What I propose is that publishers create (or use) an ultra-light mobile environment where your site/app displays only high-quality, high-value ads that users would actually want to see — the Sunday coupons of 2016. You know, that towering stack of inserts that more than paid for the cost of the paper in 2007. People by the millions would get the Sunday broadsheet just for those coupons. What if digital display ads had that value? Ad blockers? They’d be disabled by choice.
(Ken Doctor / NiemanLab) The editor-in-chief of the new-look HuffPost talks audience analytics in an interview worth reading. (Ajay Nainani / Google) As a user, I like the changes a lot. (M+R) The essential report on nonprofit digital metrics for the 11th year running. (AJ Wilcox / MarketingLand) Will this make LinkedIn a more attractive platform for publishers?
This article was originally published on Medium. As the response was fairly positive to my original post on headline engagement and best practices, I wanted to share a few more examples before I moved on to other topics.
I’ll be very curious about the UX, language and execution of this effort. Might live or die there.
Lastly, is “trust” really the god metric for all media? Do you follow Tasty because you “broadly trust” them.
Trust is important to the Trib’s mission. Everyone’s not the Trib tho
How could a trust score be incomplete? I get they wont pop the hood on the algo, but that polling metric is not. Potential problems: Only polling what you follow = echo chamber. Media trust already low. Polls without incentive to respond are loathed. Sample size for smaller media https://twitter.com/dseetharaman/status/954480059368202240
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
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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
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When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
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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
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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".