Best 5 Practical Examples Of How AI is Changing Digital Marketing For Businesses

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Written By Ishika Chauhan

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Artificial Intelligence (AI), which allows businesses and marketers to analyze large sets of consumer data, without any human intervention, has had a tremendous impact on digital marketing.

Digital marketers must leverage the digital capabilities and AI of AI to reach, retain, and engage customers as consumer market trends change.

Research shows that digital marketers spend about 15% of their departmental budgets on AI-related tools. While these monetary efforts are growing at incredible rates, more marketers still believe they cannot accurately measure the impact these AI tools make on their direct business.

Businesses can use AI to gain a better understanding about their customer base and improve engagement with them through meaningful content.

The global digital marketing software industry is expected to grow to over $67.53billion in 2022, up from $56.77billion in 2021. Here's a look at five of the most successful use cases for AI in digital marketing.

Profiling of The Consumer and Target Audience

Machine learning and Artificial Intelligence have enabled marketers to create detailed consumer profiles that allow them to target these markets with their messaging.

Companies no longer need to have a vague or fictional customer list. They can now find out who their customers are and what they are looking for in marketing strategies.

AI allows businesses to reach market segments they didn't even know existed, by understanding their target audiences.

Marketers no longer need to target a single audience with their marketing messages. Instead, they can now create strategies using realistic data and KPI metrics. This will allow them to produce more tangible results.

Digital Content Marketing: Improved

Digital marketers spend hours profiling clients, both current and potential, through market-related research that helps them better understand their needs and wants.

Some businesses have been able to understand macro-level trends better thanks to the rapid growth and widespread usage of social networking, both on the consumer side as well as for their business marketing efforts.
AI allows marketers to be more connected to consumer trends and consumer needs. Digital tools can track, analyze, and report metrics that can directly be included in digital marketing strategies.

These metrics make it easier to create content that is relevant to consumer demand. This makes content delivery more precise and can be targeted to specific audiences. Companies don't have to update their content constantly to meet market needs. Instead, they can use current trends to promote their products and services.

AI-Powered Customer Services

Many realized that customer service is still a critical link between the business world and their clients after the pandemic.

Chatbots and AI-driven customer services tools have become increasingly popular on social media channels and business websites in recent years.

Chatbots are now able to be trained using deep machine learning and AI to communicate with customers either verbally or auditory.

Chatbot software allows companies to offer real-time customer solutions as well as on-the-go conversation. Chatbots are able to determine the best response and resolve customer queries in a timely and effective manner.

Enhanced Social Media Presence

Companies can bridge the digital divide with social media, which gives them insight from customers into how they perceive a company's brand and products.

Companies can monitor and compile insights based on conversations and comments made on social media as AI integrates with digital marketing strategies and social media.

Companies can now track online and social media conversations about their brand. Marketers can quickly intervene to drive messaging efforts in the desired direction, regardless of whether the PR conversation is positive or negative.

There is an inordinate amount of data that can be accessed. With AI, marketers can do extensive market research to create content messaging that targets customers and continues trends.

Building More Accurate Predictive Models

It's now possible for AI/machine learning to deeply dive into customer-oriented conversations. This will lead to more targeted ads, and marketing efforts. Marketers can now build predictive models that predict what customers will find important or interesting.

This helps companies improve their relationship management and makes it easier to see how digital content will be integrated into their customers' online experience.

AI can replace outdated predictive models by combining historical data with current insights. This will allow AI to create measurable indicators that can directly be integrated into the digital marketing strategy.

Looking Forward

We already see many important and innovative ways AI has improved digital marketing. It helps marketers understand how these tools can enhance customers' online experience. Additionally, it allows businesses and companies to establish more meaningful relationships with their consumers.

AI can now be used to power an analytical system that evaluates the online brand identity. This will allow marketers to create more precise and customer-targeted marketing strategies.

There are many uses of AI in digital marketing, online public relations, customer service, content marketing, and digital marketing. We can only hope that AI will be more widely adopted in other industries and fields in the future.

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