This is Week 2 of Marketing Analytics and we have with us Monica again. Monica, this week I'll be talking about A/B testing and ANOVA. Maybe you could give some examples about how you might use that in the corporate environment. Yes. So A/B testing is the bread and butter today in what I do. So as you know, I'm money innovation leader and part of my role is helping our teams to launch their startups. So all the teams that are working on launching startups use A/B testing all the time. Let me just give you two examples. I don't know if you have heard of these brands but these are brands that are public right now and I hope you all buy. So the first one is Zevo, is a natural insecticide repellent. The other one that I want to address is called Gemz is a waterless shampoo. So we use A/B testing in Zevo to understand inner advertising if real bugs or illustration of bugs would be more effective with consumers. Will they click more? Will they convert more and buy the product? Guess what I found, real bugs are much better. In our advertising, we did A/B testing with that to promote and to understand how the demo of the product works. For Gemz, in the website, this is a beauty brand. So is a hair care that it comes in with waterless that you can pick and choose the collection that you want. So today, you can shower with one scent, tomorrow with another one. When we were launching the product, we want to understand if ratings and reviews were going to impact the conversion rate that we had on the website. So we had over 140 ratings with 4.8 stars. Should be included this in the landing page that we have or should it not be included on it? So we did A/B testing and our conversion rates came higher after we included the ratings and review with the consumers. It might sound as yes, you should have done this anyway because you had great ratings and reviews, but we didn't know if it was worthwhile making that change and how much it will impact the conversion rate. Right. So those are some great examples. I really like the example about the, was it Zevo? Zevo. Zevo, the insecticide. I can see the opposite hypothesis where real bugs might be so scary that people just click away from the website. So that's a fascinating insight. That's the type of things you could do with A/B testing and ANOVA, and these are the topics we'll be covering this week.