How To Better Capture & Use First Party Data To Guide Your D2C Strategy – Episode 22: 7-Figures & Beyond Podcast

How To Better Capture & Use First Party Data To Guide Your D2C Strategy

Episode Summary

In this episode of the 7 Figures and Beyond podcast, host Greg speaks with Jean-Marx, a seasoned digital marketer with extensive experience in the ecommerce sector. Jean-Marx discusses the importance of first-party data collection, particularly focusing on email capture as a foundational step for effective marketing strategies. He shares insights from his career transitions, from early web development to consulting during the dot-com boom, and eventually leading innovations in fintech and ecommerce. The conversation emphasizes the strategic use of data to enhance customer understanding and retention, the role of emerging technologies and privacy laws in marketing, and practical tips for brands to optimize their marketing efforts.

Key Takeaways

  1. Email Capture as a Cornerstone: Jean-Marx underscores the significance of collecting email addresses through a website’s popup as a critical first point of contact with consumers. This step is essential for building a database that supports targeted and effective marketing campaigns.
  2. Comprehensive Data Utilization: The discussion highlights the necessity of understanding customers through various data points collected via emails, surveys, and third-party analytics. These insights help in crafting personalized marketing strategies that resonate with the target audience and enhance customer lifetime value.
  3. Impact of Privacy Laws and Technology: Changes in privacy regulations and the phasing out of third-party cookies are shaping the marketing landscape. Marketers need to adapt by leveraging first-party data and exploring new tools and platforms that comply with these evolving standards.
  4. Integration of Advanced Tools: The use of advanced analytics and AI tools like Google Analytics 4 and Looker Studio is recommended to better understand and segment audiences, enabling more precise targeting and effective ad spend.
  5. Future of Marketing with AI and Data Analytics: The conversation also touches on the potential of AI tools to democratize data analysis, making it accessible for brands of all sizes. These tools can help interpret complex datasets, providing actionable insights without the need for extensive in-house data expertise.

Episode Links

Greg Shuey LinkedIn: https://www.linkedin.com/in/greg-shuey/

Jean-Marx Mantilla LinkedIn: https://www.linkedin.com/in/jeanmarx/

Looker Studio: https://lookerstudio.google.com/

Episode Transcript

Greg: 0:26
Hey everyone, welcome to the 7 Figures and Beyond podcast. This is episode 22. Hope everyone is having an amazing day today.

Greg: 0:37
Today I’m going to be chatting with probably one of the most seasoned digital marketers I’ve had the privilege of associating myself with. His name is Jean-Marx. He is the former senior director of marketing at Land’s End, and Land’s End is a pretty big deal, so Jean-Marx is also a pretty big deal. Again, I said former director. That means that he is on the market and he is looking for his next big opportunity. So if anyone knows of any large enterprise companies that are out there searching for someone of his skill set and expertise, they would be lucky to have him. So if you know anyone looking, please reach out to him on LinkedIn. We will have his LinkedIn profile in the show notes to make it super easy to connect with him and reach out.

Greg: 1:26
So today’s discussion almost didn’t happen. Actually, Jean-Marx and I have been going back and forth on days and times and discussion topics and we finally got dialed in yesterday on what we were going to do. So I’m super grateful for the chance to be able to spend some time with him today and really dive in. Today our topic is going to be around first party data, so some of the things that we’re really going to dive into today are why your email capture pop-up window should be your top priority of 2024, as with collecting that email address, how to collect better data, how to segment properly and then how to use it for your marketing strategy, whether that’s email, paid search, paid social taking that data you have and using it to guide your strategy. So, Jean-Marx, thank you so much for being with us today.

Jean-Marx: 2:17
Well, greg, thanks for having me. Certainly, you know it’s pretty exciting to talk to folks out there. So you know, let me tell you a little bit about myself. So, like Greg said, I was at Land’s End, which is a direct-to-consumer women’s apparel brand, and, as you guys will learn today, that e-commerce is one of the things I’m very passionate about. That e-commerce is one of the things I’m very passionate about and helping companies out, kind of building out their e-commerce businesses. So let me give you a little bit of background on how I got started and kind of my journey with e-commerce.

