9 Proven Ways To Apply AI to Your Marketing (+ Examples)
Artificial intelligence is an absolute game-changer in the world of marketing.
At first, marketers were a little skeptical about its application, so it took a while for it to take off.
But boy, has it taken off.
Between 2018 and now, the AI software market has grown by 407.6%, according to Statista.
In 2025, the industry will be worth $126 billion.
Now, there’s a good reason for this seismic shift in demand for AI software: it works.
But you might be wondering how, right?
Well, we’ve got you covered.
Today, you’ll read about:
- 9 practical applications of AI in marketing — so you can start thinking about which areas of your marketing you could benefit from some new software.
- A real-world example of each application of AI software — to give you ideas on how you can use it in your own business.
- And how AI software streamlines your digital marketing and saves you time while making you more money.
Getting more done in less time and with more precision is a no-brainer. So let’s get straight into the first way you can apply AI to your marketing projects.
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Application of AI in Marketing #1: Copywriting
Writing copy for your marketing content, such as blogs, landing pages, ads, and email, can eat up a lot of time.
For example, recent research from Orbit Media shows that the average blog post takes just over 4 hours to complete.
But luckily there are AI software out there you can apply to your copywriting tasks.
These tools can write in a way that sounds just like a human wrote it. You simply feed some inputs, and machine learning will take care of the rest.
Some tools can even pull information straight from the internet for you.
What’s great about copywriting AI software is that they’ll stick to your unique brand voice too. Of course, these tools aren’t the be-all and end-all of copywriting since you’ll still need to make some edits here and there. But overall, it massively increases productivity.
Example of This Application
Event planning retailer Party City used Phrasee to send personalized email subject lines to its customers. As a result, the company saw 300,000-plus more opens per email and a 4% increase for in-store purchases.
Application of AI in Marketing #2: Competitor Analysis
Okay, so you’re always looking to stay one step ahead with your marketing, right? I mean, who wouldn’t?
And one of the best ways to do that is by monitoring your competitors.
Now, I’m not talking about simply checking out your competitors’ websites or something as uninspiring.
No, I’m talking about digging into some hardcore data.
You see, there are AI programs that keep tabs on the performance of your competitors’ social media, web design changes, product promotions, customer reviews, content pieces, press releases, and more.
The idea is, you’ll know when your competition makes a new move and what kind of strategies are working for your target audience. At the same time, you’ll uncover new market opportunities and places where you can differentiate your brand.
Example of This Application
Women’s fashion retailer PrettyLittleThing wanted to know how they could convert more consumers at the bottom of the sales funnel using paid ads.
So they applied an AI-powered competitor-analysis research tool called Adthena to their workflow.
By discovering the keywords that were receiving the most engagement for their competitors, PrettyLittleThing saw a 47% increase in share of clicks for generic text ads and 225% more clicks for Google Shopping ads than the previous year.
Application of AI in Marketing #3: Website Design
A/B tests are a great way to understand your website visitors.
By testing your pricing page, homepage, and other webpages, you’ll paint a clear picture of who your customers are and where their preferences lie.
As pointed out in our Proven Sales Conversion Pack, testing something as simple as a lead sign-up form can boost conversions by 262%.
Besides helping write copy for landing pages, AI can be applied to your web design too.
And where AI can take things a step further is that it can test many variables simultaneously.
Because usually in testing websites, it’s just a test of one or two versions. Sometimes it might be three or four.
With AI software, you can test a ton of different things and even come up with different combinations.
Really, it gives you a much wider range of options.
Example of This Application
Automobile maker Kia only had two months to come up with a new redesign for its Korean website.
Between thousands of design variables and limited time, standard A/B and multivariate tests were out of the question.
So Kia’s marketing team used Evolv’s Acend technology to test 2,592 total variant combinations.
Now, the idea was to get users to click on a button to learn more about a vehicle. It could be an electronic brochure, pricing information, schedule a test drive, etc.
