Commentary
AI Technology is Getting within Reach for Small Restaurants
Rodion Yeroshek: The majority of restaurant businesses, especially the small ones, remain slow adopters and non-adopters of AI technology. People may think that the introduction of AI in small restaurant operations is nothing more than jumping on the bandwagon. However, research on the impact of AI on the world economy by McKinsey Global Institute warns the naysayers. The research predicts that by 2030 active adopters of AI technologies could double their cash flow, while non-adopters could lose up to 20% of theirs. This is a hint for restaurant managers who plan to stay in business for the next 10-15 years that it’s time they embrace AI tools or prepare to lose a big part of their market share for good.
Four Targeting Myths That Devalue the Real Power of Location Data
Jake Moskowitz, head of the Emodo Institute, debunks some myths about location data. Here’s the first shocking one: Location data can’t find you 60 million devices that visited a Hyundai dealership within the last month or two… or three, because that’s impossible. Throughout all of 2017, across the entire US, there were only about 17 million cars sold in total. That includes Hyundai, Honda, Ford—indeed, all brands. In data stores, users run across super-sized segments all the time. It’s not uncommon for vendors to claim that their single-brand auto dealership visitor segments include tens of millions of consumers. Location data is powerful, but it can’t make up shoppers.
3 Advantages of Private-Label or In-House Affiliate Marketing
The affiliate space continues to become more innovative each year. As a result, clients are looking for ways to enhance their affiliate programs. This could include anything from cross-device tracking to multi-channel attribution. And one of the fastest-growing affiliate marketing trends is private or “in-house” programs that are powered by white-label network or technology solutions. […]
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