Thread explaining FLEDGE (formerly TURTLEDOVE).
Online advertising generates value for publishers, advertisers, & users. Now, Google & others are proposing alternatives that preserve this value while better protecting user privacy under the "Privacy Sandbox" proposals. 1/12
The public discussion of #PrivacySandbox is dominated by #FLoC, but many tech solutions are required to satisfy advertising use cases while protecting privacy. In particular, #FLEDGE propose more fundamental & interesting changes to the status quo. 2/
The key to FLEDGE is to move user targeting information onto the *browser*, rather than broadcasting a cookie ID to the adtech ecosystem so advertisers can bid on ad opportunities based on what they know about that cookie ID. The prototypical FLEDGE use-case is retargeting. 3/
Example: When a user visits Macy's site, Macy’s can add that user to an *interest group* (IG) on the browser. Macy’s can then (re)target users who visited its site: the set of users with Macy’s IG in their browser. The IG also specifies the ads Macy’s wants to show the user. 4/
Any site could set up an interest group. Consider a mattress review site: It could create an interest group and sell the opportunity for mattress manufacturers to show ads to users who are in the market for a mattress. This is affiliate marketing. 5/
To preserve user privacy while allowing targeted ads, the user’s browser runs an on-device ad auction. As inputs, the browser knows the set of eligible advertisers from the user’s interest group membership as well as info like the user’s ad frequency count. 6/
Where does the seller (the publisher) fit? The seller specifies the auction rules and lists eligible advertisers, which tells the browser how to choose a winning ad. This has the knock-on benefit of potentially codifying what can otherwise be an opaque process. 7/
Where does the buyer (advertiser) fit? The buyer already specified its bidding strategy and ad creatives in the interest group. 8/
But campaigns change, so how can buyers prevent zombie🧟 interest group ad campaigns from emptying their wallets? The buyer loads real-time elements of its bidding strategy onto a (trusted) server, which in turn tells the on-device auction how to bid (or stop bidding!). 9/
The on-device auction then has all it needs to: 1) select a well-targeted ad based on the user’s browsing 2) allow sellers to optimize revenue 3) allow buyers to bid intelligently.
Voilà, a new ad is born on the user’s device (not an external ad exchange)! 10/
Why so convoluted? FLEDGE does not want the publisher or advertiser to know the ad chosen by the browser (!!), because this reveals the user’s cross-site behaviour: e.g the user visited Macy’s then the publisher's site. 11/
To do so, FLEDGE proposes to eventually render the ad within a data firewall called a “fenced frame.” In the interim, FLEDGE allows ad-level reporting, but this will eventually be rolled up so that buyer/seller see total ad spend/revenue but not who sees what ad.
END/ 🐦🦆🦢🦜🏸
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🇮🇹Journeyed to Milan for a marketing conference hosted by @Unibocconi 🇮🇹
A 🧵…
First up, Sonja Gensler documents welfare harms of German regulations capping days for AirBnB hosts. This restricts supply, but the good news 😂 is that non-compliance blunts the welfare harm. Marginal effect on long-term rental prices: the intended benefit of the policy…
@michielvancromb introduces a new research agenda on the “Spotify-ification” of the video game industry: consumers increasingly subscribe to a bundle of games, with profound consequences for the market. (And 3 papers!!!)
What is the impact of strict #privacy regulation on content supply and demand?
In Sept 2019, YouTube paid a record $170M to settle charges it violated children’s privacy law (#COPPA). We use this to study the "privacy-for-content" tradeoff. 1/11
Beginning Jan 2020, YouTube identified kids content and eliminated all related personalization including: personalized ads, search, content recommendations, & commenting.
This matches FTC's proposed rules to strengthen COPPA announced yesterday: 2/ bit.ly/3RMARdf
YouTube creators worried these changes amounted to the "COPPAcalypse."
We study 5,066 top U.S. YouTube channels by comparing child-directed content creators to their non-child-directed counterparts using a difference-in-differences design. 3/
We study the "privacy-for-content" tradeoff using the 2019 YouTube COPPA settlement.
"COPPAcalypse? The YouTube settlement’s impact on kids content” w/ @TesaryLin, James Cooper, & Liang Zhong
➡️ ssrn.com/abstract=44303… 1/9
Data sharing increases ad revenue, which pays for free content, & helps personalize websites to better find the content we want. On the other hand, people want more privacy online: especially for kids.
The YouTube settlement shows the consequences of strict privacy regulation. 2/
In Sept. 2019, YouTube paid a record $170M to settle charges it violated children’s privacy law (COPPA). Beginning Jan. 2020, YouTube identified kids content and eliminated all related personalization including: personalized ads, search, content recommendations, & commenting. 3/
Regulators & researchers seek to balance privacy & the data economy. The EU’s #GDPR is a landmark & influential regulation that defines personal data expansively. GDPR establishes:
-rules for data processing,
-rights for EU residents,
-responsibilities for firms, &
-BIG fines. 2/
#GDPR is hard to study:
A) Finding a suitable control group is hard because the GDPR had global spillovers. E.g., it affects EU firms & non-EU firms serving EU residents.
B) GDPR can screw with personal data: e.g., you may only see data from consenting users. 3/
🧵Explainer for the Topics API 🧵
Google announced the Topics API for Privacy Sandbox🏖️. Topics is basically FLoC v2.0. Google is deftly replacing FLoC v1 with a more anodyne technology and name...
Details: developer.chrome.com/docs/privacy-s… 1/8
Topics allows for interest-based ads without 3rd party cookies. Most research, including our own, shows ad prices are 2-3X higher with cookies.
Put concretely: Interest-based ads help fund content that is socially valuable, but uninteresting to advertisers. 2/
In Topics, the browser classifies begins by classifying the sites that users visit into topics from a list of ~350 readable & benign topics like cats🐈 or hockey🏒.
To do so, sites must opt in and users can opt out. 3/
🧵We recently released a big update to our working paper examining how the #GDPR affected the site traffic💻 & ecommerce revenue💶 of EU users. (w/ @samgarvingold & Scott Shriver) 1/11 ssrn.com/abstract=34217… (image: Digiday)
We partnered with @Adobe to study the GDPR’s impact on EU users across 1,084 firm site analytics dashboards. Our data contain 77 of the top 1K sites & >700 long tail sites below the top 100K. We see >$0.75 billion in EU spending and 4.4 billion EU pageviews in total per week. 2/
We observe rich site outcomes in Adobe data. But, after the GDPR, we stop observing data from non-consenting users. If recorded site traffic falls post-GDPR, we want to know:
A) how much did GDPR hurt real outcomes of websites?
B) how much did consent limit data recording? 3/