--- title: "Manage and execute your growth plan" description: "Run A/B tests, archive hypotheses, and expand the growth plan." --- After you complete [the analysis](autopilot-analysis), Adapty presents your growth plan — a list of actionable improvement hypotheses. Each item in the growth plan suggests a new price point, a design improvements, or a country-specific price adjustment. Open a hypothesis to try it out with an A/B test. ## View the growth plan Switch between different tabs on the screen to filter suggestions by type: - **Pricing hypotheses** explore new price points or trial configurations. Each round is based on a specific recommendation from the paywall diagnostic or market insights report. - **Visual hypotheses** are design improvement suggestions. They may involve changes to copy, layout, or other visual elements. - [Geo-pricing hypotheses](#geo-pricing-hypotheses) test country-specific price adjustments. You can [add your own](#add-your-own-hypothesis) pricing and visual hypotheses. The tests based on these suggestions can run in any order, but only one at a time. Since the audiences of geo-pricing rounds do not overlap, these tests can run in parallel with one another. ### Geo-pricing hypotheses :::important One-time purchases are not eligible for regional price optimization. ::: Open the **Geo-pricing** tab to see the list of geo-pricing round recommendations. Each recommendation targets one country with a single price change and runs as a separate A/B test. Adapty detects countries that require pricing adjustments and provides data-driven recommendations validated by the [Adapty Pricing Index](https://uploads.adapty.io/adapty_pricing_index.pdf). #### How Adapty makes geo-pricing suggestions - Pricing recommendations are based on App Store data. The resulting A/B test can run on both App Store and Google Play. - The price change percentage is the same across all subscription durations. - All prices are rounded to the nearest App Store price tier. - Prices appear in local currency (for example, EUR or GBP) if Adapty has transaction data for that country. When no local data is available, prices are shown in USD. ## Modify the plan ### Get new recommendations You can refresh the growth plan to get new automatic recommendations based on the latest market data. Click **Update** and re-start the analysis. After the analysis is over, Adapty will update the recommendations in the growth plan. If you don't like the new suggestions, you can always [restore](#restore-an-older-version-of-the-growth-plan) an earlier version. ### Add your own hypothesis Autopilot allows you to expand your growth plan with new rounds. Click the "Add Hypothesis" button to add a new hypothesis. Fill the form: add a title, description, and select the type of round (**Monetization** or **Visual**). - Select the metrics you hope to improve from the dropdown menu. - When adding a monetization round, you need to specify which products the test will involve. ## Run the tests You can run the tests in any order, but you need to run them **one at a time**. Once a test is over, advance the winning strategy to the next round. The winner of the final round represents the most efficient strategy. Based on our estimates, completing the entire test cycle could increase your revenue **by up to 80%**. :::important Each suggestion includes the minimum duration for the A/B test. Follow these recommendations to get the most accurate data before you begin with the next stage. You will need to stop the A/B test manually. ::: Open a hypothesis and click **Set Up & Run Test** to launch the A/B test creation wizard. ### Step 1: View the hypothesis The first step presents an overview of the hypothesis. It outlines the suggested changes and explains the rationale behind them. Click "Set up & Run Test" to proceed to the next step. ### Step 2: Create new products If the test involves a price change, the second step helps you create new products for the test variant. Visual hypotheses skip this step. * Click **Create a new product and push to stores** to create a new product from scratch. * Click **Connect an existing product** if the necessary product already exists in your app store setup. ### Step 3: Set up segment and paywall The third step allows you to set up the test variant of the paywall. Adapty prompts you to duplicate the paywall and apply the suggested changes. For **geo-pricing hypotheses**, the wizard prompts you to select an existing geo-fenced segment or create a new one. Click **Next** when the new paywall is ready, and the segment is set up. ### Step 4: Review & launch The final step is a summary of the upcoming test. In includes: - The key metrics for both **Variant A vs Variant B** — paywall name, product selection, trial duration, and price. - **Duration**, **Traffic** (split), and **Subscribers** (minimum sample size) for the test. - A **How to interpret results** section that describes which signals indicate the test's success. Review the configuration and click **Launch Test** to start the A/B test. ## Restore an older version of the growth plan Click the **Clock** button to view the version history and return to an earlier version of the analysis. ## Delete your growth plan To delete your growth plan, open the growth plan overview and click the **Trash** button. This action is irreversible. :::warning - The A/B tests you already created will not be deleted. - This action deletes all the versions of the growth plan. You won't be able to restore an earlier version of the analysis after this. ::: To create a new analysis, [start over](autopilot-analysis#select-a-paywall-for-analysis).