The Financial Times’ fight against domain spoofing is paying off. After catching 25 ad exchanges misrepresenting access to its inventory in September, the business news publisher took its fraud-fighting test a step further by purchasing counterfeit inventory that purported to be the FT’s to see which vendors were still selling fake FT impressions. Over few days at the end of October, the FT spent $500 on inventory that claimed to be FT.com.
Publishers aren’t the only ones under pressure to adopt ads.txt. On Nov. 15, The Trade Desk will start using ads.txt to block unauthorized vendors from selling impressions, which is a feature that Google’s demand-side platform recently implemented, too. Now that another major DSP is filtering inventory with ads.txt, expect more vendors to follow suit, said Joe Barone, managing partner of digital ad operations at media-buying giant GroupM.
Snapchat’s ad rates have taken a hit since it started selling ads programmatically. CPMs for Snapchat inventory that’s sold in open auctions run between $3 and $8, according to three ad buyers requesting anonymity. Those rates are similar to what’s found on Facebook, but the difference with Facebook is that it has much more scale. Snapchat reported 178 million daily active users in the third quarter. Meanwhile, Facebook claims to have 1.4 billion daily active users.
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".