5 Ways Visual Search Will Transform Marketing by 2024
As online shopping continues to evolve at a breakneck pace, customers are growing increasingly impatient with irrelevant product search results. Visual search technology powered by artificial intelligence is emerging as the antidote to search frustration, and is poised to revolutionize digital marketing over the next few years.
Visual search allows users to snap a photo of any item in the real world and instantly find and purchase that product (or visually similar ones) online. Rather than fumbling with a text query, the image itself acts as the search query. Sophisticated deep learning algorithms analyze the contents of the image, identifying objects, colors, patterns and text to surface the most relevant results from a retailer‘s catalog in a matter of milliseconds.
Tech giants like Google and Pinterest, as well as major retailers, are heavily investing in visual search capabilities to meet growing consumer demand. Google Lens, first introduced in 2017, can now identify billions of products, landmarks, text and more just by scanning a photo. Pinterest‘s visual search tool allows users to zoom in on any part of a Pin to find similar items, making it a powerful product discovery and advertising platform for brands.
Early adopters, particularly in the fashion and home décor sectors, are already seeing impressive results. Home retailer Wayfair saw a 3X increase in conversion rate after introducing visual search, while fashion brands like Tommy Hilfiger are using visual AI solutions to make their product catalogs fully searchable by image.
But the transformative power of visual search extends far beyond the bounds of retail. From travel booking to real estate, any industry that relies on images to market their offerings will need to prepare for the visual search revolution. Here are five key ways that visual search will transform marketing by 2024:
1. Raising the Bar for Digital Experiences
As more customers encounter sophisticated visual search tools in their day-to-day browsing, it will quickly become the new standard they expect from every digital interaction. Today, 62% of millennials say they want visual search capabilities more than any other new technology. The instant gratification and uncanny precision enabled by visual search will make traditional text-based search seem archaic and frustrating in comparison.
Even if your business doesn‘t have an immediate use case for visual search, these heightened consumer expectations will soon apply to your digital presence too. Tolerance for clunky user interfaces, irrelevant product recommendations, or slow load times will plummet as customers grow accustomed to the speed and seamlessness of visual search.
In a study by Syte, consumers were able to find a specific product they were looking for using visual search in just 27 seconds – a 6X improvement over traditional text search, which took more than 2 minutes on average. To remain competitive, brands will need to streamline their user experience to deliver the same instant gratification through whichever search method a customer prefers.
Visual search will also reshape customer expectations about the level of product detail and context available while browsing online. No longer will a couple of product shots from just one or two angles suffice. Customers will expect to be able to view items from every angle, zoom in on details, see the product in various contexts, and easily find similar or complementary items – all functionalities that visual search enables.
To prepare for this shift, conduct an audit of your digital content and product imagery with a critical eye. Does it effectively showcase your products in a way that would lend itself to a satisfying visual search experience? Identify any gaps and make a plan to level-up your visuals to get ahead of rising customer expectations.
2. Supercharging Influencer Marketing
Influencer partnerships have become an ubiquitous marketing tactic, particularly in visually-driven industries like fashion, beauty, and home. In fact, 91% of luxury brands and 84% of fashion and activewear brands report using influencers in their marketing mix. However, the traditional influencer post tends to directly promote one "hero" product worn or used by the influencer, missing out on a major revenue opportunity.
Enter visual search, which will unlock the ability to make an influencer‘s entire look or collection of products shoppable. Advanced image recognition algorithms can auto-tag and generate links for each item featured in an influencer‘s post, from their headband down to their shoes. Rather than hoping for sales of one featured lipstick or dress, brands will be able to multiply their influencer ROI by selling a whole curated look.
With just a few clicks, an influencer‘s stylized Instagram post can become an interactive, personalized digital catalog for their audience to explore. According to Accenture, 63% of consumers are interested in purchasing a real-world look they find on social media, and visual search will soon make this possible at scale. Expect to see visual search-enabled "Shop the Look" features become a standard integration for influencer campaigns.
The magic of social media has always been the ability to "stumble upon" new brands and products you didn‘t even know you were looking for. Visual search will amplify that serendipitous product discovery by allowing users to go beyond an influencer‘s exact items and browse algorithmically generated suggestions for similar styles or complementary products – significantly expanding the potential purchase opportunities from a single post.
This shift will make influencer partnerships even more valuable for driving both immediate sales and filling the top of the customer acquisition funnel with new prospects. To capitalize on the trend, make plans to integrate visual search capabilities into your influencer campaigns, and collaborate with influencers to create content that inspires their audience to explore entire shoppable lifestyles or aesthetics, not just one-off products.
3. Ushering in the Era of Shoppable Content
Brands invest significant time and resources into crafting high-quality content marketing assets to engage their target audience. But historically it has been difficult to draw a straight line from content engagement to revenue. Someone might spend 15 minutes engrossed in a blog post or brand video, but without a direct shoppable path, they‘re likely to drop off before bothering to search for featured products independently.
