justwords.ai utilizes machine learning algorithms to dynamically refresh and personalize content across emails, push notifications, in-app messages, and websites, enabling continuous testing without manual intervention. This approach addresses the challenge of user retention by ensuring messaging remains relevant and engaging, ultimately enhancing customer engagement metrics.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CCLIFounders
Product
Problem
Marketers struggle to maintain user engagement across channels due to content fatigue and the difficulty of manually creating and testing personalized messaging at scale. Traditional A/B testing is time-consuming and often fails to adapt quickly to changing user behavior, market trends, and seasonal variations.
Solution
justwords.ai offers an AI-powered platform that automates content personalization and experimentation across email, push notifications, in-app messages, and websites. The system continuously generates and tests message variations, dynamically adapting to user behavior, market trends, and other contextual factors. By automating the optimization process, justwords.ai eliminates the need for manual A/B testing, reduces content fatigue, and ensures that messaging remains relevant and engaging. The platform provides data-driven insights and recommendations, enabling marketers to focus on strategy while the AI handles execution.
Target Audience
The primary target audience includes marketing teams, growth product managers, and lifecycle marketers at e-commerce, SaaS, and other customer-centric companies.
Features
- AI-powered content generation and optimization for personalized messaging
- Automated A/B testing and dynamic content adaptation
- Cross-channel messaging support (email, push notifications, in-app messages, websites)
- Real-time performance analytics and reporting
- User segmentation and personalization based on behavior, demographics, and purchase history
- Integration with existing marketing technology stack
- Support for multiple languages and cohorts
- AI-driven recommendations for next-best-action messaging