Jean-Marx: 3:01
So I might be dating myself a little bit here, but back in college I was a computer lab monitor and I got introduced to this little thing called the Mosaic browser, the Big Ten schools that then these folks up in Illinois went to Silicon Valley and created Netscape and Netscape browser and so that’s how I got started, kind of building some web apps there at the university. And then I got recruited to come and work at what used to be a CD-ROM studio that then became a e-commerce marketing agency. So I worked at Resource Interactive and I got to work on as a web developer on first generation websites. So this was when you needed to think about everything. First generation website. So this was when you needed to think about everything, right? Uh, beyond just having a web page, how do you go look up stuff? How do stuff shows up? What do pmps look like? Things of the sort everything being built from scratch. So I got the opportunity to work on the first generation website for victoria’s secret, where I learned a lot as well as Burton Snowboards. So they were one of the first websites selling out there products to consumers.

Jean-Marx: 4:33
During the dot-com boom I consulted and helped out venture-backed startups and back in the day it was all about building the software, finding the servers, building the servers and then eventually trying to figure out how do you go find those customers. And that is what really led more into the marketing side of the house, and so it was kind of helping companies do that during the dot-com boom. And then in the bust I said I would never do this again and I went to FinTech and worked at JPMorgan Chase, kind of in their innovation side of the house, led the group from a product management perspective that launched mobile check deposits on iPhone. So when you take a picture of a check and it goes directly to your bank account on iPhone, so when you take a picture of a check and it goes directly to your bank account.

Jean-Marx: 5:25
I was that part of that team as well, as kind of was a liaison to the future of banking consortium in Boston, where I worked with a little company called loop pay, and it goes. Most people won’t know what loop pay is, but a lot of people that use Android phones know what Samsung Pay is, and so that got me into the whole world of payments and payment transfers, which rekindled my passion for e-commerce. Right, recognizing that that huge friction of people having to enter all this information and mobile devices kind of blowing up during that time frame, you know, is what brought me back into e-commerce, and so for the last decade I’ve been focused on helping direct-to-consumer brands sell things on the Internet as well kind of expand into marketplaces, and so the main thing that I’ve learned is cross-functional teams are extremely important just like any other business.

Jean-Marx: 6:31
And then as a marketer, knowing your customer and by collecting all the possible data that you can use to segment is extremely important, and that’s what we’ll be talking about today. I love it.

Greg: 6:44
Thank you for that history, and that background to segment is extremely important, and that’s what we’ll be talking about today. I love it. Thank you for that history and that background. So saying you were a seasoned marketer is an understatement. I mean, you’ve been doing this since the internet started. So nice work, I love it. So let’s dive in. You ready to get started?

Greg: 7:01
Sure yeah in you ready to get started? Sure, yeah, cool. So I think again, this is me thinking maybe I don’t know for sure that a lot of brands out there like emerging brands right, they’re starting to get some traction. They really approach customer data collection nonchalantly. I think back to when I started my e-commerce business about five, six years ago. You know, when I got started, first thing like, oh, I need a way to collect email addresses, I need to build a pop-up, I need to come up with some kind of an offer, which is typically like a 10% coupon code, and just throw it up and hopefully I get things. And I think that’s probably how a lot of brands operate these days and they don’t really understand how important and how helpful it can be getting ready to scale by having a very strong plan and strategy in place to collect that email address and that first party data. So, from your perspective, could you walk through the importance of putting enough time and energy into getting your email collection pop up right?

Jean-Marx: 8:07
Yeah. So I think, like you said, most brands will go find a piece of software that does one thing right Collects email. Another piece of software that’s going to do the drip campaigns. Another piece of software that’s going to do, you know, card abandonment. Another piece of software that’s going to help you bid out there for paid search to try to drive this traffic in.

