Artificial Intelligence (AI) and Machine Learning (ML) in Marketing with Shane Austrie

[00:00:00] Monique Idemudia: Hello and welcome everybody to a new episode of the Dragon Digital Marketing Podcast. I'm your host Monique and you're listening to episode number 54. And today's episode is all about artificial intelligence or AI and machine learning or ML in digital marketing. So we're going to talk about the future of digital marketing.

[00:00:25] Some of it is even available in the present right now. And my special guest who's joining me in today's episode to talk about this is an EdTech and MarTech ML consultant. He's worked and consulted for various advertising platforms like Reddit, Facebook, Yel, job joy, and many more. And he's building machine learning for their ad platforms.

[00:00:50] He now leads several consulting projects with various niche app platforms, marketers, blogs, and marketing agencies. And he's also the creator of the largest AI and ML focus club on Clubhouse

[00:01:05] with 40,000 members and followers already. Please welcome Shane Austrie. Hey Shane, how are you doing today?

[00:01:14] Shane Austrie: Doing fine. Doing fine. How are you doing?

[00:01:17] Monique Idemudia: I am great. It's a pleasure to have

[00:01:20] Shane Austrie: you. It's pleasure to be here is definitely a great day. And I'm happy to share some of my knowledge with everyone. Yes.

[00:01:28] Monique Idemudia: I'm so excited to talk about artificial intelligence and machine learning and marketing and what the future of digital marketing is and everything involved.

[00:01:38] I think it's going to be a great conversation.

[00:01:41] Shane Austrie: Definitely. It's going to be a great conversation is always an amazing feeling to share some of the new pressing technology that's affecting businesses and why the varieties of ways. Honestly.

[00:01:54] Monique Idemudia: Absolutely. So why don't we start with the basics? What's the definition of AI and what's the definition of M L and how are they

[00:02:03] Shane Austrie: different?

[00:02:04] Okay, great question. That's actually a very common question. And to start off with, from ML machine learning, you could think of machine learning as a computer using different math techniques, picking up on patterns that I sees through data. So when someone says data, generally, they mean, Hey, if you clicked on a button, In on Facebook, that's a data point.

[00:02:31] And that is some record as being kept by Facebook. And it tells Facebook and machine learning models that this person may be interested in something. So to compare it back to a human machine learning is let's say learning how to do one specific thing such as maybe you read or understand words. And when someone says AI artificial intelligence, what are talking about is basically.

[00:02:57] I'll very variety of different machine learning models. So such as learning how to speak, when how to read numbers, learning how to speak a different language, a variety of different machine learning models. Putting in some one is what makes artificial general intelligence.

[00:03:13] Monique Idemudia: So machine learning is computers collecting a lot of data and they're trying to see patterns and get insights from it.

[00:03:21] And they're able to make decisions that way. They're able to make those decisions a lot quicker and in a much larger scale than if we would do that. Right. And then if they make their own assumptions based on that, that's, when you call it artificial intelligence, is

[00:03:36] Shane Austrie: that. Yeah. So that's exactly right.

[00:03:38] It helps speed up a lot of processes that we have done in the past. So if you would have gotten an accountant to try to find errors in their books, or if you've got someone to like study your customers to figure out, Hey, where do they hang out in the afternoon time? So you can advertise to them. Lots of times now you get machine learning models to do it.

[00:03:58] Monique Idemudia: Okay. So let's get started with the first marketing channel content marketing. How does machine learning and artificial intelligence influence content marketing right now and in the future?

[00:04:12] Shane Austrie: Well, there's definitely some cool things that's going on right now. So with different forms of content marketing, a lot of times you need a good title to draw people in when someone is on your website or on someone else's website.

[00:04:25] When you see a post talking about your product, they first look at a title before looking at the body or description and machine learning right now, it's, they're starting to learn certain patterns about humans, such as Hey humans. Like when you capitalize certain words or when you use certain. Such as using certain adjectives before talking about your product and it's picking up these patterns that a human would never be able to do without spending thousands and thousands of hours.

[00:04:51] It's learning, what's the best titles to pick and, and content market.

