Episode 12: SXSW

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Quote of the Episode

“Being able to take what you’re creating and feed it in and then see how it (Chat GPT) can like round out, add to it, edit it, condense it down, like close gaps and things. It’s like this, this would’ve taken me, you know, a couple of hours to go and research and do, and this has exhilarated that process exponentially to worse.”

Tim Lowry

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Transcript

Tim (00:00):
So Robbie, you just got back from the future of marketing. What do we need to know?

Robbie (00:05):
Where we’re going? We don’t need any roads.

[Intro]

Robbie (00:20):
Okay. Hello everyone and welcome to the Content Community and Commerce podcast, where Tim Lowry and Robin Fitzwater. We talk about topics at the convergence of content community and commerce. And today we have a, a little bit of a recap episode.

Tim (00:34):
Yeah, you just, we joke like you got back from like the future of marketing, but you kind of, you kind of did. You were at South by Southwest, so I have not been fortunate enough to get over to that. What, what the heck is it?

Robbie (00:46):
So it’s basically a bunch of people who really like marketing and kind of nerd out on it. It’s basically a conference that has a lot of different tracks, but mainly focused on what’s coming through, what’s the future of marketing, what’s the future of channels, how are marketers and people gonna communicate in the future? And also kind of like what technology is gonna help us enable that.

Robbie (01:10):
So, got to see a lot of really interesting things. A lot, a lot, a little bit fried right now. A little bit burn out. I’m not gonna lie.

Tim (01:17):
I get, I’ve seen it this week in the office. It’s like this glossed overlook of like, what did I just see? What’s the question? ?

Robbie (01:24):
Yeah. Yeah. It’s like mix of like Hangover and Jack Sparrow all in one and it’s not as much hungover, just like a little bit shell shocked, like seeing like sensory overload. I think I can normally handle a little bit more than most people, but this was a lot. But it was, it’s always fun. I think I’ve gone since about 2014 and learn a lot every time and basically go with the intention of coming back with more ideas than I can bring to life in a year. And that’s, I think, gonna be the case this year too.

Tim (01:54):
Yeah. So I think for like, for this episode, I want you to unpack a little bit of like what got you excited. Like, I know you wanted to a bunch of different stuff, but what were, what were the things where you left and you’re like, oh yeah, this is, this has got me hot and bothered. This is gonna be good.

Robbie (02:09):
Oh, this is, this has got me breathing really hard. . so was fascinating to kinda see the overall themes of where you kind of like where things are heading. A lot of different years you can kind of pull off like what’s gonna be the, what’s gonna be kind of relevant, what’s gonna be helpful in the next few years. Last year was like, NFTs were like everything and Web 3 was a big deal. Metaverse was a big deal. Those haven’t necessarily panned out, but this year, like AI was really kind of one of the dominant players in it. And how we as marketers can incorporate AI into our, into our learning and process.

Tim (02:44):
And I think we’re already seeing, like before the conference happened, like that’s already unlike Web 3 and NFTs, like it’s, it’s skyrocketing. Like the usage is crazy right now.

Robbie (02:55):
So again, AI and how we interact with that as marketers and how we kind of incorporate it is gonna be a more and more important topic. And that’s where like could see, see it from a lot of different angles. So had media organizations like the BBC and AP Newswire talking about having discussions about how they’re going to like, again, use AI and understand AI in media and news publications also have like groups like Buzzfeed talking about how they’re incorporating AI into their creative process, which is really kind of cool. But it’s really a overarching theme of like, again, taking some of the commodity work off marketer’s plates and really incorporating that, letting people do the higher level work where the commodity work can really be done by an AI system and really working together like it being, it being a partner in the process.

Robbie (03:47):
Again, saw that theme over and over in honestly in a lot of ways, like validated a lot of the, like, the conversations we’re already having.

