Among revenue teams, AI marketing is booming.
That’s because marketing and sales teams have the most to gain from AI.
According to McKinsey, global marketing and sales teams can use AI to unlock up to $6 trillion in annual value. In fact, in the same report, 74% of marketing and sales respondents reported a revenue increase with AI adoption.
In short, marketers who adopt AI are bound to profit. So, will your company take a large share of the profitability pie? Or will your competitors be the ones to transform into the AI experts, leaving you behind?
Good news: We’re tipping the odds in your favor.
In this guide, we dive into the top use cases, benefits, and challenges of AI marketing alongside examples to help your marketing team take the big leap into AI adoption.
Ready to learn? Let’s do it ⚡
What Is AI Marketing?
AI marketing is the practice of using artificial intelligence software and strategies to enhance your marketing efforts. With AI marketing, you can make more informed decisions by analyzing massive sets of data, create marketing assets at a faster rate, and automatically personalize experiences to match your buyers’ interests, goals, and needs.
Not only is AI marketing essential if you want to enhance your buying experience — it’s also exactly what your customers want. Personalization, speed, and responsiveness are top-of-mind for today’s buyers and customers. And by implementing AI, you can make the entire customer experience more convenient and relevant for them.
Plus, what’s good for your customers is good for you too. 51% of marketers say AI is either very important or critically important to their marketing success over the next 12 months.
Types of Marketing AI
While there are endless uses and tools for marketing with AI, for the most part, AI marketing can be broken down into three main categories:
- Big data and predictive AI: With AI, you can use large sets of accurate, up-to-date data to analyze patterns of behavior, make predictions, and get better results from marketing campaigns. Done right, you can draw on first-party data (which, unlike third-party data, is data that customers share willingly with you) to better understand your customers and make even more informed decisions.
- Generative AI: This type of marketing AI is all about production. From text to images to code and beyond, generative AI allows you to produce new content for marketing quickly and accurately. ChatGPT is the most popular example of this.
- Optimizing operations: Lastly, the third main type of marketing AI consists of using AI to automate your marketing activities. This includes automatically delivering emails to contacts based on their website behavior, reducing manual work, and improving data quality
AI Marketing Use Cases
Not sure how to put AI marketing to use? Take a look at these top use cases to get some inspiration 👇
Automating Conversations with Leads and Customers
When people need information about, inspiration for, or help with your solution, your website is the first place they go to. That means, everyday, you’re getting tons of visitors who all have their own reasons for coming to your website.
With humans alone, it would be impossible to meet all of their unique needs and interests. But an AI can.
Conversational AI platformsenable you to handle all sorts of conversations at scale with minimal human input. By allowing website visitors to type in questions and responses in their own words, AI chatbots can help website visitors get their questions answered, find the resources they’re looking for, and get in touch with the right humans — all instantaneously.
This means AI chatbots are able to handle anything your audience throws at it, including questions about bananas:
Not only does Conversational AI enable you to drive more conversations on your website, but it also helps enhance those conversations. Drift’s Conversational AI leverages the capabilities of GPT to facilitate better conversations. For example, with AI suggested replies, your reps can stay engaged in live chat by using AI to quickly generate, edit, and send custom responses.
Learn more about how to set up effective Conversational AI chatbots with our book, AI for Humans.
Media Buying
Media buying can get complicated, especially when you’re focused on your bottom line. But agencies and brands can turn to AI-powered software to achieve greater return on investment (ROI) from their paid advertising campaigns.
In fact, many advertising platforms, such as Facebook ads, rely on AI to help customers get better ROI so they will want to keep on spending. Here are some ways AI can help you make the most of your advertising:
- Determine your advertising campaign strategy
- Organize your advertising account structure
- Continuously optimize and update your targeting
- Automatically adjust your bids and budget
- Create and test creatives
Content Creation and Repurposing
When it comes to content marketing, AI offers a lot of potential. Not only is AI able to lay the foundation for new content, but it can also speed up the process of repurposing content.
Say you’ve recorded a podcast with a ton of amazing sound bites. You can use the transcript of that episode as your prompt to generate a blog post with AI. Then, you can convert that blog post into different social media posts to further share the learnings from that podcast.
By leveraging AI to create and repurpose content, you can save the time it would take to write all those marketing materials from scratch. Instead, you would be able to generate a solid first draft within seconds.
But generative AI isn’t only limited to written content. More tools are coming to market that will help you repurpose your content for other formats as well (like turning long-form videos into short-form ones.) With these tools, you will easily be able to breathe new life into your existing content.