Jean-Marx: 8:31
But you know, the reality is you have to think about, you know, as a very consumer, customer centric individual. To have success at your business, you have to try to understand that customer as much as possible. And I think the key, no pun intended, is an email address. The email address is what connects a lot of different systems as well as becomes your data schema, the way of laying out all the different pieces of information that you may want to know about that customer. And so, and the reason why, you know I said that’s really like the email capture, since it’s kind of that first touch point for a lot of consumers that are being introduced to brands as they come to their websites, you know, is important because what happens is you’re going to reach a point where that’s great, you’ve made it to a certain level, because you’ve acquired people, you know, but it’s costing you more and more to acquire those same people. And so you know the thing is really about. Okay, now you’ve got a list of people, hopefully you have some understanding of who they are, what they bought, but you know, to move up the ladder is how do you increase their lifetime value?

Jean-Marx: 9:50
Right, and so that’s where I think really laying out even if it’s as simple as an Excel sheet of saying I got an email address, okay, I know what category you visited. I know that I sent you an abandoned cart. I know that that abandoned cart Category you visited, I know that I sent you an abandoned cart. I know that that abandoned cart you bought these items. I know this is your sizing right Starting kind of touchingation and understanding of your customer, not just what they saw, but also what they are looking at, to then start making informed decisions on what is appealing to them, what are they reacting to, even from your messaging, even from your messaging, and then that also then helps you connect it to your you know A-B testing tool or your personalization tools that you may have out there. So I mean, I’m sure many of you are on Shopify, so what I would say is, hey, look, at least gain some information on some of the players out there.

Jean-Marx: 11:06
I think HubSpot or Klaviyo do a great job out there to start connecting some of those points and have friendly UI interfaces. But I think it is critical to really understand how all that data starts connecting right To be able to move it forward. And so it does begin at that email capture, because that email capture is did they react right away to it? Did they react? The third page they viewed? You know, did they view that third page? Because they came in an entry page but they really clicked on the recommendation and the recommendation was the right color, right that they favor. You know all those types of things can be passed through at that point and then from that then you start adding every time there’s an interaction with that customer out there. And you know, as we continue, we’ll definitely talk a little bit about why this is becoming more and more important as privacy laws are changing in the United States.

Greg: 12:12
For sure. Yeah, I love that. So, once you’ve kind of got the basics dialed in, like what are some of the different ways that brands can start to augment their customer data and really build out who they are? I mean, you talked about looking at behavior, but like, what are some other ways you can round out who that person is and how do we get them to engage with us more frequently and buy more at the end of the day?

Jean-Marx: 12:36
Yeah. So I think one of the things that becomes really important is is surveying your customers. You know you can start, you know, with your new customers. You know, you know what products they might’ve bought, but you really don’t know a lot about what appealed to them to actually, you know, upsell them or cross sell them for additional products.

Jean-Marx: 12:58
You know, at Land’s End, you know, our biggest formulation was okay, this person came in and they bought women’s pants.

Jean-Marx: 13:11
You know, are they going to buy a women’s top, right, and what kind of top is it going to be that they’re going to buy? And is there a differentiation from this customer buying in the East Coast versus the Southwest? You know, because that’s going to dictate what type of you know what type of garment they’re buying at certain times of the year, and so all those things start kind of being able to connect it together. So, yes, I would say definitely, once you start collecting information from an email perspective on the behavior, secondary is to start really doing a surveying of your customers, to really start attaching that information, and then that starts opening up the opportunity to go to third parties like Axiom or even Experian, to start doing data. At Penns, all these customers look like these other customers, right, and it also starts giving you some true intelligence on who they may be buying from. Just because you think you have a competitor that might be just an aspirational competitor, your, your customer, may not be buying from them.