[00:04:56] Monique Idemudia: Wow. So that's interesting. there's a saying that you should spend 80% of your time with the headline and only 20% of the body content because the headline or the title is what's going to get you to click.

[00:05:08] And when people don't even click through, they're not even going to see your entire piece of content. So when artificial intelligence can handle that for us, we can save a lot of time, make our marketing a lot more effective with that. That's that's really cool.

[00:05:22] Shane Austrie: Yes. And like, additionally, some of the Ellis has being done is that if you have a body of text, let's say describing your product, then machine learning to help optimize the format of how that's done.

[00:05:35] So let's say you are targeting a wide variety. Let's say you're a pools and brand you machine learning that can help you segment how to do your body. So let's say if you're sending it to your. Email lists and half your email list is male. Half of them a female. It can figure out, Hey, swap out the images that best fits the demographic.

[00:05:54] You're sending it to. So swap out the act on the actresses, the models use anything specifically to match the demographics.

[00:06:03] Monique Idemudia: Wow. So that's smart. So your content resonates a lot better and I assume that you're going to see better conversions from that as well.

[00:06:13] Shane Austrie: That is correct. So basically what's happening right now is that if you personalize your piece of marketing to the exact person, who's reading it, the higher likely chance that they will convert and do whatever action.

[00:06:26] We'll just usually some purchase.

[00:06:28] Monique Idemudia: That is cool. How about the content creation and the writing of the content?

[00:06:34] Shane Austrie: Well, machine learning is definitely getting pretty advanced in that era is still very early stage. And this is where human creativity is still ruling where creating content machine learning can help you optimize it, but create it from scratch is sometimes a hit and miss, but definitely it's moving towards that direction because we now have different machine learning models that create scripts, basically movie scripts that actually captivated and based off of previous historical.

[00:07:01] Shows I've done well. It uses that data to make kids' shows now.

[00:07:05] Monique Idemudia: That is so cool. Yeah. I am looking forward for the development that we can expect in that area right now. What I have seen, you can tell that that content has been generated by bots, but if it gets better in the future, that's going to be really exciting to look out for it too.

[00:07:24] So let's talk about email marketing. How does AI and ML influence email marketing now and in the future?

[00:07:32] Shane Austrie: Well, some things that are being worked on, especially at my consultancy, we are noticing that certain users open emails at different times, and that if you send your email exactly when they're most likely to open it, They, your conversions was good to go through the roof, honestly.

[00:07:50] So if a user normally opens this email at eight o'clock, if he goes on his Gmail app on his iPhone, then the best time to send it is about 7 55. Because if you send it at that time, then you'll be at the top of the list. If another user is most likely to open their email at the end of the day, let's say 6:00 PM.

[00:08:07] Then as best as sending me that five 50 so that you will always be the number one thing that they see a lot of times, You like advertises and so forth. They send emails, whatever time works best for the advertiser, but they don't realize they're being buried down by other people who are also sending them emails.

[00:08:24] Monique Idemudia: That is so true. So that means that not everybody on your email list gets the email at the same time anymore, but each person gets them at the time. That's best for them. And when they're most likely to open, would predictive sending technologies.

[00:08:40] Shane Austrie: Exactly. Exactly. It's definitely helping tremendously seeing about 20 to 30% gain and open rates.

[00:08:48] Monique Idemudia: Wow. So that can mean a lot more revenue and a lot more profit for a lot of businesses. And that's also something that I've seen is pretty affordable right now.

[00:08:58] Shane Austrie: Yes, honestly speaking, it has pre-built solutions. That's something that we're working on and there's also solutions where it's custom. So if you're a bigger business, then maybe you want something that's more custom to your business needs and then consultancies help in that aspect of creating some custom solution.

[00:09:15] That is so

[00:09:16] Monique Idemudia: cool. So when it comes to social media marketing, can it also help you to predict when is the best time to post a pose and when to preschedule your posts and things like

[00:09:28] Shane Austrie: that? Yeah. So those technologies have actually been a war around for a while where the social media has always been the crave and the love of advertisers.

