
We all trust data to predict customer behavior…but what if the numbers are straight up lying? In this episode, Nate and Sarah dive deep into why customers often defy what metrics predict and explore the hidden emotional and psychological...
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Sarah Levinger
Foreign.
Nate Legos
Welcome back to Brain Driven Brands, hosted by the powerful Sarah Levinger.
Sarah Levinger
The powerful. I have never once been called powerful. I'm five foot two. Let's go.
Nate Legos
There you go. Yeah, but it's about the brain. Isn't that what this podcast is about?
Sarah Levinger
It's about the brain, right? We should talk about the brain in an episode. One of these. I don't think I've ever done a full episode on the brain. Do you want to learn about the brain? It's fascinating. It is terrifying. You don't want to know what's happening up in there. We just keep it quiet.
Nate Legos
I got a D in human biology my sophomore year of college.
Sarah Levinger
How do you get a D in human biology? It's literally just like regurgitation.
Nate Legos
I didn't go to class.
Sarah Levinger
I worry about that. I worry about that sometimes.
Nate Legos
Fine. I graduated.
Sarah Levinger
Did you, though? That's.
Nate Legos
No one's ever asked. It doesn't matter.
Sarah Levinger
Let's. Let's pretend that Sarah graduated from college. I did not. So it's fine. I just taught myself is the problem. It only took me 10.
Nate Legos
You're smarter than me, though. You learned more than me. Really? Does.
Sarah Levinger
It all comes down to how you learn and how easily you can retain information. That's something my husband tells me all the time. He's like, you're really good at synthesizing. Like, you can suck information out of things. Keep it inside your head and recall it right when you need to cut me down. Yeah, I'm kidding. I never cut him down. He's lovable.
Nate Legos
Well, like, school only teaches you to memorize shit.
Sarah Levinger
I know.
Nate Legos
And we're good and like, that. We might cut out this whole thing, but I'm hot on it lately. I had shitty grades in college and, like, I'd like people that would give me about it, like friends. And I was like, hey, guys, why aren't you rich now? Because I'm rich.
Sarah Levinger
You can regurgitate, but you can't make money.
Nate Legos
You had a 4.0 and I had a 2.4. So, like, who's winning?
Sarah Levinger
Well, it depends on what juice you drank. Some. Some of their parents told them, you need to go to college, you got to get good grades, you need to get a care out of college. Like, that's the rhetoric that they were told. I was told the same thing. I just didn't believe it.
Nate Legos
Right. Yeah. Immediately was like, why don't you start working when I'm done with this no party.
Sarah Levinger
I was like, wait a minute. I could just go get money. I Don't have to, like, spend money to make money. Okay. I'm just gonna go get some money.
Nate Legos
Yeah. Why don't I just party for four and a half years and then I'll get serious about it?
Sarah Levinger
Oh, my God, you're so funny. I didn't even party. Sarah was not cool at all. I didn't have a lot of college friends. I literally just went to work. I had, like, four jobs and I was making money, but I didn't do anything with it. I just had.
Nate Legos
It should have.
Sarah Levinger
That's my life. Okay, on to today's episode, though. We'll just, like, we'll talk about.
Nate Legos
Is it not about me shitting on my college friends?
Sarah Levinger
I mean, it's not about Sarah and Nate history. It's actually about an illusion. We're going to talk about an illusion today. Are you ready? Because we just talked about this briefly on the last episode, which is a good one. Go listen to that one first because it's helpful. This one, though, we're going to be talking about the illusion of data, specifically why customers don't behave the way the numbers predict. Oh, okay. Yeah, yeah. We're going to come at this from a very interesting angle because I really do think that, like, marketers trust the data, but what happens when, like, your best performing whatever is just lying to you? Right? It should be working is what this comes down to. It should be working, but it's not. Our customers told us they wanted blue sweatshirts. We made them. They didn't buy them. Why did that happen? This happens all the time in every single area of marketing, in every single area of business. Our customers said xyz. We gave them xyz. Why the hell aren't they purchasing? That's what we're going to talk about today.
