Marketing AI CEO Chats with GoCharlie AI Co-Founders Kostas Hatalis & Brennan Woodruff

Marketing AI CEO Chats with GoCharlie AI Co-Founders Kostas Hatalis & Brennan Woodruff

Let’s chat AI Marketing! Welcome, Kostas and Brennan of GoCharlie to our inaugural podcast!

Transcript of the CEO Chat

Scott (00:04): Hi, and welcome to the AIContentGen video podcast. And today we’re delighted to host Kostas,  the CEO of  GoCharlie, and also Brennan, the COO of GoCharlie. And we’re gonna be talking about how GoCharlie helps marketers get their work done. And so thanks for joining us. My name is Scott Sweeney. I’m one of the founders of AIContentGen.

John (00:33): And I’m John Cass, one of the co-founders of AIContentGen. Thanks so much, Scott. Well, it’s nice to see you, Kostas and Brennan. Perhaps we can start off by asking you to tell us about yourself and also your AI journey.

Kostas (00:50): Yeah. I’ll introduce myself and then Brennan. I think it’d be for him to introduce himself. I founded GoCharlie about a year ago, it’s our first birthday coming up soon. We founded coming outta my PhD, where I saw a massive opportunity that only a few short years ago, content generation of AI, whether it’s text now, images and audio and video was really considered science fix. And it’s still in the realm of academia and universities. And now we’re seeing, we’re starting to see the early days of this explosion and it’s only gonna pick up from here. So that was my main inspiration for starting the company.

Brennan (01:39): Yeah. So Brennan Woodruff here, I’m COO co-founder of GoCharlie.ai. My AI journey was, a little bit different than Kostas who’s obviously had a decade worth of experience in the field, I personally joined SoftBank back in 2019 working on the vision funds because I wanted to learn more about artificial intelligence.  I saw that that’s where the world was going whether or not it be AI replacing humans or where I think we like to place is the enablement of human capabilities through artificial intelligence type technologies. What I found when I was at the vision funds is that there were a lot of different flavors of artificial intelligence but generative AI, I think has the potential to be the most transformative of any of the AI technologies I saw during my time there. And so when Kostas and team offered me the opportunity to jump aboard, it was a bit risky, but I wanted to take the plunge and learn as much as I could from some forefront thinkers in the space

Kostas (02:42): To mention our third co-founder could make the call. She’s she also has a PhD in AI and together we’re, we’re building our own technology from the ground up. So that’s one unique aspect about GoCharlie, is that unlike many of the other players in the space, especially for writing and for marketing it’s rare to find a company that’s developing their own technology, whereas instead of just plug and play from open AI or Google or IBM or existing technology is.

Scott (03:15): That’s really exciting. So does that mean that you don’t actually use any of the other technologies just your own AI?

Kostas (03:23): We do use some of the other technologies for three purposes. One is experimental to see if our AI meets or surpasses two for data augmentation, we do use, for instance, GPT-3 to help create data to train our own models. And we do also use a few other tools to augment our capabilities. Our plan by end of the year is to become a hundred percent self-sufficient. But that this, does take time. And as you guys may know that GPT-3, which we see as one of our competitors took a team of 30 PhDs years and I think 5 million to train. So we have a pretty big, you know mountain to climb.

Scott (04:14): Absolutely great. Well, that’s exciting to have a goal of being 100% your own AI by the end of the year. 

John (04:24): So next, what’s the what does the software do, perhaps you can explain that to the folks.

Kostas (04:32): This is where it gets really unique. We’re proud to say that we’re one of the first to be able to analyze images, to create content. So first off we’re a platform to help create digital marketing content, primarily co caps text. So sort of a co-writing tool for the time being we focused initially on social media posts and ads, and now we’re slowly expanding into almost every use case. And as I mentioned in the beginning, we pride ourselves in that we are trying to be the first to be multimodal, to incorporate other types of media into the content process. For instance, we can take an image and create an entire or, or post out of it. And one of the first ones to do that, we’re working on prototypes with video and with audio, and soon towards the end of the year, next year, we’re also doing the opposite, which is to go from text to an image. You guys have definitely heard of Dolly too, so there’s another mountain to climb there. And that’s definitely a unique obstacle in the sense that those are great artistic pictures, like paintings, but none of them are quite there yet for professional, like marketing purposes. Brennan, I think you definitely have a lot of ideas there. A lot of opinions there too.

Brennan (06:01): Yeah. Yeah. I mean, the way that we’ve approached generative AI is transformative technology. And while we see a bunch of competitors having success in purely the writing space, we think that that’s almost a disservice to the technologies capabilities. You, as you’ve seen with DALL·E 2  and a couple of other WebOs dream apps. There’s definitely an appetite for apps where you can go from text to an image. We also have seen a significant appetite for having a video and being able to turn that into text content. You know, we really want to make the starting point wherever the user is. So maybe the user has a photo or they have a video, but they have no idea what to say to optimize their content and engage their target audience. We want to be that bridge between the modalities with our AI. So we’re looking a little bit beyond writing, but we’re finding that that’s a good space to start out in because the learning there applies to so many different other mediums of media.

