Moving Beyond Random Acts of AI

Marketing AI Radio, your shortcut to building smarter, AI driven marketing organizations. This show is hosted by digital personas Bailey and Kai, and provided by MarketingFrontier. ai. Hey everyone.

And welcome back today. We're going to be, uh, taking a deep dive into AI and how it's being used in marketing. Oh, we're looking at excerpts from. Moving beyond random acts of AI.

Oh, okay. Have you heard of that one? I have heard of that. Yeah.

It's really all about how to move beyond just kind of like throwing AI at a problem and actually using it strategically to get real business results. Yeah. I mean, it seems like everyone's talking about AI these days. It's everywhere.

Yeah. But are they actually using it effectively? Right. That's the question, right?

That's the big question. Like, everyone's jumping on the bandwagon, but is anyone actually steering? Exactly. And this source, it really dives into that, and they have this great term for it.

I love this term. They call it Random Acts of AI. Yes. Which I think is so perfect.

It's so perfect. Because it really captures that idea of, like, Just doing things with AI without any clear strategy. Just throwing spaghetti at the wall and seeing what sticks. Yeah, basically.

So what does that actually look like in practice? Well, What are some examples of these random acts of AI in the marketing world? You think about those chatbots that pop up everywhere? Oh, yeah.

Sometimes they're helpful, but often they're just frustrating. Totally. Because they can't answer your actual question, or they misunderstand you. Yeah, like they're not actually intelligent, they're just following a script.

Right, and that's a classic example of a random act of AI. Throwing technology at a problem without really thinking it through. Yeah, exactly. So what are some other examples?

Well, you know Uh, they talk about AI generated content that's just stuffed with keywords, but lacks any real substance or originality. Oh yeah, like those blog posts that are written for robots, not humans. Exactly. And then there are all those fancy analytics dashboards that are packed with data, but don't actually help marketers make better decisions.

Yeah. You can have all the data in the world, but if you don't know what to do with it. It's useless. It's just noise.

Right. So how do we get out of this random ax rut? Well the good news is. Hit me with the good news.

There's a way out. Okay. This source lays out a four step framework to help companies move from this kind of haphazard AI implementation to a more purposeful approach. Okay.

I like that purposeful approach. Yeah. So what's the first step? The first step is to identify and eliminate the random acts that are already happening.

Okay, so like taking inventory of all your AI projects. Exactly. And seeing which ones are actually bringing value and which ones are just taking up space. Yeah, it's like decluttering your AI, so to speak.

Love that. So you can really focus on the things that matter. So how do we go about this AI decluttering process? Well, the source recommends conducting an AI audit.

Okay. Which basically means taking a hard look at every AI project you have in place and asking some tough questions. Like what? Like what's the goal of this project?

How does it align with our overall marketing objectives? Can we actually measure its impact? Is it moving the needle? Exactly.

Okay. And if the answer to any of those questions is no, or we're not sure, then it might be time to refine the project, or even hit the pause button altogether. Okay. So it's about holding your AI initiatives accountable.

Yes. Just like you would any other marketing activity. You wouldn't just throw money at a billboard and hope for the best. Right.

You'd track your results and see if it's actually working. Right. And it's the same with AI. Okay.

You need to make sure it's actually delivering on its promises. There's a great case study in the source about Adobe. And how they went through this process. Oh yeah.

Adobe's a great example. Can you tell us about that? So Adobe realized they had a ton of AI projects running. Mm-Hmm .

But they weren't all aligned with their core business goals. They were just kind of doing AI for AI's sake. Yeah, they were kind of caught up in the hype, right? And they decided to take a step back and ask themselves What are we really trying to achieve with AI?

Good question. Yeah, and by doing that they were able to Streamline their efforts and focus on initiatives that really enhance the customer experience, which was their main goal So they went from AI clutter to AI clarity. Yes. Exactly.

Awesome. Yeah. And it's a great example of how taking the time to do an AI audit can really pay off. So what are some specific takeaways for our listener from this first step?

Well, first and foremost, create a comprehensive inventory of every single AI project you have running. Every single one. Yeah. Every chatbot, every content generation tool, every analytics platform, everything.

Okay. And then evaluate each project against your key performance indicators, your KPIs. Are they moving the needle in the right direction? If not, why not?

Are there redundancies? Yeah. Are there things you can consolidate? Okay.

