The world of marketing is constantly evolving with emerging trends and technology. AI marketing is one such technology that has caused a major shift in the industry. It has unveiled a new realm of possibilities. Now marketers can use AI marketing to analyze vast volumes of data, marketing automation processes, and launch personalized campaigns. 

A lot is possible with AI marketing, which was previously thought impossible. Ten years back which marketer thought they would be able to deliver tailored experiences? No one but today it’s possible with the power of AI marketing. 

According to a study, 71.1% of people believe that AI marketing would perform better than humans. Thus, AI in marketing is also seen as a threat to people who are working in the sector. However, AI marketing doesn’t aim to replace humans but to ease their work and enhance efforts. AI marketing still has many issues to resolve before it fits perfectly in the marketing world. 

Here, in this blog, we will give you detailed information about AI marketing, how to use AI for marketing, AI marketing strategies, and Artificial Intelligence advertising examples. 

What is AI marketing? 

AI marketing refers to Artificial Intelligence in marketing. It is the process of using AI methods and tools like data models, algorithms, and machine learning in marketing. AI marketing means using Artificial Intelligence to create better social media content, optimize spending, gather insights, and personalize the customer journey. 

AI marketing can help marketers understand customers better by analyzing their behavior. AI for marketing can aid marketers in targeting customers based on their interactions. For example, when a customer opens an email or browses a certain product on your website. Their entire buying behavior is taken into consideration to target them with relevant messaging. 

There are many AI marketing tools and software that help you set automated responses for various customer actions. AI marketing can be used in different ways to ease the work of marketers and enhance customer experience. 

AI marketing statistics 

In this section, we will give some of the best AI marketing statistics that every marketer should know. It will also help you understand the impact of Artificial Intelligence in the marketing sector:

How is Artificial Intelligence used in marketing? 

AI marketing is gaining importance in the industry due to the benefits it provides to marketers. According to a report, there was a 27% increase in AI marketing or machine learning implementation in companies’ marketing teams. 

AI marketing helps process large sets of data and find insights to conduct targeted advertising. Now, we will tell you in what ways AI marketing solutions can help you in marketing. 

1. Real-time personalization 

AI marketing can help you personalize content and offer a better customer experience. AI based marketing can help you change marketing messages based on the online behavior of customers. For example, a message would be sent out to a customer depending on whether they filled out a form or not.

AI marketing helps you create dynamic content that changes based on the user’s name, attributes, purchase behavior, etc. You can change a customer’s experience with a personalized web page, email, or message to fit their needs. It can help you convince customers effectively and encourage them to take action. 

2. Data Analytics 

One of the major uses of AI marketing is data analytics. Marketing AI can help you collect large amounts of data from various marketing campaigns and programs that otherwise would have been done manually. 

AI can help predict the results of marketing campaigns using past data. It can aid you in analyzing data such as engagement metrics, email responses, time spent on a page, and so on. This information will help you strategize better and create future marketing campaigns accordingly. 

3. Content generation 

AI can help you create short and long-form content for marketing campaigns. You can use it to write social media posts, video captions, web copy, email subject lines, and more. AI can also write blogs on diverse topics. However, most AI-generated blogs are not always ready to post as their content is a bit repetitive and not up to date. Thus, it’s important to review and alter it as per your requirements. 

Many marketers use generative AI to just write portions of blogs but not the entire blog. Also, they need to check and amend the AI-generated content to make it sound like a human. There are many AI-powered content assistants that you can use to create marketing messages faster. 

4. Media buying 

AI marketing is used in media buying to help marketers predict the most effective ad and media placements. This way they can reach out to their target audience easily and maximize the effectiveness of their marketing strategies. 

ProMarketer.AI by WebMaxy is a software that can provide you with ad recommendations. You can know during what time of the day your ads are getting the maximum responses and conversions. This way you can improve your ad performance and reduce ad spending significantly. 

5. AI chatbots 

As you know a customer support representative can’t be available 24/7. AI chatbots are the best way to interact and reply to customers round the clock. Chatbots are created with natural language processing (NLP) and can help provide quick answers to customers. 

You can train chatbots to answer questions like humans. You can also train it to answer questions outside the pre-programmed path. It can help you create tailored experiences for customers and ensure they get a response. 

6. Automated email campaigns 

AI marketing can help you create engaging email content and deliver emails at the right time. You can create email automation campaigns and set customer behavior triggers that will initiate them. 