Scott (07:06): Great. Our next question is kind actually, you may have felt like you already answered it, but I’m gonna ask you anyway, is what’s the strength of your software

Kostas (07:19): And in its current state, I would say three main strengths first is that we’re trying to be driven by, our customers, our users, like building this in public, getting instant feedback. Again, we’re very small. We have several hundred users but we listen to every single one of them. And to that end, because we’re building a lot of this ourselves, we are going this multimodal aspect. So, and we hear a lot of, you know, demand, Hey, I want to use this image or this video and create content out of it. Another thing is it, blogs, Brennan and I were discussing the other day are like, Hey, can you take this blog and gimme 10, you know, tweets or, or Facebook posts out of this single blog? So that’s, our core strength is being able to innovate very fast with our own ideas and implement them from the ground up.

And the third is not to be that strength, but something I would say is that we try to be fun. And this is actually Brendan’s idea which I absolutely love this is that we have, for instance, these tones. So when you’re creating content on our platform, you can choose a tone and we’ve added some fun tones like a pirate, Brooklyn, and Shakespeare. And, when you start playing with ’em, they’re so incredibly fun and you can’t just help yourself, but giggle a little bit or just smile. So that’s a philosophy that we’re adapting is that when you’re using our tool so not just help you be more productive, but it should be fun to play with and just make you happy to use it.

John (08:57): Yeah, almost like the old Groupon model where they had that different style. That was the whole approach. Wasn’t it using a content style?

Brennan (09:07): definitely. And I think Kostas hit the nail on the head, you know, in a post-pandemic world where everyone’s experiencing burnout. We’re trying to introduce tools that make work feel as fun as playing with a puppy. So that’s, that’s GoCharlie. But we think some of those new tones are definitely a massive step towards that in making work feel like play.

John (09:29): So how do you support the client’s content design approach, you know perhaps in the areas of ideas and research briefing, actually writing the content, optimizing the content, you know, you talked about doing some of those extra things, even expansion metrics, you know, do you have how do you, how do you follow that content design teams sort of framework for how they do things?

Kostas (09:56): So, Brennan, you wanna talk about the customer aspect and I’ll talk more about the technical aspect next.

Brennan (10:01): Yeah, yeah, definitely. So John, I, I think you’re hitting the nail on the head, as you know, like when we think about a land and expand strategy, we’re, we’re starting to think about all right. Yeah. We’re generating the content, but, the creative process for humans and marketers and anyone that needs to create content really is like, you have to start from an idea. And so for some people that idea, we see more with like an influencer type customer. That idea is more life experience. It’s something that’s like really created this learning. They want to share with people to engage their audience in a more organic storytelling-driven way. For marketers, it seems to be a little bit more driven about like, what’s trending. So while it’s not there yet we actually have a hashtag and recommendations and trending functionality that’s being developed to really start you at that ideation point based on what’s performing what’s working well in your industry what topics are trending, which hashtags are trending that gets us a little bit more into that SEO space.

Brennan (11:03): So it’s still to be determined if we’ll grow that through partnerships or not. But then as we kind of go from ideation into that content creation piece, that piece, I feel like we’re completely addressing right now, but expanding the number of use use cases we go across then the next piece which I think is a huge differentiator for us is that we have content scoring. So content scoring too, if you’re unfamiliar is the ability to assess the content that we’ve created against the industry’s most engaging pieces of content that we’ve analyzed indexed, and fed through our models and really give you actionable insights as to how you can improve it. So not only are we giving you insights on how to improve and edit, but then if you think about the application of this in an enterprise setting that can, our content scoring can become part of your review process.

Brennan (11:52): So rather than living independently through a bunch of different emails, you just check the box that, Hey, you’ve scored an on GoCharlie’s content scoring. Therefore it’s good by me. And then the last piece obviously is, you know, publishing that content. And we’re, we’re happy to say that in the next month and a half, we’ll have the ability to post directly from GoCharlie into 10 different platforms that are most commonly used by our marketers that we’ve talked to. So that’s Facebook, Instagram, Twitter, YouTube TikTok. So we’re really trying to land and expand from just the content generation piece to a full sort of content creation platform methodology.

Kostas (12:31): Excellent.

Scott (12:32): That’s great. I, I have a question about that. How are customers doing with the scoring you know, one of the areas I’m always interested in being several businesses over the years is metrics? So is there a way to are there customer success stories or are there proof points on how that works?

Kostas (12:56): So still in the early days, we’re actually in the process of creating use cases now and hopefully band of the summer, we’ll be able to publish a few white papers on those use cases. Content scoring is, is becoming quite popular with our users. There’s still a lot for us to figure out what’s the best way to deliver it. We have quite a big UI. So we’re trying to take out an approach of optimizing for mobile, which we’re realizing almost all of our customers are on their mobiles. And that’s something none of our competitors are doing either is, okay, how can you deliver an immense amount of value on a much smaller screen? And we’re also seeing quite a bit of demand in addition to the quality of the writing is to what audiences will, you know, a content resonate with specific demographics, gender location, so forth.

