Social Value careers

30-40% of all spending in the world is caused by people influencing each other. You know this from everyday life. Business knows this is a blind spot, but there isn't a solution, so marketers rely on online influencers, loyalty programs and the occasional referral mechanism. Ask yourself what would be possible if all of that spending was suddenly visible--who influences who else, who is receptive to it, and exactly how much money and activity does it drive?

It sounds like magic or science fiction, but it is real. We developed, patented and peer-reviewed a method that does exactly this, unlocking a signal that is so large that the challenge isn't whether it's useful but where to start and how to execute on it.

Ideally, this is where you come in, fellow traveler. We have a python algorithm that is now containerized and has an LLM wrapper for simpler deployment. Our mission is to get this code into the hands of marketers, data stores and channel partners to allow them to use it. And, our endgame ambition is to be the database of record for all of these influence scores, much like FICO is for credit worthiness.

How are we doing and where are we at? Early, and yet not early. The tech is built and deployed with one major customer. We've empowered their data science team to run it, and now have over 120m end-users scored for influence and receptivity. They saw the results from their own data and asked to invest. We have a long way to go, engineering-wise, to get to our goals. We start selling next.

Our GTM plan is to deploy our code in forward-deployed engineering enterprise deals first, alongside some direct data sales out of our 120m-person database. There will be many configurations, deployments, and systems that need building, alongside architecture and long-term thinking.