tl;dr → There is peril to display advertising systems, which are mid-sized linkbaitists and newspapers. Paywalls are indicated.
Two recent disruptions to the online advertising market are the widespread use of ad-blocking software and proposed restrictions on third-party tracking, trends that are driven largely by consumer concerns over privacy. Both primarily impact display advertising (as opposed to search and native social ads), and affect how retailers reach customers and how content producers earn revenue. It is, however, unclear what the consequences of these trends are. We investigate using anonymized web browsing histories of 14 million individuals, focusing on “retail sessions” in which users visit online sites that sell goods and services. We find that only 3% of retail sessions are initiated by display ads, a figure that is robust to permissive attribution rules and consistent across widely varying market segments. We further estimate the full distribution of how retail sessions are initiated, and find that search advertising is three times more important than display advertising to retailers, and search advertising is itself roughly three times less important than organic web search. Moving to content providers, we find that display ads are shown by 12% of websites, accounting for 32% of their page views; this reliance is concentrated in online publishing (e.g., news outlets) where the rate is 91%. While most consumption is either in the long-tail of websites that do not show ads, or sites like Facebook that show native, first-party ads, moderately sized web publishers account for a substantial fraction of consumption, and we argue that they will be most affected by changes in the display advertising market. Finally, we use estimates of ad rates to judge the feasibility of replacing lost ad revenue with a freemium or donation-based model.
How Smartphones Hijack Our Minds; Nicholas Carr; In The Wall Street Journal (WSJ); 2017-10-06 (paywalled).
Teaser: Research suggests that as the brain grows dependent on phone technology, the intellect weakens
tl;dr → <quote>[people] aren’t very good at distinguishing the knowledge we keep in our heads from the information we find on our phones or computers. </quote>
The Shallows: What the Internet Is Doing to Our Brains, W. W. Norton, 2011-06-08, 404 pages, ASIN:0393339750: Kindle: $9, paper: $10+SHT.
Utopia Is Creepy, and Other Provocations, W. W. Norton; 2016-09-06, 384 pages, ASIN:0393254542: kindle: 10, paper: $8+SHT.
and [many] other books
…in the boosterist and anthologized thinkpiece longread blogpost genres e.g.
The Glass Cage: How Our Computers Are Changing Us, W. W. Norton, 2015-09-08, 288 pages, ASIN:0393351637: Kindle: $9, paper: $6+SHT.
IT Matter? Information Technology and the Corrosion of Competitive Advantage, Harvard Business Review Press, 2004-04, 208 pages, ASIN:1591394449, Kindle: $20, paper: $0.01+SHT.
“available cognitive capacity”
“brain drain” (a technical term, attributed to Ward et al.)
“data is memory without history”, attributed to Cynthia Ozick.
the “Google effect,” strictly, pertains to information retrieval.
…they are bad…
Maarten Bos, staff, Disney.
Kristen Duke, staff, University of California, San Diego (UCSD).
Ayelet Gneezy, staff, University of California, San Diego (UCSD).
William James, boffo, quoted circa 1892.
Expertise: psychology, philosophy.
Honorific: pioneering .
Cynthia Ozick, self.
Trade: scrivener, dissent.
Betsy Sparrow, staff, Columbia University.
Adrian Ward, professor, marketing professor, University of Texas at Austin (UTA)
Expertise: psychology, cognitive psychology
Daniel Wegner, Harvard.
Many Unlock Events Per Day; video segment; ABC News; WHEN?.
…Where more Americans get their news than from any other source [grammar police be damned!]
Some Survey, Gallup, 2015.
tl;dr → <quote>Over 50% “can’t image” life without a cellphone.</quote>
Adrian Ward, et al. A Study. That. Shows. In Journal of Experimental Psychology. 2015. pubmed:26121498
Some Authors. Another Study. That. Shows. In Journal of Computer-Mediated Communication, 2015.
Adrian Ward (U.T. Austin), Kristen Duke, Ayelet Gneezy (UCSD), Maarten Bos (Disney). Study. That. Shows. 2015.
Adrian Ward (UTA) et al.More Study. That. Shows. In Journal of the Association for Consumer Research. 2017-04. preprint. DOI:10.1086/691462.
Some Authors (University of Southern Maine). Another Study. That. Shows. In Social Psychology. psycnet:2014-52302-001
More Authors. Yet Another Study. That. Shows. In Applied Cognitive Psychology. 2017-04. another study. DOI:10.1002/acp.3323.
tl;dr → N=160 & WEIRD (students) at the University of Arkansas at Monticello.
Even More Authors. Even More Study. That. Shows. In Labour Economics; 2016.
More Authors. More Study. That Shows. In Journal of Social and Personal Relationships. 2013. paywall. DOI:10.1177/0265407512453827.
tl;dr → N=192, WIERD (students), University of Essex in the U.K.
Betsy Sparrow (Columbia), Daniel Wegner (Harvard), et al. Authors. Yet Another Study. That. Shows. In Science (Magazine). 2011. paywall.
ahem → <ahem>it’s an implications performance.</ahem>
tl;dr → Tadayoshi et al. are virtuosos at these performance art happenings. Catchy hook, cool marketing name (ADINT) and press outreach frontrunning the actual conference venue. For the wuffie and the lulz. Nice demo tho.
and → They bought geofence campaigns in a grid. They used close-the-loop analytics to identify the sojourn trail of the target.
and → Er… don’t use Grindr.
