Andrew Paradise
Management
Sure, Brian. Thanks for the questions. This is Andrew again. First, I think is kind of break this part. One question, one is about IDFA, and how about impact advertising? Question two is discussing the data science on the platform in terms of fairness as we scale. So let me hit the first one, which is IDFA. We don't really expect the material negative impacts on our business from IDFA changes. It could be a small positive for our business. In fact, if you think about IDFA, what's happening is making ad targeting less precise. And that has two implications for Skillz. First, you have more limited targeting, which likely means lower CPMs, which challenges ad support business models and actually makes sales monetization even more attractive to the developer community. So, it will actually accelerate adoption for us. Second, IDFA, it's exposing businesses that are reliant on targeting niche audiences. So if you think about us as a platform with thousands of themes, we actually cut across many different demographics. We can buy broad audiences that others can't and in our sector. And we'll be happy to do so at lower prices as other bidders are dropping out of the market. Separately, to answer your second question which was on data science and about fairness, we are only seeing actually faster and fairer matching at continuous scale, actually, the system functions at pretty low levels of daily audience per game, we designed it so that they could auto scale from very small games up to very large ones. And so, as we're seeing games, pushing that headroom and becoming bigger and bigger, we're actually seeing improvements in our ability to deliver a fair outcome, and it's a system I point out to those who are newer to the story. The data science investments in our company have been deep and significant for actually the life of the business. When I came in seven years ago, we were a five person team. We had three data scientists on the team and we've only scaled up from there. It's been I'd say a very important defining feature of Skillz to invest in data sciences and really focused on how to deliver fair, fun, meaningful competition.