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Aaron Zagha, CMO at Newton Baby, on the Honest Ecommerce podcast
Jul 28, 20256 min read

Attribution and Scaling Spend at Newton Baby with Aaron Zagha

Most ecommerce brands are measuring ad performance wrong, and it is costing them money they do not know they are spending. Aaron Zagha, CMO at Newton Baby, the largest direct-to-consumer company in the baby sleep category, has built his entire marketing operation around fixing that problem first before scaling a single dollar of spend.

How Newton Baby Grew From a Few Million to Category Leader

When Zagha began advising Newton Baby around 2018, the brand was three or four years old and doing a couple million dollars a year in revenue without much upward momentum. His first move was not a rebrand or a new channel. It was a critical look at the marketing channel mix. The changes he recommended worked well enough that the business started scaling, eventually justifying a full-time in-house CMO role, which he stepped into a year later.

His background matters here. Before ecommerce, Zagha worked in investment banking and internal M&A at The Wonderful Company, which owns Fiji Water, Teleflora, and the pistachio category. He landed in ecommerce almost by accident when Teleflora needed someone to run its international operations on short notice. That finance and statistics foundation became the lens through which he approaches every marketing decision.

Why Last-Click Attribution Fails Considered-Purchase Brands

The first two things Zagha teaches every new hire on his marketing team are statistical significance and attribution. He treats them as equally foundational. The reasoning is straightforward: if your team cannot identify a real winner from noise, they will optimize toward the wrong things and scale spend that does not actually drive revenue.

For Newton Baby, last-click attribution is essentially useless. Baby mattresses are considered purchases with multiple touchpoints. By the time a customer lands on the site, they have often already seen influencer content and done their research. The final click is rarely the moment of persuasion. Multi-touch attribution models help somewhat, but Zagha considers incrementality testing the gold standard, especially for evaluating whether a given channel is actually driving new orders or just getting credit for customers who would have bought anyway.

What a GeoLift Test Actually Is and When to Use It

Incrementality testing, specifically geo-lift testing, is the method Zagha uses to cut through attribution noise. The mechanics are straightforward: show an ad to one region of the country, withhold it from a comparable region, then measure the difference in revenue between the two. The key is selecting matched markets, meaning two geos that historically produce similar sales volumes. Los Angeles and New York might be a valid pair if their baseline revenue tracks closely in your Shopify data.

The distinction Zagha draws is causation versus correlation. Most multi-touch attribution and media mix modeling approaches are built on correlation, meaning a channel gets credit when a conversion happens near one of its touchpoints. Geo-lift testing shows whether removing that channel actually reduces orders. That is a fundamentally different and more reliable question to answer before scaling spend. Marketing mix modeling for DTC brands follows a similar logic, and Keen Decision Systems covers that distinction in depth in their episode on building flexibility into every marketing decision.

The Case for Diversifying Beyond Meta Before You Have To

Zagha's view on channel concentration is direct: most brands are still dangerously over-indexed on Meta and have not properly scaled alternatives. His argument is not that Meta is bad. It is that attribution methods that do not give credit to upper-funnel or less-measurable channels create a self-reinforcing blind spot. Brands underinvest in TikTok, Pinterest, and other channels partly because their measurement frameworks make those channels look like they are not working.

His counter-argument is simple. If you are running a well-produced video ad and the CPMs are comparable between Meta and TikTok, the performance should be comparable too. A person watching a video ad is watching a video ad. The platform matters less than the creative and the measurement. Geo-lift testing is the way to validate that, and once you have validated it, you have a channel you can throttle up when Meta's algorithm struggles, CPMs spike, or a platform faces regulatory risk.

When CRO Actually Makes Sense and When to Skip It

Zagha is candid about the limits of conversion rate optimization at most revenue levels. Newton Baby ran full site redesigns, tested radically different versions of their website, and still could not hit statistical significance. Part of that is because their customers arrive largely pre-sold, having already encountered influencer content and done comparison research before clicking through. The site is a checkout experience, not a discovery experience.

