Visual search and image recognition are capturing the attention of investors, retail insiders, and everyday consumers. To find out more about where visual search is heading, and what marketers can do to adapt their strategies with the latest trends in mind, we checked in with Apu Gupta, CEO of Curalate, a social commerce company that turns images and videos into storefronts.
Location data is serving as the conduit to connect consumer-facing marketing initiatives with behind-the-scenes merchandising and logistics. According to a survey by Blis, WBR Insights, and Future Stores, the majority of retail marketers (71%) have some type of location strategy in place, with the primary goal being to drive foot traffic and trigger location-based mobile advertising. That’s not a particular surprise, given how popular the latest location-based marketing tactics have become. More surprising, however, is how common it has become for retailers to use location data for local product and inventory search (60%) and localized online customer service (51%).
Location data providers power the vast majority of mobile targeting strategies we’re seeing brand marketers implement today. An incredible 80% of marketers say they plan to boost their use of location data over the next two years, and in the U.S. alone, it’s expected that location-based advertising spend will reach $38.7BN by 2022. In order to achieve those goals, marketers will have to work closely with top location data providers. Here are six companies they’ll be working with.
“Location data offers the ability to turn universal ads into local ads. Same as local TV. The issue is how location targeting is being executed,” says location-based ad veteran Warren Zenna. “People don’t look at ads on their phones when they are out doing things like shopping and driving around. They look at them, sometimes, when they are inactive. Mobile ad creative needs to be better — more engaging and more contextual — and presented when someone is in a contextually relevant mindset.”
Beyond the star ratings lies a wealth of information. Sentiment and opinions can be used to shape the way brands develop their highest-selling products. Given the volume of reviews posted each day, however, it would be impossible for most major brands to analyze every customer reaction individually. Instead, a growing number of brands are utilizing artificial intelligence (AI) technology to extract and analyze the sentiment from product reviews. Here are five examples of platforms that offer this type of AI technology for analyzing customer feedback posted online.
The push into AR can be seen as a way for brand retailers to differentiate themselves from Amazon, bringing the in-store experience into the online world. It’s also a way for retailers to jumpstart word-of-mouth marketing, with the hope that using innovative technologies is new ways will have a viral effect and get people talking.
The distinction between real-world supermarkets and online-only grocers has come down to price. The introduction of a new technology to lower prices for consumers may be what the industry needs to finally push it past the tipping point.
Determined not to fall even further behind their online-only competitors, retailers are investing more heavily in a new breed of review platform. These next-generation solutions integrate written reviews with pictures and videos to create more cohesive omni-channel shopping experiences. Here are six next-gen review platforms that brands are using right now.
New research indicates that consumers are actually more aware of how their personal information is being used today than they were last year, with those ages 55 and above showing the greatest level of awareness. These consumers are increasingly willing to share their personally identifiable information with brand marketers—with one caveat. They want a reward for doing it.
Consumer demand for voice technology has never been greater, and industry heavyweights like Google and Amazon are gearing up for a platform war as they work to integrate voice assistants into virtually every area of the connected consumer’s life. But behind the scenes, many brand marketers are struggling to connect the dots and design campaigns around a technology they don’t fully understand.
Worldwide spending on AR is expected to reach $215 billion by 2021, as new hardware ships and AR moves further into the mainstream. Acceleration in the AR market is also being boosted by brands’ growing frustration over the limitations in display advertising. With AR, brands can bypass ad blockers and unleash their creativity in a bid to capture the attention of consumers. Let’s take a look at how six top brands are using AR for experience marketing right now.
If autonomous checkout systems ever go mainstream, it will be because retailers finally figured out how to effectively harness in-store cameras to determine where customers are and what items they’re holding in real-time. Reaching that goal has proven elusive to AI technology providers thus far, but a San Francisco-based startup called Standard Cognition is hoping that its recent acquisition of Explorer.ai, a mapping and computer vision firm, will be the catalyst that’s necessary to accelerate growth and expand into new retail verticals.
“For brick-and-mortar businesses, the focus on driving foot traffic through mobile couponing is even more important due to the convenience of online shopping. We see mobile coupon platforms becoming ubiquitous and affordable for even small businesses to create, design, and distribute their own coupons,” Katie Wilson, CEO of TapOnIt and a digital advertising veteran, tells our senior editor Stephanie Miles.
Partnerships between on-demand technology providers and global restaurant brands are generating big bucks and creating buzz about what’s possible for the ever-evolving on-demand delivery industry. Tech companies allow retailers and QSRs to keep up with the latest standards for convenience, and partnering with a brand name like Starbucks or McDonald’s can expand the audience of potential users for a growing on-demand startup.