In a pure-play model, vendors focus exclusively on a certain number of core competencies. Not only does this help those companies to differentiate themselves from firms with broader offerings, but it also gives brands confidence that the vendor is an expert in the market. As online-to-offline attribution takes off, pure-play vendors are taking the lead in innovation, finding new ways to connect digital campaigns to foot traffic and in-store sales. Here are six vendors making a difference in the space right now.
With politicians and everyday political partisans on both the Left and Right peeved at Big Tech (the Left for tech’s role in economic inequality and election hacking, the Right for perceived anti-conservative bias, and thinkers across the spectrum for privacy concerns), it is time for Zuckerberg and his peers to get smarter about the arguments for and against data-driven ad targeting and the business models that rely on it. Facile paeans to relevance are not going to cut it—not with the scrutiny Facebook and the rest of the tech industry are now receiving. Tech executives should be as clear-eyed as their fiercest critics about the ethical underpinnings of their businesses. Only then can innovative, far-reaching conversations about the future of advertising, data collection, privacy, and Big Tech begin.
Marketers with limited budgets are turning to a bevy of self-serve online-to-offline attribution solutions to correlate visitation rates and purchase data with digital campaigns. Utilizing a variety of testing methods for mapping campaign performance and purchases, these platforms are giving marketers the answers they need to justify online ad spend. Here are five examples of online-to-offline attribution platforms that marketers are using right now.
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.
5G goes far beyond just a speed boost. The quantitative advantages are joined by qualitative factors that will enable all kinds of new consumer use cases and content delivery strategies. This notably includes more precise location tracking/targeting and even some indoor use cases (think: retail). 5G-enabled phones will phase in over the next three years. Then, it’s off to the races.
Apple’s privacy-first policies should prove beneficial for the company and for the hundreds of millions of people who use its products. Still, the iPhone maker’s ad, light in tone as its soundtrack may be, strikes a decisively dark note representative of broader national anxiety about Silicon Valley and the danger of its increasingly unavoidable products. Beneath the ad’s veneer of levity, thinly constructed in the form of a small guard dog and man wary of using a urinal too close to his neighbor, the video sends a clear warning to smartphone users entrusting their private information to rival phone makers: The intimate details of your lives may already be compromised. Lean into your worries about your data’s theft and monetization, and fork over 10 Benjamins at the nearest Apple store for the sake of your own security.
Mihm to Blumenthal: The famous Jeff Bezos quote comes to mind: “Your brand is what other people say about you when you’re not in the room.” Increasingly, the room is not a physical place but a virtual one—and it’s not a place you own. Reviews really bring the need to run a decent business at your core into stark relief.
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.
Terry Cane: Search engine optimization isn’t just about on-page technical elements. Not anymore. These days, it’s as much about user experience as it is how well you can appeal to search engine robots. And a big part of that is conversion mapping—understanding the route your leads take from their first click to their purchase.
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.
“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.