Machine learning is taking online search to new levels, and it's not just voice search that's on the rise. While many have focused on the Phone Number List marketing potential of capturing conversational queries barked at Alexa over breakfast, big brands have quietly developed a stronger competitor in interactive SEO: visual search. For decades we have searched for information and products online using a text search bar. The introduction of voice search has since made waves in local SEO, with users looking for opening hours, directions, weather reports and other up-to-the-minute information - but it has left many online retailers puzzled.
Not all trends fit all business models, and for companies that rely heavily on visuals to drive conversions, the opportunities provided by voice search have often felt limited. Guide to 10 Common Website Customer Experience Mistakes Download our FREE Resource - 10 Common Website Customer Experience Mistakes The Phone Number List most common user experience mistakes, with policy recommendations, examples, and recommended resources. Access the guide to 10 common website customer experience mistakes Humans process visuals 60,000 times faster than text, and according to a study by Kissmetrics, 93% of consumers consider visuals to be the deciding factor in a purchasing decision - which is why over the past few years, e-commerce sites have multiplied photo galleries and added 360° videos in an effort to increase conversions.
Now, thanks to innovations like Google Lens and Pinterest's Shop the Look, the benefits of that work look set to increase. Visual search What is visual search? When you've seen an item or an image of an item that caught your eye but you're unsure of the brand, model, name of that style, that's where visual search comes in. Unlike an image search, where a regular text search extracts possible relevant images using structured data, visual search is the process of performing searches using machine learning to analyze the Phone Number List components of a submitted photo and find results that replicate or relate to those visual cues. Think about how Facebook now recognizes the faces of friends you've tagged in previous images – it's this kind of technology that's now being used to develop broader visual search.