If I’m being honest, data privacy is a topic that tends to elicit more eyerolls than expressions of enthusiasm among marketers. After all, data is supposed to be the fuel that powers the modern marketing machine. Marketers are awash in myriad types of data about past, current and potential future customers.
If you’re a marketing leader that has a hand in buying and deploying technology, you know that the martech landscape is vast, complex, chaotic and challenging to navigate. But you might also have a similar view as you look inward to your own martech stack. It’s a line of questioning that I frequently get from clients: How do I make sense of all the different marketing tools and services that are in place?
Marketers have been dealing with ad fraud and brand safety challenges since the earliest days of digital advertising. But these issues have more recently bubbled up to the top of the priority list for marketing leaders responsible for advertising as they continue to dig for answers on the performance and efficacy of their efforts in leveraging a complex digital media ecosystem.
New @GartnerDigital blog post: Three potential ways the #GDPR will be a game-changer for how brands approach personalized marketing: privacy by design, preference management and data persistence risks http://ow.ly/E6O730izIVK
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 Musk AND Zuckerberg or Musk + Zuckerberg.
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, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
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".