Data Analysis & Decision Making
It wouldn’t be an exaggeration to say that most businesses are drowning in a sea of data.
The best executives and business leaders make it their job to utilize this data so it doesn’t go to waste. But collecting usable insights takes a lot of time and manpower — both of which marketing teams don’t have to spare.
That’s where AI can help. Many marketing platforms offer AI-powered analytics that automatically surface actionable insights that allow you to quickly make impactful decisions, like our AI-powered engagement score which helps sales reps prioritize high-intent leads.
Of course, if you have a dedicated team of data scientists within your marketing team, you can also use machine learning programs like Python to source the exact answers that you need to boost your marketing efforts. Either way, AI-powered tools empowers you to understand your data in full so that you can implement marketing campaigns and strategies that you know will drive revenue.
Customer Journey Automation
Your customer journey is likely long and complicated, with customers having to go through multiple layers of steps. And at every step, there are a variety of actions that you will want customers to take to bring them deeper down your funnel.
Marketing AI allows you to automate parts of the customer journey so that people will convert faster. Maybe you want your buyers to attend a webinar, download a free resource, or tell you their top business challenges — you can use AI to trigger those requests at the most relevant times.
But AI marketing is about more than just triggering sequences. With AI, you can craft campaigns that intuitively adapt to your customer’s needs in real time, so that they are met with a relevant resource or answer at all times. Moreover, AI can help you discover the best audience for a new campaign or product launch based on all of your available data — which, altogether, makes for a more effective customer journey.
Market & Customer Research
Knowing is half the battle — and that makes research extremely important for marketers.
AI can pore through customer interviews, sales calls, social media content, product reviews, forums, and all sorts of other content to help come up with market trends and insights. With this information, marketers can figure out what customers really think about their brand and products in order to create campaigns that connect and convert.
Benefits of AI in Marketing
Overall, McKinsey estimates that AI can unlock $10 to $15 trillion in value — and for good reason. Here are all the major benefits that AI offers to marketing teams 👇
Increased Team Productivity and Output
Marketers are excited for what AI can do, especially when it comes to saving time and boosting efficiency. That’s because today’s AI is capable of partially handling dozens of marketing tasks — whether it involves creating content, editing videos, or surfacing ideal audience segments.
Our State of Marketing and Sales AI report found that 74% of marketers expect to use AI to automate a quarter of their tasks within the next five years, with 41% believing they will be automating over half of their tasks with AI.
Of course, all this doesn’t mean that an AI will be taking over your job. It simply means that you will be able to entrust the AI with the repetitive and tedious tasks so that you can focus entirely on the work that requires a human touch.
Better Segmentation & Personalization
As marketing AI gains more traction, marketers will need to start figuring out which jobs will be handled by the humans and which by the robots. But when it comes to audience segmentation, the robots win hands down.
That’s simply because it would take months (or even years) for a human to sift through all of your lead and customer data in order to determine the best target segment for a campaign or promotion — whereas AI can deliver the right target segment in minutes.
Not only does marketing AI provide more effective segmentation, you’re also able to scale your personalization efforts. By utilizing AI, each segment, account, and individual will automatically receive the right messaging at the right time based on their behavior and known interests. As a result, your audience will see your brand as relevant, resonant, and personal — which will make all of your campaigns more likely to succeed.
Improved Customer Experience
By using AI to enhance your marketing, you aren’t just making your team’s lives easier. The improvements that marketing AI offers also translates into a better experience for your customers.
With better segmentation and instantaneous personalization, your customers will be treated to more one-of-a-kind experiences. So, instead of being given the same messaging and offers as everyone else, all of your customers will have more personalized conversations and receive resources that are relevant to them.
In addition, with intelligent automation, you can serve your customers with even more speed and accuracy. Using AI chatbots, your website visitors can get their questions answered instantly without having to rely on a human rep, which will move them along the sales cycle faster.
In a world obsessed with convenience, even the smallest of upgrades can turn your customers into brand enthusiasts — and AI promises to delight your customers by delivering an experience that is faster, more responsive, and more personalized.
Higher Campaign ROI
Ultimately, marketers are measured by how much ROI they can generate for their company. And one of the biggest benefits of marketing AI is that it generates high returns.
Through improved team performance, campaign personalization, and customer satisfaction, marketing teams can deliver higher ROI on campaigns across a variety of channels, including organic content, paid advertising, email marketing, and more.
