Contextual targeting in the post-cookie era reviews

Contextual targeting in the post-cookie era reviews

What is computer vision?

Computer vision is an image recognition technology. It uses AI algorithms combined with knowledge gained through thousands of campaigns. It combines modern technology with many years of experience in the marketing industry.

How does computer vision work?

Deep learning models automate much of this process. They are often trained by giving them thousands of tagged or pre-identified images. Computer vision accurately analyzes graphics, texts and videos and recognizes more than 10,000 types of objects.

The last stage is the interpretation stage, in which the object is identified or classified. Computer vision defines the “full” meaning of a page. This makes contextual targeting more efficient than ever.

Types of computer vision-how to distinguish high-quality tools from test solutions?

Recently, technology giants such as Google and Microsoft have released their own AI SDK toolkits. These are interesting technical solutions that offer an easy way to build simple AI algorithms and simple image processing applications. However, there is a fundamental difference between computer vision and prototype applications using image processing.

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Computer vision is a complete marketing solution. It recognises and processes any content that may be found on the website. It then defines the meaning of the page and is able to specify objects found in images and videos.

Computer vision relies on tools such as:
• Image, video, text processing;
• AI algorithms,
* Huge collections of pre-identified or flagged content,
* Algorithm for defining moods.

Applications with an image processing implementation have a narrow set of functions. They are usually built around processing and comparing images. Therefore, their action is rather to answer whether there is an object in the image. However, it cannot offer a definition of the meaning and context of the page.

Image processing applications are usually based on:
• a starter set of several hundred images to learn the algorithm;
• interface that shows the result of comparing images;
* simple image processing.

And it is this difference in determining the importance of the site that is of fundamental importance for the marketing industry.

The placement of ads will increasingly depend on the context of the site. When you publish your ads online, you want to make sure that they are displayed on the right pages around the world. Knowing that the algorithm just found a sofa on one of the images is not enough.

This is the basis of the business value that computer vision provides
There are two key elements to understanding how computer vision benefits you and your customers.

Good location equals better sales, reach and engagement

At the end of the day, you want your ads to work and deliver great results. Placement of advertising is a key factor in this process. This is also the part where computer vision works perfectly.
Instead of trying to explain the decline in results caused by global changes in user privacy, you can use a tool that solves this problem from day one.

It’s better than cookies.

With computer vision, you’re making this important change-from tracking users to serving ads in the right context. In addition, controlling the environment of advertising and analyzing it. Previously, this was impossible-it would take a team of marketers ages to complete this task. Today, however, it is a smart, time-efficient and brand-safe way to advertise.

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