Traditional A/B testing is expensive. You're spending real budget, real impressions, and real time just to find out which headline your audience prefers — and by the time you know, the campaign window has closed.
Generative AI can produce infinite variations, but it has no idea which ones will actually convert for your audience. It's pattern-matching on the internet — not your data.
Prosa is built differently. It starts with your performance history and builds a predictive model that tells you, before you send anything, which copy is most likely to hit your goal.
Prosa connects to your existing campaign data — emails, SMS, push notifications, landing pages. It ingests send/open/click/conversion records and builds a corpus of what your audience has responded to across every content type and goal.
Using that corpus, Prosa trains a lightweight predictive model specific to your brand and audience. It learns which linguistic patterns, structures, and tonal cues correlate with your performance outcomes — not a generic dataset's.
Paste in any piece of copy and Prosa returns a predicted performance score (0–100) against your chosen goal: engagement, conversion, retention, or awareness. You see the contributing factors and exactly where to improve.
With one click, Prosa generates an optimized rewrite that preserves your voice while maximizing your goal. You keep full editorial control — edit it, reject it, or use it as a starting point.
Prosa is trained per client. Your campaign history never mingles with another brand's model.
Every score surfaces the contributing factors. You always know why a piece of copy ranked the way it did.
Prosa assists writers; it doesn't replace them. Every suggestion is a starting point, not a final answer.