Kostas (13:48): And part of our multimodality aspect is to analyze we’re building right now, the ability to analyze the content and tell you, okay, this is great for gen Z, or this is great for millennials, but also given an in image or video, okay, will this also appeal? So it’s more of a complete all-in-one packet analyzing quality than analyzing the appeal. And we’re in the process of seeking out a few partnerships with something data marketing companies to then start getting more performance statistics and say, okay, we can give you a quality score and audience score, but now let’s start predicting how many clicks, how many likes we will. We also start getting with your content especially as it gets mixed up with videos and images in different modalities, that’s something we’re also cooking up in our, in our MADLAB, <laugh>,

Scott (14:38): It’s exciting. So I think that leads us to our, our final question for today. And it’s one that I always find very insightful from business leaders, in general, is if there’s one thing that you believe that most people believe about AI content generation that most people think is true, but you actually take a contrarian view. You don’t think it’s actually that true.

Kostas (15:08): I’ll go last cause as a Ph.D. in AI, I have a lot of opinions about <laugh> the world is different than actually is.

Brennan (15:15): So just to make sure I, I understand the question correctly, Scott, you, you wanna know what the masses think about generating content with AI that we don’t necessarily think is true? Correct.

Brennan (15:27): Got it. I think that there is a large portion of folks that look at AI content generation as a spam tool. And they, you know, they’ve cherry-picked validation of that belief through some of the Google policies about AI content and, and rather than delving into, you know, the science behind that and what was actually said, they just believe the headlines for what they are and, you know, we don’t, we don’t really subscribe to that, that idea. We believe that there could be bad users in, in abusers of such technologies to create content that is spammy or that is trying to be manipulative. But, but we believe that the majority of users of an AI content generation tour are, are really trying to pursue just making their dreams come true, whether that’s, you know, creating content to help grow their business or creating content, to create awareness around a passion that they care about, or, or maybe even just helping their friend grow their business so that they can be sustainable in, in this economically wild world that we’re living in. So, so for us, we, I, I would say that we don’t really subscribe to the AI content generation being a spam tool. It’s more an enabler, of people’s personal pursuits. And, and that’s how we choose to view AI is just, we’re enabling, what’s already there. We’re just giving you a way to unlock it.

Kostas (17:01): And I also add, cause that comes with two fears is one, AI is gonna spam you, but also AI may replace you. And that’s another belief we don’t have is that it, our whole philosophy is that it’s gonna augment your life, make your life easier, the same way that Photoshop 20 years ago made designers’ life easier instead of just doing things by hand. And that’s how we see AI. Maybe in 10, or 20 years, it’ll start replacing jobs, but we’re nowhere near there. And to be honest, we don’t wanna be in the business of replacing people’s jobs either. We wanna make them as productive and as fun as possible, really that that’s our whole core mission at GoCharlie.

Scott (17:43): I love the comparison to Photoshop and yeah. And especially for your application, I, I think that’s a really good analogy and you know, who knows what kind of jobs are gonna be around 10 to 20 years from now. Right, exactly. So so that’s a kind of a long time frame.

John (18:05): And, and I agree Kostas, I mean, isn’t it true when I’ve spoken to so many folks in the industry where I think these tools are, are helping those marketers and writers to get more out of their profession by doing more so I think it’s, I think that’s very true. So I think it’s a good idea. I think that that saying that you have about making it fun again is, is, is pretty insightful. So I really really appreciate Kostas and Brennan for joining us on the content video podcast. I also wanna thank the audience for supporting us. Thank you, Kostas. Thank you, Brennan. 

Scott (18:47): Thank you, guys. Take care. We’ll look forward to talking to you again sometime soon. <Laugh> thank you.

 

 

 

 

Is AI Marketing Legit?

Is AI Marketing Legit?

Is AI Marketing Legit?

Just Ask IBM Watson! Are brands like Toyota, Best Western, and CVS legit? They have all used AI-Powered IBM Watson to attract and engage prospects at critical times in their customer journeys resulting in impressive results. Wayfair has developed its own Machine Learning models to predict their consumers’ preferences concerning email marketing.2

So the simple answer to “Is AI Marketing Legit?”  is a 100% Yes!  AI for marketing is a legitimate way to use artificial intelligence to help with marketing tasks. 

It can automate tasks, such as customer segmentation, campaign management, and product recommendations. It can also improve accuracy and targeting and free up time for marketers. And it can assist in content creation.

What is AI for marketing?

AI helps with marketing by automating tasks since AI can process large amounts of data quickly and effectively. This can free up time for marketers to focus on other tasks. 

AI can also lead to more accurate and targeted marketing campaigns. 

Can AI-generated content be as good as human-generated content?

AI-generated content can be just as good as human-generated content, and in some cases, it can even be better. This is because AI can analyze data more quickly and accurately than humans, and it can also create targeted content that is more likely to resonate with readers.

Is AI Marketing becoming the new norm? 