AI marketing campaigns also provide accurate and detailed marketing insights. This way marketers don’t need to spend time researching and analyzing. They can focus on strategy to send out successful email marketing campaigns. 

7. Predictive analytics 

Predictive analytics uses machine learning to analyze customer data and present detailed insights. It can help marketers predict the outcome of marketing campaigns like customers who have a high chance of converting. They can find out the potential sales number and ROI. 

The accuracy of predictive analytics depends on the quality of the data being used. Marketers can use information from AI marketing analytics to create better marketing campaigns. 

8. Search engine optimization 

AI marketing can help optimize content for search engines. Artificial Intelligence algorithms can help identify keywords that can improve your search engine results ranking. You can analyze website traffic and learn what brings the audience to your website. This information will help you produce content accordingly and enhance website performance. 

9. Voice search optimization 

Nowadays, people use voice assistants like Siri and Alexa to make searches. Thus, it has become more important than ever to do voice search optimization. AI marketing technology can help businesses create content that’s voice search optimized. It will help to expand their reach and respond to customers who use voice search. 

Types of AI marketing solutions 

AI marketing can help marketers connect with customers effortlessly with relevant messages. Below, we have given detailed information about the components of AI marketing that make up the majority of AI marketing solutions. 

Machine learning 

Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on utilizing data and algorithms to learn the same way humans do, gradually achieving a higher accuracy. It can help analyze marketing information and improve marketing campaigns automatically with experience. 

AI marketing solutions leverage machine learning to analyze new information and use the relevant historical data to know what has worked and what hasn’t worked. This information can help marketers improve their marketing campaigns significantly. 

Big data and analytics 

Big data and analytics in AI marketing can help marketers generate and process large volumes of data to understand their efforts and distribute them precisely across channels. However, this has led to over-extraction of data as marketers struggle to determine which data sets they should be collecting and focusing on. 

AI marketing solutions can help to cut through the crap and filter out the essential data. You can analyze the crucial data and find out ways to improve your future digital marketing campaigns. 

AI marketing platforms and tools 

AI marketing solutions provide digital marketers with a platform for managing large amounts of data collected. It also has the ability to draw meaningful insights about the target audience. 

You can make data-informed decisions and take your marketing to the next level. By knowing how each customer is responding to your marketing, you can get a clear view of if they’re interested or not. This way you can direct your marketing efforts towards people who can possibly convert. 

AI marketing: Pros and Cons 

AI marketing has many use cases that we discussed above. In this section, we will talk about AI marketing advantages and disadvantages for a business. 

AI marketing advantages 

1. Increased ROI 

Digital marketers can use AI marketing to gain valuable data insights about their marketing campaigns. This can help marketers to make the right decision and allocate budget across the most effective marketing channels. They can improve their marketing campaigns in real time and generate a higher ROI. 

2. Better customer relationships 

AI marketing can help you offer personalized experiences to customers. You can send relevant messages to them based on their recent activity or buying journey stage. You can find out which customers are inactive and send messages to re-engage them before they slip away. 

AI marketing can help you deepen customer relationships by always targeting them with relevant messages. You can make customers feel valued and encourage them to stay with your brand for a long time. 

3. Improved marketing measurement

Keeping up with all digital marketing campaign data and reports is an overwhelming task, especially in a big company. AI marketing can help to collect, manage, and unify all marketing campaign data in one dashboard. You can attribute the conversions and revenue contribution to the right marketing campaigns.

4. Make data-driven decisions faster 

AI marketing has improved the accuracy and efficiency of marketing campaigns. Marketers no longer need to wait for the end campaign reports to make decisions. They can use real-time analytics to decide on the effectiveness of a marketing campaign. They can pause the marketing campaigns that aren’t performing well and cut down on needless costs. 

AI marketing disadvantages 

1. Low-quality content 

AI-generated content can have misrepresented facts and a bit of repetitive content. The quality of content generated by AI depends on the data it has been provided. If you’re producing content for your brand from AI then it might have a different tone than that of your brand. 

Sometimes, AI will not include the information that you want in your content. You also need to provide AI with a lot of information for generating the content as you want. You even require a human to make edits in the end to avoid any mistakes and misrepresented information. 

2. Privacy 

People have started to value privacy over the last few years. To provide personalized experiences to customers some AI techniques use customer’s cookies and online user behavior. However, as the need for privacy is increasing there are many rules and regulations constantly being made. Thus, if you’re planning to use AI software for marketing, ensure it complies with the privacy laws like GDPR. 