And the goal is to develop a clear roadmap for either eliminating those less effective projects or bringing them back into alignment with your core business goals. So step one is all about decluttering aligning and making sure every AI initiative has a clear purpose. Yes. Yes.

Awesome. What's next? Step two is where things start to get really exciting because that's where we start talking about automation. Ooh, I love automation.

Who doesn't love automation, right? It's like having a little robot army doing all the boring stuff for you. Exactly, and that frees up your time and energy for more strategic and creative work. Right, because nobody wants to spend their days Doing mind numbing repetitive tasks.

Exactly. So, what kind of tasks are we talking about here that are ripe for automation? Well, think about those tasks that eat up your time, but don't actually require a lot of creative thinking. Okay.

Things like scheduling social media posts. Mm hmm. Sending out email blasts. It's pulling data for reports, you know, those kinds of things.

The stuff that makes you want to bang your head against your desk. Exactly. Those are perfect candidates for automation. Okay, so instead of spending hours manually scheduling tweets, I can train an AI to do it for me.

Right. While I focus on crafting the perfect marketing campaign. Exactly. It's about working smarter, not harder.

I love that. Yeah. Are there any specific examples in the source that illustrate this concept? They highlight some really compelling examples of companies using AI for high impact automation.

For instance, Spotify uses AI to automate those personalized playlist emails you get. Oh, yeah. You know, the Discover Weekly and Release Radar playlists. I love those.

Yeah, those are generated by AI. Really? And the result is a 40 percent increase in email engagement rates. Wow, that's huge.

So people are actually responding to these AI powered recommendations. They are, and it shows that automation doesn't have to be impersonal. Right, it can actually enhance the customer experience if it's done right. Exactly.

That's great. That's cool. Another great example is HubSpot. They automated their social media posting and monitoring with AI, and they managed to reduce manual effort by a whopping 75%.

75%? Yeah. That's insane! It is, and they were able to do that while keeping their engagement rates steady.

So they're saving a ton of time and still getting great results. Exactly. That's the dream. It is.

The source also mentions Coca Cola, who implemented AI powered campaign reporting. Oh yeah. And this saved their marketing team over 20 hours per week. It's amazing how much time you can save with automation.

It is, and they also improved data accuracy by 35%. Yeah, so not only are you saving time, but you're also getting better data. That's a win win. It is.

So it seems like the key takeaway from step two is that automation isn't about replacing humans. No. It's about empowering them to do their best work. Exactly.

It's about taking care of the mundane so you can focus on the extraordinary. I love that. Yeah. And that's a perfect segue into step three, where we start talking about more advanced AI applications that can really transform the customer experience.

Okay, now we're getting into the really exciting stuff. Yeah, this is where we start to see the magic of AI in action. I'm ready to bring on the magic. Right.

Lay it on me. What are some of these advanced AI applications that can really take the customer experience to the next level? Well, this is where we get into the realm of personalization, ad targeting, optimization, and even predicting and preventing customer churn. Okay.

That sounds pretty powerful. Yeah. It is. It's all about using AI to not just work more efficiently, but to actually connect with customers on a deeper level and build stronger relationships.

I like that. Yeah. So let's break those down one by one. Let's start with personalization.

Okay. I think we've all experienced personalization to some degree, whether it's getting recommended products on Amazon or seeing targeted ads on social media. Yeah, for sure. What's the bigger picture here?

How is AI changing the game when it comes to personalization? Well, personalization at scale is one of the most exciting applications of AI in marketing. Okay. It goes way beyond just recommending products you might like.

Right. It's about creating a truly customized experience for every customer, anticipating their needs and delivering the right message at the right time. So it's like having a personal shopper for every single customer. Exactly.

And the source highlights a brilliant case study featuring Sephora. Sephora, the makeup store. Yeah, they completely revolutionized the beauty retail experience with their AI powered personalization engine called Beauty Insider. Oh, yeah.

I've heard of Beauty Insider. I'm actually a member. Oh, cool. What makes it so special?

Well, it's a master class in data driven personalization. Okay. Their system goes way beyond just tracking your purchase history. So what kind of data are they looking at?

Well, they track your purchase history, of course, both online and in store. But they also collect data from those beauty profile quizzes you can take on their website. Oh yeah, those are fun. Yeah, and they look at your browsing patterns, how long you spend looking at certain products, what kinds of tutorials you watch on their app, and even your preferred method of communication.

