Customer reviews and actions as social proofs — hypotheses and questions after helping customers gain 115% conversion rate in 2 weeks

We launched Credible a while ago (our journey), under the hypothesis that customer reviews and actions can be strong social proofs and the way they are presented to potential customers matter a lot, because customers would be paying more attention to reviews and actions that are relevant to them. Relevance can be in the forms of many dimensions, such as where and when an action is taken, reviewer's location, topics of the review, presence of keywords, length of review, and others. Before we launched it, we tested it with an online food ordering website and achieved really impressive results (+115% conversion with initial A/B tests using 50%/50% traffic split with >99% confidence)

Here, we use the term "actions" referring broadly to a range of activities: sales, sign ups, bookings, form submissions, and many others. Based on our knowledge, a large number of existing social proof products are already doing a great job capturing most common types of actions by using REST APIs and integrating with existing platforms.

However, the solutions for capturing and sharing reviews are still lacking. Based on our experience implementing these features, and our past experience building products aggregating and analyzing reviews, we know the technical complexity is magnitudes higher.

We are in the middle of doing some A/B tests to quantitatively validate the hypotheses, but I want to get indie hackers' opinions on whether these hypotheses are fundamentally flawed, to the extent that they might not affect the conversions so much, or customers wouldn't care.

If you have used social proofs in your e-commerce or SaaS products, what do you think of these hypotheses and how strongly would you feel to give it a try / pay for a product like this?