Nate Legos
Let's do it. I love it.
Sarah Levinger
Here's the setting, though, because I want to set this up mostly because I think the role of data has changed a lot. We used to just, like, track shit that it was like, okay, we just need to know basically kind of what's happening. Give us a general picture of it. And then we kind of know where to go specifically because we used to have retargeting. So as long as the top of funnel ad was working, we know that if we target that person with a retargeting ad, they should buy. And most of the time they did. Because of the way Facebook was set up, because of how many privacy laws they were breaking at the time and because of, like, exactly, allegedly. And because of how many ways, like, Customers were seeing our marketing efforts come into their worldview. Right. They were just coming across our screen at very specific times. Now, the toughest part about this is data obviously helps us make very informed decisions, but customer behavior kind of defies those a little bit. And I think. I think it's because data predicts what they think will happen again, not necessarily what will happen again. Right. So historically, if we look back at, like, what the data is, and I totally have my notes on this, like, I did prep work on this because I found this really interesting. So historically, I think we became data reliant because we have the rise of analytics, AI and predictive models. I don't think if that SaaS had come into the industry, I don't think we'd be so reliant on the data.
Nate Legos
Can I tell you, like, I think if we could take marketers from 1984 and just teleport them to today, they would have been so much better off missing the last 10 years.
Sarah Levinger
Yes.
Nate Legos
Because in the last 10 years, I think we've all gotten so lazy and so reliant on numbers and dashboards that we completely take out the human element. And that's kind of the whole point of this podcast.
Sarah Levinger
Exactly.
Nate Legos
Crazy how lost some marketers get without their numbers.
Sarah Levinger
Yes. Well, and that's just. It is. I found that we have become almost like. It's like a pacifier.
Nate Legos
Yeah.
Sarah Levinger
It feels good to look into the numbers because at least I'm doing something right now. Again, I'm not trying to, like, dig on all you marketers that are looking at your numbers. The numbers are important to a point, because they. Again, we talked about this before. They tell you something is happening, but they don't tell you why or what's going to happen next. And I think the only way that you're able to predict that is to figure out what people are doing emotionally, psychologically, and with their own identities outside side of your industry and your product, your market. Because the numbers can't really account for, like, subconscious motivators. They can't. They can't account at all for cultural shifts or for cultural movements or even emotional drivers. They can't tell you any of that.
Nate Legos
Well, and I think, like, the numbers are obviously important. I've spreadsheets that we track everything in that I look at every day. But those numbers are worthless if you don't have someone with a good brain interpreting them and then coming up with a game plan on them.
Sarah Levinger
Yes.
Nate Legos
Because I think, like, so many times people are looking at one or two Data points, not in context of the time of year, what the other numbers say, what their customers are saying, you know, whether it's a holiday or an evergreen period, whatever it is. Like, we're just missing so much information, but we think we have it all because our spreadsheet has 18 rows on it that we're. Look at all the information we have. That's a fraction of it.
Sarah Levinger
It's just a snapshot. It's just like a blip in the corner. Especially because for you guys, you're in the watch industry and you sell to a very specific type of customer and consumer. However, you're attached to jewelry, luxury, any sort of like, extracurricular or I don't know what you'd call it, like, treat me kind of a purchase. So golf clubs, you technically compete with those.
Nate Legos
Yep.
Sarah Levinger
Right? Yeah, yeah, we talk about all the.
Nate Legos
Yeah. Like, my competitors are bottles of whiskey, wallets, dress shirts, golf clubs, grills. Because I. I compete in, like, the gifts for guys space most commonly.
Sarah Levinger
Oh, my gosh.
Nate Legos
And yeah, my spreadsheets can't tell me anything to do it. Yes.
Sarah Levinger
And this is for every single industry on the planet. Like, if you sell supplements, you don't compete with other supplement brands. You also compete with anybody that sells some sort of a pill that does the same thing that you do. It's a different form, it's a different medium, but it solves the same problem. You also compete with milk this month, with bread this month. You compete with, like, shoes for my kids this month because I could spend $30 on supplements or I can buy them shoes.
