After you complete the 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 test country-specific price adjustments.

You can add your own 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

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.

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 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%.

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.

To create a new analysis, start over.