10 Impressive Examples of AI in Marketing (2022)

Today’s marketers are all looking for new ways to find and attract their ideal audience. But in the fast-paced and ever-evolving digital marketing landscape, it’s getting harder and harder to reach your people and get results.

Enter AI in marketing.

What Is Artificial Intelligence Marketing?

Artificial intelligence marketing (AI Marketing) is a method of leveraging customer data and AI concepts like machine learning to anticipate your customer’s next move and improve the customer journey.

10 Impressive Examples of AI in Marketing (1)

Advancements in Artificial Intelligence offer companies better ways to do that. AI can help build more effective marketing strategies, improve the customer journey, and change the way businesses attract, nurture, and convert prospects. The graphic below shows how AI and machine learning can be incorporated into every step in the customer’s lifecycle.

10 Impressive Examples of AI in Marketing (2)Examples of AI in Marketing

Source: Smart Insights

AI in marketing may feel more science fiction than fact to many, but it’s not a far-off concept; it’s here right now. According to Salesforce, just 29% of marketing leaders used AI in 2018, but that number surged to 84% by 2020. And by the end of 2021, global spending on artificial intelligence hardware, software, and services is expected to exceed $340 billion, per a forecast from IDC.

10 Impressive Examples of AI in Marketing (3)Source: Salesforce

If you haven’t considered the power of AI for marketing, now’s the time to learn more. To help you get started, we’ve compiled ten impressive artificial intelligence marketing examples.

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Magnolia Market, the brick-and-mortar shop owned by Joanna and Chip Gaines, is known for its stellar customer experience. The mission of Magnolia’s physical location is to “inspire you to own the space you’re in.” They created an authentic brand experience combining food, games, shopping, and a garden to achieve this goal.

Source: Shopify

Because not everyone can visit the Magnolia Silos, the team felt that its e-commerce operation also needed to deliver the same experience. Magnolia worked with Shopify Plus to create a storefront and an augmented reality app that allows users to view products in 3D and “place” them in their homes. AR allowed Magnolia to render its products with the highest-possible photo-realism. The results set Magnolia apart from the competition and strengthened its e-commerce arm, a key driver for company growth.

10 Impressive Examples of AI in Marketing (4)Chase Pairs up with Persado

Source: Persado

Chase Bank signed a five-year deal with Persado, a New York-based company that applies artificial intelligence to marketing creative. After testing Persado’s solutions, Chase found that using machine learning in their copywriting helped them achieve more humanity in their marketing.

For example, one digital ad written by humans read: “Access cash from the equity in your home.” Persado’s version, on the other hand, read: “It’s true—You can unlock cash from the equity in your home.” The latter version performed better with customers.

Chase is the first to engage in this type of large-scale machine learning copywriting, but other brands are planning to expand the use of Persado’s technology. According to Persado, the company already works with 250 marketers across retail, finance, and hospitality.

According to the research firm Aberdeen, companies identifying customer needs through predictive analytics can increase their organic revenue by 21% year-over-year, compared to an average of 12% without predictive analytics.

Starbucks is one example of a brand using its loyalty card and mobile app to collect and analyze customer data. They announced plans for personalization back in 2016.

10 Impressive Examples of AI in Marketing (5)Starbucks Personalized Recommendations

Source: GeekWire

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Since then, they’ve built quite the app experience. It records the details of purchases, including where they are made and at what time of day. Starbucks uses predictive analytics to process this data and serve customers with personalized marketing messages. These messages include recommendations when a user approaches a local store and special offers to increase the customer’s average order value.

Retail giant Alibaba opened a physical “FashionAI” store in Hong Kong to streamline the fashion retail experience through Artificial Intelligence. Alibaba equipped its stores with intelligent garment tags that detect when the item is touched and smart mirrors that display clothing information and suggest coordinating items. Alibaba also has plans to integrate the brick-and-mortar store with a virtual wardrobe app that will allow customers to see the outfits they tried on in-store.