As artificial intelligence (AI) continues to grow and evolve, technology is beginning to create content that writers would otherwise write. While some AI-generated content may be of poor quality, there are cases where it can be legitimate and even beneficial for businesses. In general, AI-generated content can be a helpful tool if used correctly; however, it is essential to remember that artificial intelligence is still in its early stages of development and thus should not be relied on exclusively. The use of AI in marketing is still a relatively new concept and one that not everyone is familiar with. 

AI is currently being deployed in personalization, targeting, PPC advertising, chatbots, you name it!. And, AI powered Predictive Analytics is helping companies to deliver the right content to the right customers at optimal times. Anywhere that big data or repetitive tasks are involved are a great place to apply AI for Marketing.

What is AI-generated content?

In short, it refers to any type of content that has been created with the help of artificial intelligence. This can include articles and blog posts, social media posts, and even product descriptions. While some people may be hesitant to trust the content that a machine has created, there are actually several advantages to using AI-generated content for marketing purposes.

For starters, AI-generated content can be highly accurate and informative. Because it is generated based on data and patterns, when writing certain types of content, such as reporting on last night’s sporting events,  financial results, or healthcare information, there is less room for error than if a human were creating the same type of content. This makes AI-generated content especially well-suited for businesses in industries where accuracy is essential. Additionally, because AI can generate large amounts of content quickly and efficiently, it can be a valuable tool for businesses that need to produce a lot of content regularly but may not have the staffing to do so manually.

Of course, it’s important to remember that artificial intelligence is still in its early stages of development. There are certain limitations to what AI can do when it comes to creating marketing content. For example, AI typically struggles with understanding context and subtleties such as tone and style; as a result, the quality of AI-generated content can sometimes be lacking compared to handcrafted copy written by humans. However, these limitations are gradually being addressed as technology continues to evolve; as more advances are made in the field of artificial intelligence. 

What is the Future of AI For Marketing? Learn Here! 

Will AI Content Generation Replace Human Writers?

In some cases it already has. The Associated Press began using AI in 2014 to automate the writing of news stories about corporate earnings. This freed writers from the drudgery of translating numbers into words allowing them to focus on stories that required higher levels of journalistic expertise.

While some people may be hesitant to trust the content that has been created by a machine, there are actually several advantages to using AI-generated content for marketing.

As artificial intelligence continues to evolve, it is becoming better at understanding context and subtleties such as tone and style. This means that the quality of AI-generated content is improving all the time, and it is beginning to rival copy written by professional copywriters.

Additionally, AI might struggle with understanding complex concepts or humor. So it’s essential to have a trained writer pulling the strings, putting on the finishing touches and reviewing the copy for bias, plagiarism and adherence to corporate style guides.  In the future, we can expect AI to become even better at creating high-quality content that engages and informs readers.

Is it time to Develop a Strategy for AI?

You betcha! 

If you’re a Content Manager, PR or Marketing Agency, Writer for hire,  CMO, Product Marketer, Ecommerce Company, you know what to do. Jump on the AI Bandwagon. Yes, AI for marketing is definitely legit! It’s a growing field that is already helping marketers to automate tedious tasks and improve their campaigns.

Need Help with Developing a Strategy, Plan or Jump Start in AI? 

We’re here for you with reports, custom AI Marketing training sessions and advice. All we do is AI for Marketing. 

Contact AIContentGen to learn how to get started.

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What Three Questions Marketers Should Be Asking About Artificial Intelligence | aicontentgen

What Three Questions Marketers Should Be Asking About Artificial Intelligence | aicontentgen

What three questions marketers should be asking about artificial intelligence

If you’re like most marketers, you’ve been hearing a lot about artificial intelligence (AI) lately. And if you’re not sure what it is, you’re not alone! AI is an evolving and complex field, and there’s lots of misinformation out there. 

So in this blog post, we’ll break down three key questions about AI that every marketer should ask. By the time you finish reading, you’ll better understand what AI can do for your marketing team and how to get started using it.

Let’s get started!

1. How can marketers begin to implement artificial intelligence into their strategies today?

As marketers, we’re always looking for ways to improve our marketing efforts. Every day we’re introduced to a new tool, technology, or strategy designed to help us do things better, faster, easier, or cheaper. It turns out that AI has been used to improve marketing. Here are some ways AI can be used in marketing: 

Search

If you’re a writer, you know the importance of search engine optimization (SEO). But what if there was a tool that could help you optimize your writing without all the hassle?

Enter AI.

AI can help increase a website’s chances of ranking higher in search engine results.

In other words, AI can be your secret weapon for SEO. And the best part is that you don’t have to be a tech expert to use it. There are plenty of AI-powered tools out there that are designed for writers of all skill levels.

Here are just a few of the ways AI can help you with your SEO:

  1. Generating Better Headlines

One of the most important aspects of SEO is creating headlines that are both attention-grabbing and informative. After all, your headline is what will make people want to click on your article in the first place.

 Thankfully, there are now AI-powered tools to help you write better headlines.

  1. Identifying the right keywords for your content

Another important aspect of SEO is using the right keywords throughout your content. This can be tricky, as you don’t want to stuff your keywords in awkwardly or use them too much.

