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Top Benefits & Uses Of AI In Digital Marketing

Artificial intelligence, or AI, is already changing the face of marketing as we know it. AI technology can improve and accelerate a wide range of marketing processes, increasing customer experiences and boosting conversions.

If you work in corporate marketing, there’s a strong chance you already have an AI-powered solution in your MarTech stack. However, many marketers are still unaware of the advantages of AI and machine learning over conventional “non-intelligent” marketing tools.

If you haven’t totally jumped on board yet or are just contemplating putting your toes in the water, you’re not alone. Investing in new technology is a significant investment, and it may be scary when it is supported by complicated ideas such as machine learning algorithms.

What Is Artificial Intelligence In Digital Marketing?

AI allows marketers to customize their messaging on an individual level rather than the broad target groups they previously depended on. This technology predicts consumer behaviour based on information gleaned from prior brand encounters.

Quick Takeaways:

  • By examining individual profiles, AI can hyper-personalize the client experience.
  • AI accelerates the creation of specific kinds and forms of information.
  • Artificial intelligence-powered software can select what material to develop and when to release it.
  • AI can process massive amounts of data and make accurate predictions based on patterns that emerge from it.
  • AI is capable of predicting client behaviour as well as identifying and nurturing the most valuable prospects.

1. Improved Personalization & Recommendations

Consumers’ responses to and interactions with marketing messages areArtificial Intelligence Digital Marketing Ottawa evolving. Traditional marketing strategies, such as media advertising and direct mail, are no longer as successful as they once were.

One reason for this is that today’s customers demand companies to personalize messaging based on their location, demographics, or hobbies. Many people will not interact with, or may even disregard, non-personalized marketing.

AI allows marketers to customize their messaging on an individual level rather than the broad target groups they previously depended on.

This technology predicts consumer behaviour based on information gleaned from prior brand encounters. This implies that marketers may provide content and marketing messages at the optimal moments to convert leads into sales.

Most people are already aware of the personalized suggestions that appear when they visit a website like Amazon or Netflix.

These recommendation algorithms have gotten more sophisticated over the years and maybe astonishingly accurate, especially for users who have had an account for many years, allowing the site to accumulate a large amount of data. 

It may use this information to provide product suggestions based on your interests, previous purchases, and other people who bought the same goods as you have purchased.

2. Dynamic Pricing

Discounts are a certain method to increase sales, but some clients will purchase with a lower discount or no price at all.

AI may be used to dynamically adjust product prices based on demand, availability, consumer profiles, and other criteria to optimize sales and profitability.

3. Customer Service Chatbots

Facebook Messenger, WhatsApp, and other messaging applications have become popular and handy ways for consumers to contact businesses, but keeping the accounts operated by customer support representatives at all times may be costly.

Some firms are already adopting chatbots to deal with typical customer inquiries and deliver rapid answers at any time of day or night in order to decrease effort and provide a faster response to consumers. Chatbots may be trained to respond to commonly asked questions with predefined responses and to route the discussion to a human agent if the subject is too complicated. This implies that customer support time is lowered and the burden is reduced, freeing up employees to handle discussions that need a more personalized response.

4. Search Engine Optimization

Search algorithms are constantly improving in every area, from tiny database product searches on e-commerce sites to search engines used by millions of people every day.

AI is required to comprehend complicated voice patterns and detect meaning from spoken search requests, which vary greatly from standard written searches.

Marketers may also employ AI to tailor their content for voice search, enhancing SEO and site traffic as we get closer to a voice-controlled digital future.

5. PPC Ad Optimization

AI ad optimization is also being used on social media platforms like Instagram. Algorithms examine the accounts that a certain user follows and display the adverts that are most likely to be relevant to this person. This results in a better user experience and a higher ROI for the advertiser since fewer advertisements are displayed to individuals who aren’t interested in them.

6. Content Creation and Curation at Scale

AI can help you accelerate and improve your content marketing in a variety of ways. Automated content software can now produce news articles and reports in seconds that a human writer would take hours or days to make.