Challenges of Marketing AI
While the potential rewards of AI marketing are sky high, the challenges are just as big. If you’re planning on implementing AI into your marketing, watch out these for these common pitfalls:
- Securing buy-in: Some executives, managers, and team members will be all in on AI. Others, not so much. Depending on your industry, you might have to fight a big uphill battle just to try out a new AI solution or feature. So, make sure you come prepared with a solid case for implementing marketing AI. (Our book, AI for Humans, might just help.)
- Maintaining brand quality: With everyone excited about the seemingly magical powers of generative AI, content creators might end up overlooking off-brand elements, like overly enthusiastic copy or simplistic designs. As you begin to include generative AI in your marketing, make sure your review and approval processes are robust to ensure the AI you’re using isn’t negatively impacting your brand.
- Lack of human resources: AI offers a lot of potential to increase productivity, but it can’t run itself. You’ll need human marketers to set up your automated campaigns, feed prompts into your generative AI, as well as edit and implement content. If you don’t have enough talent on deck to take on new systems, you might struggle to achieve lift-off. Implementing solutions that offer hands-on professional services can help you can get started with AI quicker.
- Upskilling team members: For marketing leaders, a lack of training and education was cited as the top challenge to adopting AI. In order to fill those gaps, you might want to attend special workshops or get external consulting. Or you might be able to receive all of the education you need from the customer success department for your chosen AI marketing software. Either way, make sure that your team members are all on the same page about what your marketing AI does and how it can help them in their day-to-day.
- Privacy and data utilization: Browsers, phone manufacturers, and governments are cracking down on the use of third-party data, which means your AI will have to comply with all data regulations in the regions you operate in. On the plus side, some AI marketing tools rely solely on first-party data. Tools like Conversational Marketing store customer conversations that occur on your website so you can safely use your own data for better personalization and results.
- Prioritizing AI initiatives and solutions: Only 29% of marketing leaders feel confident in their ability to evaluate AI marketing technology — and figuring out what to implement is a major barrier to AI adoption. With so many new AI marketing tools emerging, it’s hard to choose what wil work best for your business. To stay focused, prioritize the biggest problems that your marketing department and customers are facing. Then, rely on customer case studies, testimonials, and other resources to pick the right AI tech for you.
Marketing AI Examples
It’s time to get inspired. Check out all these different manifestations of AI marketing.
1. Zenefits’ Conversational Bot
HR and payroll management platform Zenefits uses Drift to automatically answer questions from leads and customers at scale.
In this example, the Zenefits chatbot provides a concierge-like experience that allows site visitors to home in on what they need instantly. So, when the visitor asks a question about pricing, the AI chatbot is able to provide a thorough overview.
From there, the AI chatbot offers up possible next steps for the site visitor — either getting in touch with a human or the asking more questions in the chat.
As the Zenefits bot shows, AI-powered chatbots drive success by instantly satisfying your site visitors’ needs, converting more of your website traffic into leads, and giving sales reps deeper insights into each individual contact’s interests and buying behavior. Just take it from Zenefits, whose team booked 793 meetings and saw a 93% increase in their prospect-to-win rate in just six months with Drift.
2. Reid Hoffman’s Book, Impromptu: Amplifying Our Humanity Through AI
Reid Hoffman, a board member for Microsoft and partner at Greylock, was given early access to GPT-4, the latest version of the neural network machine learning model that was trained on the content of the internet.
As part of this update, GPT-4 was now able to output a maximum of 25,000 words at once — or in other words, an entire book.
He used GPT-4 to write Impromptu: Amplifying Our Humanity Through AI. The book dives into the most advanced applications of generative AI with information on how to give GPT-4 the best prompts possible.
Impromptu is a great example of marketing in action because Reid has used the book to garner attention for OpenAI’s release of GPT-4 to the public. As one of their evangelists, he’s wracked up thousands of engagements and hundreds of thousands of views on his content promoting the book and GPT-4’s capabilities.
Like Reid, ask yourself how you and your brand advocates can use generative AI to create your own lead magnets, generate buzz, and drive awareness with less effort.
3. Product Photography Generated with Flair.ai
What if you could create high-quality photos of your products with just you and your laptop?
With Flair.ai, you can generate product photography in minutes. No expensive photoshoots with backdrops, props, lighting equipment, or cameras required.
Their user-generated gallery offers plenty of attractive, on-brand examples like this one:
You’ll need to upload high-quality photos of your products (either with a white background or no background). Then, you can place those photos in any setting imaginable.