Thankfully, there are AI-powered tools that can help you identify the right keywords. 

  1. Formatting Your Text for Search Engine Optimization

Finally, AI can also help you format your text to rank higher in SERPs. Check out this list of AI writers to learn more about the best tools for SEO AI content generation. On the blog post, you’ll find AI writers with SEO tools, including Frase, Outranking, ScaleNut, ContentBot, MarketMuse, Jasper, CrawlQ, Longshot, and NeuralText.  

Chatbot Tools 

One area where AI tools are making inroads are chatbot tools that provide AI conversation. An example of a case study would be Amtrak. The company has 20,000 employees and carries 30 million people per year. Amtrak.com gets over 375,000 visits per day. Through its chatbot called Julie, the company allows travelers to book train travel by simply telling where they want to go and when they want to arrive. AI-driven Julie answers five million questions every year. With Julie, Amtrak improved its booking rates by 25 percent. Through Julie the chatbot, bookings generate 30 percent more revenue. Julie has produced an 800% return on investment for Amtrak. https://overthinkgroup.com/chatbot-case-studies/ 

Sales intelligence

Sales intelligence is the process of gathering and analyzing data about customers, competitors, and market trends to inform sales strategy and enable more effective selling. AI can play a valuable role in sales intelligence by providing insights that would be otherwise difficult or impossible to obtain.

For example, AI can analyze large amounts of data to identify patterns and trends. This information can develop sales strategies, potential target customers and optimize marketing campaigns.

AI can also monitor customer behavior and identify when a customer is likely to make a purchase. This information can be used to trigger targeted marketing campaigns or even personalized sales pitches.

Overall, AI can significantly boost sales intelligence by providing access to insights that would otherwise be difficult or impossible to obtain. When used effectively, AI can help marketers make better decisions, improve customer targeting, and optimize marketing campaigns.

An example of a sales intelligence tool for AI is Contentmasterai; it helps marketers with their sales intelligence strategies. It does this by providing access to insights that would otherwise be difficult or impossible to obtain.  Contentmasterai can help sales teams make better decisions, close more deals, and build stronger relationships with their customers by providing access to data-driven insights.

There is no doubt that artificial intelligence (AI) radically transforms the marketing landscape.

2. What are the potential implications of artificial intelligence on marketing in the future, both positive and negative?

 Marketers are always looking for new and innovative ways to reach our target audience. What happens when a new technology changes the game? Could AI become our new best friend? Or is it something to be feared? 

While there are many potential benefits to using AI in marketing, it’s essential to be aware of the potential negative implications as well. Data collected without consent, fake news, and manipulation of search engine results can all have harmful effects on individuals and society.

For example, AI can create “fake news” or false information that is designed to look like real news. This fake news can then be spread through social media and other channels, potentially reaching many people.

AI can collect data about people without their knowledge or consent. This data can then be used for marketing purposes or sold to third parties. For financial institutions, AI can gather data about a person’s financial habits and preferences. While this information can provide better service, it can also be used for less savory purposes, such as identity theft or fraud. 

While AI can benefit grocery stores, some potentially harmful implications should be considered.

One of the primary ways that AI is used in food marketing is through targeted ads and personalized recommendations. By analyzing past purchase history and other data, AI can provide customers with ads and offers for products tailored specifically to them. While this can be helpful in some cases, it also can create an “echo chamber” effect, where people are only exposed to ideas and products that confirm their existing beliefs. This could lead to people becoming more entrenched in their own bubble and less likely to try new things.

Another potential downside of using AI for food marketing is that it could advertise even more “junk food.” Because AI can target ads specifically to individuals, there is a danger that people who are vulnerable to junk food marketing will be bombarded with advertisements for unhealthy products. This could lead to people consuming more unhealthy food, which would negatively affect their health.

Overall, while AI can benefit grocery stores, some potentially harmful implications should be considered. When using AI for food marketing, it is vital to be aware of the potential risks.  

3. How will artificial intelligence impact marketing and advertising in the future?

With its ability to process large amounts of data quickly and accurately, AI provides marketers with invaluable insights into consumer behavior. This, in turn, is helping marketers create more targeted and effective advertising campaigns. This will have a profound impact on advertising. AI can target ads more effectively, based on a customer’s individual preferences and past behavior. And AI is increasingly being used to create and place ads. For example, Google’s AdWords system uses AI to automatically place ads on websites likely to generate the most clicks. Similarly, Facebook’s ad-targeting system relies heavily on AI to select the best placement for each ad.

There is no doubt that artificial intelligence (AI) will significantly impact marketing and advertising in the future. Here are just a few ways that AI will change the way these industries operate:

  1. Increased personalization: AI will allow marketers to personalize their messages to individual consumers more than ever before. This could include everything from targeted ads to customized product recommendations.
  2. Improved customer service: AI chatbots will be able to handle basic customer service inquiries, freeing up human agents to handle more complex issues. Additionally, AI will help businesses proactively address customer problems before they arise.
  3. Greater efficiency: AI can automate many marketing and advertising tasks, from email marketing to social media campaigns. This will free up human employees to focus on more strategic tasks.
  4. Deeper insights: AI can help businesses gather and analyze data more effectively, providing insights that can guide marketing and advertising decisions.
  5. Faster decisions: With AI-powered automation, businesses will be able to make real-time decisions about their marketing and advertising campaigns.AI will profoundly impact marketing and advertising in the future. By personalizing messages, improving customer service, and automating tasks, AI will help businesses operate more efficiently and effectively.