His rule of thumb is that brands under a few million in annual revenue should not expect A/B tests on purchase conversion to produce actionable results within a reasonable timeframe. By the time a test accumulates enough sessions to approach significance, the traffic composition has changed, the algorithm has shifted, and a holiday has come and gone. Instead, smaller brands should focus on qualitative signals: user testing, customer reviews, support ticket analysis, and honest feedback from real buyers. The episode on CRO testing mindset with Intelligems goes deeper on win rates and statistical significance thresholds that Zagha's framework echoes.

For brands that are at scale, Zagha's team uses an AI-based platform called Evolve AI, which operates differently from traditional A/B testing. Rather than running head-to-head tests to a definitive conclusion, it assembles pages dynamically from a set of building blocks, personalizing combinations based on customer signals like geography, device, and traffic source. Losing variants get turned off as they accumulate enough data to lose definitively, but the system never declares a single winner and stops. After about a year of use, Newton Baby is seeing marginal gains rather than dramatic lifts, but the ongoing personalization is producing value without requiring the statistical mass that traditional testing demands.

Key Lessons From This Episode

  • Attribution should be the first thing you teach new marketing hires, before creative strategy, before channel tactics. Bad attribution means every downstream decision is built on noise.
  • Geo-lift testing is the most reliable way to measure whether a channel is actually driving incremental revenue, not just claiming credit for purchases that would have happened anyway.
  • Last-click and even multi-touch attribution models fail for considered purchases because the touchpoint that drives the decision and the touchpoint that records the conversion are rarely the same.
  • CRO split testing only produces reliable results at meaningful traffic volumes. Brands under a few million in annual revenue are better served by qualitative research than by waiting for tests that may never hit significance.
  • Over-reliance on Meta is a strategic risk, not just a performance question. Brands that have not validated and scaled alternative channels have no room to maneuver when CPMs spike or platforms face disruption.
  • There is no set-it-and-forget-it in ecommerce. Every tool, including AI-driven optimization platforms, requires ongoing input and judgment from the marketing team.

Hear the full conversation with Aaron Zagha, including his take on creative testing, the role of statistics in building a marketing team, and how Newton Baby approaches the balance between polish and authenticity, in the complete episode and transcript below.

In This Conversation We Discuss:

  • [00:40] Intro
  • [01:13] Finding opportunity through internal mobility
  • [02:34] Building with seasoned tech entrepreneurs
  • [03:09] Keeping connections that open future doors
  • [03:53] Auditing channel mix to unlock growth
  • [04:50] Applying stats to improve ad performance
  • [05:54] Selling off-site and skewing test results
  • [08:00] Optimizing upstream metrics with caution
  • [09:00] Driving sales with offer and positioning
  • [10:19] Episode Sponsors: Electric Eye & Zamp
  • [12:44] Relying on incrementality to guide spend
  • [14:20] Backing bold ideas with leadership support
  • [15:31] Humanizing luxury to boost relatability
  • [17:01] Turning off losers without ending the test
  • [20:14] Feeding AI tools to stay effective
  • [21:11] Measuring performance with GeoLift tests

Resources:

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Transcript

Aaron Zagha

The key to any success in CRO is making sure that you design tests in a way that you can't hit significance, or just make the change and not care about it. 

Chase Clymer

Welcome to Honest Ecommerce, a podcast dedicated to cutting through the BS and finding actionable advice for online store owners. I'm your host, Chase Clymer. And I believe running a direct-to-consumer brand does not have to be complicated or a guessing game. 

On this podcast, we interview founders and experts who are putting in the work and creating  real results. 

I also share my own insights from running our top Shopify consultancy, Electric Eye. We cut the fluff in favor of facts to help you grow your Ecommerce business.

Let's get on with the show.

Chase Clymer

Hey everybody, welcome back to another episode of Honest Ecommerce. Today, I'm welcoming to show the CMO at Newton Baby, Aaron Zagha. How are you doing? 

Aaron Zagha

Good. How are you?  

Chase Clymer

I'm doing great. So Newton Baby, the largest direct consumer company in the baby sleep category, what is the day-to-day life for you as the chief marketing officer? 

Aaron Zagha

Yeah. So I oversee everything marketing-related, plus customer service. And I also work pretty closely on new product development. Yeah, we're a good-sized team, mostly Z2C, a little wholesale. 

Chase Clymer

Awesome. Well, take me back in time. How did you switch career paths from investment banking to ending up in the Ecommerce space? 

