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AI in advertising and marketing

Big Data—The New Best Friend of AI in Advertising and Marketing

6 min read

Social media has evidently changed the whole concept of advertisement worldwide. The mainstream media have become irrelevant, while digital platforms and tools have become the main marketing source for enhanced ROI and public engagement.

AI in advertising and marketing is old news, but with data analytics and statistics, it is reaching new horizons. The effect of personalized advertisement gives a sense of exclusivity to the customer. This technique is only of use with big data. 

From online browsing habits to social media interactions, every digital footprint we leave behind contributes to an immense pool of information known as big data. 

The phenomenon of getting large volumes of data and using them to increase product value is called big data techniques.

What Is the Role of Big Data in AI in Advertising and Marketing?

Big data plays an essential role in leveraging AI in advertising and marketing. Big data refers to vast volumes of structured and unstructured information that is generated at an unprecedented rate. 

It encompasses many data sources, including customer behavior, social media activity, website analytics, and transactional records. With the advent of technology, collecting, storing, and analyzing this data has become more accessible and efficient.

Today, 500 terabytes of data are used on Facebook, and 300 hours of video are shared on Youtube daily. Big data is doing wonders by segmenting them and giving accurate results. Many famous brands like BMW, Unilever, Pepsico, etc., use this to learn about public demand and likings.  

The wealth of data available through big data analytics provides advertisers with valuable insights into consumer trends and market dynamics. By analyzing historical data, advertisers can identify patterns, correlations, and emerging opportunities. These insights can inform strategic decision-making, such as product development, pricing, and market positioning.

These practices might put a question mark on a customer’s privacy and data protection. Protecting the client’s data or at least handling it carefully is advisable and ethical to avoid breaking trust. 

Real-Life Examples of Brands Using Big Data to Increase Sales

Brands and companies use advertisements to sell their products. Apart from mainstream advertising, a little out-of-the-box idea makes the product viral. With AI and big data combination, companies are getting out of their comfort zone and interacting with people directly. 

The more people feel involved and relevant, the more they buy the product. Here are the famous examples where brands used big data and AI to get more ROI.

Heinz— Draw a Ketchup Bottle

Heinz is a famous ketchup brand that originated in Canada. It is widely loved and used worldwide. In 2021, they announced a competition on their site and pulled up some billboards. They ask people to draw a ketchup bottle using AI tools and prompts. The winning prompt has a prize at the end of the competition. 

The idea got so viral and became popular among the users. The company observes two benefits from this experiment. First, when anyone thinks of ketchup, they instantly think of ‘Heinz.’ 

The other reason is whenever someone types ‘ketchup’ on the search bar. Heinz comes up on the screen because of excessive traffic. This little activity helps them understand the preference graph of people. Using this data, Hienz advertised its products automatically.


Amazon was the first company to use AI and data analytics to sell its products. Their AI and big data integration are so strong that they can predict your next purchase by analyzing your history. 

Just like when you repeatedly look for a specific plane ticket, the algorithm will identify it and in the end, youll find plane tickets all over your search pages and feeds. Moreover, the prices vary as per the search history. Amazon uses this method on their customers as well. Based on the clicks and interest of a person towards a particular product, they change the product’s price. 

Amazon changes the prices of its products up to 2.5 million times a day. It is solely based on the customer’s needs and the product’s availability in the store. It also sends reminders and emails regarding certain products if you put them in the cart.

Coca Cola

Coca-Cola is one of the oldest beverage companies in the world. They always try different campaigns and advertisements to stay relevant and popular. From printing people’s names on the bottle to celebrating holidays, they always have something in their sleeves.  

Coca-Cola uses AI in advertising and marketing to increase engagement as well. For this, they installed vending machines in the city with the option of ‘customize your drink.’ Through this, they were able to track what kind of drinks and flavors people wanted. They added them to their vending machine, and now there are only 1 million coca cola vending machines in Japan. Definitely a win-win. 

They also made a game where a machine will recognize your face as proof on every purchase to get the company’s rewards and loyalty points. This tactic makes people more creative and interested in Coca-Cola. This collected data helps Coca-Cola to know its brand volume worldwide.

Dept and Hello Monday

Debt and Hello Monday are two digital marketing companies in the USA. They pulled a unique and exciting experiment in the city. 

There are hundreds of vacant shops in New York. They replaced all the mirrors of empty shops with interactive screens. When someone passes them, the mirror scans the person, analyzes his likes and dislikes, and suggests his shoes by replacing his boots with another pair using virtual reality. 

Along with suggestions, they also provided a QR code if someone wants to buy one. This advertisement technique became so popular as people really enjoyed this interactive experience. 

In conclusion, big data help brands uniquely advertise their products. AIthibkbot unleashes all the necessary data on how companies use these tools to increase productivity. The insights derived from big data enable advertisers to optimize their strategies, uncover new opportunities, and drive tangible results. 

However, balancing data utilization with ethical considerations is crucial to ensure consumer privacy and maintain trust. As technology advances, big data will remain a driving force in shaping the future of AI in advertising and marketing.

89% of corporate marketers said they already use data to make strategic decisions. And 66% are increasing their data budgets. So AI in advertising is going nowhere soon.

Usually, companies using big data save them by some encryption so it doesn't get misused by any third party. But it is an ethical violation if someone uses any data without authorization.

No, big data is a collection of large-volume data. Meanwhile, artificial intelligence is a tool to identify the specific behaviors and patterns of certain humans towards something. Both are interrelated, but the dimensions are poles apart.

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