Alibaba’s use of technology is a response to the consumers’ shifting expectations. According to a National Retail Federation survey, 80% of shoppers say retail technologies and innovations have enhanced their online buying experience, while 66% say the same about brick-and-mortar retail.

10 Impressive Examples of AI in Marketing (6)Unilever Uses AI in Marketing

Source: CampaignLive

Consumer goods company Unilever uses AI data centers across the globe to synthesize insights from a range of sources, including social listening, CRM, and traditional marketing research. Using this technology, Unilever discovered a link between ice cream and breakfast: at least 50 songs in the public domain include lyrics that talk about “ice cream for breakfast,” and businesses like Dunkin’ Donuts are already selling ice cream in the morning.

Unilever took this insight and developed a range of cereal-flavored ice creams (including Fruit Loop and Frozen Flakes) for the Ben & Jerry’s brand.

Amazon was a pioneer in using machine learning to offer personalized product recommendations. Still, it has been a challenge for the brand to extend these capabilities to companies running their sites on Amazon Web Services.

In June 2019, Amazon announced the general availability of Amazon Personalize, which brings Amazon.com’s same machine learning technology to AWS customers for use in their applications.

The Amazon team has enhanced its functionality since the initial rollout, to the extent that Personalize can now deliver up to 50% better recommendations across a range of fast-changing product types, including books, movies, music, and news articles.

10 Impressive Examples of AI in Marketing (7)Amazon Personalize

Source: VentureBeat

Brands including Domino’s, Yamaha, Subway, and the wedding company Zola are already using Personalize to highlight musical instruments, in-store catalogs, deliver ingredient and flavor recommendations, and devise individualized style combinations.

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10 Impressive Examples of AI in Marketing (8)Sephora’s Chatbots

Source: Clickz

According to Drift’s latest State of Conversational Marketing report, chatbots are seeing faster growth than any other brand communication channel, with usage increasing by 92% between 2019 and 2020.

Beauty brand Sephora was an early adopter of AI. They began using a chatbot to dispense beauty advice on Kik in 2017.

Sephora’s chatbot helped consumers narrow down choices, beginning with a quiz about their product preferences. Product preferences are especially helpful in the cosmetics industry, where the options can be overwhelming and difficult to purchase without testing in person. Sephora gained valuable insights from their chatbot and saw enough engagement from that experiment that it’s since launched more chatbots on Messenger.

Global e-commerce marketplace eBay is always striving to find new ways to engage customers. That means it’s got plenty of AI marketing examples to show us.

Since 2016, the company has been working with artificial intelligence-powered customer experience platform Phrasee to enhance its marketing copy, focusing on email.

For the average brand, optimizing email marketing performance is relatively simple. A/B-test a couple of different subject lines or CTAs; see which works best; do more of it. But things get a little trickier for a company of eBay’s scale. With over 101 million email subscribers across the US, UK, and Germany alone, crafting impactful subject lines to drive open rates is a colossal undertaking.

Wanting to shift the creative burden away from its internal team, eBay turned to Phrasee, which uses a combination of natural language generation and deep learning to create copy at scale while dynamically optimizing performance.

10 Impressive Examples of AI in Marketing (9)Phrasee’s approach to AI content creation & optimization

Source: Phrasee

Phrasee’s computational linguistics team built language models for eBay, allowing the e-commerce giant to generate custom copy tied to its brand tone, customer needs, and specific promotions at the click of a button.

In the years since it first teamed up with Phrasee, eBay has enjoyed substantial improvements in its key email marketing metrics, including:

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  • 16% average open uplift
  • 700,000+ incremental opens per campaign
  • 56,000+ incremental clicks per campaign
  • 31% average click uplift

Nike; Alibaba; eBay; BMW. Many of the companies in this article are multinational corporations and household names with marketing budgets larger than most organizations’ bottom lines.

But you don’t need to be a multi-billion-dollar corporation to leverage the benefits of artificial intelligence in marketing, as demonstrated by mattress startup Tomorrow Sleep.

