AI in Marketing


AI in Marketing: 5 Examples You Should Know

AI in Marketing

Last Updated on 1 year by admin

5 Examples of AI in Marketing You Should Know

Artificial intelligence is the prior tool that helps businesses in all domains to get valuable insights into customers, understand them better, and increase overall companies’ profits in the long run. But how do implement AI solutions properly and get better sales results? In this article, we have collected the top 5 examples of AI in marketing that can significantly improve your marketing KPIs.

  • Predictive Analytics

This is now one of the most promising and efficient tools for understanding customers’ preferences and future trends. Using predictive analytics like marketing AI solutions from InData Labs allows not only getting real-time user behavior patterns, preferences and queries. With robust AI-driven tools like these, companies can get timely analysis of the gained customers’ data, structure it upon certain consumer segments, and personalize offers, as campaigns and upsells, increasing overall company profits.

  • ML-Driven Search Engines

Speaking about AI marketing examples, search engine analysis is certainly one of the best among them. 7 years ago, in the distant 2015, Google started to use an ML tool named RankBrain to analyze their queries in the search line and collect the needed marketing data. 

Since that time, this technology has been significantly improved by Google data science specialists. Now it allows not only precise catching of users’ interest but also quick structuring into numerous customer segments, business domains, product lines, as well as real-time statistics gathering. All together it helps to predict marketing and buying trends even before they become evidential. Companies that collaborate with Google on these data have an undoubtful advantage over the competitors, as they are always 1 step ahead of them.

  • Use of Chatbots

Several years ago, when chatbots has only come to the marketing scene, they were neglected and ignored by the predominant amount of customers due to their poor language recognition abilities. People didn’t want to use them as they simply didn’t understand even simple requests and couldn’t help to manage them.

Now, due to a significant breakthrough in NLP (natural language processing) technology, chatbots have come to a new level of request recognition and analysis. Today, they help to solve various complex requests and are able to understand even poorly formulated sentences. Chatbots are quickly gaining popularity among customers worldwide, and experts from Gartner even predict that in 5 years they will become the main customer service online channel for a predominant number of businesses.

  • Content Created by AI

Writing good marketing content is always a time- and resource-consuming task for marketing departments, as it includes several stages like initial research, the writing itself, proofreading, and SEO optimization. Numerous companies worldwide still use this strategy, but some are already implementing powerful AI apps which help to fasten this process. 

Appearing AI tools for content creation has become a game-changing event in the world of marketing, as surprisingly, robots quite often can do it even better than humans. For example, experts say, that ad campaigns written by AI tools got a higher engagement rate, than those written by humans. Similar solutions are already used for articles, financial reports, and news copywriting. Of course, AI-driven writing is still inferior to humans in writing features and opinion articles. But this technology never stops improving itself, so it will be used more and more by marketing specialists in the future. 

  • Speech Recognition Tools

And last, but not least among AI marketing examples are home assistants like Google and Alexa. These powerful marketing tools not only simplify the lives of millions of customers worldwide helping them to find the needed info and manage their household devices. They have an in-built AI app that analyses users’ requests with the help of NLP technology, then structures them, and gets valuable insights on future trends in each industry and niche. Thus, numerous businesses worldwide can be on the pulse of the smallest changes in customers’ interest, tune their orders, and quickly increase their profits.

Of course, that’s not all. There are many other examples of the use of AI in marketing. For example, dynamic pricing technology: here an AI-driven solution helps to tune the amount of discount that should be offered to each category of consumers. These are also AI-powered website design tools, which can not only include brand peculiarities in the site creation but also make it user- and SEO- friendly with minimal human engagement. 

In the near future, this list will certainly be growing with even more sophisticated and useful artificial intelligence solutions, as technology never stops going ahead. Stay tuned with us to keep in touch with the novelties in this fast-changing AI solutions market.

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