Guide to AI in Digital Marketing - The Ultimate Guide and Actionable Tips

Artificial Intelligence has become a significant topic for discussion in every industry. The digital marketing field is no exception.

Artificial Intelligence has become a significant topic for discussion in every industry. The digital marketing field is no exception. AI is continuously reshaping the digital marketing landscape. But how? Yes, we understand your concern and to help numerous business owners understand the role of AI tools for digital marketing, we are here with this all-inclusive post.

This blog by our experts will take you on an explorative journey of what is AI in digital marketing and how it is being used. So, start reading below to uncover these details.

What is AI in Digital Marketing?

AI in digital marketing refers to the use of various AI tools to plan, execute and optimise a brand’s digital marketing efforts. The AI tools for digital marketing aim to enhance a company’s marketing efficiency, performance and cost savings.

How to Use AI in Digital Marketing?

Several examples of AI in digital marketing highlight its increasing utilisation in this field. But what are the right ways to use it? Continue reading to know.

Personalised Content Recommendations

The present digital maze presents your target audience with numerous options. However, content is your key to stand out in this maze among your competitors. You must post relatable and engaging content on your website and other platforms to attract your target audience. It is where AI tools for digital marketing can help you. You can use these tools for personalised content recommendations. They will assist you with brainstorming ideas that resonate with your products and brand value. These tools will recommend the most effective ideas that will accurately present your products and services while connecting with your audience.

Assistance with Lead Scoring

One of the best examples of AI in digital marketing is predictive analytics of lead scoring. So, what is lead scoring? It refers to a method that involves ranking prospects on a scale representing the perceived value of each lead. Traditionally, digital marketers used the following criteria for lead scoring-

• Company size
• Demographic information
• Job title
• Position in the marketing funnel
• Engagement level

AI tools help with predictive analytics in lead scoring. They use historical data to forecast potential scenarios. These tools are empowered to integrate and analyse data from various sources like social media, website interactions, CRM systems and email engagements.

Email Marketing

Another way in this guide on how to use AI in digital marketing is for dynamic email marketing. Marketers significantly depend on email marketing to enhance the sales of a business. This is because email marketing offers a significant amount of leads. However, it can be tricky. It becomes much more challenging when you lack the required expertise and skills. It is where the AI tools come to your rescue. They optimise the email marketing campaigns for businesses by utilising machine learning. Using this, they draft the right messages to send to the right audience at the right time. The AI tools analyse the performance of past email campaigns to make changes to the new ones. They also aggregate email analytics to offer valuable insights into the campaign performance.

Chatbots

Chatbots have become an essential component of every business today. By enhancing customer support, these bots help businesses run their operations smoothly while offering the best to their customers. However, traditional chatbots have limited capabilities. To combat these limitations, businesses are making a swift shift to conversational AI chatbots. These chatbots are not rule-based, unlike the traditional ones. The traditional chatbots rely on preset rules and responses. On the other hand, AI-powered chatbots are powered by technologies like natural language processing and machine learning. As a result, they have the capabilities to learn, understand and respond to human language.

Social Media Sentiment Analysis

Tracking the sentiments of your target audience on social media can be challenging. These vast platforms help businesses in numerous ways and have been a significant part of good marketing practices. Since the entry of AI in digital marketing, the role and use of these platforms for marketing have evolved more than ever before. Algorithms by the AI tools enable brands to understand their customers’ sentiments and preferences better. They offer a detailed insight into the moods and public perception by identifying real-time trends. The AI tools analyse social media data to provide actionable insights into consumer behaviours.

Visual Search

Visual search and image recognition are other examples of AI in digital marketing. You must have noticed how you can search anything online nowadays with its image. The AI tools empower visual search and image recognition to offer a better online shopping experience to customers. These features allow them to upload a picture of the thing they are looking for. The results will show exactly the same product or the most similar options to it. This makes it easier for customers to find and buy exactly what they want.

Read Also - How to Use AI SEO to Improve Your Organic Traffic

In the End

Reading the above uses must have got you excited about using AI tools for digital marketing. However, it is crucial to understand that you need expert skills and knowledge to use these tools for better digital marketing results. That is why you need DO Communication experts. Our marketers perfectly know how to use AI in digital marketing. We integrate the data from these tools to constantly make changes to our plans and strategies for better performance and results of marketing campaigns.