Visual search is the missing link that will finally connect content engagement to measurable sales. Any products featured in a digital content asset – whether an editorial photo spread, video, or even user-generated content – can be auto-tagged and made instantly shoppable.
Imagine reading an article about the top interior design trends for 2024. You see a photo of a beautifully styled living room and hover your mouse over an eye-catching piece of wall art. A small pop-up window appears with the product name, price, and an "Add to Cart" button, allowing you to start the purchase process without ever leaving the article. This frictionless content-to-commerce experience will soon become the norm, with 51% of consumers saying they would be more likely to buy from a brand whose content is shoppable.
For marketers, shoppable content will provide a wealth of new insights about which assets are truly driving the most engagement and conversion. A/B test different featured products, analyze which types of imagery generate the most sales, and identify your top performing content assets to optimize your strategy. Shoppable content analytics will help quantify the ROI of content marketing with greater precision than ever before.
4. Streamlining Image SEO
In the age of visual search, optimizing images for search engine discoverability is more critical than ever. But the old approach of manually tagging each image file with a handful of relevant keywords is tedious and imprecise. Visual search technology introduces a new method called "deep tagging" that can auto-tag images with a far richer, more comprehensive set of descriptors in a matter of milliseconds.
Rather than relying on a human (who may miss key elements) to determine which tags to apply, deep learning algorithms can analyze the full contents of an image to identify meaningful attributes like color, pattern, material, shape, brand, occasion, and more. The most sophisticated solutions can auto-generate as many as 15,000 relevant tags for a single product image based on analyzing the smallest visual details.
This deep tagging not only saves countless hours of manual effort, but also results in images that are indexed and discoverable via a much wider range of long-tail search queries. For example, while a human might tag a dress image as "floral maxi dress," visual search technology could auto-generate additional tags like "tiered skirt," "empire waist," "cap sleeves," and "romantic wedding guest dress" – all of which help the image match to more specific search intents.
Robust, AI-generated tags make images far more discoverable, both via external search engines like Google as well as within a brand‘s own on-site search function. No more missing out on relevant search traffic due to human tagging inconsistencies or oversight. When paired with strong SEO fundamentals like descriptive file names and captions, deep-tagged images can dramatically improve a brand‘s search engine ranking for relevant queries, driving more qualified organic traffic to convert.
5. Inspiring Unanticipated Purchases
While traditional text-based search is ideal for finding a specific product you already have in mind, visual search excels at serendipitous product discovery. The sophisticated AI powering visual search can interpret the style, aesthetic, and key attributes of the product in an image to recommend visually or conceptually similar items the shopper might like – even if they would never have thought to search for them by name.
For example, a shopper could upload a photo of their living room and instantly receive tailored recommendations for wall art, throw pillows, or light fixtures that would complement their existing furniture and decor. Or they could snap a picture of a stranger‘s outfit they admire on the street and immediately browse similar styles that fit their personal taste and budget.
This ability to surface previously unconsidered yet highly relevant product suggestions based on a shopper‘s visual search is immensely powerful for unlocking incremental revenue. Home retailer Wayfair reported a 3X increase in conversion rate after implementing a visual search feature, largely attributed to the tool‘s knack for recommending the right products to complete a room.
The more visual search queries a shopper makes, the more the AI learns about their unique style and preferences based on the images they engage with. These rich visual insights can then be used to personalize the end-to-end shopping experience, from the homepage product assortment to email campaigns to on-site product recommendations. According to BCG, retailers that have implemented personalization strategies see sales gains of 6-10%, at a rate 2-3 times faster than other retailers.
For marketers, the implications are clear. An intelligent visual search strategy doesn‘t just help connect shoppers with the products they‘re explicitly searching for. It creates a goldmine of new customer insights that can be used to optimize the entire marketing mix and drive measurable sales lift.
The Future of Search is Visual
What started as a convenient tool for finding a specific product based on an image is quickly evolving into an indispensable discovery engine that will reshape the shopping experience as we know it. From computer vision-powered product tagging to AI-driven hyper-personalization, the technology underpinning visual search will become a core part of the marketing stack for digitally-savvy brands.
But visual search is not a standalone tactic to be implemented in a silo. Its real power lies in combining rich visual data with customer signals across touchpoints to create a holistic understanding of each individual shopper. Brands that embrace visual search as part of an integrated, customer-centric marketing strategy will be well-positioned to thrive in the fast-approaching visual commerce era.
The time to start preparing is now. Audit your existing product catalog and imagery to ensure you‘re ready for the visual web. Experiment with making your digital content and social media shoppable. Optimize your image tagging and SEO practices. Explore AI-powered product recommendation engines. Most importantly, stay relentlessly focused on using visual insights to create frictionless, hyper-relevant shopping experiences for your customers.
Visual search may have started as a novelty, but it will soon become table stakes for digital commerce. Brands that move quickly to adopt a visual-first mindset will gain a significant competitive advantage in the years ahead. Will you be ready?