[00:09:36] So those technologies have been around, they have general consensus of, Hey, When you should generally post that at like 11:00 AM, but there are technologies that are starting to allow you to use specialized for your audience. So before it will tell you, Hey, always pulls on a Wednesday at 11:00 AM, but then if everyone pulls to that time, then you actually end up being flooded.

[00:09:55] So now, as companies are slowly allowing you to like, learn a little bit more about your audience, you can realize that, Hey, there are actually on this specific time and post at this time.

[00:10:06] Monique Idemudia: Okay. So it's specifically for your audience then, and not from all of the data that they gather from everybody who uses the software.

[00:10:15] That makes a lot of sense. So it's a lot more relevant.

[00:10:18] Shane Austrie: Exactly. The key thing for increase in sales, whether online, offline is always relevancy. That's, that's the key thing about who's seen

[00:10:28] Monique Idemudia: What's going on with chatbots and conversational AI these days.

[00:10:33] Shane Austrie: Well, that's been a hot topic for quite a while now, but basically about one year pre COVID, but ever since COVID is not all taken off and has been sore and businesses are trying to use chatbots for a variety of reasons.

[00:10:48] One of the reasons are is that basically, Hey you, we no longer want to have a phone service. They're 24 7 paid $60 per hour. That's couldn't into our profit and it's just no longer working. They're using chatbots that are like, have the feel of talking to a real human on their websites where I use it to literally just click on the bottom of the screen and talk to someone.

[00:11:13] And they think they're talking to a real person because of Van's advanced ML system that allows them. Hey, do you, are you interested in purchasing a yellow hat? Well, here's a selection and here's the best ones that you may actually particularly.

[00:11:28] Monique Idemudia: I'm excited for that to become better too.

[00:11:30] So you actually don't notice that you're not talking to a human being right now, but it really feels like you're talking to a person and they're not just sending you suggestions to some help center articles or whatever that are not even related to what you've been asking.

[00:11:48] Shane Austrie: Yes, definitely. A lot of times with traditional systems, especially banks they.

[00:11:54] Systems that automated systems that talk to you are actually very, very inauthentic. Honestly, speaking. Don't feel like you're actually speaking to someone there's no brand in behind it. There's no connection. The thing is when you hear series speak, you actually know it's Siri. And that's the cool thing about apple.

[00:12:12] One day have their own voice assistant or their own like artificial voice that speaks. So we have chat box that talk to you through texts on your websites, but they're also advanced into, Hey, they can ask you your phone with a unique voice that anytime your customers here at dinner, I'll think of your brand or your business.

[00:12:30] Monique Idemudia: That is cool. I seen a video from Google where they've had their voice assistant schedule an appointment for that person. And have you seen

[00:12:39] Shane Austrie: that? I have seen that, that I know that was definitely a whole media sweep because that is, that was definitely impressive. Basically calling a local business and send out appointment and people wondering, Hey, will that be used for other reasons?

[00:12:55] Will I start getting spam appointed? But then if you also look at it, the flip side, now you don't have to always be on call. You can have someone basically automatically take care of that for you. And all you have to do is actually execute on that employment actually fulfill the customer needs.

[00:13:11] Monique Idemudia: Yes. That could take a lot of workload for some people off of their executive assistants or whatever.

[00:13:17] When it's simple tasks like appointment scheduling, appointment rescheduling, when there's an overlap or something has been double booked or so it happens quite a lag. So that's cool to see. And it's also handy for, you know, making calls for you that you don't want to make it yourself.

[00:13:33] Shane Austrie: Definitely. What we're seeing is that chatbots save owners like hours per day.

[00:13:39] Honestly, this weekend, especially as they start getting more and more. Customers come in the higher volume as the growing size. They're noticing that it saves them tens of thousands, if not hundreds of thousands of dollars. Wow.

[00:13:54] Monique Idemudia: What can we expect when it comes to personalization?

[00:13:58] Shane Austrie: Personalization. I know that's currently being worked on for the e-commerce space.

