Machine-learning powered shopping is now a thing… & more

By Marc Hummel

November 4, 2016

Welcome to This Week Today, your dose of the five must-read marketing and tech stories from the past seven days. Here’s vol. #sixty-seven for Friday 11.11.2016.

1. Machine-learning powered shopping is now a thing[Forbes]

“The researchers have been training their machine to recognize thousands of different articles of clothing, colors,and styles. As it continues to amass these details, it could be used to pick up on larger trends, or even recommend trends by location.”

2. Go beyond price: Be a shopper’s digital BFF [TotalRetail]

“Price is just a single component among many elements of purchase consideration—retailers can deliver so much more. Weave a variety of benefits into your messaging strategy in order to foster subscriber trust and lead to conversion.”

3. PetSmart takes on Amazon with launch of same-day delivery and subscriptions [TechCrunch]

“Like Amazon, PetSmart shoppers can opt to subscribe to frequent orders through a new ‘auto-ship’ option that lets you choose to have items delivered on a schedule you prefer—anywhere from between 2–8 weeks—in exchange for a 5% discount, along with free shipping.”

4. Why mobile marketing is harder than ever—and what you can do about it [RetailDive]

“Thinking is changing as apps prove beneficial for only some brands. More importantly, a new integrated vision of the computing experience is emerging that seeks to connect users to relevant online information more seamlessly than opening and close multiple apps.”

5. Why so many mobile retail apps fail [TotalRetail]

“As mobile has matured into one of the most important channels for consumer and retailer interactions, shoppers have become extremely picky about the apps they use and will quickly delete an app that doesn’t meet their needs and yield immediate value.”

Marc Hummel is a former Content Marketing Associate for Monetate. He's also a part-time grad student at the University of Pennsylvania. He enjoys biking to work, reading, listening to podcasts/music, and eating ice cream. Usually not all at once. For more about Marc, go here.

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