You better believe I was bummed by the Digiday article suggesting that the time-based guarantee movement has stalled out. Those who regularly read my opuses know I’ve long been a huge advocate for this style of transaction because time (and really engaged time, which can be used as a proxy for attention) is that universal metric that long seemed out of reach. You can easily compare time across screens and platforms, no matter if it’s digital or linear. Yet “stalled out” is too dramatic a term.
Ads.txt landed in the digital media world circled by a lot more confusion than you’d expect from a text file. Although the goals of rendering domain spoofing worthless and cutting down on arbitrage were quite noble, the approach was almost too simple for an industry that revels in complexity. Fortunately, the folks at Ad Reform came to the rescue with an ads.txt validator that was the talk of the Nashville Publisher Forum.
We’ve long been big header cheerleaders at AdMonsters, but we also have never shied away from one of its biggest setbacks: potential latency issues. Indeed, fear of latency has kept some premium publishers away from header integrations and continues to make others wary about embracing header tech too closely. At the same time, maybe we haven’t gone enough into the specifics of how header integrations add to latency—and how to measure the effect.
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".