Nate Legos
Yep.
Sarah Levinger
Especially as a mom. Like, you compete with a lot of other things in the household that are attached to grocery or household items. That's what you compete with. So again, don't, don't rely on the data to tell you exactly what's going to happen, because you just can't know without studying what the consumers are doing. So interestingly enough, I think it'd be a fascinating segment to go and talk about for OG in particular. If we're not going to watch the data, what are you guys tracking behaviorally that you're going to use for, like, your 2025 marketing strategies, if. If anything at all. And then I have ideas if you don't track anything yet.
Nate Legos
Great. So what we look at pretty consistently is what people are buying, what they're buying together, and what they're buying in second and third and fourth purchases.
Sarah Levinger
Okay, so you're tracking SKU level behavior.
Nate Legos
Yeah, that's pretty much it.
Sarah Levinger
Okay. Nothing Else, not really. It's okay if you don't. I have so many ideas. Okay, so this is something that I'm going to start tracking at Tether. So this is a new product, like plug that I probably shouldn't be telling you about, but I'm telling you about anyway.
Nate Legos
That's right.
Sarah Levinger
Mostly because it's not developed yet. Sarah needs to take a minute to, like, develop new products. So one of the things that I'm going to be starting to track over at Tether is I'm going to start doing consumer behavior reports based on industry. So for you guys, you would get a watch report, but you'd also get a jewelry report. And you'd get like, high influence extracurricular purchases report. So you'd get one that's like, here's everything that's happening in golf. Here's everything that's happening. Whiskey. Here's everything that's happening in 3D printers. Here's everything that's happening. You know, we basically just get a range. Here's all the products that are currently trending up in the extracurricular purchase category, mostly so that you can track and see what are people purchasing more of. And how can we kind of attach ourselves to these particular cultural movements to boost brand affinity within the entire category. Not just watches, because you don't keep just the watches.
Nate Legos
All right, so I don't track anything like crazy like that, but we are influenced by it. Like, started us on the whole, like, price testing journey a couple of years ago. Was this kind of concept of like, personal price anchors.
Sarah Levinger
Yes.
Nate Legos
So like, I looked at grocery prices two years ago, and like, me and my wife keep, like a detailed budget spreadsheets. Like, I can look back at years ago, we were spending 500amonth on groceries.
Sarah Levinger
Track it that closely.
Nate Legos
Yeah, she does. Yeah.
Sarah Levinger
She was in finance, so if I remember correct.
Nate Legos
Yeah, she makes sense.
Sarah Levinger
Yeah. Okay.
Nate Legos
Yeah. And now she stays home and makes sure I don't spend all the money. But, like, we can say, like, oh, cool, like, our grocery bill doubled in two years.
Sarah Levinger
Yeah.
Nate Legos
So now. And like, I mean, a lot more steak than I used to. So that's. But like, obviously grocery prices have been up a ton. And we looked at it, like, all right, if 500 bucks used to get someone a month of groceries, now it gets them two weeks of groceries. That means our $500 watch isn't as big a commitment as it used to be.
Sarah Levinger
Yeah.
Nate Legos
Because you're not blowing your monthly grocery budget. You're only blowing half of it.
Sarah Levinger
Like, two weeks you're only bought two of it.
Nate Legos
And like, I think the whole like personal price anchor thing matters a lot. And when we're in an inflationary period like we've been in, I think a lot of brands weren't factoring that in and CAC was going up and all of their costs were getting expensive. But they never raised or tested the prices of their own products to figure out where the market was at prices.
Sarah Levinger
Or in particular choice architecture. How you offer these, these products is going to change how people actually purchase them from you. What you say while you're in that like, purchasing, like role is going to directly affect how much they purchase from you and when they purchase. All kinds of crazy stuff, which we've talked about many, many times on this podcast. But I think it'd be fascinating to start tracking industries. Sister industries is what I call outside of your own. Just to see what's happening and how can we compete with those products that are already kind of like mulling over in their head.
Nate Legos
I bet we don't cover some stuff that's super unique because there are times now like we had a great year, we didn't struggle, but like there are weeks or months during a business where you're like performance just a little bit soft.