Jean-Marx: 14:21
That’s sometimes the reality, right right you know, at land zen it was always like, oh, it’s got to be j crew, j crew. And the reality was our customer went into macy’s, went into kohl’s and they bought from that and and, surprisingly enough for us, once we started really diving in and understanding our customers, that said, oh wow, there’s partnerships we can have. And you know, one of the things my team helped launch was third party selling in Kohl’s, so on the Kohl’s website, for our products, products. But you know, a lot of that was going through all these little pieces of information that started connecting based off of our email list. So it’s each little step you go and how much information you can add. And then is there a market out there, like the experience or the axioms of the world, that might be able to give you some additional information to that. And then you know, then you start thinking about how that can be utilized beyond that.

Greg: 15:25
Yeah, I like that a lot. I don’t know that I’ve ever had a discussion with a brand about going out to the axioms and experience and using that as a way to be able to generate more data on customers. I know that a lot of the brands that we’re talking with these days are really big on like, post-purchase surveys. So, on the thank you page, right, figuring out, how did you hear about us? What brought you to the site today? Like, how long did you know about us before making a purchase decision, taking that data, pushing it back into Klaviyo.

Greg: 15:55
And then some are even starting to talk about like zero party data, which is a relatively new term, where, on the email, opt in before a purchase, before an add to cart, surveying them and capturing some of that data. Right, like, who are you? What are you shopping for today? Is this for you or for a gift? Those types of you know pieces of data that they can then push in and kind of enrich those customer profiles so that they can segment and start nurturing and dripping email and sending postcards, and you know all of those different things. So I think there’s a ton of different ways that you can really augment that customer’s data and understand better who they are.

Jean-Marx: 16:35
Yeah, so I mean, I think one of the things like that you brought up right. So sometimes budgets are going to be restrictive to go play with some of the big data players.

Greg: 16:43
Yep.

Jean-Marx: 16:44
But okay, I’ll give you a hack, right? So you go and you go and you segment your data and then you upload the CRM files into Facebook and you let Facebook tell you what those people look like and what they have. Right that? Starts informing you Right, Once again you got to segment it.

Greg: 17:06
Yeah.

Jean-Marx: 17:07
Because that’s critical, right, because if you upload everything, you know you’re going to have too general of a information. But if you do segment, it will give you a little bit more insights out there to to get started. And then that of course will I mean I know a lot of the folks use competitive conquesting. That will start giving you some better information on competitive conquesting.

Greg: 17:30
Cool, interesting, and that even works today. With all the targeting options that have been taken away over the years, it’ll still give you the data. That’s cool. I’m not much of a Facebook ads guy, so I’m not sure of all the little hacks and things that you do in there, but that’s really cool. I’m going to have to play with that and maybe segment some lists for my own brand and run that through and see what it says. So that’s cool. So, while we’re talking about segmentation, like why and you’ve probably already touched on this a little bit, but like why is it incredibly important to segment your audience? And then I’m curious what were some of the best segmentations? Um, that a brand should set up first, based on your experience working at lands end, like what worked the best from a segmentation standpoint.

Jean-Marx: 18:22
Well, you know, at Land’s End we started from a catalog, so we’re very direct response driven. You know, when it came to segmentation, we were very hyper segmented. The big part was trying to figure out the digital footprints of folks and how you could connect browsing data down to people that might receive a specific catalog that had certain pages and, of course, those pages were always sub. Subcategories. Uh, out there, um, you know, I I think the the best thing that I can advise is you got to start doing it as a general practice, right, everybody’s going to be a little bit different, right, are you a regional play? Right, to try to understand hey, these people that are part of my Facebook or Instagram followers and advocates and commenters are also the people that continually buy, or not just buy, through the digital channel, but they also buy from the catalog channel, they buy through the phone and they buy through retail, right? So I think that’s one of the main keys, right is understanding who comes through what channel and what is their channel affinity. If they have multiple channel affinities, do they speak out or even follow you to become an advocate? I think those things become important, especially trying to identify those advocates in the digital world.

