Runwayer is designed to provide an individual approach the user during onboarding process, based on their unique data, preferences, needs and behavior.
Top-tier industry leaders already tried Runwayer AI, and 95% of companies report an increase in ROAS for up to 45% in the first month.
Integrate public data about your advertising strategies, campaign content and target audience for further information processing by our AI solution.
AI independently generates a unique user flow based on the collected data and uses a contextual, functional and benefit-oriented approach based on user responses.
AI determines the optimal price and quantity of products that need to be shown to the user during the the paywall transition, increasing the probability of conversion.
Reduce app store fees using built-in web-payments. Minimize friction during the payment process by offering multiple payment options, and ensuring the process is secure and seamless.
We provide a seamless transition from web onboarding to the App store or Google play for downloading the application, maintaining the attribution of data about users and the selected tariff plan.
By making the transition from web to app seamless, we enhance the user experience, reducing drop-offs and increasing conversion rates.
Runwayer utilizes data attribution models and seamless integration with advertising platforms and marketplaces to deliver precise end-to-end analytics across the marketing funnel
Runwayer offers detailed insights into past transactions and can generate revenue forecasts based on historical data and modeling.
Continuous testing of various options and adaptation based on the results. The AI tests various onboarding personalization options and adapts its algorithms based on which options lead to better results.
"A trully game-changing ai-platform for mobile product teams. With Runwayer Calm have grown almost 20% in the last month and and accelerated hypothesis testing by 3 times."
Runwayer currently is working on prior request only.
Apply for access to get started.