Sarah Levinger
Yeah.
Nate Legos
Not really sure why. Not really sure what's going on. And like for us those periods have not been so bad. It's like we just stick to our playbook and keep it going. But it'd be interesting to be like, yeah, all of whiskey's down this month.
Sarah Levinger
Yes.
Nate Legos
Or all of us.
Sarah Levinger
Yeah.
Nate Legos
Men's unnecessary purchasers are down. It's like, oh, well that's super interesting.
Sarah Levinger
Yes. Well, I, I, it's tied to the culture. So again, if you have one athlete who has decided to go off of alcohol and he no longer drinks whiskey, all of his followers are now going to stop drinking whiskey. Right. Like they're going to decrease their consumption just based upon their affinity to him. Their decrease in whiskey consumption might decrease their consumption of whiskey based watches.
Nate Legos
Yeah.
Sarah Levinger
As well. That's so tracking.
Nate Legos
Sending me those reports, huh?
Sarah Levinger
That's my goal. That's my goal is to track all of this and like figure out what's happening in the industries. So tracking sister industries I think is very important. That's like key number one. If you take anything from this particular like podcast that started on a different topic and is now on another one, data can't tell you the why or what's going to happen next. It can only tell you that something is happening. And if you're going to track any data, I think tracking SKU level data is fascinating. That is a good call out to try and track what people are doing behaviorally with your products, coupling them together or purchasing them apart. But most of all, I think it's going to be monumentally important to track what's happening outside of your own industry.
Nate Legos
Yeah.
Sarah Levinger
And what you're attached to.
Nate Legos
Well. And like, I think that's something that people get wrong in with. The concept of marketing funnels in general is like, hey, your customer does not know they are in your funnel right now. They don't know they're just a person.
Sarah Levinger
Good call. Doing life, Doing the life.
Nate Legos
And like, 18 brands think they're only in their funnel right now. And it's like, no, there's a lot of shit going on that you have no clue about. And you're like, why isn't the funnel working? The person's at level two and it's like, that person, they don't know they're wife this week. Like, they have no clue where they are.
Sarah Levinger
Like, they don't know they're in your funnel. Yeah, people, brands, marketers, they don't know they're in your funnel. They also don't know what step to go next. Like, they don't know where to go. Right. Which is just funny because, man, I think. I think we got so stuck on this idea of the funnel that we just figured, this is how it works. This is how behavior works. This is how people purchase things. And as I've said many, many times, no, most of the time they're purchasing because it's raining and it's a Tuesday. Like, they're not purchasing because you brought them to this specific place and now this is where they're going to purchase. It just, it's unfortunately very emotionally random. There's two things that are usually driving human behavior. Right. One is identity, which is focused on worldview, how you were parented, all those sorts of things that we talk a lot about in this podcast. The second is emotional pressure. Emotional pressure is almost always temporary and influenced by very strange things like yellow cans or like plants in the background or like blue buttons. You know, there's random things that emotional pressure does to consumption behavior, but that's what we. We're like, heavily relying on that to grow brands. And I'm like, please don't do that, don't do that. Please don't do that.
Nate Legos
Can we talk about why the data doesn't extrapolate how people think it will?
Sarah Levinger
Ooh, okay, I'm ready.
Nate Legos
Because I think. I don't know what your research pulled, but I think this is something that marketers and brands do and they don't know they're doing it.
Sarah Levinger
Okay.
Nate Legos
And it creates a lot of confusion. So, like, let's say I run at $150 CAC. That's good for us. That's our, like, limit of, like, cool. I can spend that. Then we launch a new ad from Sarah, or we find some new landing page copy that crushes, and naturally our CAC falls to 140.
Sarah Levinger
Okay.
Nate Legos
We don't just hit pause and say, like, cool, our CAC140. Now we spend more money.
Sarah Levinger
Yeah.
