Google has been fined $1.7 billion for violating Europe’s antitrust policies. Specifically, the company stands accused of compelling companies that deploy its search capabilities on their own platforms to display a disproportionately high humber of text ads that will line Google’s pockets.
Can privacy and personalization ever be compatible? It’s not a question consumers regularly ask, even though concerns over targeting and apps that continuously log location data grow greater by the day. For marketers, however, the answer to whether privacy and personalization can coexist, and what happens to location data in the wake of tightening restrictions, has important ramifications. Industry experts weigh in.
As the location data and marketing industries experience heightened calls for privacy and quality control, location data verification solution Location Sciences is expanding to the Americas. The London-based firm also announced on Tuesday morning its appointment of digital marketing veteran Warren Zenna to take the helm on this side of the Atlantic.
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%).
Foursquare announced on Friday, coinciding with the ten-year anniversary of its launch at SXSW, a new feature called Hypertrending that shows users the most popular places where people are meeting up around them.
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.
The visual-first ads are here. Google announced at the retail conference Shoptalk on Wednesday that it is launching shoppable ads in image search, propelling the search giant into the center of the visual zeitgeist that has made Pinterest, Instagram, and Snapchat hot targets for advertisers.
Native ad firm AdYouLike is staking its reputation on the assumption that the ads you like may not look like ads. That bet appears to be paying off, as a report from the firm shows the native ad industry set to grow to $400 billion by 2025, a 372% jump from the projected size of the market in 2020.
“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.”
Voice is not only booming as a search tool but also seems to be cannibalizing search volume from the medium that last revolutionized the practice of digital discovery: mobile. That’s the headline from Stone Temple Consulting’s third annual survey of consumers regarding their use of voice-enabled devices.
At its annual conference in Dana Point, CA, this week, the Local Search Association recognized the best solutions in location-based search and advertising with its annual Ad-to-Action awards. Award winners, who competed in a field of over 80 entries and were selected by judges representing companies such as Google, Amazon, and Walmart, included Brandify, PlaceIQ, and Vendasta.
Greater customer expectations and technological advancements are driving big changes in delivery. What’s more, the delivery experience has emerged as a differentiating factor for customers when choosing one retailer over another. eCommerce retailers that operate solely online and omnichannel retailers that offer a physical and digital presence are both beginning to expand their delivery options to meet customer demand. Here are seven trends that will define retail delivery during 2019.
Mike Boland: A recent and relatively understated development from Google could portend the future of augmented reality. Its previously teased “VPS” was released into the wild for a small set of users. For those unfamiliar, VPS (visual positioning service) guides users with 3D overlays on upheld smartphone screens. Sort of a cousin of AR, this type of experience could represent the sector’s eventual killer apps. Though we’ve seen the most AR success so far in gaming (Pokemon Go) and social (Snapchat AR lenses), it could be more mundane utilities like navigation that engender high-frequency use cases.
Google has been hard at work on local in 2018 and 2019, taking strides toward making its Google My Business app the one-stop-shop for local businesses hoping to connect with customers through digital means. Nevertheless, local is a tricky, 24-7 business, and when it comes to connecting brick-and-mortars with customers nearby, Alphabet’s core business has some room for improvement.
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.