Operator: Thank you. Our next question will be from Aaron Lee, Macquarie. Please go ahead.
Aaron Lee: Hey guys, thanks for taking my questions and congrats on the outperformance and the momentum. Wanted to talk about the content given the cross platform Light & Wonder strategy has been in place for a while now. I’m curious, are you seeing anything different just in terms of the velocity of slot content or innovation around that content? Thanks.
Josh Wilson: Yes. Thanks a lot, Aaron. So we’ve been — I mean, we’ve been working together since I think call it May, June of last year. It’s really when we started pulling our roadmaps together and really becoming one brain when it comes to thinking about thought machines. And this is — this has caused not only the innovation, but it has also caused the quality of roadmaps to continue improving across all of social. Light & Wonder’s made some amazing investments bringing in some like very, very top talent as Matt talked about yesterday. And the output that is coming and the ideas that are coming from them, but then also the combined group has just leveled up the content that we’re able to give to our players. Now we are not quite at the point where we’re seeing the speed of the content improved yet that is still coming.
But what we’re seeing is much more data being passed between the two companies that are helping us make better decisions every day, not only on the SciPlay side, but the Light & Wonder side. And this type of data is going to help us and help our monetization teams continue providing not only best-in-class monetization but best-in-class content to all of our users.
Aaron Lee: Great. That’s awesome. And then maybe I want to touch on the comment you made earlier about being able to convert three-year non-payers. Just curious how were you able to do that? Is it a function of more of your games or some of the predictive analytics you were talking about?
Josh Wilson: Yes. So I would say it’s a quality of everything. So our games are really their ecosystems that evolve over time. And just because the ecosystem as it sits today is not one that this player is willing to pay in. If we’re able to maintain them in that ecosystem, eventually, we release a feature that causes or drives them to increase their play. And in order to increase their play they need to purchase more time. And this is where we’re seeing the largest conversions come from is when we’re adding some type of new feature or some type of new engagement loop inside of the game that is causing that behavior. And then on top of that, the more and more we get, let’s call it, educated on our player behaviors, especially now that we’re combining our learnings from our ad tech side with our data science teams and our analytics team.
We’re really getting more and more fine-tuned about what each individual player is looking for inside of the game and our live ops monetization teams are really doing a fantastic job of adjusting the player behavior that is putting them in the situation where they need to buy in order to get through the meta and the game. So at the end of the day, it’s the quality of the people that are working for SciPlay that are making all of this happen.
Operator: Thank you. Our next question will be from Matthew Cost, Morgan Stanley. Please go ahead.