Aaron Zagha

Yeah. The long and the short of it is that I love LA. If I wanted to work in LA, I needed to figure out something other than investment banking. There's not much of it here. Plus, I didn't really like it all that much. So I ended up working in-house in an internal M&A Group at The Wonderful Company, which owns pistachios, all the pistachios in FIJI Water and Teleflora. And typically,  when the operating companies needed people really quick to fill in because the exec left.They barred people from the M&A Group. And so something came up with Teleflora to fill in the head of Ecommerce there left kind of suddenly. And I was the only one in the group that had previous tech startup experience. So they threw me into Teleflora to run things on an interim basis while they were recruited.

And it worked out pretty well. They ended up hiring a CMO for Teleflora US. But they offered for me to run Teleflora's international Ecommerce and realised that there wasn't much of a future in finance in LA. And then I did Ecommerce and tech. I pivoted career-wise towards that direction at that point. 

Chase Clymer

That's amazing. And so along the way, before you ended up at Newton Baby, any other notable brands?

Aaron Zagha

Yes, so Teleflora, selling flowers online, mostly in Australia, New Zealand, and the UK was the main one. But prior to that, I had worked on a tech startup called, well, first it was called Shop Squad and we pivoted to own that. This was back in 2010, 11, 12. It was a kind of social commerce, peer-to-peer live shopping platform that was founded by a bunch of big tech entrepreneurs.

Chase Clymer

That's amazing. And how did the Newton baby opportunity come to you? 

Aaron Zagha

Yes, I've been the founder for years. He had actually made a job offer when I was debating between Shop Squad and his company was for a different company. was running in time. And they're both startups. And the most important thing in a startup is making sure you get along with people. So I offered each of them to work for free for a week to figure out the fit piece. I ended up getting offers of both. 

I turned down my current boss and ended up taking the Shop Squad offer. But he always kept in touch and as both of our careers pivoted to Ecommerce, we stayed in touch. And he asked me to come aboard at Newton once they had gotten to a size that merited the CMO. 

Chase Clymer

Absolutely. And what year was that? 

Aaron Zagha

Oh that was like seven years ago. So 2018-19. I started advising first and then joined full-time as the in-house CMO a year later. 

Chase Clymer

What were some of those roles that he was looking for a position to be filled? What were you coming on board to take off of his plate? 

Aaron Zagha

Yes, they had a few of the common running things. Newton at that point was 3 or 4 years old. They're doing a couple million a year in sales, but really not scaling very quickly. And so at first, he was, I think, really looking for an outside opinion on how to scale. 

And I looked at his marketing channel mix and had some critiques and recommended some changes. And so those changes and recommendations I made ended up working pretty well and business started taking off  to the point that he could actually afford  a full-time in-house CMO. 

Chase Clymer

Absolutely. And now, did your background with finance and numbers help you with the marketing work that you helped build over there?

Aaron Zagha

Yeah. So my DNA is really a performance marketer. One of the things I love about Ecommerce these days is that everything's trackable and measurable. 

Chase Clymer

They say.  

Aaron Zagha

They say. Well, to some degree, you can get stats. 

Chase Clymer

It's infinitely better. You can be a naysayer. There's data and it works.  

Aaron Zagha

I think so. Certainly in the way that I run the business corroborates that, I think. But yeah, so my financial background and particular statistics really come in handy for Ecommerce. Understanding statistical significance is one of the most important concepts if you are testing, iterating, doing any kind of conversion rate optimization, really even just understanding ad performance. So I credit much of my success to having a financial background and specifically understanding statistics. 

Chase Clymer

Absolutely. For the listeners out there, right? I bump into this and I'm going to try to  ask this question in a way that isn't biased. Everybody wants to do conversion rate optimization, but  hitting statistical significance is hard to do until a certain size.  

I'm done with laying. It's very obvious what I think. But  what would you say to younger brands when they want to really get into split testing and CRO?

Aaron Zagha

Yeah, it's such a great point. I couldn't agree more wholeheartedly. And I mean, we're of a size and we never hit statistical significance. Like, you know, I think there's so many different levers  that either make it worthwhile or not worthwhile. Size is definitely one of them. The size of the swing you take is another one. And the way your business works. So it was really frustrating. I mean, we did very little CRO in the early days.