So they're building a pretty detailed profile of each customer. They are, and that's where the AI comes in. It analyzes all of this data, identifies patterns, and makes predictions about what each customer is most likely to want. So it's like having a personal beauty concierge who knows exactly what you need before you even ask.

Exactly. And it's not just about product recommendations. What else do they do? They also use this data to personalize your entire shopping experience.

Like? Well, for example, they might send you personalized emails with product suggestions based on your skin type or the upcoming season. Okay. Or they might show you targeted ads for products you've previously browsed.

So, it's about making the entire experience more relevant and engaging for the customer. Exactly. But, does it actually work? Are people responding to this level of personalization?

The results are pretty impressive. Okay, tell me more. Sephora saw an 11 percent increase in average order value. Wow.

A 28 percent boost in conversion rates and a 35 percent improvement in customer satisfaction scores. So if people aren't just tolerating personalization, they're actually embracing it. They are. And it makes them feel seen and understood, which leads to greater loyalty and higher spending.

That makes sense. It's about moving from a transactional relationship to a more personal connection. Exactly. And it's not just Sephora who's rocking the personalization game.

Who else is doing cool stuff? Well, the source also mentions Amazon, Netflix, and Starbucks as examples of companies using A. I. to create more personalized experiences.

Okay, let's dive into those a bit, shall we? Sure. Let's start with Amazon. They're obviously known for their recommendations.

Yeah. But how are they using A. I. to personalize the entire shopping experience?

Well, Amazon's personalization strategy is like The gold standard in retail. Their system analyzes billions of data points. Billions. Billions to create a unique experience for every single customer.

That's crazy. They track your behavior in real time. So if you linger on a certain product page, their recommendations adjust instantly. It's like they're reading my mind.

Kind of, yeah, but in a good way. Yeah, not in a creepy way. Exactly, and they make sure the experience is consistent across all your devices. Right, so whether I'm on my phone, my laptop, or even talking to my Alexa, Yeah.

I'm getting the same personalized recommendations. Exactly, and it's clearly working for them. How so? Amazon says 35 percent of their sales are generated through personalized recommendations.

That's a huge chunk of their business. It is, and it shows the power of using data to anticipate customer needs and deliver a more personalized experience. Okay, what about Netflix? How are they using AI to keep us glued to our screens?

Well, Netflix is a master class in personalization, too. Okay. They use AI to tailor your entire viewing experience. Not just the recommendations.

So what are they doing? Well, they analyze your viewing patterns, of course. Right. But they also tag their content with over 3, 000 unique classifiers.

3, 000? Yeah. What are classifiers? Basically, they're like labels that describe different aspects of a show or movie.

Like genre, theme, mood, that kind of thing. Exactly. So they have a really deep understanding of what each piece of content is about. Okay.

And they use all that data to choose the perfect thumbnail image for each title based on your preferences. So you're more likely to click on something that visually appeals to you. Exactly. And they even adjust their recommendations based on the time of day and your likelihood of watching something right now.

So they're using AI to figure out not just what I want to watch, but when I want to watch it. Yeah. That's next level personalization. It is.

And then there's genre affinity scoring. Okay. What's that? It helps them figure out what kinds of content you gravitate towards.

Okay. And they even have watch time prediction models, which estimate how likely you are to finish a show or movie. Wow. They're really pulling out all the stops.

They are. And it's all designed to keep you engaged and coming back for more. And I'm guessing it's working. Oh yeah.

Big time. Netflix says 75 percent of viewer activity is influenced by their personalized recommendations. That's a lot. It is, and they've also seen a 20 percent reduction in subscriber churn, which is huge in the streaming world.

Yeah. Where competition is fierce. Exactly. So they're keeping people happy and subscribed.

That's the dream. It is. Okay. So we've talked about Sephora.

We've talked about Amazon. We've talked about Netflix. What about Starbucks? How are they using AI to personalize something as seemingly simple as a coffee run?

Well they have a sophisticated AI driven system called DeepBrew. DeepBrew, I love that. It analyzes your mobile app behavior, your location data, time of day, purchase patterns, even weather patterns to create unique experiences for their millions of customers. So if it's raining, They might suggest a comforting latte.

