Artificial intelligence is getting a facelift and it’s becoming very real.
ChatGPT it’s the next big thing you can’t miss.
On today’s episode, Kinsley and Quinn host Mike Magnuson, founder and CEO of GoodBed.com and co-host of the galaxy’s second greatest mattress podcast, Mike It Up alongside Jeff Cassidy.
So what is ChatGPT? In short, ChatGPT is a large language model developed by OpenAI that uses deep learning algorithms to generate human-like responses to natural language queries. It is designed to understand and respond to a wide range of questions and tasks, and is used in a variety of applications, including virtual assistants, customer service chatbots, and language translation tools.
So how does this affect the industry? In theory, ChatGPT could be used to help consumers find the perfect mattress for their needs. For example, a mattress company could develop a chatbot that uses ChatGPT to answer customer questions about different types of mattresses, such as memory foam, innerspring, and hybrid mattresses. The chatbot could also ask customers questions about their sleep preferences, such as their preferred sleeping position, firmness level, and temperature, and use this information to recommend a mattress that would be a good fit for them.
Additionally, ChatGPT could be used to develop personalized sleep coaching programs that help consumers improve their sleep habits and get better rest. By analyzing customer data and providing tailored recommendations based on individual sleep patterns and preferences, companies in the mattress industry could use ChatGPT to differentiate themselves and offer a unique value proposition to their customers. Overall, ChatGPT has the potential to revolutionize the way that the mattress industry interacts with and serves its customers, leading to more personalized and effective solutions for better sleep.
Don’t believe us? This entire post was generated by using ChatGPT. We simply inserted, “what is ChatGPT and its impact on the mattress industry” and this was the response it provided.
Dos Takeaways:
1) Learn what ChatGPT is and
2) Don’t fear new and expanding technology.
Curious how this could affect marketing? Check out The FAM Marketing Show episode with Julia Rosien on this topic!
FULL TRANSCRIPTION
Mark Kinsley: Should chat GPT scare the living daylights out of you or get you really excited. We’re gonna talk with an industry expert who’s all thanks, tech and all things mattress nerd. Yeah. Mike Magnuson is back. The Galaxy’s second greatest mattress podcaster is here. The Dos Marcos Show begins right now.
Mike Magnuson: You almost told the truth there.
You almost had it as,
Mark Kinsley: as the best. I asked G P T, like, who’s the galaxy’s second greatest mattress podcaster. And your face flashed up there. I’m like, this thing is brilliant .
Mark Quinn: Well, it may not react to that. If you said distant second, it might pop up. .
Mark Kinsley: Hey, before we do get started though, I, I will say, I I, I’m gonna let you know that one of our top 10 most consumed pieces of content of all time on fam.news is a Mic It Up podcast.
And I was gonna wait to tell you at, at Sushi Pan Appalooza, what it’s gonna be, but I’ll go ahead and tell you. It was the episode that you did, you and cast did about great mattress brand campaigns and marketing campaigns. Yeah. That made the top 10. Nice.
Mike Magnuson: That’s awesome. Awesome. Well done. That was a
Mark Quinn: fun one.
It was. It was number 10, but you still made the top one.
Mike Magnuson: Actually, it was probably number one, but he’s like expanding it. Like he doesn’t wanna let that be known that it was number. Yeah, it was somewhere in the top hundred, you know,
Mark Kinsley: somewhere ish. Yeah. So, hey, for people who don’t know you and, and most of the listeners of this show know. Mike Magnuson, c e o of good bed.com.
Um, and Jeff Cassidy, who’s your colleague, coworker, friend. You guys have your own show called Mic it Up, and you’re coming back for season two, I believe it is. And it’s gonna be No Season three, sorry. Season three. And it’s gonna be featured on fam@fam.news, under the Mic It Up tab over there. We’re gonna push it out to our newsletter.
