Got it. Understood. And just like all these, like, little lessons, of things to and not to do when starting a company to, to to help me better understand what I ne to do. It also gave me an appreciation for failing and making mistakes. I understood that the only way to be successful is to mess up. If you don’t mess up, you’ll never be successful. So, I’ve embrac messing up. I embrace making rcs data mistakes. It’s honestly my favorite thing to do when something goes wrong, I know. Great, now I know what to do to make it go right. failure mistakes. Like, do you ever intentionally do experimentation? Because, you know, it’s funny, when I see your name, I can’t help AB. I just think about a/b testing right away.
Like, this should. AB Lieberman: Be the guy podcasts are relatively easy to produce that is. Daniel Burstein: A/B testing. It is in his name. So I know that when we’re talking about something like TikTok or influencer marketing, it’s not the same. Like a landing page or an email or an ad where it’s easy to ab test and have, you know, statistical significance, some of these things. But still, it seems like these, these kind of new, platforms are a great way to experiment and kind of get a sense of what’s working. So. So how do you experiment with influencer marketing, with social mia marketing? And do you do that at all? AB Lieberman: Yeah, absolutely. We do. I would say every project is an experimentation. So, we learn a lot from every, every, every time. The more projects we do, the more we’re learning.
So we, we see something doesn’t work. A few times uae phone number we start doing something different. We see it does work a few times, start implementing that in our projects.
And so we’re constantly learning, we’re constantly learning post project. We’re also constantly learning Mid projects. So we’ll assess how projects are performing mid mid project and then tweak them and maybe switch out influencers, switch up the content style of the marketing concept.
The timing, the, the spread, all the different aspects of the campaign. We’ll sometimes change them up during the campaign or we’ll see what work and what didn’t work after the campaign and then, implement them into our future campaigns. So every project we’re doing is constant experimentation and constant ab testing, basically.
Daniel Burstein: Can you think of the most surprising thing you learn from an experiment from maybe test? Because I love when I interview experimenters, A-B testers, it’s always, you know, not the thing they think would work.