Customer experience is retail’s No. 1 priority for 2017, with a keen focus on personalizing and optimizing the mobile experience. That’s the key finding of the Adobe-eConsultancy study “2017 Digital Trends in Retail.” Below, we present some of the report’s most interesting results, coupled at the end with separate data from Adobe Digital Insights (ADI), which provides a fascinating snapshot of how the retail sector is digitally transforming. 1.
Media personality and former NFL defensive end Michael Strahan graced the stage Tuesday afternoon at Adobe Symposium in New York City, revealing that in between appearing on “Good Morning America,” Fox’s “NFL Sunday,” and the “$100,000 Pyramid,” he always puts on a new suit. His reasoning? “It’s out of respect for the audiences,” said Strahan, who was interviewed by Stacy Martinet, head of marketing strategy and operations at Adobe.
Cloud-based marketing technology is no longer just for marketers. At the end of the day, these integrated digital suites—a.k.a. marketing hubs or marketing clouds—could prove useful to any team within a large enterprise that wants to get closer to the customer. “The act of becoming truly digital extends beyond the CMO,” said Paul Roehrig, chief strategy officer of Cognizant Digital Business. “It is bigger than that.”Today, enterprises have a number of clouds from which to choose.
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".