And to increase click-throughs, the team tested the following:
- CTA colors
- CTA shapes
- CTA sizes
- CTA order
- Time duration each vehicle panel was shown
After the application of Evolv’s AI testing software, Kia was able to commit to an optimal design.
As a result, the new web design generated 113% more clicks than the control design.
Application of AI in Marketing #4: Social Media
Do you ever get stuck on how to craft a social media post?
Or what time to publish your post?
Well, AI can come to the rescue.
A lot of the AI software out there for social media will gather rich audience insights that you can use to win them over — including keywords and phrases they use, content preferences, sentiment towards your brand, emerging trends, etc.
Example of This Application
Global lifestyle brand Away ramped up its social media engagement once they applied the AI-powered social analytics platform Unmetric to their tech stack.
Using Unmetric, Away could easily see which of their content was resonating with their audience as well as how their approach matches up against their competitors.
Long story short…Unmetric took some really complex data across several areas of multiple social media channels and turned it all into actionable insight for Away.
In the end, Away has seen 3 times the user engagement on social media by using Unmetric.
Application of AI in Marketing #5: Proofreading
There’s nothing more unprofessional than poor grammar.
Now, it might sound harsh, but it’s hard to take a company seriously if they can’t, well let’s say, add a period at the end of a sentence. Pretty simple stuff.
Actually, in a study cited by LinkedIn, 59% of Britons wouldn’t purchase from a company that has obvious grammatical and spelling mistakes on its website and marketing material.
In another study, it was found that landing pages with typos have an 85% higher bounce rate compared to landing pages that don’t have typos.
For a while now, there’s been AI software available to prevent ridiculous grammar mistakes like the one you see above.
You simply copy and paste your text into a document, and the AI will detect errors in spelling and poor sentence structure. In many cases, the software allows for a browser extension for easier access.
By using proofreading software, your content is more readable.
Plus, you won’t scare anyone away.
Example of This Application
At Growbo, we make sure to use cloud-based typing assistant Grammarly for all of the content we write on our blog and for our clients.
Although we have editors that proofread our content, Grammarly finds a lot of flaws before a piece of content is reviewed by an editor — saving time and detecting errors that can easily be overlooked by human eyes.
Application of AI in Marketing #6: Chatbot
Customer service can either add value to your business or it can cripple it.
Nowadays, customers want to reach out to you on multiple channels. It’s getting rarer for customers to call you up on the phone with a question.
Heck, last week I got a response from Spotify within a half hour on Twitter.
You see, 88% of U.S. consumers expect you to have a digital self-service portal, according to Statista.
And a chatbot can take care of all this for you.
A chatbot can take into account a customer’s unique question and answer it instantly in a human-like way. It can even factor in a user’s behavioral or demographic data and follow up with personalized recommendations.
Conversational bots can be applied to your social media, your website, and even SMS.
Example of This Application
U.K.-based van-leasing company Vanarama makes use of ubisend’s chatbot across Facebook and on its website.
The chatbot, named iVan, is able to do anything from answering FAQs to closing a sale using conversational AI.
A user will receive relevant follow-up messages based on factors like what vehicle model they’re interested in and whether they’re a new customer or revisiting.
With the application of iVan, Vanarama has generated 30,000 leads.
By answering over 4,000 messages per day, iVan saves the marketing and sales team a lot of time.
Application of AI in Marketing #7: SEO
In the world of digital marketing, SEO is perhaps the most important element to get right.
Without an effective SEO strategy, you won’t generate acceptable amounts of website traffic. And when that happens, well…I don’t need to say more.
According to a poll conducted by Search Engine Journal, 1 out of 2 marketers say organic search reels in the highest ROI for their websites.
If you’re not reaching your SEO goals, there are numerous options when it comes to AI-driven tools to help optimize your keyword strategy.
There are algorithms that can review all your web pages and apply recommendations with a click of the button.
By scanning your content and benchmarking your website against your competitors, you’ll gain a better understanding of what keywords you should be targeting.
