Visual Search: What It Is and Why It Boosts Online Sales
Posted: Sun Dec 15, 2024 7:18 am
Visual search for e-commerce is an increasingly established trend. By using images to perform searches, you optimize the user experience and can attract them to your brand more easily. Find out how to apply and take advantage of this resource!
The growth in Internet search volume is a double-edged sword for marketing professionals . At the same time that the phenomenon represents an opportunity to reach consumers through this channel, the competition to attract users' attention is increasing.
Therefore, the search for new media that facilitate the public experience must be incessant . A trend that is gaining strength is visual search, driven by the feeling present among 74% of Internet users that searches in text form are no longer as efficient.
Using this resource can be the solution to improve azerbaijan email list 194608 contact leads your e-commerce traffic and, as a result, boost sales . But, to do so, you need to master the concept and know the main techniques related to visual search. And that's why we created this article!
Interested? Then read on!
What is visual search?
How is visual search applied to ecommerce?
How can your ecommerce benefit from visual search?
What are the most relevant visual search tools?
How to apply visual search for ecommerce?
What are the success stories in the use of visual search for ecommerce?
What is visual search?
As you may have already deduced, visual search is an alternative way of searching the Internet. Instead of typing the text and keywords you want to find, this resource allows navigation to be started from an image , which can be a photo taken by the user or even a screenshot.
This is a trend that is gaining strength due to the development of digital transformation in society. Today, a large number of people have advanced cell phones and cameras, which increases the possibilities of using technology.
However, the technology behind visual search is much more complex than these devices. It is machine learning , which is responsible for much of the resources needed for Google's and other search engine algorithms to recognize the elements of an image.
The process of machine learning is similar to that of a human acquiring knowledge . The computer is fed with data that gradually increases in size.
With this, machines learn to distinguish variations between different information standards. To enhance this, Google cross-references data with its own database and allows the computer to connect the pieces of the puzzle and identify what an image represents and what its context is.
The growth in Internet search volume is a double-edged sword for marketing professionals . At the same time that the phenomenon represents an opportunity to reach consumers through this channel, the competition to attract users' attention is increasing.
Therefore, the search for new media that facilitate the public experience must be incessant . A trend that is gaining strength is visual search, driven by the feeling present among 74% of Internet users that searches in text form are no longer as efficient.
Using this resource can be the solution to improve azerbaijan email list 194608 contact leads your e-commerce traffic and, as a result, boost sales . But, to do so, you need to master the concept and know the main techniques related to visual search. And that's why we created this article!
Interested? Then read on!
What is visual search?
How is visual search applied to ecommerce?
How can your ecommerce benefit from visual search?
What are the most relevant visual search tools?
How to apply visual search for ecommerce?
What are the success stories in the use of visual search for ecommerce?
What is visual search?
As you may have already deduced, visual search is an alternative way of searching the Internet. Instead of typing the text and keywords you want to find, this resource allows navigation to be started from an image , which can be a photo taken by the user or even a screenshot.
This is a trend that is gaining strength due to the development of digital transformation in society. Today, a large number of people have advanced cell phones and cameras, which increases the possibilities of using technology.
However, the technology behind visual search is much more complex than these devices. It is machine learning , which is responsible for much of the resources needed for Google's and other search engine algorithms to recognize the elements of an image.
The process of machine learning is similar to that of a human acquiring knowledge . The computer is fed with data that gradually increases in size.
With this, machines learn to distinguish variations between different information standards. To enhance this, Google cross-references data with its own database and allows the computer to connect the pieces of the puzzle and identify what an image represents and what its context is.