[00:14:02] So like online businesses, we use Shopify. They are trying to make it so that maybe there's a unified system that slowly learn the customer and recommend things. Even if you're on a completely new store is like having a best friend who already went to the store for you and can tell you, Hey, we already know you're going to like these specific outfits and maybe even match in different combinations to get us a mix outfit.

[00:14:27] Monique Idemudia: Wow. Yeah. So email personalization that has been around for a while, you've been just talking about e-commerce. I've also heard about pricing personalization, so everybody sees the price on the website. That's the highest price that the software basically predicts that they're willing to pay. So he pays.

[00:14:49] Yeah. Everybody pays the maximum amount that they're just willing to pay. And companies can basically maximize their revenue with that.

[00:14:59] Shane Austrie: Yeah, definitely. It's something that's been beneficial to the industry and it's sometimes get several different remarks. Some people say, Hey, we should just start a standard price.

[00:15:13] Some people might consider taking an advantage in some sense, but when you really look at. A business. A lot of times, a lot of businesses go out of business. As we seen during COVID at, at this point, you think that your profit margins are the best until a pandemic hits and you realize, oh no, we need to be charging more.

[00:15:32] But some customers are more flight. More of a flight risk, honestly, meaning that if your price is too high, it'd be a little longer to shop with you. But if you're offering so much essential service that everyone should have, and I just see a price based off a customer makes sense, because it allows you to get more customers and everyone's happy at anonymity.

[00:15:51] If someone was willing to pay more, then that's fine because it's not like actually hurt them in any way, because they were willing to pay that price. Anyway.

[00:15:58] Monique Idemudia: Yes, that's right. So I think it's still ethical and dynamic pricing just allows you to personalize the prices better. Why wouldn't you offer somebody a discount who doesn't need it, or wouldn't even want it?

[00:16:12] You can offer them just to the people who've been like dwelling on the product page, or they've had that product saved on their wishlist for awhile. They keep on coming back and you see, okay, they're evaluating their options. Contemplating they're procrastinating, they're buying decision for whatever reason, maybe they've had their shopping cart abandoned or whatever, and then you specifically make an offer for them.

[00:16:34] And you do not need to offer that item at a discounted price for everybody who visits your online

[00:16:40] Shane Austrie: shop. Yes, definitely. Because at this current moment, when you consider it, this actually different psychology theories that you have to keep in mind where. If you price yourself too low, you actually may push away the customers you truly want, because some customers look at pricing as a sign of luxury as a sign of values, as a sign of quality and your product might actually be quality, but you're scared to actually charge more because you're trying to appeal to the masses so that that actually can help you adjust when you know, different customers may consider pricing as a sign of, Hey, should they buy or not?

[00:17:17] Because is it luxury? Is it quality?

[00:17:20] Monique Idemudia: Absolutely. How about segmentation?

[00:17:21] Shane Austrie: Segmentation?

[00:17:25] Well, segmentation comes into play in all forms of machine learning. The only reason machine learning works is because machines are able to segment a lot better than computers. Most humans can admit that they could only keep so many things in their head at once.

[00:17:42] I pretty sure, even if you wanted to compete with machines, you wouldn't enjoy the process of having to keep track of so many things. So with segmentation machine learning uses it for every form of machine learning. In the sense that if it comes down to personalization is segment your customers into different batches, into different groups.

[00:18:01] When it comes to pricing it, it slowly segments customers and builds a profile about them realizing, Hey, they're a part of this group, this segment, and this is how we can help them the best. Yeah,

[00:18:12] Monique Idemudia: that makes a lot of sense. And if you can segment smarter, you also increase your marketing efficiency a lot, because it's going to be more relevant and more valuable for that segment of your audience who is going to be presented with a certain message or a certain offer for sure.

[00:18:32] Business owners traditionally. And this is like a lot of times all the business owners, but slowly, they're becoming more aware of the benefits of new technology and new methodology. And they're realizing that, Hey, we can't just send out one market and message to the world and expect a world. So send us millions of dollars.

[00:18:49] If we really want to benefit the world and give them the truest form of our value, we got to show them our value as a business and the light that speaks volumes to them. And honestly speaking, there's a very popular theory that everyone's favorite subject is themselves. So if you want them to actually pay attention to your product yourself, Well, you have to frame it in what matters to them and they care about themselves and what they care about.