Using images generated with Flair.ai, you can produce all sorts of visual marketing campaigns like email blasts, social media posts, and promotional website banners.
4. Drift’s Website Personalization
At Drift, we’re big believers in website personalization. By leveraging first-party data from your website, you can give your buyers and customers a unique site experience with real-time personalization.
For example, we give our returning visitors a warmer welcome by greeting them with, “Nice to see you again!”
By delivering personalized messaging to your website visitors, you can make your brand more human while setting the stage for a helpful, relevant experience. Using AI, you can automatically personalize content based on all sorts of activity — such as number of sessions, time since last session, pages visited, purchase behavior, and more.
5. ACUVUE’s Advertising Partnership with Samba TV
Samba TV offers AI-powered omniscreen streaming advertising and analytics.
Samba TV users can opt in to give advertisers their viewing data with 46 million smart devices currently participating. This allows Samba TV to automatically source interest-based data to give advertisers more accurate campaign targeting and continually optimize targeting based on view time and interactions with ads.
Acuvue recently used their platform to target specific audience segments, like 25 to 40-year-old fitness enthusiasts, and experienced a 17% lift in purchase intent.
Across every format of advertising, software providers, agencies, and brands are working hard to collect and utilize as much first-party data as possible. So, consider your own media buying strategy: If you’re not partnering with platforms that use first-party data to optimize campaigns, now might be the time to start forging those relationships.
Predictions and Trends in AI Marketing
Where are artificial intelligence and marketing headed? What can we expect in the coming years? Check out these predictions for the future of AI marketing.
The Rise of Generative AI within Software Platforms
Have you noticed that many of your favorite tools are adding generative AI capabilities?
Content collaboration platform StoryChief lets you use generative AI to write content briefs. SEO optimization platform Frase offers AI for drafting blogs. And Drift’s Conversational AI is now able to automatically suggest replies that your reps can use in live chat.
And this is only the beginning. Expect to see hundreds of different marketing platforms adding AI into the mix. It’ll be up to you to figure out which features are worth your time and which are shiny objects — so, as generative AI becomes more pervasive, make sure that you’re spending your marketing dollars on AI that truly makes a difference.
Time-Saving Tools for Every Marketing Task
In addition to your favorite marketing platforms adding AI to their roster, expect to see niche SaaS solutions popping up for everything under the sun. Think Beatoven’s background music generator and Cleanvoice’s automated podcast editor.
As a marketer, you’re probably all too familiar with those little tasks that ultimately clog up your to-do list. With new AI solutions coming onto the market though, soon there will be specific tools created just to help you check off those tasks so you can focus on doing the work that impacts your bottom line.
The Use of AI for Research and Strategy
At this point in time, many marketers are using AI to automate their customer journeys and complete repetitive work, while very few are using it to set their strategy.
But, as more time passes, you can expect to see research AI get a lot more sophisticated. Already, research AI is making waves in other industries. For example, LoopPanel conducts user interviews for you, analyzes them, and tells you exactly how to improve your UX.
With AI tools, you can make researching and strategizing much easier and faster. So, that’s why you can expect to see AI tools dedicated to customer research and marketing strategy in the very near future.
Emerging Roles and Responsibilities
As marketing AI technology evolves, so do we.
In the next few years, we’re likely to see brand new roles popping up on marketing teams. Perhaps AI marketer, AI marketing manager, AI prompt writer, AI content editor, or even AI wrangler will be the job title of your new work BFF.
Of course, some AI marketing tasks won’t necessitate a whole new hire, so you’ll see changing responsibilities instead. You might see more AI-specific requirements on job listings for social media managers, marketing operations managers, and other roles, where previously AI wasn’t mentioned.
Getting Started with AI Marketing
Artificial intelligence marketing is all any marketer is talking about these days. So many tools, use cases, and capabilities are being released all of the time, that it’s hard to keep up.
We say: Don’t. While you want to stay aware of new technologies, you don’t need to become an expert in all of them.
Instead, you should leverage marketing AI to solve your biggest problems. Are you struggling with team productivity? Are you failing to use data to optimize your campaigns? Is a lack of AI-powered personalization causing leads to fall through the cracks?
Assess your gaps and opportunities to use marketing AI wisely, and save the hype for the AI gurus. Because, at the end of the day, the real key to driving more pipeline and revenue is to deliver an experience that delights your customers and addresses their needs.
Want to learn how to use AI marketing to create a five-star customer experience? Check out these great books: The State of Marketing AI Report and AI for Humans.