The online advertising ecosystem is built upon the ability of advertising networks to know properties about users (e.g., their interests or physical locations) and deliver targeted ads based on those properties. Much of the privacy debate around online advertising has focused on the harvesting of these properties by the advertising networks. In this work, we explore the following question: can third-parties use the purchasing of ads to extract private information about individuals? We find that the answer is yes. For example, in a case study with an archetypal advertising network, we find that — for $1000 USD — we can track the location of individuals who are using apps served by that advertising network, as well as infer whether they are using potentially sensitive applications (e.g., certain religious or sexuality-related apps). We also conduct a broad survey of other ad networks and assess their risks to similar attacks. We then step back and explore the implications of our findings.
ADINT (a title); Some ‘bot (That Certain Robot, TCR); In BoingBoing; 2017-10-18.
tl;dr → cut & paste, merely points to the Wired piece.
<quote>data being neither intrinsically “good” nor “bad,” but rather having “qualities.”<quote>, attributed to Ted McConnell.
behaviors, drive actions.
Something allegorical about Viewability and Trust & Safety vending as a separable service of attestation, 2012 → 2017.
<quote>Viewability speaks to a broader metadata theme of trust, as well as an underlying theme of data quality and users’ engagement with content delivered against this data.</quote>
Hey! That’s not a business, that’s a Business Unit;
Hey! That’s not a BU, that’s a Product.
Hey! That’s not a Product, that’s a Feature.
<quote>Then, these vertical standalone organizations and solutions were horizontally integrated into the operating agencies as capabilities.</quote>
SafeGraph <quote>works with universities and health organizations to understand movement data and the spread of infectious diseases.</quote>
[all] device IDs are persistent
<quote>there are growing trends toward people taking control of their anonymization through the use of virtual private networks and Tor</quote>
casual consumer use of VPNs is prevalent [enough to measure]
casual consumer use of Tor is prevalent [enough to measure]
<surely>IPv6 use is prevalent,
IPv6 use is prevalent enough to warrant dual-stack interfaces on the great centralized ad exchanges.</surely>
<quote>mobile, where cookies can’t be used</quote>
<quote>that major brands may view agencies as differentiated commodity services, put their media in review with greater frequency and bid them down.</quote>
The adtech bubble is ongoing; adtech will be forward-funded on an ongoing basis:<quote><snip/> will continue to be funded with massive capital because the opportunities for innovation and disruption are huge.</quote>
integrated television and video,
integrated television and video initiatives
strategic elements of advertising campaigns.
growth of mobile.
desire for anonymity.
massive data breaches
Social Security numbers
credit card numbers
technology and services companies
to verb… with large agencies
aggressively and acquisitively execute,
continue to aggressively and acquisitively execute,
continue to aggressively and acquisitively execute on their strategies,
continue to aggressively and acquisitively execute on their strategies to deliver on
in a time of such great change,
wait for it … wait for it … the only constant is change …thank you, thank you very much, I’ll be here all week.
The Bottom Line
In a world of…
deeper understanding of consumers’ …
deeper understanding of consumers’ awareness and interests,
deeper understanding of consumers’ awareness and interests while enjoying <snip/> profitability,
deeper understanding of consumers’ awareness and interests while enjoying short- and long-term profitability,
deeper understanding of consumers’ awareness and interests while enjoying short- and long-term profitability of their brands.
delivering on this vision.
extensive data infrastructure.
deep understanding of
advertising technology ecosystems
marketing technology ecosystems
content technology ecosystems
all the ecosystems,
And across all the ecosystems
consolidation of data
standardization of data
interpretation of data
winners and losers
winners and losers will be decided.
enable massive transformation,
enable massive transformation at <snip/> lower costs.
enable massive transformation at materially lower costs.
Ross Mayfield; The Coming Tech Backlash; In That Certain Blog at possibly entitled Shift (too much cobranding), sponsored by Newco, but centrally hosted at Medium; 2017-01-03.
Teaser: Tech innovation is killing jobs, not foreign scapegoats, and revolt after Trump will be Luddite
Summary: The tech industry played an influential role in the outcome of the US Presidential election. Not just in providing the medium for Fake News and propaganda. The root cause is job destruction by Automation — that drove a base of dissatisfied rust-belt voters to support Trump. Job destruction is accelerating, and if Tech doesn’t get ahead of this problem, there will be a significant populist backlash against the industry and it’s ability to progress.
Ross Mayfield is CEO & Co-founder, Pingpad; ex-LinkedIn, SlideShare, Socialtext, RateXchange.
tl;dr → The future is foretold. The hipster socialism. A startup is promoted. Robots bad. Need Jobs for the unpublished classes. the lede is buried. The working classes need Slack addon, Pingpad, that create jobs; a bot-augmented wiki knowledge base.
tl;dr → Google Bad. They change their indexing; publishers beholden to search-generated traffic sourcing schemes are affected.
and → <quote>The New York Times could not find the same level of traffic declines at all of those publications, based on data from SimilarWeb</quote> <ahem>then why write the article about a non-event?</ahem>
The New York Times (NYT) is not able to replicate or validate the claims of traffic falloff.
<quote>The New York Times could not find the same level of traffic declines at all of those publications, based on data from SimilarWeb, a web analytics firm. </quote>
Michael Bertini, expert, iQuanti.
iQuanti is a marketing agency.