Tim (03:53):
Yeah, we’re, we’re trying to figure our way around this too. And at the start is like, I hate this AI thing and now I’m seeing the productivity benefits of where like, where my brain bandwidth runs out to have something else start generating ideas for me and things that can just say it a little bit differently than I might have, like feeding it and giving it the right prompts. Amazing. And it is, it’s just gonna get better. Like this is, it’s still in its infancy. So I feel like a year from now if it continues to like go at this pace, I can imagine that it’s gonna be game changer for many.

Robbie (04:32):
Yeah. And the way that people are thinking about AI is really kind of again, evolving and changing fast and we’re still in our like, the early, early stages of it. But I think it’s really fascinating to see how groups have used it. But again, to your point, like validating, yes, everybody’s trying to get a at their handle on it. Everybody’s trying to get used to it. Again, there may be some apprehension at first, but we’re not us against the robot. It’s us with the robots and like if we can, if we can really embrace it, like we can all win together. Yeah.

Tim (05:00):
Which, so which, which robot was most popular there? What was it like chat GPT 3? Did they give a peak of like GPT 4, which is coming or Bard or anything like that?

Robbie (05:10):
So there wasn’t as much of a presence of like an open ai, didn’t really see anything from them. Did not hear Bard once Bard. So, so love goon, love to Google. Did not hear Bard once. Um but it is, it’s fascinating to see kind of like how those, that’s playing out. But chat GPT really did dominate a lot of that conversation cuz that’s just so normalized in everyone’s, in everyone’s interactions. And then even understanding how they can use like AI tools to even moderate content on those platforms or moderate what’s going on in different areas. It’s a really, machine learning and AI is, is becoming more and more a part of our daily lives. And we see it really in stark contrast with the generative AI right now. But we’re gonna see more and more of this moving forward. And that, again, overarching theme, anything involving AI also was also kind of code for like, this session’s gonna be pretty full.

Tim (06:06):
Yeah. , it’s like those were the, the ones you had to ate. Like did they go beyond written content like AI and visuals, so like image creation, video creation. Hey, it’s, it’s crazy. The stuff that I’m starting to see come down the pipeline.

Robbie (06:22):
The video side was really cool seeing groups like buzzfeed, like when you would take a Buzzfeed quiz in the past, like you would have like, again, a certain number of pro, like a prompts and you’d have a certain number of responses that are already keyed up. They can give custom responses within each one of those Buzzfeed quizzes mm-hmm. , which was really fascinating because it’s like, wow, this is really getting into thi into things at a scalable level, but that incorporating that into like real time conversational feedback was really cool. Again, chatbots were a big deal for a little while, but if that technology can really be incorporated there, like that can be a legitimate marketing use case for this that doesn’t just like freak everybody out. Mm-Hmm. . So it seemed really neat in some of the applications.

Robbie (07:06):
But yeah, a lot of, a lot of talk about how content is gonna keep growing, but the commodity content is gonna be more and more deprecated because it’s competing against great people. When great people can work with great technology like that is gonna make for some really elite level content where if people are not doing that or only using one or the other, it’s gonna be a distinct disadvantage for those individuals.

Tim (07:32):
Yeah. And again, I think around just my own personal uses of it recently, like I still don’t trust it enough to just create this entire piece of content, but being able to take what you’re creating and feed it in and then see how it can like round out, add to it, edit it, condense it down, like close gaps and things. It’s like this, this would’ve taken me, you know, a couple of hours to go and research and do, and this has exhilarated that process exponentially to worse.

Tim (08:03):
Like now I’ve got something where, you know, I’ve just claimed back an hour of my time in, in what I’m doing. So I think productivity is gonna be a huge, huge win for marketers, like the use of this.

Robbie (08:14):
Yeah, I think any, like, any value unlock, like anything that can give us our time back is a real win. So this is seems like a in in line with that. Yeah.

Tim (08:23):
All right, next one. So we went from AI to like, I feel like you mentioned data some as,

Robbie (08:29):
Okay, so this was, this was a fascinating piece, was there were so many people there, so interested in advertising. Again, advertising is a large portion of the marketing budget.