Jean-Marx: 20:12
Those are the people you’re going to want to reach out. These are the people that might’ve also taken the time to fill out that survey, to tell you how, how they came across and the experience that they had, or even things that you can improve on, because I truly do believe that word of mouth has has quite a bigger impact, more than it had before, with the social channels, and you know, with the social channels and you know, it is not just about influencers. It’s about people that are respecting what they purchased from you and are willing to advocate for you, which becomes very, very important today. So, yeah, looking at who buys through multiple channels, right, are they part of your current people that are active as your followers in the comments? Are they active and willing to give you information for you to really start segmenting those folks and hopefully, those folks do really truly become your highest lifetime customers? So, by understanding them, that will help you try to figure out how to attract some of those other folks.

Greg: 21:22
How to go get more of them. That’s something that I talk about a lot on LinkedIn is, you know you can go out and acquire customers all day long, but are they the ones who are shopping for a discount? Are they the ones that are only going to buy once because you don’t send them a second discount, and are they just going to suck you dry from a margin percentage versus the people who are going to come back over and over and over again and increase your lifetime value? So I love that you brought that up and I think that that dovetails quite nicely into my next thought that I would like to to maybe flesh out a little bit. Is you know, once you’ve got all that data and you’ve built out your segments, how do you use that data, or how should you use that data to start personalizing your marketing efforts?

Jean-Marx: 22:14
Yeah, so so you know, we are in a very interesting point, right. Cookies are going away. I will say cookies was the driver for the last 15 years. That meant that you could use other people’s data. What does that mean? That meant that someone on a separate website was sending signals to your advertising platform like Facebook or Google to your advertising platform like Facebook or Google, and they would bring you those people right, which made acquisition extremely, extremely easy. That helped kind of that growth. Right, we were hit about two years ago with iOS update.

Jean-Marx: 22:59
A lot of marketers got hit big time because of it, because that Facebook like button that was on everybody’s pages, which gave that cookie away, was suddenly gone in that signal right, and so it becomes very, very critical, especially as we move forward into, you know, a government-based privacy initiatives that are occurring right now at the state level, but hopefully in the future, as a marketer, we do hope that there will be at the federal level, which then, if you have this information, this data on your customers that are, of course, have a great key, which is the email address, you can then upload these with permissions to places like Google right.

Jean-Marx: 23:46
One of the things that we know that Google has started to do with Google Analytics 4 is it’s building out specific audiences that you can use in your Google Ads account, right, and the way you can supplement that to have better signals is to upload specific segments against those audiences that you’ve created on Google Analytics for, and this is what’s going to help you find new folks at a decent cost, right the ability, at a lower cost, to go to the preference channels of certain individuals that hopefully are your higher lifetime value people, to bring those people back in if that is one of their preferred channels.

Jean-Marx: 24:34
So yeah, so that is what’s coming and I think, as a marketer, read as much as you can. I mean, I know that there was a big deal several years ago about CCPA, but the reality is you need to know about Virginia, you need to know about Illinois and what they consider data that can be used and data that can’t be used, what needs to be cleared out. So I think this is something that’s going to become more and more important. So I think this is something that’s going to become more and more important.

Jean-Marx: 25:09
I would say marketers, become friends with your analytics and data science teams as well as trying to get those people from your platforms that you use. So if Klaviyo is a place you’re using as an example, as a platform, and they’re doing a QBR for you, make sure they invite the data guy to understand what the roadmap looks like, because that’s going to be very important for your future to how to be able to use your own data. So, yeah, so that, so yeah, so that would be kind of my viewpoint. Hopefully that that kind of gave a little flavor on on on your question.

Greg: 25:48
That’s awesome, cool yeah, and I I love the the tip of taking that data, the segmentations, and um putting them into GA4.

Jean-Marx: 25:58
I love that Um and being able to take your GA4 audience that’s typically based off of visible paths.

Greg: 26:09
Got it.

