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.
Even in a hyper technology-driven world, one of the most influential forms of local marketing remains word of mouth. But of course that universal principle has taken on new digital formats, including social influence and good-old local business reviews. Reviews optimization is the name of today’s game. We spoke to TripAdvisor Restaurant Division Lead Mark Goloboy on the latest episode of Street Fight’s Heard on the Street podcast to find out how his company is innovating in reputation and identify best practices for businesses.
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.
Considering the level of influence that online reviews can have on any given business, it’s become increasingly important to optimize them in various ways. How is that done? There are lots of tactical ins and outs we highlight on this episode of the Heard on the Street Podcast.
Many small businesses have picked up on referral marketing options, but word-of-mouth referrals are an ancillary benefit of networking with other local business owners. “The entire business community needs a way to connect and have ongoing dialogue,” says Ro Prakash, co-founder of Townsquared.
There can be little disagreement that building a word-of-mouth platform is difficult. But if social recommendations are the gold standard, why should we expect users to pick solutions that provide the convenience of scheduling and booking but lack the trust of word-of-mouth?
Why Online Marketplaces Will Continue to Beat Word-of-Mouth Platforms in the Battle for Local Business
People seek the opinions of their friends. They care what they think, and they trust them to make recommendations on everything from a good meal to a good mechanic. It’s word of mouth marketing — the most prized of its kind since the Stone Age. And its staying power undeniably supports the rationale for a […]
You can’t love what you don’t understand and the same holds true at every level of strategy – from local to global. We already know geo-targeted advertising campaigns equal success; it’s only a matter of jumping the hurdle of understanding before local businesses know it too…
In a poll conducted in early November by Street Fight, 500 U.S. consumers were asked who or what sources they are most likely to consult before visiting a local business. The survey found that 37% say they ask a friend or colleague about their opinion of the business; 36% visit that merchant’s website; 16% examine the merchant’s reputation on review sites; and just 11% conduct local searches for information about that business and/or nearby competitors…
A new Street Fight poll finds that even with a slew of new locally targeted marketing platforms at local merchants’ disposal, word-of-mouth is still a primary driver of local consumer behavior. The poll of 500 U.S. consumers found that 43% of consumers are most likely to shop or dine at a local business after a recommendation from a friend or colleague…