Launched in mid-2017, Tomorrow Sleep only got started with content marketing 12 months later. While it knew that driving organic traffic would be crucial to its long-term success, the company soon realized its longer-standing rivals had the organic search market sewn up pretty tight. It didn’t have the budget and scale to create limitless volumes of content, so it had to focus on the most important, intent-driven terms.

That’s when it turned to MarketMuse, an AI-powered content research, intelligence, and writing platform. First, MarketMuse identified the primary and related topics Tomorrow Sleep needed to create content on; it then analyzed the top 20 search results for each primary topic to track gaps and opportunities.

10 Impressive Examples of AI in Marketing (10)MarketMuse’s content gap tool

Source: MarketMuse

The results were striking. Not only was Tomorrow Sleep now able to outrank much larger competitors like Casper for key topics, but it also saw its organic traffic increase from 4,000 per month to 400,000 per month within a year.

Being a marketer at the American Marketing Association (AMA) can’t be easy. When marketing experts make up most of your audience, you simply can’t afford to send low-quality communications.

Everything needs to be personalized to the needs of individual members. But given the diverse range of the AMA’s content –– covering everything from written content development to UX design –– it was near-impossible to do meaningful personalization for each of its 100,000+ newsletter subscribers.

Impossible without AI in marketing, that is. By teaming up with artificial intelligence-driven personalization platform rasa.io, the AMA was able to take advantage of an AI engine that generates individualized subject lines based on member interest data, thereby highlighting the most relevant and interesting content to each newsletter recipient.

Since joining forces with rasa.io, the AMA has seen its monthly subscriber engagement rate increase by an impressive 42%. As editor-in-chief, Molly Soat explained: “Our members and readers span many industries and specialties, so not every post about marketing will be relevant to all of our subscribers. The ability to personalize this newsletter for individuals within such a massive audience is invaluable.”

From valuable insights to personalized product recommendations and technology-enabled assistance, AI in marketing is already driving some of the biggest advances in overall customer experience. What impressive examples of AI in marketing have you seen lately?

If you’re interested in learning more about how new technologies can help improve your customer engagement strategies, check out our social media strategy conference!

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FAQs

What are some examples of how AI could be used in marketing? ›

Best Examples of AI in Marketing
  • Streamline their workflows to deliver more effective marketing campaigns.
  • Meet their customers' expectations head-on at every stage of their journey.
  • Boost conversions and prompt sales across a multitude of channels and touchpoints.
1 Apr 2022

What are the 4 powerful examples of artificial intelligence? ›

Artificial Intelligence Examples
  • Manufacturing robots.
  • Self-driving cars.
  • Smart assistants.
  • Healthcare management.
  • Automated financial investing.
  • Virtual travel booking agent.
  • Social media monitoring.
  • Marketing chatbots.
17 Aug 2022

What are the three main ways AI can help you with your marketing? ›

Let's get started.
  • Use Predictive AI For Personalization.
  • Improve Content Creation With User Insights.
  • Chatbots And Natural Language Processing.
  • Back To You.
5 Feb 2021

What is an example of the use of AI in digital advertising? ›

So how is AI changing digital marketing? Artificial intelligence is transforming customer-facing services for digital marketers by increasing efficiency and optimizing user experience. One common example of AI across the web is the use of chatbots to provide customer services to users.

How do companies use AI in marketing? ›

4 Ways Companies Are Using AI in Digital Marketing to Improve Customer Satisfaction. When it comes to improving the customer experience using AI, four significant developments stand out: chatbots, predictive and targeted content, content creation, and image recognition technology.

Which company uses AI for marketing? ›

After realizing the benefits that AI brings, companies like Amazon, Google and even Sephora turned attention to state of the art assistants used for marketing, customer relationship management, or recommendation with the goal of boosting sales. BMW is one of the biggest companies which uses AI.

What is AI give examples? ›

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.