And if you want to use Conversational AI to proactively engage your customers with relevant, real-time conversations and personalize your website with accurate first-party data, book a demo of Drift today.
FAQs
What are the benefits of AI 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:
- Bidding on Programmatic Media Buys. ...
- Select the Right Message. ...
- Granular Personalization. ...
- Chatbots and Conversational Experiences. ...
- Predictive Marketing Analytics. ...
- Marketing Operations. ...
- Dynamic Pricing.
- Stand-alone machine learning apps.
- Integrated machine learning apps.
- Stand-alone task automation apps.
- Integrated task automation apps.
AI for SEO can assist marketers to unearth trending keywords and topics. They can gain a better understanding of customers' buying patterns and behaviors, and target markets in a fraction of the time.
What are 3 benefits of AI? ›- AI drives down the time taken to perform a task. ...
- AI enables the execution of hitherto complex tasks without significant cost outlays.
- AI operates 24x7 without interruption or breaks and has no downtime.
- AI augments the capabilities of differently abled individuals.
Ad Targeting
Have you ever searched for a product on Google, only to visit a website later on and have an ad for the product served to you in the sidebar? This is the work of ad-targeting AI. Ad-targeting AI scores the performance of each ad and uses this data to serve the ads shown to convert best.
Examples of AI priorities or use cases include: Developing smarter products and services. Making business processes and functions (such as accounts, sales and HR) more intelligent. Automating repetitive or mundane tasks to free people up for more value-adding activities.
What are the 4 types of AI with example? ›- Reactive machines. Reactive machines are AI systems that have no memory and are task specific, meaning that an input always delivers the same output. ...
- Limited memory. The next type of AI in its evolution is limited memory. ...
- Theory of mind. ...
- Self-awareness.
The 3 types of AI are artificial superintelligence, general or strong AI, narrow or weak AI.
What is an example of AI in social media marketing? ›Instagram (owned by Facebook) uses AI to identify visuals. LinkedIn uses AI to offer job recommendations, suggest people you might like to connect with, and serving you specific posts in your feed.
Which companies are using AI in marketing? ›
- Amazon.
- Starbucks.
- Alibaba.
- Nike.
- BMW.
- The Clever Content Club!
Facebook continues to gather data as users peruse, message, like, and click, which it then packages for advertisers. Behind the scenes, Facebook uses artificial intelligence to make sense of the jumbled information it gathers about our preferences, aspirations, and interpersonal ties.
What are the three 3 key elements for AI? ›To understand some of the deeper concepts, such as data mining, natural language processing, and driving software, you need to know the three basic AI concepts: machine learning, deep learning, and neural networks.
Who does AI benefit the most? ›Today, data collection and data storage have become a norm, but sectors which have maintained long-standing data banks, such as finance, healthcare, and logistics, will stand to benefit the most from an AI solution.
How small businesses can benefit from AI? ›Small businesses can use the power of AI to create personalized marketing campaigns, collecting and analyzing such customer data as behavior, preferences, and demographics to create marketing messages that resonate with customers as individuals—just as a streaming TV service can use AI algorithms to offer personalized ...
What are the benefits of AI in business? ›save time and money by automating and optimising routine processes and tasks. increase productivity and operational efficiencies. make faster business decisions based on outputs from cognitive technologies. avoid mistakes and 'human error', provided that AI systems are set up properly.
What are four benefits of business intelligence? ›Business intelligence helps organizations make smart, data-driven decisions by identifying ways to improve profits, analyzing customer behavior, comparing data with the competition, tracking performance, optimizing operations, predicting success, spotting market trends, and discovering problems.
What is an example of AI in B2B marketing? ›AI helps combine all customer data—online or offline—and creates a 360-degree view of each client. It helps you to understand customers better and more effectively communicate with them. Examples of AI-based customer data platforms (CDPs) that can be used by B2B businesses are Bloomreach, Tealium, and Segment.
Where is AI used in digital marketing? ›AI can create simulation models and personalize buying processes with the help of product recommendations based on machine learning technologies and interaction with virtual assistants. Artificial Intelligence has been used by many brands to connect with their customers.
What are the 4 AI business strategies? ›- Start with the right problems.
- Define the business outcomes.
- Collect and organize your data.
- Choose the right technology.
What are three real life example of AI? ›
Apple's Siri, Google Now, Amazon's Alexa, and Microsoft's Cortana are one of the main examples of AI in everyday life.
How is AI used in business strategy? ›AI tools can help executives avoid biases in decisions, pull insights out of oceans of data, and make strategic choices more quickly. And that's just the beginning.
