These are some great questions! 1. In order for e-stores to trust the results, we tend to use Google Optimize for the A/B-tests (which randomly assigns 50% of

These are some great questions! 1. In order for e-stores to trust the results, we tend to use Google Optimize for the A/B-tests (which randomly assigns 50% of users to see the stores' previous recommendations) 2. Currently our main focus are recommendations on the product page - but we do aim to also add our recommendations in other spaces, where the checkout & landing pages are some clear alternatives! Mostly a bandwidth question at this point. 3. We might open-source parts of it sometime in the future, thought it's not something we're currently considering actively. 4. Not yet! We integrate by injecting a JS widget on their site, through which we also track the user behaviour. Sounds great - let's follow up on Twitter