3. Difficult to measure non-quantifiable KPIs 

AI marketing solutions can provide you with information about key metrics. However, you can’t measure the non-quantifiable metrics of your business with an AI. For example, you can’t know the increased brand awareness, improvement in customer experience, and so on. 

4. Deployment process 

AI marketing is a new tool in the toolbox of digital marketers. Therefore, the best practices and definitive guide haven’t been established to guide new marketers for its deployment and implementation. Also, AI marketing tools and software are new and can be expensive for individuals and startups.  

AI marketing examples 

AI marketing solutions have applications in many different industries such as entertainment, government, healthcare, retail, financial services, and more. Now, we will give you some of the best AI marketing examples for better understanding. 

1. Bidding on the right media places

A common problem for marketers is deciding the right places to put advertisements and messaging. Digital marketing teams often do research to understand user preferences and to find out the appropriate places to put advertisements. However, these teams don’t constantly change the bidding and placements in real time based on their performance. 

Programmatic platforms use machine learning to bid on ad spaces that are getting good customer responses in real-time. The bid is informed through real-time data and analytics. AI marketing has enabled digital marketers to focus on the right channels at a cost-effective price. 

ProMarketer.AI can help you automate and optimize ad performance in real-time. Learn which ads are performing the best and worst. Auto-pause ad campaigns that aren’t delivering the expected results. Learn during which hours of the day and week your ads generate the highest conversions. Reduce your ad spending by bidding on the right marketing channels at the correct time. 

Schedule a demo with our experts to learn more about ProMarketer.AI and its features, or email us at info@webmaxy.co.

2. Send the right message 

As you know, each customer is different and so are their needs, wants, interests, & expectations. Thus, you can’t win them just by sending the same message. AI marketing and machine learning can help you learn about customers’ behavior and how they respond to marketing messages. They can create complete user profiles and help you understand customers better. You can target customers with different messages based on what will best resonate with them. 

For example, Netflix leverages machine learning to understand customers better. They find out which genres a particular customer is interested in and recommend movies & series accordingly. Netflix uses AI marketing and algorithms to determine the type of movies and series that will entice users the most. This way they’re able to engage customers consistently and capture paid subscriptions. 

3. Personalization 

In the present time, the expectations of users are higher than ever with so many choices available to them. Therefore, it has become important for marketers to provide the best experiences to customers. They need to create personalized marketing messages based on interests, recent purchases, and demographic data of customers. AI marketing helps marketers to understand customers at an individual level. This way they can create tailored experiences for customers. 

For example, Jio Saavn uses AI marketing to suggest songs to customers based on what they have previously listened to. Artificial intelligence marketing strategy helps them to understand the genres that an individual likes and create customized playlists. This has helped the brand to become the first choice of customers. 

4. Chatbots 

AI marketing chatbots can help brands give quick replies to customers at all times. They can leverage the past data of questions and offer personalized results. This way customer support teams also get time to answer complicated questions and provide resolutions. 

For example, Zomato provides chatbot support to answer FAQs of customers. This way they’re able to engage customers effectively and only the complicated queries are sent to the support team. 

5. Predictive marketing analytics 

For marketers to collect and manage large amounts of data coming from different sources is difficult. AI marketing solutions can help them draw crucial insights and understand customers effectively. 

Predictive marketing analytics uses machine learning, algorithms, and data models to predict the future behavior of customers. This can help marketers target customers based on their interests and push them to the end of the funnel.

For example, Amazon uses predictive analytics to make product recommendations to customers based on their past purchases. This way they can enhance customer experience and encourage them to make more purchases. 

How to use AI in marketing? 

AI marketing can help digital marketers in many ways that we discussed above. It can help to enhance customer experience and reduce marketing operations cost. Here, we have given a detailed guide to help you with AI marketing implementation. 

1. Set up goals 

Before opting for an AI marketing tool, it’s important to set clear goals and objectives that you aim to achieve through it. Determine ways in which AI marketing can help you in marketing operations. For example, unifying campaign data and providing detailed marketing insights. Establish KPIs to know how AI-enabled marketing campaigns are performing for your business. You can also set qualitative goals like launched campaigns faster, improved customer experience, and so on. 

2. Data privacy 

Make sure that the AI marketing platform you’re selecting offers personalization by using acceptable data. It is not exceeding the privacy standards just to provide personalized experiences to customers. Ensure it complies with data privacy standards established for your industry. 