What is the most commonly used type of AI today? ›Narrow AI or weak AI: This is the type of AI that exists today. It is called narrow because it is trained to perform a single or narrow task, often far faster and better than humans can.
What are the two main types of AI? ›Artificial intelligence is generally divided into two types – narrow (or weak) AI and general AI, also known as AGI or strong AI. More recently a third type has been introduced – conscious AI.
How many main types of AI are there? ›These three types are: Artificial Narrow Intelligence. Artificial General Intelligence. Artificial Super Intelligence.
Are there 4 basic AI concepts? ›Most people focus on the results of AI. For those of us who like to look under the hood, there are four foundational elements to understand: categorization, classification, machine learning, and collaborative filtering.
What are the 4 major components of AI? ›The components of AI include Machine Learning, Natural Language Processing, Computer Vision, Robotics, and Expert Systems. These components enable machines to learn, understand, and interact with the world around them in ways that were previously impossible.
What is the most basic type of AI? ›Reactive machines. The most basic types of AI systems are purely reactive, and have the ability neither to form memories nor to use past experiences to inform current decisions.
What is the future of AI in digital marketing? ›The future of AI in digital marketing is bright, with new and exciting developments expected in the coming years. As businesses continue to adopt AI-powered marketing tools, they will be better equipped to engage their customers, tailor their marketing strategies, and drive higher ROI.
What is an AI marketing tool? ›An AI marketing tool is a software or platform that uses artificial intelligence technology to create automated decisions. These decisions are based on collected data that's analyzed and interpreted together with the market trend. The goal is to develop a marketing strategy that anticipates the buyer's next move.
How much is AI used in marketing? ›
82% of Marketers Say Content Generated by AI or ML Software is Just as Good (or Better!) than Human-Generated Content. 63% of Marketers Use AI Tools for Email Marketing. Notable Increase in Searches for AI and ChatGTP Over Recent Times. AI Could Take the Jobs of as Many as One Billion People.
How does Netflix use AI marketing? ›Netflix's AI considers your viewing habits and hobbies to provide Netflix recommendations. Users can take charge of their multimedia streaming and customize their interactions owing to the system's ability to compile and recommend content based on their preferences.
How AI is used in targeted marketing? ›Segmentation. As a marketing approach, target market segmentation divides customers into groups or “segments” to make marketing more successful and efficient. AI-driven segmentation is a smarter and more accurate technique to separate target consumers into groups since it sees them as more than just a 'target'.
How will AI impact marketing? ›Product recommendations. Artificial intelligence with the use of Machine Learning, will also help to improve product recommendations online. With the right AI tools, marketers will have the ability to make timely and improved predictions on what products the customers will buy.
How is AI used in target marketing? ›Segmentation. As a marketing approach, target market segmentation divides customers into groups or “segments” to make marketing more successful and efficient. AI-driven segmentation is a smarter and more accurate technique to separate target consumers into groups since it sees them as more than just a 'target'.
How does AI help in sales and marketing? ›AI in sales uses artificial intelligence to simplify and optimize sales processes. This is done using software tools that house trainable algorithms that process large datasets. AI tools are designed to help teams save time and sell more efficiently. Performing specific tasks and decision-making functions.
How does Uber use AI? ›Uber uses convolutional neural networks in many domains that could potentially involve coordinate transforms, from designing self-driving vehicles to automating street sign detection to build maps and maximizing the efficiency of spatial movements in the Uber Marketplace.
How is AI used in social media marketing? ›Social Media Ad Management
AI-powered tools can help analyze hundreds or thousands of ad targeting and budget variations, find and segment audiences, make ad creative, test ads and improve speed and performance in real time to get the best results.
- Use smart segmentation to identify the target audience.
- Establish a relationship with customers on their terms.
- Deliver tailored content to each segment of the target group.
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 will AI benefit customers? ›
The Benefits of AI in Customer Service
Automation: It can automate tasks such as basic inquiries. This enables businesses to answer common customer inquiries which can help to improve the overall customer experience.
One of the primary benefits of AI in marketing and advertising is its ability to provide personalized experiences to customers. With the use of machine learning algorithms, businesses can analyze customer data and tailor their marketing campaigns to specific audiences.
Why use AI in digital marketing? ›Artificial intelligence is increasing its impact on content marketing as well. Especially audience targeting is getting more straightforward with AI in digital marketing. By using such insights, marketers can reach users more efficiently, attract more potential customers, and realize digital transformations.