lead a business and you're doing everything from, like, you know, sitting in a, I was, I can't say
“the client's name, but I was, you know, in a hard had in an orange suit, counting, you know, doing”
some more of like that type of work. And then you're in, like, a huge board room with these, like, super high up CEOs. And it was just a really great training ground for what comes after that. From there, I went on to, I actually joined meta in between my, so that was like, I guess the, the start into my, my e-commerce journey. I was in the sales ops and planning group, and actually was on the SMB teams at the small medium business team, where I was seeing all these
cool up-and-coming brands, like, in the disruptors, seeing, like, what their spend looked like, quarter by quarter, understanding, like, where they were investing their money and dollars on
meta. And very quickly, I, like, would always be looking up these brands and, like, I got to go
get on the other side of this. I need to go join a real brand and be a part of, like, this rocket ship that I see on the other side in the data. And so, um, yeah, I joined, um, I actually joined
“Ruggable as an early employee, so the machine-washable, Rug brand. I was one of the first 25 employees”
there, and ran all of our marketing data in analytics. And I always credit, like, that role to be in the training ground that I needed to be successful in an e-commerce company. And I'm happy to, like, dive in more there. But when I first joined the team was probably, like, four or five folks on the marketing team. And my whole goal was, like, build out the data warehouse to have the data to support all of our marketing leadership. So I had to, like, fund, I had no e-commerce
background other than my, my time at meta and had to, like, really fundamentally understand, like, how does paid media work? How does email and retention work? How does brand, you know, operate? What type of KPIs with the influencer team looking out of what kind of data data do they need to make the decisions that they need to make? And, like, how does all that come together in MTA and all the other attribution models that we were looking at? So, um, it was just, like, such a
good training ground for understanding e-commerce and has was, I always say that was, like, the best
role that someone could do if they want to get into it and then have, like, a little bit of that background. You were seeing all these brands through your role at meta, you were seeing a presumed, like, tons of different categories, tons of different products. It sounds like you were working on, like, a sub collection of brands that were, that were scaling. So you're seeing these, like,
“a lot of different brands have this, like, very interesting growth trajectory, like, what?”
Like, what was your take on that? Like, what made you excited about that? And, like, ultimately, what, like, how quickly and what made you know that you wanted to be on that side of the equation and not unlike the ad tech side? Super quickly. I was only at meta for about five months. And, you know, at the time early on in my career, like, your super nervous to make a quick jump for you like, oh, and you don't work at every brand, but I go to for, for at least two years, make sure I
get the experience. But I was very certain after I would say at least two, two and a half months that the brand world was much more interesting. I wanted to be, you know, the one on the other side, making those decisions, pulling those strings and seeing how to actually grow that brand all the way through. I think another big piece of it, too, is like, when you are in that consulting world, you're obviously working on so many different clients. And you do this big project,
you complete the project, you do the readout. And then you never actually know where the results
go from there. If the project was implemented, what was the actual impact from that project that you spent? God knows how many hours on. And so that was another thing even working on the meta sides, you know, you're still working across a number of different brands, different categories. And so I was really excited to see a brand from start to finish and not be a part, you know, just splitting my time across so many different things. Yeah, that makes sense. And it's kind of the
same with meta, right? Like, your reps can give you the advice, but they can't actually they're not going to go by the media. They can actually, you know, force your media buyer to go and do the things that that you're recommending that they do. So you just want to, you want it more, kind of more A to Z control over the outcome. Yeah, exactly. And the bigger picture, too, I think is was so interesting to me, especially with my operations background and more of that engineering
side. You know, there's one side of the business that focuses so much on marketing and you want to grow. But there's a whole other side of like how do we actually keep up with that demand? How do we make sure the margins are right? How do we, you know, really make a business that is scalable? And so I was excited to build out that other side of the, yeah, the business. Motion just dropped their 2026 creative benchmarks report and it's been getting shared everywhere.
Slack channels, LinkedIn, Twitter, sharing it in our private group chats. And it's great because everybody's been asking the same four questions forever. What is normal? How many ads should be actually be shipping? What is a healthy hit rate in which formats really win? The report