The objective of this project was to design an email strategy and algorithm for a new age AI-based investing app. The project aimed to create a robust communication system that would effectively engage users with the app and improve the user experience.

The email strategy and algorithm were designed to include primary, secondary, and tertiary flows. The primary flow included a welcome email series that would be sent to new users upon signing up for the app. The email series would introduce the app's features and benefits and encourage users to start investing.

The secondary flow included a series of emails that would be sent to users who had not logged into the app for a certain period. The emails would serve as reminders to encourage users to engage with the app and continue investing.

The tertiary flow included a series of emails that would be sent to users who had completed a certain level of investment in the app. The emails would congratulate users on their progress and provide them with additional investment opportunities.

The email algorithm was designed to be personalized and dynamic, taking into account each user's investment behavior and preferences. The algorithm would analyze the user's investment history and provide personalized investment recommendations, which would be sent to the user via email.

The email strategy and algorithm were also designed to be scalable and adaptable, allowing for easy integration with the app's future features and updates.

Overall, this project was successful in creating a comprehensive email strategy and algorithm for the AI-based investing app. The communication system would effectively engage users with the app, improve the user experience, and ultimately drive more investments in the app.