::tip
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More features are coming! Expect even smarter suggestions, an idea library to explore proven strategies, and the ability to launch experiments in one click. Autopilot will keep getting better at helping you grow.
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margin: '0 auto' /* center alignment */
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}}
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</Zoom>
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## Why will it work?
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Every recommendation comes with a clear hypothesis that explains the reasoning behind it. You'll see how your current metrics stack up against competitors and industry averages, what opportunity we've identified, and which key metrics the test is expected to improve.
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For a detailed look at how Autopilot analyzes your growth strategy and which data sources it uses to create recommendations, check out [our article](autopilot-how-it-works.md).
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