Innovative Marketing Technologies
Posted: Sat Jan 18, 2025 8:56 am
Understanding and being able to effectively use a variety of marketing technologies is critical to achieving success in today's digital world. As they evolve, new opportunities open up for marketers. Here are five tech trends that are transforming the digital marketing market today.
AI-powered visualization
The use of neural networks has become an integral part of the workflow of marketers. A particularly important milestone was the release of GPT-3 technology from Open AI in 2020. This innovation allows you to create headlines, short texts, even poetry and prose, as well as generate scripts in programming languages to solve analytical problems.
Smart algorithms based on artificial intelligence are now capable of:
offer bid adjustments in contextual advertising;
Recommend ad settings for additional audiences.
The use of artificial intelligence amazon data package and machine learning to create visual elements in creative fields has been actively developing over the past 2-3 years. Advertising using deepfake, such as the image of Georges Miloslavsky from Sber, was presented back in 2020.
AI-powered visualization
Source: shutterstock.com
However, in 2022, we will see a real explosion in the field of advertising deepfakes.
Companies have increasingly begun to delegate tasks that were previously performed by illustrators and web designers to neural networks. For example, Samsung entrusted a neural network with creating social media banners for its European division, which allowed it to save significant money by bypassing contract agencies.
This trend goes beyond simple illustration – neural networks are now capable of creating more complex business objects, such as web pages, with a high level of quality. This approach promises not only efficiency, but also significant savings.
In the future, companies may increasingly prefer artificial intelligence for routine tasks such as:
drawing banners;
creation of short texts and short videos.
Image recognition technologies
Visual search is becoming increasingly important. In 2019, every fourth search on the Internet was for images.
This trend brings significant improvements:
48% increase in product views;
increase in repeat visits by 75%;
an increase in the average purchase price by 11%.
Visual search has long been used in everyday life by smartphone users. An example is Google Lens, which provides the ability to:
upload images or take photos in the app and then find similar images;
translate text from image;
find pages on the Internet about objects similar to those uploaded or photographed by the user.
For marketers and entrepreneurs, visual search is primarily attractive because it allows you to search for products by photo. Any photographed object can be easily found in Google, and if your product appears in the search results, you instantly attract a potential buyer.
In 2018 alone, Google Lens recognized over a billion objects, and by 2022, the service had been used over eight billion times. Visual search is becoming increasingly popular, and it’s not limited to Google.
Visual search algorithms are being actively implemented by large social services, retailers and marketplaces:
Snapchat (Camera Search);
eBay (Image Search);
Asos customers can shop using images thanks to Asos Style Match technology;
Pinterest (Pinterest Lens, introduced in 2015, two years before Google's similar service).
AI-powered visualization
The use of neural networks has become an integral part of the workflow of marketers. A particularly important milestone was the release of GPT-3 technology from Open AI in 2020. This innovation allows you to create headlines, short texts, even poetry and prose, as well as generate scripts in programming languages to solve analytical problems.
Smart algorithms based on artificial intelligence are now capable of:
offer bid adjustments in contextual advertising;
Recommend ad settings for additional audiences.
The use of artificial intelligence amazon data package and machine learning to create visual elements in creative fields has been actively developing over the past 2-3 years. Advertising using deepfake, such as the image of Georges Miloslavsky from Sber, was presented back in 2020.
AI-powered visualization
Source: shutterstock.com
However, in 2022, we will see a real explosion in the field of advertising deepfakes.
Companies have increasingly begun to delegate tasks that were previously performed by illustrators and web designers to neural networks. For example, Samsung entrusted a neural network with creating social media banners for its European division, which allowed it to save significant money by bypassing contract agencies.
This trend goes beyond simple illustration – neural networks are now capable of creating more complex business objects, such as web pages, with a high level of quality. This approach promises not only efficiency, but also significant savings.
In the future, companies may increasingly prefer artificial intelligence for routine tasks such as:
drawing banners;
creation of short texts and short videos.
Image recognition technologies
Visual search is becoming increasingly important. In 2019, every fourth search on the Internet was for images.
This trend brings significant improvements:
48% increase in product views;
increase in repeat visits by 75%;
an increase in the average purchase price by 11%.
Visual search has long been used in everyday life by smartphone users. An example is Google Lens, which provides the ability to:
upload images or take photos in the app and then find similar images;
translate text from image;
find pages on the Internet about objects similar to those uploaded or photographed by the user.
For marketers and entrepreneurs, visual search is primarily attractive because it allows you to search for products by photo. Any photographed object can be easily found in Google, and if your product appears in the search results, you instantly attract a potential buyer.
In 2018 alone, Google Lens recognized over a billion objects, and by 2022, the service had been used over eight billion times. Visual search is becoming increasingly popular, and it’s not limited to Google.
Visual search algorithms are being actively implemented by large social services, retailers and marketplaces:
Snapchat (Camera Search);
eBay (Image Search);
Asos customers can shop using images thanks to Asos Style Match technology;
Pinterest (Pinterest Lens, introduced in 2015, two years before Google's similar service).