Thanks for supporting our launch, Laura. You've brought up a great question, let me take a stab at answering it: (i) A/B testing: Octopulse supports A/B testing using the widely used user-randomization based control/treatment setting. Segmentation, Content and Volume/Cadence are the key dimensions along which the experimentation happens. (ii) Message Optimization: Octopulse consumes historical/previous notifications and emails, and uses machine learning and LLMs to recommend updated content that's likely to maximize conversion and retention. So, there is a continuous feedback-loop based learning that's happening in the background. Does that answer your questions?

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