Exactly, and if you typically order a venti iced caramel macchiato with an extra shot at 8am on your way to work, they'll have it ready for you before you even step in line. That's amazing. And they also factor in your loyalty program interactions and any product affinities they've picked up on. It's like they're anticipating your every caffeine craving.

Yeah, pretty much. No wonder they have such a loyal following. Right. What kind of impact has this level of personalization had on their business?

Well, all this personalization is leading to some pretty sweet results. Okay, I'm listening. They've seen a 34 percent increase in mobile order revenue, a 15 percent jump in customer satisfaction scores, and a 25 percent improvement in promotional response rates. So, they're making more money, their customers are happier, and their marketing is more effective.

It's a win win win. That's awesome. And that's just scratching the surface of what AI can do for personalization. Right.

It's about understanding each customer as an individual and catering to their specific needs and desires. This creates a deeper connection and fosters loyalty in a way that generic marketing simply can't. Exactly. It's about moving from mass marketing to personalized marketing.

Where every interaction feels tailor made. Exactly. I'm convinced personalization is a game changer. It is.

But let's shift gears a bit and talk about ad targeting optimization. Okay. This is an area where AI can get a little creepy, right? It can definitely feel that way.

Like those ads that follow you around the internet after you've looked at a certain product. I know what you mean. It's like they're watching my every move. It can be a little unnerving.

But it doesn't have to be creepy if it's done right. Exactly. It's all about using data responsibly and ethically. Okay.

And the source provides a great example of how Starbucks is using AI to optimize their ad targeting in a way that feels helpful and relevant, not intrusive. Okay, I'm all ears, tell me more. So they're using machine learning to analyze customer purchase patterns and predict the best times to send out those tempting promotional offers. They're also personalizing ads based on things like the weather and local events.

So if there's a big game happening, I might see an ad for a special game day beverage or snack. Exactly. And if it's a sweltering summer day, they might tempt you with an iced coffee or a frappuccino. So it's about being contextually relevant and adding value to the customer experience.

Precisely. It's not just about bombarding people with ads. Right. It's about showing them the right ads at the right time when they're most receptive to the message.

That's smart marketing. It is! And all this data crunching has led to a 20 percent improvement in ad performance for Starbucks. That's significant.

It is. It means they're not wasting money on ads that people ignore. Right. They're reaching the right people with the right message at the right time.

Exactly. That's a win for the business and a win for the customer who isn't bombarded with irrelevant ads. Exactly. It's a win win situation.

Okay. So we've talked about personalization. We've talked about ad targeting optimization. Uh huh.

What about the last piece of the puzzle? Customer churn prevention. Oh, yes. The holy grail of marketing, keeping those hard won customers coming back for more.

Exactly. Churn is the enemy. It is. And AI can be a powerful weapon in the fight against churn.

Okay. Tell me more. How does it work? Well, Netflix, once again, is the undisputed champion in this arena.

Netflix again. Yeah. They're really good at this. They are?

Their AI powered retention strategy is seriously impressive. Okay, tell me their secrets. How are they using AI to keep their subscribers from jumping ship? Well, their system can predict potential churners.

People who are thinking about cancelling their subscription with an 85 percent accuracy rate. 85%! That's incredible! How do they even do that?

They analyze all sorts of data points including Viewing patterns, account activity interactions with their service. Like pausing or rewinding a lot. Exactly how often you rate shows and even how often you contact customer service. Wow.

So they're really paying attention to every little detail. They are. And once they've identified those at risk customers, they can intervene. With personalized recommendations, adjust the frequency of their emails or even offer a special promotion to entice them to stay.

So it's like a preemptive strike against churn. Exactly. They're not waiting for people to cancel. They're proactively reaching out to keep them engaged.

That's smart. It is, and it's working wonders for them. They've managed to reduce their churn rate by 25%. 25%?

That's huge. It is, especially in the streaming world where subscriber retention is everything. Right. So AI is helping them keep their customers happy and subscribed.

Which is ultimately what it's all about, right? Exactly. This has been a fascinating look at how AI is changing the marketing game. It has.

But we've still got one more step in the framework to cover, right? We do. And it's the one that ties everything together. The ultimate goal of all our AI efforts creating core business value.

Okay, now we're talking because at the end of the day it's all about the bottom line, right? Exactly. Step four is about using AI to directly impact both revenue and profit margins. And we've got some amazing examples to unpack, so buckle up.

