🚨New working paper alert!🚨
THREAD: Post-#GDPR, website use of web tech vendors falls 15% but relative concentration increases 17%.

"Privacy & market concentration: Intended & unintended consequences of the GDPR” w/ Scott Shriver
ssrn.com/abstract=34776…
(Image: Digiday) 1/ Image
Privacy and competition top today’s policy agenda—particularly in web tech which relies on permissive privacy practices and where big companies like Google & Facebook have large market share.

But, could #privacy policy actually reduce #competition ? 2/ Image
How? Large firms could have more resources to comply with the law or leverage firm recognition to better obtain consumer consent. We add that potential B2B partners could favor large firms if 1) they offer a superior product; or 2) they better comply with the law. 3/
Data minimization is a key principle of #GDPR & its many elements incentivize this by increasing cost of personal data to business. So, when firms limit B2B data vendors to comply, do firms favour the big or the little vendors?
4/ Image
We examine the web tech vendors used by 27K top sites over 2018. We identify site-vendor ties by vendor's 3rd party domain interactions (e.g. cookies) when visiting the site.
Example:
google-analytics.com ->Google Analytics
demdex.net ->Adobe Audience Manager 5/ Image
We find that find that sites use 15% fewer vendors on average *one week* post-#GDPR. These compliance gains are short lived: by the end of 2018, average web tech vendor use returns to pre-GDPR levels. 6/ Image
Breaking vendors by purpose, we see that each falls but "privacy compliance” vendors (makes sense).

We focus on 1 week post- vs pre-GDPR comparison where #GDPR effect is largest, because regulator signalled intent to clamp down on sector in 2020. 7/ ImageImage
So, do large vendors get a bigger share of the smaller pie?
- Overall, relative concentration in web tech rises 17%.
- So does top 4 web tech categories (*94% of data*).
- But, some niche categories are exceptions. 8/ ImageImage
Why? 1st, we see more concentration among vendors that likely use personal data, which the #GDPR targets. So, the pool of online personal data shrinks & becomes more concentrated in hands of large vendor. If this data creates value, this could further entrench large vendors. 9/ Image
2nd, The #GDPR’s consent requirement may push publishers to work fewer vendors & large, recognizable vendors. But, increase in concentration is about the same for sites that do/don’t get consent. This makes sense: publishers often bury vendor list under “more options”. 10/ ImageImage
3rd, Google’s many vendors & Facebook play a key role: sites retain these over competitors post-GDPR at high rates. Without the Big 2, relative concentration actually *falls* post-#GDPR. Still, Google & Facebook's *absolute* share of sites falls post-GDPR. 11/ Image
*This does not imply* GDPR or privacy policy are bad. But, understanding #GDPR's intended & unintended consequences can improve regulation & policy. #GPDR does not always increase concentration here, but it does in aggregate & for top web tech categories. (Image: Vox) 12/ Image
*This does not imply* Google & Facebook are bad either. Big 2 are better on a relative basis, but worse on an absolute basis. Concentration appears to result from site choices. If large vendors have better products or better compliance (good things), sites could favor them. 13/13 Image
FAQ: Why focus on short run?
The evolutions of relative concentration and vendors mirror each other in 2018.
Short run estimates have most signal & may better indicate industry under future enforcement because EU regulators signalled they will intervene in web technology. ImageImage

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More from @garjoh_canuck

21 Oct
Today, I spoke at the W3C improving web advertising business group about the economics of digital ad identity. Thread🧵 on some takeaways on the future of digital ads. 1/
Cross-site identity (via cookies) allows for behavioral targeting. Importantly, identity allows for less sexy but *critical* functions like ad frequency capping, ad effectiveness measurement & attribution—all at scale. 2/
What is the value of cookies? In the status quo, most studies and data agree that cookies create value: ads get 50-70% less revenue without cookies. 3/
Read 8 tweets
21 Apr
🔥👿🔥 New working paper alert! 🔥👿🔥
"Inferno: A guide to field experiments in online display advertising"
ssrn.com/abstract=35813…

THREAD: This guide reviews challenges & solutions from a decade of research.
#marketingacad #econtwitter #fieldexperiments Image
“Abandon all hope, ye who enter here” - Dante’s Inferno👿
Online display ad experiments are hell. They are also a proving ground for field experimenters, & have much to teach us. The guide is organized into the nine 9 circles of 🔥hell🔥 as applied to #displayad #fieldexperiments Image
🔥Circle 1🔥 Display ad effects are so small🤏 that observational methods fail🤦‍♀️. Ad effects explain so little variation in ad outcomes, that they get swamped🌊 by unobserved confounds. Like Dante entering the inferno👿, we resign ourselves to the necessity of experiments.😭😭 Image
Read 11 tweets
12 Nov 19
The @guardian featured an opinion piece about how the #GDPR is failing to protect privacy.
The piece serves as an unintentional object lesson of the same. THREAD 1/
theguardian.com/commentisfree/…
Here is the excerpt where the author decries prevailing opt-out practices alongside the Guardian’s consent menu doing the same.
Note: The @ICOnews states that this menu is not #GDPR compliant (“NO" should be as easy as "YES"). 2/
When I VPN as a French user The Guardian interacts with 42 third party domains (listed below) and loads 122 third party cookies.
Note: All this arises without my opt-in consent. 3/
Read 7 tweets
28 Aug 19
Google just released a more details about the study showing *publisher revenue* falls 52% without a cookie. They run an experiment disabling cookies for a random sample of users on Google Ad Manager's top 500 publishers in terms of programmatic revenue. 1/
services.google.com/fh/files/misc/…
Now, we see that results vary by publisher (below). While the average publisher’s revenue falls by 52%, the median is 64%. Very few publishers see a loss less than 20% while a large number experience losses exceeding 70% (!). 2/
Despite precise aggregate estimates (95% CI <1%), the individual site estimates are statistically imprecise for smaller sites. Focusing on the top 200 sites reveals less dispersion. Now, only a 1 of 200 sites loses less than 10% of revenue. 3/
Read 5 tweets

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