3. Data requirement 

Digital marketers need to have a large amount of data to get started with AI marketing. This data is used to train the AI marketing tool to understand customer preferences, purchase behavior, and data trends. This data can be extracted from CRM, marketing campaign reports, and websites. They can also use second and third-party data to enrich the AI with adequate marketing data for optimal performance. 

4. Data quality 

AI marketing solutions need accurate and error-free data to create precise and effective reports. If your data is not correct and up to the mark then AI marketing will not benefit you. You must coordinate with your data management team to ensure your data is complete, consistent, relevant, and accurate. 

5. Integrated marketing strategy 

AI marketing is used by marketers mostly in conjunction with their existing marketing strategy. You can opt for a stand-alone AI marketing tactic but it won’t deliver you results immediately. 

For AI marketing, you need to find the gaps that it can fit into perfectly. It’s a long trial-and-error process. You can’t just quit your existing marketing strategy and move to AI marketing completely. You must gradually understand how AI marketing works for you and transition into it. 

6. Choosing an AI marketing platform 

Selecting the right AI marketing platform is a tough decision. Digital marketers should conduct comprehensive research and determine ways in which AI marketing can help their existing processes. Once they have outlined the problem areas, they should try to find AI marketing solutions to help resolve them. 

For example, creating social media posts and posting them online takes a lot of time. Then, the marketing team should look for an AI marketing tool that helps them create social media posts and content. This will help them save time which they can utilize to focus on building a data-driven marketing strategy. 

Also, marketers should try to take a demo and free trial of the AI marketing tool they’re planning to opt for. This will give them a better idea if a particular AI marketing tool is right for their business or not. 

AI marketing trends 

AI marketing is growing in popularity day by day. Below we have presented some statistics for your reference:

Teams will adapt and scale with AI marketing 

Marketing teams will adapt AI marketing solutions to drive better results and ROI. They will only invest in the marketing channels that drive results. This will help them allocate the marketing budgets appropriately and save costs which they can invest in scaling teams. 

Companies who don’t use AI will be replaced by the ones who do 

AI marketing helps increase business efficiency and drive revenue growth. Many companies have started adopting AI marketing to improve their marketing performance. AI marketing can help them get a unified view of data and detailed marketing insights. Thus, companies who use AI marketing will surpass those who don’t. 

AI marketing: The Conclusion

AI marketing software and tools have brought a revolution in marketing ways. Marketers no longer need to perform repetitive and time-consuming processes. They don’t need to engage with raw marketing data from multiple sources to get data-driven insights. 

WebMaxy eGrowth is an AI-driven marketing platform that helps you automate marketing processes. You get accurate and meaningful insights that can help you make data-driven decisions. 

There are many features in WebMaxy eGrowth such as a KPI dashboard, marketing automation, audience segmentation, marketing insights, WhatsApp commerce, SMS campaigns, email marketing, social campaigns, help desk, customer loyalty, and more. 
Learn more about WebMaxy eGrowth and its features from our experts on call, or email at info@webmaxy.co.

AI marketing FAQs

What is AI marketing?

AI marketing refers to the process of using AI methods and tools such as machine learning, algorithms, data models, etc. to provide customer insights that marketers can use to optimize marketing campaigns. WebMaxy eGrowth provides you with AI-driven marketing insights that you can use to create personalized customer journeys.

How to use AI for marketing?

Artificial intelligence can be used in marketing to perform several tasks that otherwise would have taken a long time. Below we have mentioned how AI can be used in marketing:

– Real-time personalization 

– Content generation

– Automated email campaigns

– Data analytics 

– Predictive analytics

How is AI changing marketing?

AI marketing is helping digital marketers understand customer behavior and future trends. They can use this information to create social media content and marketing campaigns. This way they can offer a personalized experience to customers and engage them effectively. AI marketing helps to optimize customer journeys and ease the work of marketers.

How to implement AI in digital marketing?

AI marketing can be implemented in digital marketing in different ways. You can use AI to generate social media and email content. You can automate email campaigns and reach out to customers based on their actions. The AI-driven data analytics can help you understand the effectiveness of marketing tactics. You can optimize your marketing strategy accordingly and boost impact.

Why are chatbots a great tool for strategically using marketing automation and AI?

Chatbots are a great tool to engage with customers 24/7. You can automate responses to FAQs and resolve customer queries quickly. Chatbots can engage with multiple customers at the same time and handle a lot of queries. This can help you enhance customer experience and make them stay with your brand for a long time.