So if go to fam.news, make sure you subscribe, and then you can also from there, subscribe to the Mic It Up podcast on Apple and Spotify, on all those good platforms. Uh, but we’re so excited you’re coming back for season two. Can you give us, just before we talk chat, G P G P T, can you give us any, uh, inside topics that you’re gonna be, uh, featuring in season?
Absolutely. Yeah.
Mike Magnuson: I mean, the whole genesis of season three, we, we weren’t really feeling like a burning, unlike you guys, we don’t feel like we have to be in front of a microphone all the time. . I mean, we do it more just when we feel like we need to, and, and we did feel like we needed to because we realized that since the last time we recorded an episode, the world had changed dramatically and the industry is now facing a different environment than it’s really faced anytime in the last 15.
And it’s requiring a whole new set of strategies. And so we thought, hey, that’s kind of our jam is, is data insights strategy. And so we thought we should come back with a season that’s really about how to help retailers, uh, as well as manufacturers survive and thrive in this completely different world that we’re now occupying for the foreseeable future.
Hmm. So that’s the theme of season.
Mark Kinsley: Love it. Can’t wait for it. I mean, I would, that actually, so wets my appetite that I want to know more right now, but we will save it for season three, and I will be your first listener. In the meantime, I, I have to show you something. Okay? We’re talking about chat, G p T.
Okay. So Quinn, why don’t you tell us, for people who don’t know what chat g p t is, why don’t you try to put it into language? A fifth grader could understand because you’re talking to me and.
Mark Quinn: Ha ha. Right. Well, you guys, it’s interesting because Chad, chief, you gotta
Mike Magnuson: speak up. He’s gotta be like the, he’s the second grader, so he’s gotta actually try to act like he’s talking to an older kid.
Is that what the idea is here? ? No, I, if I
Mark Quinn: had pictures, I could show you pictures and like, Bring you along with a storybook, but I don’t have anything like that. So chat, g p t is, uh, an artificial intelligence platform that is growing so fast and, and people are liking it. You guys, I just for context to the invention of the iPhone or Google, like that’s like, okay, well you can’t say that the iPhone was just massive innovative, but that’s what people are saying and it’s so crazy.
So it actually stands for chat generator. Generator, generative. Pre-trained train. Wake up. I
Mark Kinsley: can’t hear you.
Mike Magnuson: Yeah. I love how we, how you stuck with that. I mean, you really hung in there and made it through that
Mark Kinsley: whole acronym. You didn’t quite stick the landing, but man, you’ve . You were
Mark Quinn: twirling. What don’t you two just hu it and let me get through this.
Um, humans taught it to respond and it has the ability to write and debug Computer programs, compose music, teleplays fairy tales, student essays, answer test questions sometimes at above the average level of human test taker. Write poetry, song lyrics, emulate a Linux system and simulate an entire chat room, as well as play games like Tic-tac toe and simulate an at tm.
And here’s some perspective for you fellow. . Think about Twitter and how big Twitter is today. Twitter reached a million users in 24 months. Facebook reached a million users in only 10 months. Instagram reached a million users and only two months and chat. G P T reached a million users and under five days.
That’s how hot this
Mark Kinsley: property is. Woo. That is some heat. That’s heat. That is some heat. So I signed up for an account, and it’s funny because whenever you sign up for new social media networks, you know, maybe the first one was Facebook, and then you get into Twitter and Instagram and some of the others, you kind of know what to do.
You’re like, oh, I guess I’ll post something, you know, or I’ll go research it and look at friends and what they’re posting whenever you sign up for chat. G P T. I didn’t quite know what to do in the very beginning. I’m like, what do I do with my hands? Like where do I go from here? And then you do a little bit of research and you start punching in questions.
You start telling it to summarize things. But you know what the, let’s just, for those of you watching, and we’ll describe this to anybody that’s actually listening, let me just share my screen because I have asked chat G P t a few questions and we’ll read through some of the responses that it generat.
So I’m pulling it up here on the screen. So the first thing I said was, please write a message telling the Galaxy’s second best mattress podcaster to quit making podcasts. And Quinn, you can read the response
Mike Magnuson: soon as I can see. Does it call? Does it call you by name? Mark . Say, mark.