Jean-Marx: 26:10
When you’re uploading a segment that you’re connecting together. If these people buy brown pants and they buy a navy blue shirt and you know they navigated into the pants category, that’s going to give you a much better targeting.

Greg: 26:29
And then you match it up.

Jean-Marx: 26:31
Yeah. So that’s the thing to keep in mind, right Is these systems are going to become more interconnected. Well, sorry, they’re going to become more black box on their end, and so you need to manipulate that black box with the different data points you have.

Greg: 26:48
Do you and this is maybe just a wild question, but do you see, like tools like chat, gpt, be able to take those two data sets and be able to help you make sense of it?

Jean-Marx: 27:01
You know there’s. There’s a lot of tools out there. I’m not going to talk about ChatGP3. But I do think right. So you have tools out there such as, you know, the Amazon Data Lakes, you know Azure, bigquery, and then you have tools like Looker, which is Google Data Studio. Yep, looker, which is Google Data Studio, which has a lot of API plugins to bring in a lot of this data and massage it to then be able to get to a point where you can use those generated AVI tools that are up and coming, cool Right, because, at the end of the day, you want to make sure you have it so you can visualize it and have it, so you can get it auto updated. That’s why I would, I would say, go to you know data studio first and get all this connected there. Yeah, um, before you start cutting and pasting into ChatGP3 or using its APIs. I think that’s one of the areas that is, I think, underutilized and anybody can download Looker Studio out there.

Jean-Marx: 28:22
And there’s a lot of YouTube videos right. It is the golden age of learning things yes, it is type it into google. There’s someone who has screen shared how it works, how they set it up. So, uh, I think that’s one of the things that helps continually understand what’s going on. Cool, oh yeah. So that’s what I would say about those generative AI tools that might be out there.

Greg: 28:47
That’s awesome. Yeah, I’m. I’m hopeful, right, Because a lot of you know even low seven figure brands. They don’t have the luxury of having a data analyst on staff, right, they don’t have the budget or resources to be able to do that. So I’m hopeful that someday, like AI tools, can help make sense of that data a lot faster and almost act as kind of a data analysis or analyst. But I guess we’ll see. We’ll see as time goes on.

Jean-Marx: 29:18
I think right. So I mean, I think most people use Microsoft office.

Greg: 29:23
Yeah.

Jean-Marx: 29:23
And things are now built into Excel and Copilot, which is kind of their version of ChatGP3. Yep, or you know of the generative AI, of OpenAI tool set, and I would say, hey, go to your finance folks, you will be surprised. They love Excel, they love doing analysis. They might be able to be the key to get you in, to get some of these insights and build you some of those dashboards, even if they’re in Excel. Right, you know I don’t want to put down Excel. You know it is an extremely very used tool out there and a lot of companies use it, and so I do think that there’s there’s opportunity and as the development of co-pilot out there. So, yeah, I mean I would explore it that way. Even if you’re, if you’re a small, small business, you’re going to have someone in your finance team that loves Excel and lean on that co-pilot to finance team.

Greg: 30:28
That loves Excel. Cool, I love that, cool, cool. Well, as we kind of wrap up here, you know I always like to talk about predictions through 2024 and 2025. You know, google announced, I think last week, that they’ve delayed the shutdown of third-party cookies again. This is like the third time. They’ve done it right. Are they scared? You know, I don’t know, I don’t know what their dear, their deal is. But uh, you know, as we navigate the next 12 to 18 months, like, what kind of predictions do you have in terms of tracking, cookie lists?

Jean-Marx: 31:04
you know, tracking and marketing and those types of things so I mean, I think, right, the first and foremost, talk to your partners that you have out there to see what they’re seeing, right? Uh, first and foremost. Um, I do think there’s a lot of Wolded Gardens out there that have been collecting data for the last five years yeah you know, Wolded Garden, like Epsilon, right being one of the publicist companies, right?