[00:19:19] So frame your product and service around them, around what they care about. It just makes logical sense, honestly.

[00:19:26] Absolutely. Yeah. That's so true. And that's like the golden rule, whatever it is that you do put yourself in your customer's shoes and ask yourself what's in it for them and use that for your argumentation instead of, you know, thinking from a selfish point of view, for sure.

[00:19:44] How about leads and sales forecasting? What can we expect when it comes to that?

[00:19:50] Shane Austrie: Well, I know it's definitely machine learning has been helping tremendously when it comes to like forecasting aspect, because at the current moment, lots of businesses, let's say store owners, they try to manually forecast. So maybe they hire employee to do forecasting and they end up in sticky situations either when they.

[00:20:11] Under order their products. So let's say if you are a story, you didn't order enough shirts. You know, pants, let's say, if you are a grocery store, you did not order enough vegetables. Aren't enough fruits. In those situation, you miss the opportunity where you have soul, another apple, another pair of jeans, where you could have made more money for your business because you couldn't predict correctly.

[00:20:33] Hey, this is how much that is going to be needed. This is how much demand is going to be here for next year. Additionally on the flip side, you could end up ordering too much. And when you order too much food, for example, a grocery store specifically, it tends to go bad. You have to write those off as tax losses and yeah, you do get your tax write off back.

[00:20:54] Yeah. Would you have rather just use that money to do something else to make profit of somewhere away is definitely things you have to keep in mind. And that's where machine learning helps you with forecasting off of previous data. Based off the industry data does no one works in a silo. You're not the only business around doing that product or service.

[00:21:14] A lot of times machine learning will leverage data from the industry to help you in ways you can never imagine.

[00:21:20] Monique Idemudia: Right in the future, we're definitely going to be able to work a lot smarter and not harder, even more than now.

[00:21:29] Shane Austrie: Yes. 100% work is smarter than a harder business. Owners are a rare breed in of themselves due to the fact that they.

[00:21:38] They are strategists. They should spend their time on high value ticket items, such as creating the strategy for next month, next quarter, rather than worry about a day-to-day errors and mishaps. And that's where machine learning could help take over some of those small tasks.

[00:21:54] Monique Idemudia: What are all of the benefits that small business owners can get from investing in machine learning and artificial intelligence.

[00:22:02] Shane Austrie: Well, the biggest benefit that I normally tell everyone is just, Hey, you can double, triple or quadruple your revenue, honestly speaking, because if you think about it from a mathematical perspective, you'd have to think about the timeline. The revenue loss from like small mishaps and then the revenue gain that you can get by further optimize in certain areas of the business.

[00:22:24] So a lot of times I see businesses losing money because they are bad at optimizing what times are open or the customer queue. If they're able to fix those things and you can get more customers in the door and get more revenue. And overall there's a lot of small areas in your business where you're probably losing money.

[00:22:43] certain expenses that you don't need to be incurring. And that's where Hey, having an automated system can help you fix those errors.

[00:22:51] Monique Idemudia: Absolutely. Yes, you get more leads, more sales. You get better insights into your target audiences and helps you to position yourself better. You get so many valuable insights to adjust your marketing strategy, and you can just make your content more relevant.

[00:23:09] Make even more data-driven decisions and based everything that you do on data and everything just becomes more precise. it's lower cost, obviously, because if you can have staff where do things for you more efficiently, don't have to pay people. You save a lot of money like that, too. it's a, it's a lap faster when it comes to problem solving and finding solutions and you can really make your entire user experience and customer experience better and have more satisfied customers and a happy audience that is happy to come back to you over and over

[00:23:43] Shane Austrie: again.

[00:23:46] Even though, I, from a business perspective, I always speak about the revenue gain. There's also the humane aspect of it. Machine learning is helping people find their purpose because hiring somebody to do a, a ridiculously simple task over and over, isn't helping them. Yes, you're giving them money, but in that finding their true purpose, their true passion machine learning is removing the task that shouldn't be paid for and giving people the opportunity to then go for it.

