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Key features

• Provides AI-driven personalized messaging and timing for each user based on live context.
• Supports multiple engagement formats such as widgets, nudges, gamification, videos, push notifications, and emails.
• Enables segmentation, A/B testing, and journey building for campaign optimization.
• Integrates with analytics, CRM, and marketing platforms for cohort import and data sync.
• Offers drag-and-drop templates for tooltips, nudges, and surveys.
• Allows campaign management and analysis via natural language through AI agents.

Use cases

• Launching personalized in-app campaigns to boost user engagement and retention.
• Running growth experiments and A/B tests to optimize messaging and timing.
• Improving onboarding and feature adoption with guided walkthroughs and UI templates.
• Syncing user cohorts from analytics tools to target specific segments.

Pros

• No engineering effort or app releases required to launch new experiences.
• Integrates with existing analytics and marketing stacks.
• Offers a variety of engagement formats in one platform.

Limitations

• Starter plan limits audience segments to 10.
• Some advanced features like gamification and off-app channels are only in higher tiers.

Screenshots