As we’ve reviewed, these are the three things marketers should ask: 

  • How can marketers begin to implement artificial intelligence into their strategies today?
  • What are the potential implications of artificial intelligence on marketing in the future, both positive and negative?
  • How will artificial intelligence impact marketing and advertising in the future?

Overall, AI will impact marketers in both positive and potentially harmful ways; the critical aspect to consider is to plan how to manage both the challenges and opportunities AI presents to marketers. Marketers will have to be prepared for those challenges by reviewing what’s happening with AI companies in such areas as AI writers. In the meantime, we’ll keep you updated here on this blog.

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What is the future of Digital Marketing and AI?

What is the future of Digital Marketing and AI?

What is the future of Digital Marketing and AI?

Marketers, it’s time to panic. Just kidding…or am I? The digital marketing landscape is changing faster than we can keep up, and what worked yesterday may not work tomorrow. So where is digital marketing headed in the future? And more importantly, how do we prepare for it? Continue reading to find out!

How will AI Change Digital Marketing? 

The rise of artificial intelligence (AI) is one of the most talked-about topics in business today. It’s been called a “game-changer,” and for good reason: it has the potential to transform every industry on earth.   Paul Roetzer, CEO of the Marketing AI Institute recently wrote: 

“There will be three types of businesses in every industry: AI Native, AI Emergent, and Obsolete.”

And this includes all of us who call ourselves marketers. Mmm hmm, it’s here to stay.

But what exactly does this mean? And how can we leverage this technology to make our digital marketing more efficient and effective?

In this post, I want to take you through some of the ways AI is already changing the way we do things and where it could go from here.

How is AI Changing Digital Marketing Today?

Let’s start with the basics. What is AI?

Artificial Intelligence is simply a computer program designed to mimic human thought processes. It’s human-like, but it doesn’t show up to work hungover on Friday morning. These programs can learn and adapt over time, allowing them to solve problems or complete tasks better than humans alone. And they accumulate PTO, so they are working 352 24/7.

Artificial Intelligence is the ability of machines to perform tasks usually associated with human thought processes. This includes everything from speech recognition to image recognition to machine learning. And these capabilities are getting smarter by the day (literally).

As an example, let’s look at speech recognition. Siri and Alexa are using AI to help them determine what you are asking and provide the best responses. They draw artificial intelligence and machine learning based on huge datasets and choose the best answer. You may have noticed that your voice assistants have improved over time. They have learned the correct responses based on feedback from you and millions (billions?) of other people and responses to similar inquiries in the past.

Ok. But Here’s the question all marketers are thinking: Will AI Replace Human  Marketers?

Nope.

Marketing involves appealing to logic and emotion. And, while AI can help you to understand your customer. It hasn’t evolved to understand the feelings of your customer.  Although AI programs embedded in programs like Grammarly can advise you on the tone of your writing, human marketers need to determine the emotions necessary in copywriting and other communications. 

Another essential skill in marketing, storytelling, is still part of the bailiwick of human marketers. Although some AI tools have rudimentary storytelling capability today, tales of woe and triumph are best reserved for human marketers. But be prepared; as AI capabilities evolve, the role of the human marketer will also evolve.  Marketing is not the only discipline evolving due to advances in AI. You’re not alone.

What Can AI Do Already?

A lot! 

Here are some of the functions that are already the purview of AI in Marketing

  • Automating routine and repetitive tasks and processes

    • Content curation – No more searching for articles to share!
    • Pay-per-click ad management – You may be kissing your Google Ads expert goodbye soon.
    • Automate some email replies – Who wants less email?
    • Chatbots – personally, not my fave.
  • Compilation and analysis of large data sets to

    • Identify patterns – How many marketers do you know that love statistical analysis?
    • Create predictions – Tell me 8 Ball – What does the future hold?
    • Improve customer experience by providing insights into your customers and tailoring experiences based on their preferences. – How did Amazon know I was out of TP?
    • Forecast future customer behavior – Sometimes before they know it themselves!
  • Develop Content

    • AI Content Generation can write blogs, ads, titles, outlines and SEO copy
    • AI SEO programs suggest keywords, topics, and content. They also develop writer briefs.
    • AI Video and other AI creative can create captions, suggest images, create video or using AI Generated Actors based on actual humans.

What do writers think about AI Writer technology?  See and read what they have to say here: Writers on AI Content Writing.

The Benefits of Using AI in Digital Marketing

The benefits of using AI in digital marketing are numerous. It is a great way to improve the user experience and increase conversions. Here are a few reasons you need to jump on board with AI and quick:

Improve User Experience with AI

One of the most important reasons people love using AI is because it improves their user’s experience. The more intuitive an interface is, the easier it is for users to navigate through it. This makes them feel comfortable with the product or service they may be using.