Mark Quinn: It says, I’m sorry. I cannot generate content that is harmful or disrespectful to others.
It is important to communicate a constructive, respectful manner. If you have concerns or feedback about a specific podcast, it would be best to reach out to the creator directly and express your thoughts in a polite and professional manner. So Magnuson. Would you pretty please ? Stop doing what you’re doing and cut this shit.
All right. Said,
Mike Magnuson: is this an intervention? .
Mark Kinsley: So then the next thing I said was, I wonder if I just ask it for some good insults. Would it give me any? And it did not. It repeated the same message as before. So finally I had to frame it in a positive way and I said, how can I become a better podcaster? And from there it gave me 10 tips.
Everything from practice, research, and self-reflection all the way. Consistency, authenticity, and being a good storyteller. And it actually gave 10 really good tips about becoming a better podcaster. And then I thought about
Mark Quinn: Matt, how, how, how long did it take from the time you asked the query until the time you got that list of 10 items?
Mark Kinsley: So there is a little period of time where it is generating the response, and I would say it lasted 10 seconds took and then it started, it took. Typing out all these really good tips on becoming a better podcaster. And then I thought about Magnuson and I’m like, Magnuson makes some pretty darn good mattress videos.
Really good mattress videos. So then I was like, how can I get better at making mattress videos? This is what I asked, chat G P T, and it gets into everything from creativity and lighting to to equipment. Short and sweet. Be honest. Showcase the key features. Use a script that be natural. I mean, all the things that you do.
Mags, I don’t
Mike Magnuson: know about the short and sweet part. ,
Mark Kinsley: there’s a little bit of bloviating, right? ,
Mike Magnuson: right.
But yeah, some of those things we do.
Mark Kinsley: All right. So just to, we don’t use,
Mike Magnuson: we actually, we don’t use a script either, but we definitely keep it
Mark Kinsley: natural. So you definitely keep it natural. So that, that was pretty cool. And then I, you know, I’ve, so I’ve noticed people that are using chat, G P T. They’re going to articles or they’re going to book summaries, and then they’ll actually tell chat G p t to summarize this.
So I actually grabbed one of your articles from good bed.com. Mm-hmm. And I said, summarize this article in language a fifth grader can understand. Hmm. And so I inserted the link, uh, which is your mattress matching article. Mm-hmm. . And it spit out a paragraph. And it said, this article is talking about how to choose the right mattress for you.
A mattress is something you sleep on and it’s important to pick the right one so you can have a good night’s sleep. This article explains that there are different types of mattresses like foam spring and hybrid, and each one feels different. It’s important to think about how you sleep and how you feel when you wake up to help you choose the right one.
The article also talks about things like size, firmness, and. and how they can affect your decision overall. The articles trying to help you find the best mattress for you so you can sleep well. So
Mike Magnuson: I would actually say that’s a weaker, that’s a weaker output as among what I’ve seen from Chad G P t because that’s more telling you what’s in the article, less actually summarizing it for you.
It doesn’t give you like the actual points that you would get if you read the article. It just tells you what you would learn if you read the article. I’ve seen it do better. Well, what
Mark Kinsley: are some use cases? Okay, so Magnuson, you’ve, you’re in the tech scene, right? You’re in the Silicon Valley, you know you’re in San Francisco.
Mm-hmm. , it’s hip. It’s cool. You’re surrounded by people that during rush hour, it looks like a futuristic video with all the machines that people are riding home to
Mike Magnuson: work on. Yeah, it’s mostly hoverboards. People
Mark Kinsley: are riding around Marty McFly Jersey.
Mark Quinn: Personal drones, flying . What
Mark Kinsley: are, what are some of the, like being in the circles that you travel in and the talk about chat, g p t, give us your take on it and the take that you’re getting from some, some of the bright minds that you interface with.
