In a society where digitalisation is part of everyday life and where our digital footprint is increasingly larger, Artificial Intelligence is here to make use of the huge amount of data we generate. Among the fields in which this technology can contribute, we are going to see what it consists of and what applications there are of artificial intelligence in marketing.
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Marketing and Artificial Intelligence
The use of artificial intelligence in marketing is done to automate decisions bas on collect data, that may arise both in the audience and in the economy in general and that can help to better impact users.
Artificial intelligence in marketing uses user profiles to learn how to communicate better with them and send each user personaliz messages without the direct intervention of human resources. The use of large amounts of data also helps to prict user demands and offer them what they ne even before they search for it (an example we see every day is when we start a search on Google and we get search suggestions bas on the text we enter). Publishing the ad in the best location for each customer or customer profile is another application that helps maximize the value of campaigns by increasing ROI.
Analyze data and observe and use trends
Email Marketing Lists by Country We should include examples of how businesses have successfully us country email lists to boost country wise email marketing list their marketing campaigns. A job function is to create an email list that will facilitate their communication with potential clients and partners. As our data is fresh and new we store our data with experienc staff. Thank you for business with integrity so you will not cheat us.
Artificial intelligence is also becoming increasingly useful in content writing
In addition, we obtain applications such as customer segmentation, sales priction and first-time customer service through chatbots (an application that simulates and processes conversations in natural language) that allow for first-time customer service 24/7.
These are just some of the areas where artificial intelligence can support and boost digital marketing, but as it is a technology with a lot of potential yet to be develop and which has more and more data available, the possibilities for the future are multiple.
Examples of Artificial Intelligence in Marketing
Of course, there are already actions, so we can observe some of its applications:
- Netflix. This company is known to use an AI-bas content recommendation algorithm. Bas on the user’s viewing history and data such as time and day, Netflix uses the metadata of movies and series as well as their arguments to make a personaliz recommendation. They also use AI to determine which regions each content would work best in order to specifically target their marketing campaigns.
Companies applying artificial intelligence in their marketing
- Starbucks. This company uses its loyalty card to record customer orders, where they were plac, and even the time and day. With this data, it sends personaliz marketing messages through its app when the customer contextual advertising for allo omes to a store, as well as special offers.
- Amazon. This giant uses Amazon Personalize, a product recommendation technology us by companies such as Domino’s, Yamaha and Subway.
- Uber. This company uses artificial intelligence to generate dynamic prices according to the demand that may exist in each area, as well as to try to detect the state of the client through the way in which they use the application. In this way, if the artificial intelligence detects that a client is intoxicat, it will try to send an experienc driver to perform the service.
The future of artificial intelligence in marketing
The future of this technology in the field of marketing has as much potential as in many other fields. In fact, it is estimat that by 2025, 95% of consumption will be done using artificial intelligence. The possibilities it uae cell number offers are only just beginning to be explor, and although there is fantastic literature that tells us that machines will replace humans, and they can certainly obtain better results in specific tests, there is still a long way to go before machines take over.
As regulatory policies advance and, taking into account that artificial intelligence fes on the data we generate, one of the key points to keep in mind will be to make responsible, ethical and legal use of user data.
Factors to take into account will be:
- Respect privacy, especially regarding sensitive data such as financial and mical data.
- Making responsible use of data , developing mechanisms that control and regulate ethical use of the same.
- Check its accuracy, ensuring that the data us is correct, true and up to date.
- Be fair in the information offer , since this information causes the user to generate opinions bas on it.
- Being transparent in the treatment of data, this last point being perhaps the one that has been work on the most in recent times.
It is recommend to link Google Analytics 4 at least with Search Console. In addition, if we run campaigns on Google Ads, Display 360 or Search Ads 360, we can also link to these tools. Google Play in case we are using an Android application and Merchant Center if we are an ecommerce and we have register our catalog in this service.
