Visual Search is growing every day and the number of users and searches is increasing rapidly, especially among younger generations such as Millennials, Generation Z and Generation Alpha. Gartner estimates that the global visual search market will exceed $14.727 billion by 2023 and will continue to grow in the coming years.
In this article, we tell you everything you need to know about visual search, together with Javier Villagrán and Kathleen Roldán, so that you can get the most out of it within your digital marketing strategy.
What is visual search
As we told you in the article Visual search: The perfect tool for the purchasing process , visual search is a technique that combines AI and machine learning to decipher the content that makes up an image or photograph.
At the user level, it works like this: you take a photo with latvia whatsapp lead your smartphone camera of any product, or you can also upload an image from social networks to visual search engines and that's it. The search engine will give you results with key data on where to find them.
Visual search works through visual search engines designed to search for information on the Internet based on the image provided by the user.
Visual search engines include:
Google Lens
Pinterest Lens
eBay
Bing
Facebook
Amazon StyleSnap (in partnership with Snapchat)
Clarifai
The information returned to you by these engines can include locations, web pages, other images, or various types of documents. Using AI and machine learning, the patterns in an image are analyzed, creating a similar visual result.
How is visual search different from image search?
It is important to understand the difference between visual search and image search, as they are two different types of search.
While image search is done using words, visual search is part of the “sensory search” trend.
In other words, visual search uses the image itself as a search input, usually through the use of a camera or image recognition software.
This technology is especially useful for shopping, as it allows users to take a photo of an item and find similar products.
“In a world where images are the new language, visual search offers a powerful solution: it is especially useful for e-commerce stores because with its help they can provide incomparably better search results,” says Javier Villagrán, strategy director at Fusiona.
Visual search and artificial intelligence
Visual search is a technology that allows computers to recognize objects and search for them based on visual cues. Similar to the way our brain processes information, visual search technology identifies visual patterns and matches them to images to complete its search.
What makes this technology so useful is its ability to understand and process different types of visual information. Whether it is an image of a person, an object, or even a landscape, visual search technology can identify it and return relevant results.
The advancement of artificial intelligence and machine learning only accelerates the capabilities of visual search technology, making it an interesting tool to watch as it continues to evolve.
“Visual Search allows users to find information using images instead of traditional text-based queries. This seamless interaction between users and technology opens up new possibilities for businesses to showcase their products and services in an engaging, visual way,” says Javier.
Main benefits of visual search
There are many benefits to using visual search capabilities in your marketing strategy, including:
Implementing visual search makes searching easier, especially when you are trying to find something whose name you don't know. All you need to do is capture an image. The pattern recognition algorithm will do the rest.
Customers can further enhance their experience by searching visually through specialized search engines.
Visual search can help you find your way around cities. All you need to do is capture an image of your surroundings and the algorithm will be able to tell you where you are.
You can purchase directly through images.
Visual search produces faster results than text or voice searches.
Visual search boosts your sales and brand reputation
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