Well, I mean, I don’t know about any
Mike Magnuson: of that, but, but my take on it, um, I don’t know that it’s, it’s necessarily competition for like mattress companies for example. Uh, cause that was one of the questions that I had been, Um, prior to this, this podcast, but it, it does represent, I think, potentially competition for what we do because it’s really just taking it, it’s an information creator essentially.
So it is both competition as well as potentially a channel in the same way that Google is. One of the things that I think is completely undetermined at this point is that like when Google came out and basically said we’re gonna. The web and make it more searchable. The quid pro quo, which by the way, many publishers still didn’t feel was good enough.
The quid pro quo was we’re gonna put your content on our search results page, but the quid pro quos, we’re gonna link to it. So we’re gonna ultimately drive traffic to your website if people wanna learn more about than, than the brief snippet that we put on our search results. So it was not only cited, but it was also linked to and, and again, that even that pro quid pro quo for many years, and even now, a lot of publishers feel it isn’t good enough.
It’s like they feel like they’re getting the short end of the stick, and the more that Google takes content off of your page and puts it on their page, like with this knowledge graph stuff or some of the rich snippets that they feature in their results. The more that disgruntlement grows. Well, this is taking that to its logical extreme, right?
This is taking entirely, all the sourcing and all that stuff is gone. All the attribution, the linking is gone. But it make no mistake, it’s still is based on your content as a publisher. They, this thing has no inherent intelligence. All it’s doing is crawling the web the exact same way that Google. And then instead of spitting back a list of what it considers to be the best pages about this query, it’s synthesizing the information on those pages and spitting back to you, uh, paragraph in human readable English that summarizes or answers that query.
That’s what it’s doing. But as a publisher, what is completely still to be determined is how are they going to get attribution? What will be the quid pro quo that makes that acceptable for the original content provider? I
Mark Quinn: don’t know that there is any answer to that. Is there, because if you’re asking not yet to, if you’re, if you’re asking it to write a summary, Of content.
The summary in and of itself is original content. Right. And even my son, I’ll tell you the re the crazy part, Nick, a senior in high school, he’s got friends using it to write papers. And normally you can put a paper through a filter and it will tell you if it’s plagiarized. Now, you know, with Che G P T generating all original content, you’re like, crap.
Like, you know, that’s a concern. Right? But
Mike Magnuson: taking in a a work and summarizing it is still plagiar. That’s still a form of plagiarism. Hmm. So, so this is yet to be, this will get played out in the courts, like once this becomes revenue generating, like once Google steps into this and starts putting ads against this type of content, or Microsoft.
I mean, uh, Microsoft is a backer of chat, G P T, uh, but they haven’t yet tried to monetize any of this. Once that starts to happen, I guarantee this will be heavily litigated in the courts. Um,
Mark Quinn: So Mark on that note, so there’s that issue, but you know, you’ve played around with it, you’ve shown us some things you’ve done here just today.
Talk about Mark for us. Like what do you think like the application of this kind of technology could be for someone in the mattress industry, either on the retail side and the manufacturing side? Mike, wanna come to you next.
Mark Kinsley: I think what I noticed, uh, whenever I was doing some research around application, like how people are actually using it, uh, there was a, a video on TikTok, and by the way, the FAM is on TikTok now, so you can follow us.
That’s right. And so on the video there was a, a young lady, she wanted to write a letter to her. about why she should get her deposit back. And it wrote it in very legal sounding language and was very compelling. So it was, it was that, and then I noticed somebody who was pasting a piece of code, so like programming code, and they pasted it into JA Chat G P T, and they said, Find the bug in this code and chat.
G p t identified the bug in the code and spit it out with the correction. Um, and then, then there’s, you know, like a lot of social networks and new tools. There’s all the funny stuff you can do. That makes people laugh, but it’s, it’s the application of like the real work that’s being done, um, that kind of takes you from funny to like, oh my gosh, this can actually be useful.
I mean, it can, you can ask chat g p t to, uh, You know, tell you, um, for example, do take, take a bi, you know, make this sound like a biblical verse, explaining how to remove a peanut butter sandwich from a VCR R and it’ll spit out. And it came to pass that a man was troubled by a peanut butter sandwich for it had been placed within his V C R and he knew not how to remove it.