Increase Conversions with AI

When you have a good user experience, you also get better conversions. You can create a seamless flow between the two by ensuring no friction when customers interact with your products or services.

Reduce Human Error with AI

When humans make mistakes, they tend to do so repeatedly. With AI, however, you don’t need to worry about human error as much. You don’t have to give AI a verbal warning for messing up too many times!

Create Better Customer Experiences with AI interactive websites

You can tell whether visitors are interested in something on your website and then show them relevant content.

Automate Marketing Processes

Marketing automation is one of the most significant advantages of AI. When you automate processes, you save time and money. Time and money are about all we have. Who doesn’t need their own personal minion to automate their tasks?

You can start small with basic tasks like email campaigns and eventually expand into more extensive content creation and customer support projects.

The time saved can be redirected to higher-level marketing activities such as creative thinking and planning.  To make more time and more money and then, well, I think you get the point.

The Challenges of Using AI in Digital Marketing

First, don’t be afraid. AI’s your friend. It’s a fantastic technology that has been around for decades but this technology is different. Instead of always being behind the technology learning curve, AI is going to let you catch up!  AI is already here; there is no turning back the clock. It’s wise to invest time learning as much as you can about the tools and how AI might help you do more and be more effective. Knowledge is power. 

Second, AI’s not all that. Make sure that you understand the limitations of AI. There are many different types of AI, each with its strengths and weaknesses. For instance, bias (gender, racial, ageism, you name it)  can creep into AI.  Know how to spot it and keep it from invading your marketing. And AI won’t allow you to sit back on your laurels and just push buttons. AI is not going to do your work for you. Like your loyal labradoodle, you need to train it how to sit and fetch and get you a beer (wine) out of the fridge. And once you have it trained and understand how to best work with it, you will get the best results. It will take some trial and error, but in the end, you will come to love your big fluffy AI. 

AI can help you identify potential customers, but it won’t choose a content strategy for you. You are still 100% in control of your strategy, goals, and tactics. You are the great and powerful Oz!  And, AI is your trusted assistant. It will provide you with input and possible ideas on strategy and tactics, but it will not do it all for you.

Measurement is critical.  If you can’t measure it, then how do you know if it’s actually helping? Determine upfront how to measure the impact of your AI-powered campaigns. Never choose an AI technology and then force-fit it into your process. This is Bass Ackwards!  First, determine the best areas where automation and AI could potentially improve your results, and then go out and look for AI solutions.

What Does the Future Hold for AI and Digital Marketing?

Who knows? But here’s what I think…

We are just on the cusp of all of the possibilities for AI and Marketing. The future is limitless. Monotonous, repetitive tasks will disappear. Your AI technology will help you determine the best ways to attract and retain customers and improve your brand. 

Those companies that fully embrace AI now will have a distinct competitive advantage over those that do not. 

Writers and creatives that use AI technologies such as AI Writer tools and new AI art/media platforms coming from DALL-E , AI-powered art, and other technologies make you better and faster and get you greater success. 

Marketing executives like CMOs and Marketing Technologists will have dashboards powered by AI that will allow them to make adjustments to plans and strategies in an agile manner that can be expediently implemented throughout the organization to lead by data and predictive technologies. Leaders will lead with data and can share the all-important answer to the question, Why?

Marketers will reach new levels of sophistication and responsiveness to customer demand by receiving real-time data using analysis of large data sets to help determine the best possible strategies for effective marketing campaigns. And marketers will have the ability to adjust those campaigns in real-time to optimize success.

So marketers, is it time to panic? Never! You’ve got this. The future is now. And the future of Digital Marketing is AI.

What do writers think about AI Writer technology? See and read what they have to say here: Writers on AI Content Writing.

References:

https://marketinginsidergroup.com/content-marketing/the-future-of-digital-marketing-predictions-trends/ 

https://rockcontent.com/blog/will-ai-replace-digital-marketers/

Image by PublicDomainPictures from Pixabay

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From Typewriters to AI Content Generators – The AIContentGen Market Survey

From Typewriters to AI Content Generators – The AIContentGen Market Survey

From Typewriters to AI Content Generators – The AIContentGen Market Survey

In 1979 I left for my Freshman year in college at the University of Massachusetts, Amherst.  I jumped into my Chevy Chevette packed to the hilt that included a high school graduation gift from my parents, a portable, manual Smith-Corona typewriter.  Little did I know that my popular typewriter came from a highly concentrated industry that a decade prior was dominated by only five companies accounting for 79.7% of the market, spurring action by the FTC.1

Now we’re looking to identify a similar but 2020’s market size and share, albeit at a different maturity curve.  AIContentGen is working on a market size survey for the AI content generation industry. We are using various approaches to gather information and estimate the market’s current size for AI content generation software. 