[00:24:15] Positions and do jobs that actually match their passion instead of optimizing to check small things like let's say planning, you can, now that person, when they could have been doing that job, they can now do a job that they actually care about such as strategy. It helps your employees long-term and it helps you as well.

[00:24:37] Oh,

[00:24:37] Monique Idemudia: yeah. I think it definitely helps people to be more fulfilled and more people are going to be able to do jobs that they actually love in the future because all of the, you know, tedious work and the manual routines that are really yeah. Monotonous. that's going to be, that's going to be handled by software by computers or write bots.

[00:24:57] I think that arts are going to be on the rise. Everybody that your parents said, oh, don't do that. It's not a career. You can make a living on that. I think you may be able to make a living on that in the future. And yeah, computers are going to handle the other word for you.

[00:25:14] Shane Austrie: Hmm. Yeah, it's honestly, this is like amazing age.

[00:25:18] And before you couldn't like actually make a live in sin in a home recording yourself, but now you can become an influencer on YouTube or an influencer on Instagram at this point. And that wasn't there before. And that's thanks to technology, removing all the simple tasks that we need a human to do that would push humans to do it.

[00:25:36] Cause we're offering them money by not offering them money anymore to do like tasks that aren't. Fruitful now they have spare time to think, okay, what do I actually want to do with my life? Because it's not being drawn to simple tasks that still happen to patients.

[00:25:49] Monique Idemudia: Exactly. And you get more done in less time, you have a better quality of data.

[00:25:55] you can automate more things which makes life even better and even easier for you. And also when it comes to support and building relationships, that's going to be facilitated by AI and ML as well. Yeah.

[00:26:10] Shane Austrie: Definitely definitely. But I honestly, for business owners, I always recommend them to take some time out, either speak to an advisor.

[00:26:19] Who's a expert in machine learning expert in automation, or go to a consultancy that specialized in the machine learning and just talk to. Lots of times consultants is only in charge you to speak to them. Like some of them do, but that's a whole separate conversation, but basically just speak to them about, Hey, where are my business?

[00:26:40] Do you think could be optimized? And then after that create a plan to see, is there room to grow in? Is there room to reduce expenses? Is there room to grow revenue? Is there room to like improve my marketing? For example,

[00:26:55] Monique Idemudia: definitely. And that's what you do, right? So what are some frequently asked questions that you get, or some common misconceptions that you have to clear up a lot in your consultancy?

[00:27:08] Shane Austrie: Well, so there's generally two, two groups of owners. I normally work with technological owners and they own some type of websites, some sites, the software, and they themselves are trying to implement machine learning. And this way I work with local businesses who are trying to get more advanced in their systems.

[00:27:25] So. A lot of misconceptions are, Hey, I don't have enough data. Hey, I'm an old time business. This isn't right for me. Hey, I don't think I will be able to understand that as the owner, all those kinds of preconceived notions, you start to realize that, Hey, that's not actually true. You can implement these solutions and maybe you don't have the most advanced systems like Google and Facebook.

[00:27:50] But even simple solutions that consultancy could bring to you can double your revenue. It can reduce expenses in ways you never thought possible, but similar to you becoming a business owner, when you took that first step. You should also see that first step in technology, because I'm assuming you're not just creating a business that lasts 10 years.

[00:28:09] You want a business that lasts a lifetime. Maybe you could pass onto your children. And these things are actually very important. If you want your business to last long enough to grow enough, to be passed onto the next year, to make a name for itself, you have to care enough about your business to say, Hey, yes, this is a new area for me.

[00:28:28] Yes. I don't know. I fully understand it, but I'm willing to listen to someone to take the next step. Like a good example would be I was working with a home inspector and she was cautious about growing her business. She used like a small mom and pop shop and she's been doing it all herself, but I told her, Hey, if you could automate, reaching out to clients, accepting new appointments, that will give you volumes of more potential sales.

[00:28:59] And now all you have to do is grow. And at that point before she was scared about growing, because she's scared that during her down months, during the winter time that she wouldn't have enough revenue to cover any employees. However, during her summer months, she has plenty of capital hire more employees, but she doesn't want to hire, hire 10 99 contractors.