And even back then, we were probably of a size where it could have worked, but we do a lot of our selling off-site. So influencers on top of the funnel have always been huge for us. By the time someone comes to the site, they're pretty much decided. So we did full site redesigns, and completely different websites didn't hit significance. I mean, like crazy things. So it's not only, are you making a huge change that could actually change consumer behavior. 

It's also by the time someone comes to your site, are they influenceable or have they already decided? So there's so many different pieces of that puzzle. But yeah, I mean, the key to any success in CRO is making sure that you design tests in a way that you can't hit significance or just make the change and not care about it.  

You know, kind of like just see what happens because chances are you're not going to screw things up terribly if you put any thought into your site and, you know, kind of have experimented at all. But yeah, designing tests to make sure that they hit significance and using sample size calculators is really key if you want to take that statistical approach. 

Chase Clymer

Yeah. I have these conversations all the time. Getting to $1 million a year as an Ecommerce brand is no easy feat. The first million is the hardest. But even around there, unless you have a super low average order value, if you're doing conversion rate optimization, optimizing for the conversion, aka the purchase. 

That test is going to be running for weeks, if not months. Now your traffic has changed because Facebook's algorithm has changed, your marketing messages have changed, the holiday has changed. So sure, you can run a split test and it'll hit stat sick at some point. But all these other factors changed and now it doesn't. Now you could argue it's invalidated. 

Aaron Zagha

100%. I mean, there's so many pieces to that. And so then do you go up the funnel to see how many data points you go to add to cart? Do you go to minimizing bounces? But do those even correlate with purchases? Maybe, maybe not. 

Chase Clymer

I just say listen to smart people, go do user tests, see. Ask your customers what they don't like. You can mine your reviews, you can mine your customer support tickets. All that stuff is valid. Do you need to run a test? Not at your size.  

Wait, I'd say 5 million years. You can start to get a test result in a week. But 9 of the tests are going to be meaningless. That one test though. That one's awesome. 

Aaron Zagha

I totally agree. I mean, you can even run your tests in your ads maybe. Somewhere else where you'll get the significance faster. But I totally agree. If you're not a couple million years in revenue, there's no way. 

Chase Clymer

Have they already made that decision to buy before they even hit the website? And if you have an amazing offer and product and positioning with your advertising, like one, you're probably just turning $1 into $5 left hand over fist. 

But like, two, yeah, then your experience on site doesn't matter quite as much. I've seen dogshit sites sell $10 million a year because the product, the positioning, the offer, and who they're talking to in the marketplace just all resonated. 

Aaron Zagha

That's right. Think about DRTV in the old days, right? There wasn't a website. People just like, so if your ad is good, people just call and order over the phone. There was no website. 

Chase Clymer

Absolutely. 

Aaron Zagha

It didn't even matter. 

Chase Clymer

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Chase Clymer

Alright. So I love talking to CRO, but we're not here to talk about that. We're here to talk  about Newton Baby and what you've done there. So one of the things that I know about your role is you  help educate and hire new team members.  

What's one of the first things that you discuss with your team members? 

Aaron Zagha

I'm not going to go right back to it. But it is of statistical significance. There are two things. Number one, I make sure that everyone understands statistics. Chances are, if they're on the marketing team, they're going to need to iterate whether it's on ad creative or email subject lines, whatever it is. They're going to need to understand basically just how to judge winners, how to pick winners. And it's not always intuitive.

I want to make sure that they're not making decisions based on bad signs. That's one thing. But the second thing is attribution. And it's something that I talk about all day, all the time. But making sure that you know how to judge a winner and that you're using the right data to do that. And it's not the last click for us. If you have a considered purchase where there are multiple touch points, it's definitely not going to be the last click. It's not going to be even a multi-touch attribution for us. And it's not even medium and spotty either. For us, almost always the gold standard at this point is incrementality testing. And so basically, just making sure that my team understands all the different types of attribution, what to use when, what is reliable when,  is the second thing that we talk about after statistics. 

Chase Clymer

Yeah. And I think that just teaching them about statistics and about iterating that almost gives them the freedom to fail. It's like, all right. It wasn't wrong. You just learned which one won't work. And it helps them shift their mindset.  