And he cried out to the Lord saying, oh Lord, can I remove this sandwich from my VCR for it is stuck fast and will not budge. Like stuff like that’s funny, but you gotta think, okay, when it comes to content creation, and just like you described Mike, whenever you’re thinking about how to absorb inputs and then make them outputs, that’s been a big disconnect between the internet and the human being has always been the interface.
Sure. Like we’ve been the ones in the middle who’s like, okay, I still have to go out and read these things and then I have to pull ’em in and I have to synthesize it into something meaningful and and provide an output, whether that’s content or videos or product ideas or code or whatever it might be.
And so I think the big piece of application for this right out of the gates is gonna be okay. I can actually shortcut the process and give myself something to react to. I might still need to be the. Who makes it meaningful for my industry, but it really does. I mean, for me, like in a higher level sense, say, say to me like, okay, the one who now masters, how to apply this type of knowledge is the one who is going to maintain relevance.
Mm-hmm. , because I think you’re right, Michael, when it comes down to it, I mean this is gonna play out in the courts. There’s gonna be all kind. Uh, there’ll be all kinds of lawsuits and litigation around, uh, plagiarism and, um, you know, the source from which chat g p t is pulling that information. Uh, there’s gonna be a lot there.
Um, so I think for now let’s have fun with it. And also re recognize, um, how you can make it meaningful for your business, while also not making it something that you could be liable for in a court of.
Mark Quinn: But you, you know, but Mike was talking about summarizing content, right? So the the cool thing too is you can just say it’s original content.
Say, write me because I did this, write me a 500 word blog post about the impact of sleep on athletic performance and do it at a fifth grade level and it spit it out right away. That, that’s not summarizing an article that is, that’s not
Mike Magnuson: summarizing an article. But, but I still think the courts are gonna have to decide.
what? So if a human did that, if a human went in, like did primary research, well actually it’s not really primary research. I guess it’s secondary research, reading a bunch of articles and then summarized like maybe coming up with a list of the 10 best podcasting tips or something like that. Put it in their own voice.
I was probably compiled from like a bunch of lists of how to create better podcasts. So if a human did that, you wouldn’t ever, you can’t imagine that being a big court. Partly because, uh, a human went in there and presumably made decisions that only a human is capable of making. But also because it would be like one human can only have so much impact with, so with one article that it wouldn’t be sensible to litigate that in court.
But if that human was like the superhuman like that, that could go do that, like summarize every article on the internet all the time, uh, then it will start to become. Uh, not just summarize an article, but summarize 10 articles into one. Then the people who wrote those articles would rightfully start to say, Hey, like, he’s using my stuff.
He doesn’t know anything about podcasting. I was the one who wrote the article. He, I, I should deserve a 10th of what he got from that. Compiling 10 articles into one because he used my article as one of his 10 sources. And there would be a court case to decide, well, was that okay that he did that? And so that’s, and, and then I think the question of whether a machine, if a machine does it, is that different than when a human does it?
That’s a separate question that needs to be answered as well. Well,
Mark Quinn: I, I’m not an attorney, but to push on that a little bit, there’s no possible. That anybody will be able to understand the source, the original source of the information that chat, g p t summarized to create the original content, right? So you’re not gonna know, I mean, it could be, you know, 10 different articles about how to make a better podcast, but how are you ever gonna know where they borrowed information on to create that content?
Mike Magnuson: It is hard to unearth because it’s all wrapped in this machine learning algorithm, however, What we do know is they got it from somewhere. Right. So it didn’t come out of some inherent, that’s the thing that makes it different when it’s a machine, not a human. Yeah. Like there’s no argument to that. They could make that, oh no, no.
The machine just knows how to make good podcasts. So, so
Mike,
Mark Quinn: think about it in, in your terms, right? So good bed.com, or think about people with their own websites, like how do you apply the technology? The application to what? A mattress, retailer or a manufacturer, how could they use it? Like what do you think about that?