Plus, if you see your Google ranking drop, some of these AI tools will tell you why it happened — so you can fix it right away.
Example of This Application
There’s a machine learning software called CanIRank that sifts through SEO data of over 200,000 websites — and uses that data to recommend keywords that work best for a particular website.
One of its customers, a small SaaS startup, managed to increase monthly organic traffic from 141 website visitors to 150,000 visitors in just six months.
In addition to creating keywords and keyword variants that worked well, CanIRank identified opportunities for receiving backlinks from other websites too — which is a great way to bolster your domain authority.
But remember, backlinks are about quality, not quantity.
Application of AI in Marketing #8: Personalization
It doesn’t matter if you’re buying software for your company or a new toy for yourself, everyone loves a personalized shopping experience.
And as reported by McKinsey & Company, 71% of consumers expect your content to be personalized these days.
AI personalization software can be applied to the following marketing touchpoints:
- Chatbots
- Dynamic landing page copy
- SMS
Of course, in order for personalized messaging to take place, you need to segment your audience based on data such as gender, location, triggered events, purchase history, income level, etc.
And it shouldn’t be that hard to collect that information.
A recent report from Accenture found that 83% of shoppers are willing to exchange personal information for a personalized shopping experience.
So your personalization software will enable you to make sure each lead you have will be left feeling valued because you delivered the right messages at the right time.
Example of This Application
Sephora SEA transformed the customer experience by leveraging Dynamic Yield’s AI-based personalization software.
As an example, if someone searched for a product on the Sephora website and got no results, they’d see recommended products based on previous browsing history instead of seeing nothing (and inevitably leaving).
With this simple move, Sephora generated 30% more add to carts compared to a control group.
Sephora SEA also improved its click-through rates by making the store location page more personalized.
They added a banner that promotes gift cards, popular items, and rewards members for shopping in-store as well.
Because as popular as online shopping is, a lot of people still prefer shopping in-person after discovering products on the internet.
Application of AI in Marketing #9: Predictive Analysis
One of the most crucial aspects of marketing is knowing when to ask for the sale.
Because you don’t want to be too aggressive too early. That’s a good way to annoy people.
Instead, you need to take a marketing approach where you only reach out to people with relevant offers according to the stage they’re at in the sales funnel.
And predictive analysis software will help you with that.
With the application of this kind of AI software, you’ll know the likelihood of someone converting from a particular piece of content or what kind of value you can expect long-term from this individual.
You see, humans simply can’t process as much data in a short time span to draw conclusions like machine learning can — which is probably why the industry is growing at a compound annual growth rate (CAGR) of 23.2%, as per Grand View Research.
Example of This Application
Favbet, a European sports gambling company, settled on using AI software called Optimove, which allows brands to send tailored messages using machine learning.
One of the core features of Optimove is predictive technology, which allows Favbet to get a sense for player churn predictions and how profitable each user will be to the company.
With that, the Favbet marketing team made sure to send relevant emails at the right time to each of the microsegments they created.
With the help of predictive analysis, Favbet increased the average player lifetime value by 200% and monthly revenue by 250%.
Conclusion
Download the “9 Proven Ways To Apply AI to Your Marketing (+ Examples)” so you won’t forget to take action on it later. Click here to download it now.
As you read today, there are numerous ways that AI can be applied to your digital marketing efforts. Really, we only scratched the surface here.
Software has come a long way and opens a lot of doors for a modern business.
What once may have taken days or weeks to manually process can now take less than a minute. And with laser-like precision.
Of course, as the saying goes, “You gotta spend money to make money.”
And that goes for more than just investing in new AI technologies. You also need to invest in manpower to make these technologies bring your profits.
On that note, Growbo can help you scale your business without the typical headaches of hiring. Using our project management software, you simply tell us what task you want us to do and you can sit back to watch it all unfold. If you’d like to learn more about this opportunity, Watch a Demo.
Now tell me,
What aspect of your marketing could use the application of AI?
Let me know in the comments below.
Keep Growin’, stay focused.