Tim (08:40):
Yeah, yeah. It’s a huge business span.

Robbie (08:42):
So marketers, again, trying to understand advertising and we again kind of alluded to this in our, in one of the conversation a few, a few episodes back in our attribution, our marketing attribution episode. Mm-hmm. , it’s really tough and it’s getting harder and harder and everybody’s trying to understand how do they adjust and change as platforms and channels become more and more of walled garden. So like Apple, not necessarily Apple, hanging their hat on privacy makes it difficult for others to get full accurate attribution and really letting go of that, that perfection and attribution is one of the things I kept seeing over and over is, hey, we’re never gonna have this like perfectly clean exactly precise data that we had in like 2015 because platforms and strategies have evolved and changed.

Robbie (09:32):
Like we great, we had a lot of great tailwinds around like Facebook ads and Google ads, search ads, but that’s a, that’s a world we used to live in. We don’t live in that world anymore. Yeah. And we need to as marketers really start to get more holistic in the way we think about the marketing experience and not just, Hey, let’s never about ads like it.

Robbie (09:54):
A lot of groups got in really into first party data, which I thought was really fascinating. I heard first party data a lot mm-hmm. which again, you and I both know, like Yeah. It’s kind of important .

Tim (10:04):
Yeah. It’s, it’s a big deal. And I’m just thinking here, like any performance marketers that are listening to this, like this is probably like starting to make them like, you know, sweat, pull the collar a little bit. It’s like, stop talking about this. It’s like.

Robbie (10:15):
Yeah, yeah. Don’t, don’t,

Tim (10:15):
Don’t tell us this is coming.

Robbie (10:17):
This elephant in the room is, is is getting bigger and getting fatter and like, we’re just gonna ignore it till it gets so big it’s gonna push everybody out of the room. But.

Tim (10:25):
Within the last like two months literally on like client calls, the amount of conversation it’s been around like attribution rate lately is it’s like it’s trickling down and it’s not, it’s not at like a landslide level just yet, but those that are watching that closely, they’re starting to find it much harder and they’re, you know, kind of scrambling for new tools. It’s like, I’m, I’m trying this tool out to see like, will it better tell us like how all of this is working? Like everybody’s just trying to figure out like, how do we continue to do marketing as we currently do? And I think it’s like, you, you won’t, it’s it’s, you gotta trust it differently.

Robbie (11:01):
Yeah. And, and having a, having a, a full, like, again, perfect attribution, it’s never gonna happen. But also like, it really cuts out like my big, my big hot take the hair and this piece is now this gets rid of the, the, this gets rid of the ability to be just a strictly tactical marketer. If I’m a strictly tactical marketer, I can do like the blocking and tackling of having successful AdWords campaigns, successful Facebook ads campaigns, but I don’t have a holistic view of my marketing. And if I’m a really strategic high level thinking marketer, I’m gonna have to do the heavy lifting of understanding how each one of these channels impact my customer journey, how these all work together.

Robbie (11:40):
And then also creating a system that I know that is going to give me directional insights where they may not be perfect. I’m gonna have the good, the good again, quantitative insights from the, from the, like, again, performance and qualitative insights from the, the feedback we get from customers and internal partners.

Tim (11:58):
Yeah. And I think it’s like a lot of things, like if you go back over, over history, and we talked about this again in our, our previous episode, it’s like marketers have had to pivot. Like this isn’t the first time that they’ve had to pivot. And it’s also not the first time where they haven’t had clean data. Like marketers back in the day worked with some pretty basic level information and managed to scale massive companies by what they’re doing. So I think it’s a matter of like just being comfortable and sitting in the mess a little bit and, you know, all of these things, we know our instinct tells us like we’re doing the right stuff and our revenue is going up and things are growing, so it’s working.