What is AI with real time example? ›

AI Examples in Daily Life

“Artificial Intelligence” (AI) has become a buzzword in many technologically related discourses in the current times. Self-driven cars, high-end robotics, AI-driven traffic management, Smart grid maintenance, etc., are a few things that one alludes to when talking of AI.

How is AI changing the market? ›

By helping marketers collect data, identify new customer segments, and create a more unified marketing and analytics system, AI can scale customer personalization and precision in ways that didn't exist before.

How AI will change the future of marketing? ›

With AI-powered tools, marketing teams will be able to automate certain cognitive tasks. They will also be able to spot current trends, as well as predict them for the future, thereby helping to ensure the success of their marketing campaigns.

How is AI used in digital marketing? ›

With AI technology, marketers can spot microtrends and even predict trends. They can then make strategic decisions about where they allocate their budgets and who they target. As a result, brands can reduce digital advertising waste and ensure that their spend delivers the best possible results.

What are the advantages of AI in marketing? ›

Pros of AI in marketing:
  • Personalized and relevant messages. ...
  • Cost savings. ...
  • Streamlines marketing efforts. ...
  • Personalization of products. ...
  • Customers don't always like chatbots or even talking to computers on the phone. ...
  • Computers can't do it without humans. ...
  • Algorithms can be wrong. ...
  • Additional reading:

How can machine learning be used in marketing? ›

Machine learning can be used to optimize and automate marketing campaigns. This opens up opportunities not only to improve the efficiency of launching and operating these campaigns, but also for saving time and money that could be spent on other projects.

How is AI used in market research? ›

5 ways to use AI for data-driven decision making
  1. Start with a formalized data-driven decision making strategy. ...
  2. Map your datasets to your business goals. ...
  3. Collect only data that informs your business decisions. ...
  4. Determine the value of your AI and data-driven decision making framework.
2 Aug 2021

What is an AI marketing bot? ›

AI optimization bots use data and machine learning to capture and analyze a lot of data and create and implement the best segments, campaigns, and optimizations to achieve your target marketing outcome.

Who is the owner of AI marketing? ›

Paul Roetzer, Founder and CEO.

What are the top 10 brands that come to mind first when you think of services solutions for AI solutions eg artificial intelligence cognitive computing solutions services )? ›

Top AI Companies: The Leaders in the Cloud
  • Amazon Web Services. ...
  • Google Cloud Platform. ...
  • IBM Cloud. ...
  • Microsoft Azure. ...
  • Alibaba Cloud.
30 Mar 2022

Can digital marketing be replaced by AI? ›

AI is a collaborator, not a replacement.

It also can enable real-time personalized marketing efforts at scale and leverage predictive analytics to produce actionable recommendations for future campaigns. These AI applications have important implications for both marketers and your audiences.

What clothing brands use AI? ›

From business operations to e-commerce and marketing, every area in a fashion business can benefit from AI. This is evidenced by popular fashion brands like Zara, H&M, Dior, Macy's, and Nike, who all use AI in their business models.

Which of these is an example of AI in business? ›

Artificial intelligence in business management

spam filters. smart email categorisation. voice to text features. smart personal assistants, such as Siri, Cortana and Google Now.

What is an example of how anyone can use AI to get more done today? ›

Prominent examples of AI software used in everyday life include voice assistants, image recognition for face unlock in mobile phones, and ML-based financial fraud detection.

What is the most common type of AI used today? ›

Limited Memory AI

It is the most widely-used kind of AI today. For example, autonomous vehicles use limited memory AI to observe other cars' speed and direction, helping them “read the road” and adjust as needed.

How is AI used in everyday? ›

Voice assistants, image recognition for face unlock in cellphones, and ML-based financial fraud detection are examples of AI software currently being used in everyday life. Typically, just downloading AI software from an online store and having no other devices is required.

