5 best examples of AI in advertising

What has made the advertising campaigns of Meta, Coca-Cola or Nike successful in recent years? Is one of the key reasons that they apply AI to advertising (AI advertising)? Let's learn about 5 typical examples in the advertising industry for more information.

1. Meta 

Most of us are probably more or less familiar with the machine learning algorithms that Meta has created to create explosive media campaigns. They started testing AI-generated advertising programs on Facebook with the announcement of AI Sandbox for advertisers in mid-year 2023. And the initial positive effect is the ability to attract many advertisers. more advertising to their platform. Along with that, of course, is the effectiveness and optimization of advertising campaigns.
According to many experts, Sandbox has the potential to put Meta in the position of owning the second-best AI-based mobile advertising platform of all time. They not only help save time in creating new advertising content but also contribute to process innovation and move in the right direction of the market.

2. Coca-Cola AI competition and announcement of an alliance with OpenAI

2023 is considered an important milestone when Coca-Cola announced a global service alliance with OpenAI with the aim of integrating artificial intelligence into its internal systems. This is also considered a major turning point in communication and advertising for this global beverage brand. 
Also during this period, Coca-Cola organized a contest called "Create Real Magic". They gave advertising creators a problem about the history of Coca-Cola using a combination of ChatGPT, DALL-E and some other AI applications. Then select excellent works of art and share them on the website to increase brand recognition. This is also how Coca-Cola strives to build a sustainable relationship with OpenAI.

3. Calm App uses Amazon Personalize 

Amazon Personalize is one of the parts of AWS (Amazon Web Services) that enables the display of highly personalized product recommendations through the use of machine learning to stimulate consumption and attract users. 
Faced with the ever-expanding content library in its application, Calm immediately thought of a dynamic rule that recommends content to users, Sleep Stories, which encourages users to express their interests while deleting Sleep Stories they heard. This contributes to helping suggestions be updated and more relevant to user preferences. 
Through training Amazon Personalize with data and lots of testing them, Calm was able to increase daily app usage by 3.4%, which is considered a positive sign for them.

4. Nike creates AI advertising campaign with Serena Williams

Nike is also considered one of the pioneers in the field of AI as well as using AI in advertising. In particular, the Nike Fit application is a typical example of how the company uses and optimizes data to market to customers. By combining AR (augmented reality) and AI, users can conveniently scan their foot characteristics within the app. From the information collected, the application will automatically suggest suitable shoe models for users to refer to without having to spend too much time searching in the store. 
In addition, Nike also used artificial intelligence to carry out the "Never Done Evolution" advertising campaign with Serena Williams. This campaign made a strong impression in the media because it was like an AI-generated match between a young Serena, specifically her first Grand Slam in 1999, and a more modern version of herself from the Grand Slam. Australian Open Tennis 2017. This award-winning 8-minute video ad celebrates Nike's 50th anniversary.

5. ClickUp uses SurferSEO to increase blog traffic by 85% 

ClickUp also has an impressive advertising campaign using AI with the goal of optimizing its content while still ensuring an increase in both quality and quantity of output. 
An established blog with over 500 people, so ClickUp needed a push beyond their comfort zone and take them to the next level. That's why they used SurferSEO as the solution this time. This tool combines quality SEO recommendations and SERP data all in one place. Of course, it still ensures ease of integration and use. It helps ClickUp generate insights during the content planning process. For example, which is the main keyword and which is the secondary keyword? Or even create full content summaries, track performance, streamline processes, etc. Thanks to that, we contributed to publishing more than 150 articles and increasing organic traffic by 85% within 12 months.