With the right personalization and automation technology in place, McDonald’s is said to have plans to learn about customers through their ordering behaviors. More specifically, McDonald’s is planning to use Dynamic Yield’s technology to create a drive-thru menu that can be tailored based on factors like weather, restaurant traffic, and trending menu items. For example, when the temperature tops 100 degrees, milkshakes and ice cream sundaes might move into a prominent spot on the drive-thru menu board. When it starts raining outside, coffee and hot chocolate might take top billing.
Customer data platforms dominated the conversation at the MarTech Conference in California earlier this month, as marketers shared how they’ve been able to pull data from multiple sources, combine that data into single customer profiles, and then make that data available to other marketing systems.
With so much hype surrounding customer data platforms right now, we decided to dig into the market and learn about some of the hottest players in the space. Here’s what we found.
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.
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.
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.
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.