Aaron Zagha

There's a lot of companies and I've been thinking about this more and more that give out awards for the worst failures. But you win something for a big, and it's really just giving that permission to take the swings and take chances.

I think it's super important. I have a marketing scrum call every Monday and my whole team's on it with the CEO also. And 10 times now, I've brought up points or case studies or whatever about companies that made ugly ads and how successful they've been. The CEO has a meltdown every time I say, we're not making ugly ads. I don't actually mean it doesn't have to be ugly. It has to be different. You need to take the chance or you're never gonna have a breakout winner.

Chase Clymer

No, no, no. 

Aaron Zagha

And giving them that permission to fail, yeah. And take the series. 

Chase Clymer

It goes back to it. It isn't about the polish. I think that's part of Apple's brand. But it's beyond the polish of their brand. Their positioning, their copy. A thousand songs in your pocket was an insane tagline back in the day. And they could have done that with a shittier thing and it still would have sold. 

Aaron Zagha

Yeah. And again, good luck trying to be Apple. Don't. Oh, my.

Chase Clymer

Yeah, that's my favorite thing. Obviously, I have an agency and we're always talking. All right, we're talking about redesigning a website or doing a landing page strategy. And we're like, all right, well, send us over some of your competitions. And we get Nike and I'm like, this isn't your competition. 

Aaron Zagha

Not your competition. 

Chase Clymer

These are household names. Grandparents with dementia remember these brands more than their children at times. What are you talking about? 

Aaron Zagha

Exactly. Unless you're super luxury and the highest price point. Forget about Polish. It's not going to sell. We are luxury. It's kind of ironic. We are at that end of the spectrum for baby stuff. But we're selling baby stuff. 

We sell things that get cooped on all day. So humanizing that luxury is a key to our success also. so thankfully, because of the category, we do have permission to go unpolished even though we're at the expensive range of pricing. 

Chase Clymer

Absolutely. Maybe this is a question in two parts. There's a lot of new technology coming out these days making things “easier”, obviously, AI and all the stuff it can do for you. But still today. What do you think is one of the hardest things that brands have to tackle today in the marketing world? 

Aaron Zagha

I mean I think creativity is still probably the hardest. Let's get specific. If you're active on TikTok, you have to be very creative. It's crazy. And creativity is a thing that isn't as measurable. By definition, creativity is like that. It's just a tech science measurement. There are tools that do it with AI and whatever else.

You still have to come up with it and have to generate it. And so if you're selling a toaster that sits on counters, maybe you can AI generate 7,000 different images. But we sell things that are babies and AI is notoriously the worst at generating babies. 

Chase Clymer

Yeah. 

Aaron Zagha

We're messing around with it and we use a ton of AI across all kinds of applications. But creativity is so hard and it really isn't there yet from the Gen AI perspective. It's getting there maybe next year. I don't know. Creative generation and testing is challenging no matter what. If you're scaled up, and especially on TikTok.  

Chase Clymer

Now I'm going to ask you another question. So you said you're using it all over the place. What would you say is a unique area where you guys have been using AI that maybe a brand hasn't thought of yet? 

Aaron Zagha

So I think one of the tools that we use is an AI-based CRO platform where we don't do A/B tests anymore. Ironic given the start of this conversation. But it's called Evolve AI and it's awesome.  Essentially, you feed it a building blocks column, which maybe in another world would be A/B tests, but you give them a bunch of different options and they use every data point they have based on the customer. 

So, you know, source, path, geo, whatever else to then assemble the formula of building blocks of the site to maximize conversion rate. So, you'll never see the same homepage twice, for example. Like if you haven't converted on it the first time, they're gonna show you something else the second time if they recognize you. 

And what happens is they turn off losing variants as things definitively lose and hit significance. But it's not an A/B test, like it never concludes. It's always iterating based on however much data you can collect in real time. 

So it's interesting in that like, it's not like, this cartridge went out over this cartridge. Both cartridges are still alive. It's just that maybe someone in Miami on mobile, this one works better. And on a desktop in LA, this one works better. 

Chase Clymer

Yeah. 