Jean-Marx: 31:36
so all these agencies are interconnected with this one data provider out there, and so if you’re working on them, so certainly I would reach out to them. If you’re working on them, so certainly I would reach out to them. If you’re buying CTV or you know banner advertising and you’re going through the trade desk, always understand how the trade desk is using their audience for future usage and how you can upload certain segments to them. And so I do think that there’s there’s those opportunities out there. You know, I do think legislation will be the most impactful, right, you know there’s, you know so like right now, right, the government wants for TikTok to divest from from their parent company and as a marketer.

Jean-Marx: 32:47
We all know we’ve been taking leverage of the data exhaust. Whether you visited a website or whether you opened an app and there was an ad, there was all this information being sent out, like your GPS information and all that. The reality is right. We have been out there as an advertiser leveraging these tools. You know want to put my little foil hat Government has been utilizing these tools Yep, right, and you know, and it had been utilizing these tools Yep, right, and you know, and it had been mainly American companies, and so I do think that you know they became aware of just the amount of exhaust data that’s out there, that’s being produced as people are walking around, you know, and how that’s being used, and so I think there’s going to be more and more restrictions.

Jean-Marx: 33:31
You know there’s going to be more audits. If you’re an app, there’s only be an audit from your platform, whether it’s Google, android or whether it’s Apple App Store going forward. So I think all those things will become more and more impactful. We’ve already started seeing with the whole Google removing cookies right, so a lot more of these publisher websites out there started to put in a login right Because they recognize that that email capture became really, really important. Yeah, so I do think that that’s going to, you know, become more and more important. And going back to the AI conversation, the reality is that companies like ServiceNow right, which they’re making a lot of money on custom AI models today, they’re going to go to their customers and going to process this data. The government is going to become aware that the data can be processed in a much quicker route, so they’re going to ask for higher compliance. What does that mean? That means that when the day comes that Google stops accepting cookies, guess what?

Jean-Marx: 34:47
There’ll be rules in the background that the expectation will be higher because, there is AI tools available out there for you to process all this data much faster. Interesting, think that some of these AI tools that a lot of people have been developing over the last two years are going to help conversational type analysis, where somebody can just sit there and talk to the machine and the machine will draw the graphs and give you the insights, and so you need to become comfortable with prompts and how to talk to the machines. Hopefully, they’ll become smarter in how language is put together and be able to talk to them. We see this with tools like Google Docs and being able to dictate right into it. But I do think that that will be the next step that we see, you know, very soon, right within the next year, year and a half, and there won’t be very costly tools.

Jean-Marx: 35:53
Yeah, right, you know we saw this revolution come out from chat GP three when it launched. You know it was the highest adopted piece of software ever. You know it is, I’m going to say, less than two years old. Yeah, so you know everybody that has built tools on top of that, and you know companies that are coming out that are building tools on top of those tools, right, are going to drive the price significantly down so people can utilize it that is the advantage of today that I didn’t have 20 years ago are going to drive the price significantly down so people can utilize it. That is the advantage of today that I didn’t have 20 years ago.

Jean-Marx: 36:34
20 years ago, I had to build the software, build the UI, build the servers. I had to build the servers. Today, a credit card can get you up and running on Shopify. There’s an ecosystem of platform vendors that plug right into it. There is a group of applications that connect to it, like Domo, right All these things right. A credit card and maybe $1,000 gets you up and running out there, and so I do think that it is accelerating. And the one thing that I’ve always found exciting about digital marketing and e-commerce has been the continual learning that comes with it, because you got to keep up with what’s coming up next and how it’s going to impact what you do out there.

Greg: 37:21
So I love that and I think I’ll probably just kind of close with with this is I don’t think I mentioned this at the start, but Jean-Marx. He’s a hardcore SEO guy, so if he’s coming on a podcast talking about email capture and data collection, it’s probably pretty important. So I appreciate that, Thank you. Thank you for sharing everything.

Jean-Marx: 37:45
You’ll have me on next time on something else about SEO.

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