Where is AI used the most? ›

5 industries that are using Artificial Intelligence the most
  • Healthcare. This is one area that tops the list when it comes to the extent of AI application. ...
  • Education. ...
  • Marketing. ...
  • Retail and E-commerce. ...
  • Financial markets and services. ...
  • Conclusion.
2 Dec 2019

What is the impact of AI to the world give examples? ›

Artificial intelligence can now mimic human speech, translate languages, diagnose cancers, draft legal documents and play games (and even beat human competitors). We're already in a society where systems can accomplish tasks we didn't believe would be possible in our time.

Is Siri an example of artificial intelligence? ›

Siri is Apple's personal assistant for iOS, macOS, tvOS and watchOS devices that uses voice recognition and is powered by artificial intelligence (AI).

Who is the father of AI? ›

One of the greatest innovators in the field was John McCarthy, widely recognized as the father of Artificial Intelligence due to his astounding contribution in the field of Computer Science and AI.

When was AI first used in marketing? ›

Case in point: in 2015, M&C Saatchi developed what is widely considered to be the world's first AI-powered advertisement.

Is AI the future of digital marketing? ›

Targeted marketing

Whether in virtual assistants, predictive customer segmentation or smart design for personalized customer experiences, AI is the future of digital marketing in the coming year. Marketing that targets people based on their general preferences is more valuable than traditional advertising.

How does AI help in social media marketing? ›

AI-powered technologies have helped companies dramatically increase conversions by targeting audiences with specific, relevant digital copy, and engaging visuals. This means marketers can now customize social media marketing messages on an individual level based on the user's historical preferences and behaviors.

How is machine learning changing the nature of marketing? ›

Machine learning reduces marketing expense because it requires far fewer people to be involved. It also drastically cuts communication costs, as a majority of customers can be kept updated on offers via automatic emails, scheduled social-media posts and online ads or other content.

Why is digital marketing AI important? ›

AI assists businesses in analyzing massive volumes of data and predicting each customer's purchasing behavior/decisions. This enables you to effectively conduct targeted marketing efforts to a specific audience. It also contributes to increased consumer satisfaction levels.

Can AI really play a role in creating successful marketing strategies? ›

Of all a company's functions, marketing has perhaps the most to gain from artificial intelligence. Marketing's core activities are understanding customer needs, matching them to products and services, and persuading people to buy—capabilities that AI can dramatically enhance.

What is the future of digital marketing? ›

According to statistics, the growth of the Indian e-commerce market is pushing to Rs 7 trillion by 2023 due to the pandemic and multiple lockdowns. This strongly suggests that the growth of digital marketing is on an upward trend and has positively impacted businesses as well as the lives of people.

What are the problems in AI in marketing? ›

Top 8 Significant Challenges in Marketing AI & ML Solutions
  • Access To High-Quality Data. Data is the basis for machine learning. ...
  • Balancing Accuracy. ...
  • Detecting Problems for Business. ...
  • Complexity. ...
  • Model Deployment & Operations. ...
  • Less Support. ...
  • Resource Investment. ...
  • IT Infrastructure Insufficiency.
8 Oct 2020

What are the disadvantages of AI in marketing? ›

Cons of Using AI in Marketing

For some consumers, talking to a chatbot is annoying, frustrating, and impersonal. Conversations can be extremely dry and obviously inhuman. Older generations, specifically, struggle with chatbots. Chatbots, specifically, cannot always communicate as quickly and realistically as a human.

How are apps changing the face of marketing? ›

Apps can also bring down the communication barrier between a business and its customers, resulting in more productive interactions and thereby increasing trust levels. The app will also allow you to expand the range of your business and reach out to a broader customer base.

What is the biggest challenge in AI? ›

Computation. The information technology industry encounters many challenges and constantly needs to keep updating. No other industry has developed as fast. But achieving the computing power to process the vast volumes of data necessary for building AI systems is the biggest challenge that the industry has ever faced.

What exactly AI means? ›

artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

How is AI and ML used in marketing? ›

Traditional marketing approach has limited insight into user behavior and buying patterns. Whereas, AI-based marketing utilizes detailed information on buying patterns and behavior. Thanks to these detailed ML models, the present-day marketing teams can leverage the power of AI into their businesses.