Okay, so let's talk money. How are companies using AI to actually boost revenue and increase those profit margins? Well, the source breaks it down into two main areas. Uh, Revenue Enhancement and Customer Lifetime Value Optimization.

Okay. And they highlight some really cool case studies that illustrate these concepts in action. Awesome, let's dive in. Okay.

So let's start with Revenue Enhancement. What kind of AI strategies are we talking about here? One really interesting area is dynamic pricing, where AI is used to adjust prices in real time based on all sorts of factors. So it's like having a super smart pricing expert working 24 7 to make sure you're always getting the best price.

Exactly, and the source highlights Best Buy as a company that's really nailing this. Best Buy, huh? I wouldn't have thought of them as being on the cutting edge of AI. They're actually doing some really innovative things with AI.

Well, they've implemented this AI powered system that analyzes a ton of data in real time to optimize pricing across thousands of products. Okay, what kind of data are we talking about? They're looking at competitor pricing, of course. Mm hmm.

Local market demand, inventory levels in their stores and warehouses, historical sales data, seasonality, customer segment price sensitivity. That's a lot to keep track of. It is, and they're even factoring in things like weather patterns and special events that might affect shopping behavior. So if a big storm is headed my way, the price of flashlights and batteries might go up.

It's possible, and all this real time analysis means they can adjust prices instantly to stay competitive and maximize their profits. That's amazing. It's like they have a crystal ball that predicts shopping behavior. Right.

But does it actually work? The results are pretty impressive. Okay. They've reported a 10 percent increase in profit margins, a 15 percent reduction in inventory costs, and a 25 percent improvement in price competitiveness.

Yes. So they're making more money, saving money, and staying ahead of the competition. Exactly. That's a win win win.

It is. Dynamic pricing is definitely a game changer. All right. What other revenue boosting strategies does the source highlight?

Another powerful approach is using predictive analytics for sales. Yeah. And when it comes to predicting the future of customer demand Amazon is leading the pack. Of course they are.

It seems like they're at the forefront of every AI innovation these days. They really are, and their AI powered inventory management system is a perfect example of this. Tell me more. Well, it analyzes over 400 variables to forecast demand for millions of products.

400 variables? I know, it's mind blowing. My head is spinning. And they're able to do this with incredible accuracy.

Really? How accurate are we talking? Their system boasts a 95 percent accuracy rate. 95%.

That's incredible. It is. And this accuracy translates into some really tangible benefits. Like what?

Well, they've reduced stockouts by 30%, which means fewer disappointed customers. Right. And they've also increased inventory turnover by 25%, which means they're not sitting on a pile of unsold products. So they're making more sales, reducing waste, and keeping their customers happy.

Exactly. That's what I call smart retail. It is, and it all comes down to using AI to make better decisions about what products to stock and when to stock them. It's like having a crystal ball for your inventory.

Pretty much. Okay, so we've covered dynamic pricing and predictive analytics for sales. Mm hmm. What about the other side of the coin, customer lifetime value optimization?

Ah, yes. This is all about maximizing the total value a customer brings to your business over the entire course of their relationship with you. So it's not just about making a single sale. It's about building long lasting relationships with customers that lead to repeat business.

Exactly. And the source features American Express as a shining example of this. Amex. I wouldn't have thought of them as a leader in AI.

They're actually doing some pretty cutting edge stuff with AI to enhance customer relationships. Like what? Well, they've developed this sophisticated AI system that's all about understanding their customers on a deeper level and building stronger, more profitable relationships. Okay, how does it work?

It uses predictive modeling to identify high value customers who are likely to spend more and stay loyal over time. So they're using AI to identify their VIPs, the customers who are worth their weight in gold. Exactly. And they also have early warning systems that can detect when a customer is at risk of churning so they can intervene before it's too late.

So they're proactively trying to prevent churn by keeping customers engaged and happy. Exactly. And they're also using AI to detect fraud in real time. Which not only protects their business, but also builds trust with customers.

Okay. They also personalize rewards programs based on individual preferences, and they even use AI to assess credit risk more accurately. Wow, so they're using AI to optimize every aspect of the customer relationship. They really are, and the results speak for themselves.

