A/B tests take weeks to run. What if real-data-driven AI personas could predict the outcome in advance? Title: Data-Driven Persona-Conditioned Agents for A/B Test Simulation URL: ❓ What question format works best for AI personas? 💡 Pairwise evaluation, where the agent directly compares variants, wins clearly: 0.75 accuracy on CTR and 0.80 on subscription tests. Independent scoring drops to around 0.40. ❓ Do you need proprietary data to build good personas? 💡 Open e-commerce data matched proprietary data almost as well. But out-of-domain data (movie reviews) hurt accuracy, showing domain match really matters. ❓ Is it better to go deep on behavior data or wide on demographic diversity? 💡 A "deep pool" of highly engaged users won for CTR prediction, but for subscription tests, a demographically diverse pool performed just as well. ❓ Can you cut costs by using fewer personas? 💡 Yes — subsampling from 935 down to 500 personas kept accuracy nearly unchanged, roughly halving simulation cost. #ABTesting# #LLMAgents#

AI unlocks insane product velocity But so much of it is being wasted. Startups need to spend more time: 1. New sales pitch training - operationalizing how that leads to changes in the sales pitch + training 2. On Acquisition Funnels - the way you’re AB testing marketing funnels to acquire customers 3. Upsell motion - identifying signals in the data to prioritize customers for upsell and getting your teams upsell motion nailed 4. Product marketing - how you’re doing product marketing on a per user basis to drive more engagement and retention And many more

Aircraft arresting systems—the critical line of defense to stop tactical fighters in an emergency. If these barriers are down, we don't fly. See how they secure the flightline 👇

The UK has been arresting its own citizens en masse. Why? Either: 1) The UK suddenly experienced a DRAMATIC increase in violent online threats, or 2) Government did something the population disliked, and government is began arresting dissenters. Which one? 🤨