[00:29:20] She wants to hire full-time employees to guaranteed the quality that she needs. So I asked to speak with her. I give her a blueprint, a plan to follow, and some technology tools that she could use to help her grow. Now this ends up helping her during the winter time as well. And when it helps her during the winter time, now she has at least a baseline minimum in order to hire one more employee.

[00:29:40] And then after that, it started growing even more so like five more employees. And now she just takes on a more managerial role. And she only inspects homes when she really needs.

[00:29:50] Monique Idemudia: Yes. Right. So you can have a more managerial role. You can do the strategy work and actually work on your business instead of in your business.

[00:29:59] And it's definitely something that you should look into. And it's important to invest in, even as a small business, even as a small mom and pop shop, no matter how small your business is because your time is money and you want to free up your time. There's a little. Very simple and affordable solutions that you can implement that are already going to have a large impact.

[00:30:22] Shane Austrie: Definitely, definitely. There's so many industries that are being disrupted. Like let's say the taxi industry by Uber, but the thing is if the taxi industry has actually moved towards a direction of understanding technology, Uber would have never existed is only because a lot of taxi services you had to call in.

[00:30:41] And that was so inefficient. There was still thinking, Hey, people want to call in to get a ride. They didn't realize hope. There's literally mobile apps. Now there's literally websites. If I could just make it a push of a button, everyone will use my taxes. So it was, I'll be so busy that Uber would have never disrupted the taxi industry.

[00:30:58] Monique Idemudia: Yes, I think so, too. So if people want to get in touch with you and learn more about you, what's the best way to reach out to you and where would you send them?

[00:31:10] Shane Austrie: I would definitely recommend them contact me either on LinkedIn. My name is Shane Austria, so you can. Follow me there or connect with me there. I also recommend people checking out our website, siliconvalleyconsultant.io, and you can just fill out a form on the bottom and then one, a person from our team will actually contact you.

[00:31:28] So start scheduling potentially talk through about, Hey, how does your business work? Where areas are concerned, where can we potentially grow at? And generally that's the two ways, the two best ways to get in contact.

[00:31:42] Monique Idemudia: Okay, I'll leave the link down. The, so people can find you on LinkedIn and they can also find you a website, Silicon valley consulting.

[00:31:49] So definitely reach out to Shane. If you want to learn more about ML and AI and marketing, The future holds so many exciting things. And as you've learned today in this episode and besting in AI and M out also make sense for the smallest of businesses, because there's so many benefits to it and you can save a lot of costs and be more efficient and increase your return on investment and profit.

[00:32:16] If you do get AI. And M L a chance and they're super affordable options to do so. For example, using email marketing automation platforms, like active campaign and leveraging predictive, sending to send your email campaigns. I just the right moment in time. When a person is most likely to open it. If you want to explore that possibility. I want to encourage you to click the link down below in the description and check it out

[00:32:47] we hear a Dragon Digital Marketing use active campaign for our email marketing automation ourselves. And we're super happy with the software and that's why we're recommending it. And we've partnered up with them. And do you also cannot miss the further resources and links that I've put in the show notes of this episode, as well as a summary about everything that we've just talked about.

[00:33:11] So you don't have to take any notes and you can find all of that on our website. That is jagen-digital-marketing.com. And you'll also find a link to the show notes down below in the description. So make sure you check that out and on our website, you'll find many more free resources that you can download.

[00:33:31] We are a true content hub and resource for small business owners that want to learn more about digital marketing. There is a free buyer persona template. We have a free SEO checklist that you can download. We have a free branding course called brand story where you can leverage branding and storytelling to build your online presence and your business.

[00:33:55] And we also have a free email marketing campaign planning calendar template that helps you to plan and map out all of your email campaigns and many more things. We have a super insightful newsletter, check out the website and check out all of those free resources. And with that being said, I want to thank you so much for watching and listening.

[00:34:17] I really appreciate you being such an engaged member in our community. And I hope to see you again, and the next episode until next time.