Tim (12:38):
Our instincts are telling us like, this is off and revenue’s going down, so this could potentially be it. So there’s gonna be a little bit more also relying on instinct along the way. And that’s, again, that’s not comfortable.

Robbie (12:49):
And that’s not comfortable, especially if you’re a young, especially if you’re a new young marketer or somebody who doesn’t really know marketing. Mm-Hmm. . That’s where, again, I think this is going to, it’s gonna raise the bar for what a marketer is and what a marketer needs to be, which is not gonna be a comfortable place for a lot of people to be. Yeah. So it’s gonna be uncomfortable out of the comfort zone, but I think at the end of the day, it’s a net positive for like good marketing because it’s, it doesn’t allow for that toxic perfectionism of one specific channel ruling them all.

Robbie (13:18):
Yeah. It’s gonna have, we’re gonna have a little bit more consistency in our strategy. We’re also gonna be thinking about different things that are also important in the marketing customer journey, thinking about revenue and growth completely differently. And I, I’m, I’m really fascinated to see how this, this shakes out because I think it is gonna be a unique space. But like you said, like we’ve killed like television. We found out we’ve, we made TiVo, we made TiVo a thing like, like, like we’ve found a way to fast forward through ads. Yeah. Like, has anyone seen a, has anyone actually cl clicked on a banner ad since like 1994? Yeah. Like all of these ways that marketers have abused in the past are no longer relevant. Yeah. And like, we like these ads channels that we thought were so great are not all they’re cracked up to be.

Robbie (14:08):
And based on incentives for platforms, like they’re not gonna grow the same way. Yeah. They’re just not gonna function.

Tim (14:13):
Yeah. The, the brands that can be, you’ve said this before, but just being more human. Like, you know, what do people actually want? Like how do we talk to them? Like people that know what they’re going through, where their pain points and problems are and how do we meet them along that versus just trying to shove stuff on them. Those will probably be the brands that do best. And they’re currently the brands that do best. It’s the ones that understand their customers. And whenever you understand your customer then you know, the rest kind of starts to fall, fall in place cause you’re creating what the customer wants. It’s like it will get there.

Robbie (14:49):
Yeah. And that first, first party data side, like, that’s where another piece is like I’m excited about. Cause I think, again, we focus majority of our time on email, but email strategy is in some many ways first party data strategy. Like that’s what we’re doing in a large extent is like, we’re strategically thinking like, Hey, what do we need to collect? How we’re gonna use it? And then how we’re gonna use it to get on our toes to really accelerate our marketing mm-hmm. . And if we can do that well, we can get to know our customers better and we can leverage that data in ways that we never would’ve in the past. And that’s what really makes some, takes good marketing. Makes it great marketing.

Tim (15:23):
Yeah. I love it. All right. And then this one that you shared with me, this is got you excited. It’s like your, your dream from years gone by. Like somebody has now finally like, started to put this into, into process.

Robbie (15:36):
Yeah, this is this one. This one had me like so, so full transparency. I’ve never seen a Star Wars movie, but this one had me like nerding out like I was a Star Wars, like super Star Wars fan. Like, nah. Star Wars. Chewbacca. It was while I lost my mind, but, okay. Basically what it is, is a platform. This group out of the UK came and brought a, a bunch of, essentially looked like.

Tim (16:02):
Crazy Brits.

Robbie (16:02):
Crazy Brits. But they were basically created a, a a platform or an app that basically would show a video or show a movie. And the movie was kind of like a build your own adventure. So you have like different points where it may go down one path and it may go down another path. As opposed to a choose your own adventure where like you flipped the page or you like ch pick it, select it your emotions picked it. So basically your facial expression, the way your eyes were moving, the way you were engaging and interacting with the content via your biometric data. That’s what picked the direction you were going in.