Nate Legos
And we grow the business and, like, we spend until we drive that efficiency back down to 1:50. And I think it's something that's super misunderstood. This comes up a lot when doing, like, CRO kind of work because the whole goal is to increase conversion rate. But then once you get that increase, cat goes down. You're like, let's spend more and more and more. Conversion rate comes back down, cat goes back up. And you can look at the end of the year and be like, our conversion rate's the same year over year. But we did all this CRO work. What happened? And it's like, no, no, no. Your. Your conversion rate's the same, but you doubled the amount of people that came to your website. That's a huge win.
Sarah Levinger
Yes.
Nate Legos
And I don't think people understand the revenue.
Sarah Levinger
Yes, you should be seeing revenue increases. Like, again, this is an all boats rise conversation. You can track these teeny tiny metrics if you really, really want to. And this is, again, we could just dive back into the metrics conversation. But overall, what I'm trying to do is grow a brand. Grow a brand, not an ad account. I'm not trying to grow an ad account. I'm trying to grow a brand. It's very different conversation. Very, very, very different strategy. Most people are trying to grow an ad account. Yeah, I'm going to die. I'm just going to die every day because I'm like, why are you doing that? Please stop. It's fine. It's going to be fine. So again, the brands I work with, Nate and I come over and have this cool conversation about, like, are you going to grow a brand or an ad account? But yeah, at the end of the.
Nate Legos
Day, let me ask you one more question about, like, how people look at and use all these quantitative data things that we're talking about. You're going to Feel like anything more than three months ago is completely irrelevant.
Sarah Levinger
Oh, okay, okay.
Nate Legos
Anything like in the quantitative data.
Sarah Levinger
Okay, quantitative data? No. I would say no. Mostly because consumption behavior changes about every 12 weeks, depending on the season, depending on the product, depending on the industry. Right. Now, there's some things that have a very distinct seasonality to them. For instance, you know that Halloween store that pops up every year, that has all the Halloween clothes in it? They technically close. They go out of business every year. Every year they go out of business because they close all their stores. Spirit Halloween closes every year in November without fail. But they only have to make all of their revenue at one time of the year because they have such a seasonal product that it doesn't freaking matter. Right. So for them, I think tracking the past three months is irrelevant. Doesn't matter what's happening in July.
Nate Legos
True.
Sarah Levinger
Because they're only. They only care about October. That's it. They care about, like, August, September, October. That's it. Now, for you guys, it depends on what your purchasing behavior looks like. So I would be fascinated to look at your Shopify data and check to see high of the high LTV kind of customers. Right. Aov ltv. And then check to see what time of the year those people purchased and what time of the day in particular.
Nate Legos
Yeah. So like, that's kind of what I'm getting at. Like, our buyer behavior in quarters one and three is so different than quarters two and four, because two and four is Father's Day. And yeah, Christmas, big gifting periods. But our AOV is higher in quarters one and three. What the guys buying for themselves. And they're willing to spend more money on it.
Sarah Levinger
They're willing to spend more money. This goes back to the episode.
Nate Legos
Compare. Like.
Sarah Levinger
Oh, okay.
Nate Legos
I was gonna say, like, when we. Like, it's not fair for me to compare, like my August AOV to what it is today because it's like, hey, this month was five times bigger than August and I'm selling to a completely different customer.
Sarah Levinger
Yeah.
Nate Legos
Like, yes, my AOV is down. That doesn't mean anything about our pricing or upsell strategy is broken. That's what happens in our business, technically speaking.
Sarah Levinger
Then you should track customer data based upon the customer identities that exist inside your TAM high aov. Ltv, which means our best customers. Right. Which we talked about on last episode. And then also our price sensitive customers, sale focused customers. Track those in two different silos.
Nate Legos
Yep.
Sarah Levinger
And figure out what metrics actually matter to that particular customer type. Outside of that, I probably wouldn't Track anything else.
Nate Legos
Right? Well, yeah, because, like, different. If I Look at this Q4 compared to last Q4, our AOV is up and our conversion rate is up, which tells me like, our on site bundling and upsell and pricing strategy is working.
Sarah Levinger
Yeah.
Nate Legos
But yeah, it's just. You gotta look at it in context. You can't look at it business wide.