The survey will be sent to AI companies to ask a series of questions about their sales of AI content software and information about growth rates. As a result, AIContentGen will develop research on: 

  1. The size of the market
  2. Growth rates

The objective is to estimate the potential market for AI content creation and the percentage of customers willing to adopt AI content software. If you had a market of 1000 customers, 20% of customers are willing to buy and use AI software, the market size would be 200 customers. 

Another way to estimate the market potential is to conduct surveys with customers and determine the percentage of customers in a market using the product and the number of customers considering jumping in. 

In addition to estimating the potential size, we can also conduct a survey of AI companies and ask how many subscribers they have using the software. 

Some AI companies might be concerned about not participating in such a survey. Here are some reasons why it’s important to give some numbers on the market’s potential size, the current size of the market, and the growth rates. 

  • Start-up AI companies are looking for venture or angel investment; if the market can demonstrate a potential business in the industry, it will make it easier to raise additional investments. 
  • Customers waiting on the sidelines will be more willing to jump in and start using AI content generation tools if they get a sense of the current scope of the market. 
  • Sizing the market by industry or type of content will help you focus marketing efforts or avoid working in a market that you think has sufficient customers but doesn’t. 
  • By understanding the market scale, AI companies can estimate their profits and what resources will be available to generate revenue based on potential profits. Further, suppose there are more players in segments of the market. In that case, a market size report can be used to understand the potential profit that could be made based on the market size for an industry or type of content and the number of competitors in the market. 

Quotes from investors: Why a market size view is important

Ray Chang  – Founder, Advisor, and Investor

“Knowing and understanding the market size helps investors understand what the available profit could be.  Some investors may be less risk-averse and would rather play in a small market than a bigger market.  Or, from a strategic point of view, a smaller market would be better for one application of a product to test it out.  If it’s successful, perhaps they could expand to other markets with changes such as language or color, etc.”

 

Lauren Nham – Product + Ventures + Investor – NewChic Capital, MetaCap Ventures & GovingVC Partners

In short, attractive underserved markets. Market opportunity & market timing.”

“What’s the current state, and where will it go? Where does it cross over and connect across industries and functions and geopolitical regions? For example, consumer behavior and needs evolve, and how well the market serves (or underserves) target market segments constantly fluxes. Too large and the market is only suitable for late-stage, too early, and the mainstream PMF (Product Market Fit) may exist beyond target return windows.

A true understanding of the market would identify interlocks across different sectors and tranches of the value chain. The ability to see the market in a truly multi-dimensional view is where the opportunity lies.”

Examples of  Market Size Studies Impacting New Industries

Word of Mouth, MarTech & ABM

The Word of Mouth Marketing Association was founded in 2004. The association was a trade group set up to promote Word of Mouth Marketing, which was the term used in the industry before the adoption of social media. WOMMA had companies as members, and the trade group held industry meetings, conducted important research on the value of word of mouth marketing to companies, and generally promoted the industry. Without WOMMA and its work, social media would not have been adopted as quickly as a strategy by as many companies as it was in the United States; the trade group helped demonstrate the market potential and size. The Association of National Advertisers acquired WOMMA in 2018.

MarTech

Scott Brinker’s now famous Marketing Technology Landscape Map infographic showing the extent of the Marketing Technology industry helped popularize the growing importance of Marketing Technology amongst marketers. The series of yearly infographics illustrate the growth of the industry and its weight in the industry. Without the infographic, customers will not be as aware of the different marketing technology categories or that their peers and competitors are using so many kinds of marketing technology. The landscape Map helped set the industry’s understanding of the importance of the industry and fueled lots of interest from customers in what technology to pick. 

Martech Landscape 2020

 

Jon Miller’s ABM Market Map

Co-founder of Marketo, Jon Miller, helped explain the benefits of Account-Based marketing with his simple ABM Market Map; again, he helped scope out the different categories of marketing technology that make up the strategy of ABM. Marketers used the map to follow the strategy of ABM and select vendors for marketing technology. 

The AIContentGen Market Survey

Will our Market Survey show a highly concentrated market for AI Writers? Not likely. But this first market survey will put a stake in the ground and we hope that it will benefit all stakeholders in the market. 

Do you work at an AI Content Generation company and would like to get a hold of an AI Content Generation Market Size Report?  The first step is to contact AIContentGen to answer our Market Size Survey. 

Footnote:

1 “In 1968 the year prior to the acquisition in question the two top ranking firms IBM and Royal accounted for about 50.3 percent and the four leading firms IBM Royal SCM and Olivetti Underwood for about 79.7 percent.

FEDERAL TRADE COMMISSION DECISIONS V FINDINGS OPINIONS AND ORDERS JANUARY 1 1973 TO JUNE 30 1973 PUBLISHED BY THE COMMISSION VOLUME 82 UNITED ALTRADE 2903 S OFAMER Compiled by Rules and Publications Section of the Office of the Secretary US GOVERNMENT PRINTING OFFICE WASHINGTON 1973 sale by the Superintendent of Documents US Government Printing Washington DC 20402 Price 14.95 STOCK NUMBER 1800 00159 p. 1009.

See the AI Content Generation ScoreCard and Analysis

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