Robbie (16:38):
Which made it really fascinating to me because I’ve been really this biometric data that’s suddenly on our phones after iPhone 10. This has been a, a real thing mm-hmm. . But having access to that in a, as a marketer, like, great, this, this film was really cool and really innovative and really cool the way they did it. But being able to connect that biometric data with engagement, with like content like that is a whole new level of sophistication in the way that we can understand and train content. Like it’s adds a layer that I don’t think I’ve seen. And I’ve just been waiting to see this for years now. Cause I’m like, okay, as soon as we have this data, this biometric data, we’re gonna be able to see like, oh, your eyes dilate. Like, somebody’s eyes dilate here, somebody’s does this. Like again, this sleazy marketer with data . Um like I, I wanna, I wanna,

Tim (17:24):
This one has figured a way around the data.

Robbie (17:25):
I want to use it and abuse it. But it was really fascinating because like when you can use that in a forward-facing manner, like there’s so much you can do with it. Like Amazon can suddenly say, Hey your eyes are dilated and when you’re on your phone, your eyes are dilated. Or sorry, your eyes are glassy, you look a little bit pale. I’m gonna order you some DayQuil for tomorrow. It’s gonna be delivered tomorrow morning. Yeah. Like, this is a Ford facing way they can use this. But how about like, again, seeing how content performs. We see gr places like TikTok evolve so fast and that algorithm trains itself so fast based on your engagement with that content. We have that same thing here that could really learn and grow fast, but also now we can possibly use that for like a marketing research initiative where like, okay, suddenly like, Hey, why does your eyes dilate when you see this, when you see these pictures of My Little Pony? Like, I don’t, you may not act like you like it, but you may, you do.

Tim (18:21):
It’s it’s a Purple Tales .

Robbie (18:22):
It’s a storyline of the plot, I swear . But it’s really, it’s really unique and different because like this is suddenly taking our bio data and using it in a way that marketers can, that like could be valuable for everyone. So what was really ironic about this, this certain, again, installation or display is like, this was the, the whole premise of the video or the show they were showing was bringing to light, like the data that we share when we’re engaging it on online platforms. And I was like, you guys are making a really good social point, but you’re also like showing, showing some leg to some marketers. Cause like right now, like every marketer is just like over here like, Ooh, how do I use this ?

Robbie (19:05):
Like, ooh, I can use that. I can use that now. And everyone’s just, wheels are spinning . It’s like, it, it was so fascinating and I was just like absolutely enthralled by it because that’s kinda the future. And I have joked about an example I’ve like read about and heard about of like Cocomelon where like show I, okay Cocomelon. Cocomelon is the weirdest thing. And I, I wanna write a blog post about this. I need to sit down and do it. But Coco Melon, the way they test Cocomelon is they will have a child watch Cocomelon. Really? And they have a parent in the other room in a, in an adjacent room. The parent will be doing like an everyday task like making food or doing something else. If there’s any point that kid looks over and is distracted by what the parent is doing or doesn’t, isn’t fully engaged with Cocomelon, they will cut that scene because like they, the incentive for engagement is so high for them.

Robbie (19:57):
And as a marketer I’m like, okay, touche, good on, that’s good on you as a parent. I’m like, no Coco Melon in our house. Never. Coco melon is dead to us. Yeah. And it was, it was never never a thing to begin with, but it, thankfully, but I’ll get all like hot and bothered about this. But that is like, again, I thought that was so gangster in terms of the content, again, testing and evaluating and understanding, but like this takes that to a whole new level and really could do so many cool things from my.

Tim (20:24):
I’m already seeing like Uber Eats or DoorDash like collaborating with places that do it. And it’s like whatever ads that you’re served up or whatever you’ve viewed before dinnertime and then you arrive home and all of a sudden it’s like that product or that food that like got you excited. It’s like, oh man, somebody ordered me a curry. This is wonderful. It’s like delivered to my house.