Sarah Levinger
No, no. Well, and that we generalize. We take all of the metrics and apply it to all of the customers inside the entire brand. And I'm like, that's not. That's not how that works. You have to segment. You have to segment. If you're not tracking by SKU and by customer type, you basically have no idea what to do. You're just guessing and hoping that this kind of like spaghetti on the wall thing is going to work. And it's. It's even worse. It's not even like spaghetti on the wall. It's like spaghetti off a building.
Nate Legos
That's my something. That's my like, favorite take to like, hey, if you want to throw shit at the wall, that's fine. You're gonna end up with shit all over your walls. Oh, so that doesn't sound, like super fun.
Sarah Levinger
This is a good episode. Now I'm thinking of all kinds of different, like, oh, man, we should be splitting this up into all kinds of different behavior because, yeah, your guys who are buying for themselves are technically a very valuable customer.
Nate Legos
Very.
Sarah Levinger
But they don't bring in large sums of revenue like the sale focused customers do. They need different tactics. You would have to do different marketing tactics entirely for both customer segments.
Nate Legos
Yep.
Sarah Levinger
Oh, God. All right, well, good luck with that.
Nate Legos
Thanks. That's why I have, you know, there's a lot of work.
Sarah Levinger
Yes. Job security. Also, maybe that'll be the next episode of like, how do you build a marketing strategy by identity silo? Because that's something we've never talked about before.
Nate Legos
Yeah, that should be an episode because I'm doing it all again right now because we're going back into.
Sarah Levinger
Oh, damn. Okay. Yeah, maybe we should do that one next. Where can people find you, though? They want to track what you're doing.
Nate Legos
With this at Nate Legos on Twitter. The tactical and practical podcast is so good. I. Everyone has been like, dude, it's so good.
Sarah Levinger
I'm like, people are raving about it.
Nate Legos
Yeah. Sarah's finally gonna come on.
Sarah Levinger
Yes. So right after this. Let's do it.
Nate Legos
I had to pay her speaking fees five grand for 20 minute episodes. Insane. But it doesn't make a Dent. I'm doing pretty well, so she's. We'll have her on. It'll be good.
Sarah Levinger
Doing better than I am, if that's what's actually happening. First of all, I didn't know we're getting paid. Second of all, so good for you. I'm glad you're doing well with your farm. Your duck farm that you just bought. 100. Where can people find me? Thank you for asking. That's a great question, Nate.
Nate Legos
Anyway, they're listening to this podcast, so they know where they.
Sarah Levinger
They found you, right?
Nate Legos
There you go.
Sarah Levinger
You can find me in my office. Usually my dog is here. He's not in the background. Usually he's sitting on that blanket at Sarah Lovinger basically everywhere, all the socials. And then check out what we're doing at Tether Insights, because I plugged a report today that I'm like, ah, crap. Now I have to make it to actually make the. Because somebody's gonna be like, where can I get these reports? And I'll be like, I don't know. I haven't made them yet.
Nate Legos
Make them.
Sarah Levinger
Did you say goodbye? I'm sorry. I was waiting. Oh, no. Bye. Goodbye.
Nate Legos
That was good. We said it at the same time. So cute.
Sarah Levinger
The Brain Driven Brands podcast is part of the Learn and Laugh series on the Quickfire Podcast Network. I need a nap.
Nate Legos
Need a beat.
Sarah Levinger
New release. Need a laugh. Bias.
Nate Legos
Sit back, Fire.
Brain Driven Brands: Episode Summary
Episode Title: The Illusion of Data: Why Customers Don’t Behave the Way Numbers Predict
Release Date: January 2, 2025
Host: Sarah Levinger
Guest: Nate Legos
In this insightful episode of Brain Driven Brands, host Sarah Levinger engages in a candid conversation with Nate Legos, delving deep into the complexities of customer behavior and the often misleading reliance on data in marketing strategies. The episode challenges conventional wisdom, urging marketers to transcend numerical data and tap into the nuanced psychological and cultural factors that drive consumer decisions.