Aaron Zagha

So that's a really interesting machine learning type AI tool that we're using. It still hasn't found too many standout, slam dunk, statistical winners. But we are seeing some marginal gains there. And I haven't heard that much about using this yet.

Chase Clymer

How long have you been using that platform now? 

Aaron Zagha

That's probably been about a year.  

Chase Clymer

Oh yeah. Interesting. And you guys are still on Shopify on the backend though? 

Aaron Zagha

Yeah. 

Chase Clymer

Oh yeah. I'm sure there's going to be some people that look into that and explore it. But I do want to ask, it still doesn't sound like a set it and forget it solution. You're feeding it building blocks, as you said. 

Aaron Zagha

Yeah. It also makes suggestions for things that you should test. So because it's basically observing all the behavior on your site, it'll notice friction points and say, oh, you know, there's a fall off on this page. You should test something else. And it is built in LLM. So it'll suggest, you know, a new copy to test or whatever else. So it will push suggestions. Most of the time we don't take them. Make them ourselves. 

Chase Clymer

Absolutely. 

Aaron Zagha

Or we wrote the copy ourselves or whatever else. So you do constantly have to feed it. There's no set it and forget it anywhere in Ecommerce.

Chase Clymer

That’s what I wanted to hear. Thank you so much. Now, Aaron, is there anything I didn't ask you about that you think would resonate with our audience today? 

Aaron Zagha

I think the world has talked enough about tariffs and how people are dealing with them.  

Chase Clymer

We have a whole episode on it that's going to come out probably next week. 

Aaron Zagha

I think one other thing which I'm still kind of astounded by is that people probably still haven't scaled other channels enough and are still shockingly overlying on Meta. And it's interesting. I just got off a call today with another brand who doesn't run TikTok. And yeah, TikTok might be banned. Who knows? I don't know. So then maybe you should be scaled on Pinterest. And  generally, you know, I think the reason people haven't scaled is because they're on attribution methods that don't give credit to those other channels or they don't measure them well.  

If you run a decent TikTok campaign, I'd be shocked if at the same CPM, it doesn't perform just as well as Meta. If you're watching a video ad, you're watching a video ad, it doesn't really matter what platform you're on. If the CPMs are the same, it should perform the same. You just need to measure it, you know, properly and compare it properly, typically with the GeoLift test.  

But given how volatile Facebook's algorithm has been lately, given how, you know, the chance of TikTok getting banned or whatever else. It's really important to be diversified across channels and be ready to throttle one up, throttle one down as one gets banned or CPM spike or the algorithm fails. 

Chase Clymer

Absolutely. And you mentioned something there. Can you dumb down what a geolift test is for the listeners?  

Aaron Zagha

Yeah. So I'm a huge fan of incrementality testing, really making sure that any ad actually drives incremental orders. And the way to do that is you show part of the country and add, you don't show it to the other part of the country and you see how much revenue lift is. 

You have to make sure that the two Geos are comparable. It's called matching markets. So if LA and New York typically have the same number of sales for you and your Shopify, then they're good markets to match. And so you show ads in one, you don't show them in the other. And you see how the revenue changes from one versus the other. And it's really the gold standard.

It's causation, not correlations. A lot of multi-touch marketing or medium mixed modeling  attribution is all correlation. And we can get into why that's problematic. But yeah, wherever possible, geolift testing, incrementality testing is the way to go. 

Chase Clymer

Absolutely, Aaron. I'm definitely going to hit you up in a couple of months. We're going to deep dive into some of these incrementality debates and really just nerd out on it. But for the folks that are listening, obviously, Newton Baby has some amazing products. If they want to go check them out, what should they do? 

Aaron Zagha

NewtonBaby.com.    

Chase Clymer

Makes it easy. Aaron, thank you so much. 

Aaron Zagha

Very easy.  

Chase Clymer

We can't thank our guests enough for coming on the show and sharing their knowledge and journey with us. We've got a lot to think about and potentially add into our own business. You can find all the links in the show notes. 

You can subscribe to the newsletter at https://honestecommerce.com/ to get each episode delivered right to your inbox. 

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Lastly, if you're a store owner looking for an amazing partner to help get your Shopify store to the next level, reach out to Electric Eye at electriceye.io/connect.

Until next time!