Robbie (20:46):
Or, or even just suggesting it for you. Yeah. Even serving you up like five, three recommendations. Like okay, you seem like you seemed excited when looking at this. Like, if I’m on going through TripAdvisor or I’m overwhelmed, like you seemed excited while looking at this. Or Netflix. If I’m looking through, like for me, when I look on Netflix, if I’m trying to pick a show, it takes me 30 minutes to pick a show and I get to watch the show for like one minute.

Tim (21:08):
I was gonna fall asleep by the time I’ve like found the show.

Robbie (21:10):
Yeah. It’s impossible. But like, if they can again understand like how you’re engaging or how you’re interacting with something, like it’s gonna help you make dec it can help make decisions, it could help inform and inform what’s, what is the next step. But in so many ways, like I think that’s kind of the direction a lot of marketing can be go, can move in in the future. And again, while data is becoming more and more challenging to get, that’s something that a again is gonna be I think more and more utilized in terms of that biometric data because it’s suddenly available.

Tim (21:40):
Yeah. It’s it’s fascinating. It’s scary and it’s fascinating cause I’m even thinking like somebody gets an email from you and their eyes scanned down the email and then it can open a product based upon like, hey, you spend the most time looking at this.

Robbie (21:53):
And it’s like, and it’s, it’s so fascinating cause like, again, like Google could suddenly, like even for this, like Google could see like how, well, how accurate, like is somebody going down line by line by line? Is somebody actually reading something or they just scrolling to the very end? Like, is that going to be happening? And is Google, could Google use that as a way of.

Tim (22:11):
Or are they already doing, I’m just kidding. . Yeah. Or .

Robbie (22:14):
Are they listening? . But like, like theoretically like yeah, that could happen where like they like validate that somebody actually is reading and engaging with this content as opposed to just like skimming through. Or if they are skimming through, like where are the points they stop on. Yeah. And there’s just so much, so much insight.

Tim (22:32):
In the old days to protect yourself from marketers. Like the door to door sales man, it’s like pull the front curtains in the house so nobody can see. Now it’s like putting sticky tape over the camera on your phone. Yeah. Yeah, you can, I can’t let them see what I’m looking at.

Robbie (22:42):
You can’t unlock your phone with your face because you gotta keep the marketers away.

Robbie (22:48):
But that was just, that had my wheel spinning and like, there’s always lots of new technology there. Like the xr, like XR and Vr XR is like Extended Reality. Saw a lot of groups with stuff like that. But really that’s a place where like you can see some of these technologies in the wild and test them out and try them out. Like, I still am not a big fan, like VR or a lot of those technologies.

Tim (23:10):
You don’t, you don’t wanna walk down the street with your Oculus on your head or.

Robbie (23:14):
I, I, to to you Tim.

Tim (23:16):
I like to stir this one up every time.

Robbie (23:18):
Okay. Okay. We share an office. Like I have an Oculus. I, it’s right here. I’ve never used clicked. I I rarely use it. Like I, I presented, I gave a presentation in like a metaverse environment and I didn’t use the Oculus cause I don’t trust it. it doesn’t work.

Tim (23:31):
You don’t want Mark in your head.

Robbie (23:33):
Yeah, yeah, yeah. It doesn’t it do like, like Mark, like make this thing work. Mark, mark is Z like make the thing work for me . But it really just doesn’t, it’s, I’ve never been able to trust it and like, Hey, I’m giving a presentation to other people wearing Oculus in a metaverse. Like, shouldn’t that technology work there? .

Tim (23:51):
But the, but the thing that like you’re sharing like with like XR like the extended reality, so that’s more of like an overlay of what you’re, you’re doing. So like you might be wearing glasses and walking down the street, but it’s overlaying whatever’s going on. So like, again, it’s reading your biometrics and it knows from earlier you read that you were hungry and all of a sudden it’s like pointing off in the distance. You know, this is 300 feet ahead, here’s a restaurant, it serves what you want. Then it’s like a map overlay in your lens. Is that the kind of thing that you’re thinking of?