Mike Magnuson: Well, I think what, what a lot of people are talking about is seo. Like, can you create good content that would be useful for humans, um, more efficiently than you could otherwise? Uh, so that’s, that’s something that I think people need to look at. Like, maybe if there’s things that you thought, oh, I would, I would definitely like to do this from an SEO stand.
But I’ve never been able to, it has never made sense economically to have humans go ahead and create such and such type of content. This might be an opportunity to think, Hey, is this something that I could use chat G B T to create this for me? Because it definitely changes those economics. That article that might take a human two hours to write can take 10 seconds.
In chat g b T and be essentially free. But it’s gotta be, it’s gotta pass that test of is it useful to humans? And so that’s, but that’s something to think about for sure. So SEO is a definite case that a lot of people are talking about.
Social media, by the way, is another thing. Like, that’s something that we’re thinking about too. Like, one of the things I dread is like coming up with like, things to post on social media. Like I, I’m just. Uh, a prolific social media poster by nature. So the idea of coming up with, Hey, this is, this is, even if I know what I wanna post writing the paragraph that sort of introduces it on social media is, takes me longer than it should, or, than it feels like it’s worth to me.
But that’s probably something I can use chat g b T to help me with. Write a friendly introduction to this article, uh, in, you know, I could probably figure out ways to coach chat g p t to do what I wanted to do in those instances. And it can be about a really handy tool. Read
Mark Kinsley: about a college professor who taught core MBA courses and part of the essay response to a test.
He put it through chat, G p T and apparently was able to look at. not knowing it was chat GPTs who kind of mixed it up in the, in the different papers. And it was a plus work on, on many elements, on many essay questions. Do you guys wanna look at, uh, you wanna look at some more examples here? Yeah. Yeah.
Okay. Okay. So one thing I did, I was like, Hey, write a poem about mattresses so we can read a couple lines, a mattress, soft and warm, a place to rest and feel. It holds us tight through Darkest Night and Craus cradles us till morning Light. Quinn, take this one. It’s
there
Mark Quinn: to ease our aching bones and mend our way hearts and bones.
It’s more than just a bed to sleep. It’s where we dream and memories. Keep Magnes and go. A
Mike Magnuson: mattress is a friend to all, it’s there to catch us when we fall. It’s where we find our peace and rest, and where our worries come to rest. I don’t like the rhyming with two words in the same, you know, the same word.
That’s, that’s,
Mark Quinn: that’s weird. Don’t ruin the vibe. Kinsley, keep
Mark Kinsley: going. . Yeah. I think, uh, I, I hear you Mike. Maybe we could tell chat. G p t, like. Needs to do it differently if we could come up with the words and the inputs. You got the same thing coming
Mike Magnuson: in this next paragraph. It’s uh, they’re rhymes,
Mark Kinsley: than’s, just a simple thing.
It’s where we find the joy that brings. So let us thank our mattress dear for all the comfort it holds dear.
Mark Quinn: And when the night is dark and still, and all around is calm and chill, we’ll lay upon our mattress soft. You’re moving it. Where did
Mark Kinsley: it go? And dream of all the things we’ve got
Mark Quinn: and dream of all the things we got.
Hey, it would take us a hell of a long time to write a poem about a mattress. Come on that did it. In what, like four
Mark Kinsley: seconds? Yeah. Yeah. Tell me a joke about mattresses I per second.
Mike Magnuson: That was good, but quality overall, not so good. Not so good.
Mark Kinsley: You’re
Mark Quinn: too hard. This is, Hey man, what’s wrong with you today?
You’re like all like throwing daggers. Like, come on,
Mike Magnuson: lighten. No, no, no. I’m, I, I, I think it’s important to understand because I guess this maybe is partly where I’m coming from in, in my universe. Like we’ve already, like I was one of the first five days of people to sign up for this. Like it was a, it was a, it’s been a big thing here since the second it came out, and it’s kind of seen as like this transformative thing.