Sarah Levinger initiates the discussion by highlighting a critical issue in contemporary marketing: the illusion that data provides a complete picture of customer behavior. She states, “Data predicts what customers think will happen again, not necessarily what will happen again” (04:57). This sets the premise for exploring why data-driven strategies may fall short in accurately forecasting consumer actions.
Nate Legos concurs, remarking on the dependency that modern marketers have developed on dashboards and numbers, often at the expense of understanding the human element: “We've all gotten so lazy and so reliant on numbers and dashboards that we completely take out the human element” (05:09). This sentiment underscores the episode's central theme: the necessity of balancing quantitative data with qualitative insights.
The conversation delves into how traditional data analysis methods, such as tracking overall metrics and conversion rates, can be misleading. Sarah emphasizes that while data can indicate what is happening, it often fails to explain why: “They tell you something is happening, but they don't tell you why or what's going to happen next” (05:31). This limitation is critical for marketers striving to anticipate and influence customer behavior effectively.
Nate adds that without context, numbers are fragmented and can lead to misguided strategies: “We're just missing so much information... our spreadsheet has 18 rows on it that we're looking at all the information we have. That's a fraction of it” (06:22). This highlights the importance of comprehensive data interpretation beyond surface-level metrics.
To counteract the shortcomings of traditional data reliance, Sarah suggests a more granular approach to data tracking, focusing on SKU-level behaviors and understanding customer purchase patterns in depth. She introduces the concept of "sister industries," advocating for tracking consumer behaviors outside one's immediate market to gain broader insights: “Track what people are doing emotionally, psychologically, and with their own identities outside of your industry and your product, your market” (07:56).
Nate shares his experience with tracking detailed purchase behaviors, noting that understanding what customers buy together or in subsequent purchases provides valuable context: “We look at what people are buying, what they're buying together, and what they're buying in second and third and fourth purchases” (08:35). This method allows for more targeted and effective marketing strategies.
The discussion transitions to how consumer behaviors are influenced by broader cultural and economic factors, such as inflation and seasonal trends. Sarah points out that external events and cultural shifts can significantly impact purchasing decisions in ways that raw data cannot predict: “If you have one athlete who has decided to go off of alcohol and he no longer drinks whiskey, all of his followers are now going to stop drinking whiskey” (13:07).
Nate elaborates on the necessity of contextualizing data within specific timeframes and customer segments: “Our buyer behavior in quarters one and three is so different than quarters two and four, because two and four is Father's Day... But our AOV is higher in quarters one and three” (19:12). This segmentation allows businesses to tailor their strategies to different phases of the consumer journey effectively.
A pivotal point in the episode is the critique of the traditional marketing funnel model. Sarah argues that consumers are not consciously navigating through a funnel, and their purchasing decisions are often driven by identity and emotional pressures rather than their position within a marketing strategy: “There's two things that are usually driving human behavior... identity... and emotional pressure” (14:07).
Nate agrees, emphasizing that metrics like conversion rates can be misleading without understanding the underlying emotional and identity-driven motivations: “Your conversion rate's the same, but you doubled the amount of people that came to your website. That's a huge win” (16:53). This perspective encourages marketers to focus on building genuine brand relationships rather than solely optimizing for numerical targets.
Sarah offers actionable insights for marketers seeking to move beyond data dependency:
Nate complements these strategies by advocating for continuous testing and adaptation, ensuring that marketing efforts remain aligned with evolving consumer behaviors.
The episode concludes with a mutual agreement on the necessity of integrating both data-driven insights and deep psychological understanding to create resilient and adaptive marketing strategies. Sarah emphasizes the importance of building a brand over just growing an ad account, encapsulating the episode’s core message: “Grow a brand, not an ad account” (17:58).
As a takeaway, marketers are encouraged to view data as a piece of the puzzle rather than the entirety of customer understanding, advocating for a balanced approach that honors both quantitative metrics and qualitative human insights.
For more insights and strategies on bridging the gap between data and consumer psychology, tune into Brain Driven Brands and join Sarah Levinger and Nate Legos in their mission to transform your marketing approach from the ground up.