Robbie (24:22):
So, so, so that kind of thing is, is is right in line with it. It’s like imagine like a Pokemon Go on your through your glasses. And like Niantic was one of the groups I even saw that had a lot of that use cases. One of the bigger use cases for stuff like that is going to be like warehouse applications. Mm-Hmm. Or even like more like business focused applications. So like if I’m a surgeon, if I can have a checklist of things on my glasses where I don’t have to consistently reference something.

Tim (24:47):
Yeah. Open the left side .

Robbie (24:49):
Yeah. Like the training there or the, or the application of it would be so unique and different. Or like a warehouse environment where like they’re looking for something, trying to find a specific item. They can know exactly what they’re looking for without like going back and forth between like their phone and a screen. Yeah. So it’s, it’s a really unique use. It’s a really unique space, but, and I think that’s gonna be more normalized, but like, the normalization of it probably from like a use case standpoint. Like how is it gonna make my life easier is gonna happen before like, the cool factor of like, I wanna do this for fun.

Tim (25:19):
Yeah. I feel like each of those things is like, a couple of them were already like experiencing and I feel like ai, like we’re like, it’s right there, it’s immediate. Like people are seeing it, they’re using it, they’re in it, the data. We’re aware that this is like coming and people are starting to see that more and more. And then these other things are like, they’re exciting things that are on horizon. So like we said at the very beginning, it’s like marketing’s gonna pivot and change a ton. And as marketers it’s like knowing, knowing how to move and shift with that is like gonna bring the success. And it’s like the biometric thing could be amazing or depends on what your product is. Could be a really bad idea. It just depends. But like, it’s, it’s exciting to, to hear and see where this is gonna go and at the end of it, like, AI, I’ll just take over for album.

Robbie (26:05):
Yeah. They’ll figure it out. Yeah. We’re they’ll figure the data out. They’ll do the biometric. We’re just, we’re just gonna be hanging out and we’re gonna be like just Yeah. Feeding it. Feeding it grapes. Yeah.

Tim (26:14):
And be like cloudy with a chance of meatballs. We’ll be like riding around in chairs and like food falling from the sky whenever we’re hungry. So .

Robbie (26:20):
The dream, the Wal-E dream. . But, but yeah, I, I was super fascinated by it and like beyond like all of those things. Like had conversations with a lot of really smart people, met a lot of people from around the world. So that’s always another cool bit of it. It’s like so many people from all around the globe working in different areas. And it got me outta my comfort zone, which is again, this like email, like a D2C space. Like, so that’s one area where I was really happy with it cuz I just like get, gets me out of a rut, gets me thinking bigger and helps me see things through a different lens.

Tim (26:55):
I love it. Well thank you for, for going and sharing. Yeah. Now, now I gotta go next year to see it firsthand.

Robbie (27:01):
Yeah, we’re gonna have to, we’re gonna have to get you down there and, and to see, to see how to like what, what you think about it. If you nerd out like yeah, star.

Tim (27:08):
I’m sure I probably was . Awesome.

Robbie (27:11):
Okay. Tim, this has been a treat.

Tim (27:13):
Robbie always.

Robbie (27:14):
Okay, this is Tim and Robbie with the Content Community Commerce podcast. Again guys, I’ve been a little bit fried, so trying to rally here, trying to rally for you all. So this is a shameless opportunity for five stars or maybe three and a half at least.

Tim (27:27):
I’ll just round it up to four.

Robbie (27:28):
Let’s go with four. Four. The, the the Baker’s. Four . Okay. we’ll see you guys next time.

Tim (27:36):
Next time.

Robbie (27:37):
Okay. I didn’t stop this. Okay. Got it. Give some love to the people behind this. So Jim Mann for bringing this to life. Thank you very much, Jim. And then Carese and Edvina, the real brains behind MKTG Rhythm for, for the ones getting this published. So

Both (27:56):
(Singing) Thank you. Thank you for being friend, making our podcast go back again. Week after other week they published this cause I’m bad at it.

[Outro]