Okay, what kind of results are we talking about? They've reported a 20 percent increase in customer lifetime value, a 35 percent improvement in customer retention, and a 25 percent reduction in customer acquisition costs. That's amazing. It is, it shows that AI can be a powerful tool for not only acquiring new customers, but also keeping them happy and loyal.

And spending more money. Of course. It's the ultimate goal, right? Right.

It is, and Amex isn't the only company doing this well. Who else is out there killing it in the customer lifetime value optimization game? Yeah. The source also mentions Nike and Walmart as companies that are using AI to great effect in this area.

Okay, let's start with Nike. What are they doing? Well, Nike is really focused on their direct to consumer strategy. Mm hmm.

And they're using AI to analyze consumer behavior across all their channels. Predict trends, personalize marketing, and optimize their supply chain. So they're using AI to create a more seamless and personalized experience for their customers from start to finish. Exactly.

And it's led to some pretty impressive results. Like what? They've seen a 30 percent ROADS direct to consumer sales, a 25 percent reduction in marketing costs, and a 40 percent improvement in campaign conversion rates. Wow.

That's huge. It is. Their AI powered strategy is really paying off. Okay.

What about Walmart? How are they using AI? They're using AI. Well, Walmart is all about efficiency, and they've implemented this AI driven revenue optimization platform that helps them squeeze every last bit of profitability out of their operations.

Okay, how does it work? It uses AI to forecast demand at the store level, implement dynamic pricing, analyze customer segments, and optimize inventory management. It sounds like they're leaving no stone unturned. They're not, and the results are impressive.

I bet, what have they achieved? Well, they've seen a 15 percent increase in revenue per store, a 20 percent improvement in inventory efficiency, and a 30 percent reduction in out of stock incidents. So they're selling more, Wasting less and keeping their customers happy. Exactly.

It's a win win win all around. This has been a fascinating deep dive into the world of AI and marketing. It really has. I feel like we've covered so much ground from understanding what random acts of AI are to exploring how AI can be used strategically to improve customer experiences and boost profitability.

And we've seen some really inspiring examples of companies that are doing amazing things with AI. We had so as we wrap up this deep dive, what are some key takeaways for our listeners as they embark on their own AI journey? Well, the source emphasizes three key things starting with strategy focusing on integration and scaling strategically. Okay, let's unpack those a bit So what does it mean to start with strategy?

It means having a clear roadmap for your AI initiatives Okay, you need to define your business objectives Identify the specific KPIs you want to impact and make sure everything's aligned with your overall marketing goals. So, no more random acts of AI. Exactly. It's all about being intentional and purposeful.

What about integration? Why is that important? Well, you want to make sure your AI solutions work seamlessly with your existing systems and processes. Right.

You don't want to create more silos and headaches. Exactly. It's about creating a cohesive ecosystem where all your tools and technologies work together harmoniously. Exactly.

And finally, what about scaling strategically? This means starting with proven use cases, building on your successes, and constantly evaluating and adjusting your approach. So don't try to boil the ocean all at once. Exactly.

Start small, learn as you go, and gradually scale up your AI efforts as you gain more confidence and expertise. That's great advice. It's a marathon, not a sprint. Exactly.

And the most important thing is to stay curious, Keep learning and keep experimenting. I love that. Well, this has been an incredibly insightful deep dive into the world of AI and marketing. I've learned so much and I hope our listeners have too.

Me too. It's been a real eye opener. So as we wrap things up, what's the one big takeaway you want our listeners to walk away with? I think the most important thing is to remember that AI is a tool.

And like any tool, it can be used for good or for evil. The key is to use it strategically and ethically to achieve your business goals. Well said. And I think the four step framework we've discussed today gives our listeners a great foundation for doing just that.

I agree. So to our listeners, if you're feeling inspired to take your AI game to the next level, I encourage you to revisit the key takeaways from this deep dive and think about how you can apply them to your own business. And I'll leave you with one final thought provoking question. Okay.

What one area of your business could benefit most from a strategic AI implementation? That's a good one. Yeah. Something to ponder.

Well, thank you so much for joining us for this deep dive into the world of AI and marketing. We hope you found it insightful and inspiring. Until next time, keep learning, keep exploring, and keep pushing the boundaries of what's possible with AI. Thanks for listening to the show today.

Be sure to subscribe so you never miss an episode. Visit us at marketingfrontier. ai for more resources, tools, and expert advice. And until next time, keep pushing the boundaries of what AI can do for you.