But I think it’s also, and, and it is, and I don’t mean to undermine that, but it’s also important to recognize like what the limitations are of this. Yeah. That’s all. No, no doubt.
Mark Kinsley: No doubt. Well, speaking of limitations, uh, we’re up against the clock because we’re trying to keep our podcast below 20 minutes and we’re already six over.
So, um, look, here’s the deal with, to summarize it, chat, g p t, we’re still exploring it, but you can see some of the use cases and some of the potential on some of the threats. That could really make it problematic for, for businesses, for content creators, for people in the marketing space, but also like, I just like this idea of.
Short cutting the, the prompt. I mean, the tyranny of the blank page sometimes is really tough for people. So it is just like anything else. I mean, if you could find a search engine or a way to feed yourself more inputs more quickly to give yourself an advantage and then synthesize that into your authentic voice, I think you might be onto something and then who knows where this goes?
You know, we showed you the code example. People that are doing computer programming. Um, but tell us like, Hey, hop on and go to fam.news. Drop us a note. Uh, hit us up on social. How are you using it? What are some of the craziest things you’ve seen it do? We would love to hear from you because this is gonna be a moving target.
Mark Quinn: Love that and play around. Yeah, we wanna hear it all. So, Michael, Yeah, you can just like with your new podcast series, um, you can translate it all into the written word. This is what we’re gonna do. We’re gonna translate all your shows into the written word, and then we’re going to ask chat, g p t to uh, re um, write everything but with satire in the form of Chichen Chung movies,
So that’s what we’re gonna do, and we’re gonna post all your content
Mike Magnuson: that. All right. That’s
Mark Kinsley: good. I like it. . Alright. Hey Max, before we go, give us, give us one like headline or a couple of headlines from your, from your new podcast season three of the Mic It Up podcast. Okay.
Mike Magnuson: Well, we’ve, we haven’t recorded many of them yet.
Uh, but, but the one that, the first episode, uh, Is going to feature Seth Basham from Wedbush Securities. He’s their hardlines retail analyst. So he covers all the pure play mattress companies like Temper, Sealy and Pure Purple and Sleep Number, but also some other peripherally related ones that sell mattresses, Wayfair Home Depot, Lowe’s, bed Bath and Beyond and and so forth.
But also even just other categories of retail that I think are, have analogs to the mattress category. So he’s really helping us frame out. Season three by, by giving his outlook for what kind of economic environment are we in now and where is, where are things headed in 2023. And he gives a lot of really great information, uh, in that regard and some surprising pieces of information about, um, what he sees in the numbers as to like where we are in the pandemic hangover and where we are just in, uh, more of a secular consumer demand cycle.
And so I think it’s gonna be some really interesting information for people to, to, um, to.
Mark Kinsley: That’s excellent man. We’re glad you’re back for season three, you and Cass, and a host of good guests. And like I said, go to fam.news. Make sure you subscribed and you can get to the mic it up podcast mags. Thanks so much for being, uh, back on the show to chat about chat G
Mike Magnuson: p t.
My pleasure and sorry for being negative. I will not, I’ll bring more positivity next time. Whatever it is we’re talking about, you’re keeping it real activity. Don’t go,
Mark Kinsley: don’t take a turn in negative
Mark Quinn: town with me. You’re you’re, you’re keeping it real. My stop. I’m
Mike Magnuson: positive guy, so I don’t like to be bringing
Mark Kinsley: No, you’re keeping I’m bringing it back.
Positive. I’m the contrarian voice. It’s okay. That’s,
Mike Magnuson: that’s all I was
Mark Quinn: going for. And if you’re listening to the show, don’t forget, tell your friends about it. It’s a campfire. Bring ’em along for the ride and. Listen to us on Spotify, iTunes, and give us that big five star review. Give a five star review for that.
Mike
Mark Kinsley: Magnuson guy. He’s worth it. He doesn’t like reviews really though. No .
Mike Magnuson: It’s a fad.
