Many say retail is changing, or that it's evolving too fast for retailers to keep up. But this is just a pixel of the digital transformation picture. The hard truth is shoppers are changing and Generation Z (everyone born after 1995) is giving us a glimpse into the near future of the retail revolution. Of course, responding to the technology laden desires of post-Millennial shoppers requires understanding them, which can be especially difficult for retail brands that weren’t born online.
Amazon's desire to change the retail industry appears to be insatiable. Fresh on the heels of news the retail giant bought Whole Foods and is going after grocery in a big way, Amazon has added yet another target: apparel brick and mortars. Amazon.com announced it has begun testing Prime Wardrobe, a service that lets customers try on clothes before they buy them and return them for free. Here's how it works. Shoppers pick three or more items across clothes, shoes and accessories.
At the Retail Executive Summit (RES) 2017, Vicki Cantrell, Honorary Chair of RES, speaks with Joeseph Skorupa, Editorial Director, RIS News. Cantrell, who was just entered into the RIS News' Hall of Fame, talks about leadership, innovation, and advanced technology. Find out why she says leadership is critical and stories of store closings don't tell the real story.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Obama AND Romney or Obama + Romney.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used.) For example, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".