How does machine learning affect marketing? ›

Machine learning will enable the brand to build a better prediction model as it learns by weighting a set of points and learns how likely a user is to purchase something. Machine learning has already made inroads into marketing with use-cases that range from pattern recognition to predicting and forecasting trends.

How is AI used in digital marketing? ›

With AI technology, marketers can spot microtrends and even predict trends. They can then make strategic decisions about where they allocate their budgets and who they target. As a result, brands can reduce digital advertising waste and ensure that their spend delivers the best possible results.

How is AI used in advertising? ›

AI can analyze different data sources to determine the probability of a user taking a specific action, making campaigns more effective and actionable. AI can create look-alike audiences based on past campaigns to target new contacts and build the sales funnel.

How does AI help in advertising? ›

Advertisers use AI to identify and segment audiences, build ad creative, test out their ads, mitigate advertising bias, improve ad performance, and optimize their overall spend.

How is AI changing the market? ›

By helping marketers collect data, identify new customer segments, and create a more unified marketing and analytics system, AI can scale customer personalization and precision in ways that didn't exist before.

Why do we need AI in marketing? ›

AI helps marketers better understand customers and improve customer experiences. AI-powered marketing enables marketers to create a predictive customer analysis and design customer journey more targeted and individually tailored, which effectively increases ROI on each customer contact.

What is the future of artificial intelligence in marketing? ›

AI is Shaping Digital Marketing

61% of marketers say artificial intelligence is the most important aspect of their data strategy. 80% of business and tech leaders say AI already boosts productivity. Current AI technology can boost business productivity by up to 40%.

How is AI used in market research? ›

5 ways to use AI for data-driven decision making
  1. Start with a formalized data-driven decision making strategy. ...
  2. Map your datasets to your business goals. ...
  3. Collect only data that informs your business decisions. ...
  4. Determine the value of your AI and data-driven decision making framework.
2 Aug 2021

How does social media use AI for advertising? ›

AI-powered technologies have helped companies dramatically increase conversions by targeting audiences with specific, relevant digital copy, and engaging visuals. This means marketers can now customize social media marketing messages on an individual level based on the user's historical preferences and behaviors.

How does machine learning work in advertising? ›

Machine learning in advertising is a process in which technology takes information, analyzes it, and ultimately formulates a conclusion that can improve a task or a process. The insights derived from this technology can be applied to audience targeting, personalization, media buying, and more.

What is AI marketing investment? ›

Artificial intelligence (AI) marketing is the process of leveraging AI methods and tools such as data models, algorithms and machine learning to produce customer insights that marketers can use to optimize spending, customize content and personalize the customer journey.

What role does AI play in modern business specifically what role in marketing and or CRM )? ›

AI makes it convenient for business firms to understand their customers better and assess their behavior towards products and services. It also helps in making calculated decisions once you have access to all the necessary data regarding intended customers.

How are ads targeted? ›

Most targeted new media advertising currently uses second-order proxies for targets, such as tracking online or mobile web activities of consumers, associating historical web page consumer demographics with new consumer web page access, using a search word as the basis of implied interest, or contextual advertising.

Which of these is an example of AI in business? ›

Artificial intelligence in business management

spam filters. smart email categorisation. voice to text features. smart personal assistants, such as Siri, Cortana and Google Now.

What is AI give an example of where AI is used on a daily basis? ›

Artificial intelligence is widely used to provide personalised recommendations to people, based for example on their previous searches and purchases or other online behaviour. AI is hugely important in commerce: optimising products, planning inventory, logistics etc.

What are some good AI projects? ›

Top 16 Artificial Intelligence Project Ideas & Topics for...
  • Predict Housing Price.
  • Enron Investigation.
  • Stock Price Prediction. ...
  • Customer Recommendation.
  • Chatbots. ...
  • Voice-based Virtual Assistant for Windows.
  • Facial Emotion Recognition and Detection.
  • Online Assignment Plagiarism Checker.

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