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Ad networks, consumer tracking, and privacy
Florence, March 25th 2017
EUI Media Conference 2017
Anna D’Annunzio
Telenor Research
Antonio Russo
ETH Zurich
Ad networks
β€’ Digital publishers can outsource sale of ads to ad networks
β€’ Google ad network (AdSense) reaches:
β€’ ~40% of (Alexa) top 500 sites (Roesner et al., 2012)
β€’ ~94% of total internet audience (Comscore, 2016)
2
Publisher 1
Publisher 2
AN Advertisers
Tracking and multi-homing
β€’ Advertisers and consumers multi-home
β€’ Consumers spread attention over several websites
β€’ Problem: no tracking across publishers, higher chance of
repeated impressions
β€’ Ad inventories lose value with multi-homing (Ambrus et
al., 2016)
β€’ Ad networks:
β€’ Centralize sale of ads, internalize external effects due to
multi-homing
β€’ Track consumers across publishers, reduce repetition 3
Privacy and tracking
β€’ Some consumers see tracking as a violation of their privacy
β€’ 84% of U.S. respondents does not want advertising tailored on
their behavior on the internet (Turow et al., 2009)
β€’ A variety of techniques allows consumers to avoid being
tracked (e.g. browser plug-ins, anonymizing apps)
β€’ Idea: model the between link privacy preferences, tracking
and advertising market
β€’ EU and US authorities are discussing do-not-track policies
β€’ E.g., FTC β€œdo not track proposal”
4
5
Research questions
β€’ What is the role of ad networks in the online advertising
market?
β€’ How does tracking affect the supply of ads?
β€’ Does supply of ads increase with an ad network compared
to the case where publishers compete?
β€’ Which privacy policy is desirable when the effects on the
advertising market are considered?
β€’ Effect of tracking and consumers’ choice to block it on
welfare and consumer surplus
β€’ Market failures and regulation
6
Previous literature
β€’ Analysis on supply of ads with single-homing
consumers: Anderson and Coate, 2005
β€’ Multi-homing consumers: Ambrus et al., 2016;
Anderson et al., forthcoming; Athey et al., forthcoming
β€’ We add tracking by ad networks and privacy-related
choices
β€’ Targeting and ad-avoidance: Johnson, 2013
β€’ Ad-avoidance β‰  cookies blocking
β€’ Advertising and privacy regulation: Campbell et al.,
2015; Goldfarb and Tucker, 2011
β€’ No effect on supply of ads and no welfare analysis
Model overview
β€’ Publishers: free for consumers and advertising-financed
β€’ Ad network can track consumers
β€’ Two scenarios:
β€’ Outsourcing to AN
β€’ Competition among publishers without AN
7
Publisher 1
Publisher 2
ANConsumers Advertisers
Consumers
β€’ Unit mass, 𝑒", 𝑒$ ~β„Ž 𝑒", 𝑒$ 	
𝐷"$ = π‘ƒπ‘Ÿ 𝑒" βˆ’ π›Ώπ‘ž" β‰₯ 0; 𝑒$ βˆ’ π›Ώπ‘ž$ β‰₯ 0 																									
𝐷2 = π‘ƒπ‘Ÿ 𝑒2 βˆ’ π›Ώπ‘ž2 β‰₯ 0; 𝑒3 βˆ’ π›Ώπ‘ž3 < 0 	𝑖, 𝑗 = 1,2; 𝑖 β‰  𝑗
𝐷: = 1 βˆ’ 𝐷" βˆ’ 𝐷$ βˆ’ 𝐷"$																																																					
π‘ž2: ad level on 𝑖; 𝛿: nuisance cost of ads
β€’ Property:
;<=>
;?@
< 0;
;<=>
;?@
= βˆ’
;<A
;?@
β€’ Also: consumers choose to block/allow tracking (e.g. third
party cookies)
β€’ I will discuss this in the second part
8
9
Advertisers
β€’ Unit mass, homogeneous
β€’ Advertiser surplus: 𝐷" π‘Ÿ" + 𝐷$ π‘Ÿ$ + 𝐷"$ π‘Ÿ"$
C
β€’ Normalize return from informing a consumer to 1
β€’ π‘Ÿ2 π‘š2 : prob. informing a SH (π‘Ÿ2
E
> 0, π‘Ÿ2
EE
< 0)
β€’ π‘Ÿ"$
C
π‘š", π‘š$, 𝛽 : prob. informing a MH
;H=>
I
;J@
> 0,
;>H=>
I
;J@
> < 0,
;>H=>
I
;J@ ;JA
< 0
β€’ 𝛽: cross-publishers tracking effectiveness
;H=>
I
;K
> 0 and
;>H=>
I
;?@ ;K
> 0
10
Timing
0. Ad Network deals with publishers (outsourcing of ad
inventory)
1. Publishers choose ad level π‘ž2.	
2. Consumers choose whether to block tracking which
publisher to visit
3. AN sells impressions to the advertisers
4. Consumers get utility, get informed, payoffs realized
11
Ad network: contracts
β€’ Advertisers:
β€’ Ad network unique gatekeeper to consumers
β€’ Offer to each advertiser π‘š", π‘š$ impressions per consumer
[at eq. π‘š2 = π‘ž2], in exchange for lump-sum transfer 𝑝NO
𝑝NO = π‘Ÿ" 𝐷" + π‘Ÿ$ 𝐷$ + π‘Ÿ"$
C
𝐷"$
β€’ Publishers
β€’ AN acquires right to sell ad inventory of publisher i, offers
per impression price π‘₯2 π‘ž2
β€’ In equilibrium, π‘ž2
NC
: π‘šπ‘Žπ‘₯ ?@,?A
𝑝NO
Effect of tracking on advertising	levels
β€’ Assuming symmetry:
πœ•π‘ž2
NC
πœ•π›½
> 0 ⟺ 𝐷"$
πœ•$
π‘Ÿ"$
C
πœ•π‘ž2 πœ•π›½
+
πœ•π·"$
πœ•π‘ž2
πœ•π‘Ÿ"$
C
πœ•π›½
> 0
β€’ 𝐷"$
;>H=>
I
;?@;K
> 0: tracking increases revenues on infra-marginal
multi-homers
β€’
;<=>
;?@
;H=>
I
;K
< 0: tracking increases opportunity cost of losing
marginal multi-homer (
;<=>
;?@
< 0 and
;H=>
I
;K
> 0)
12
13
Competing publishers, no outsourcing
β€’ Differences wrt AN model:
β€’ Revenue per MH changes without tracking (𝛽 = 0)
π‘Ÿ"$
C
> π‘Ÿ"$
_C
> 0																												
;H=>
I
;?@
>
;H=>
`I
;?@
> 0
β€’ Publishers offer contracts 𝑝2, π‘ž2
𝑝2 = π‘Ÿ2 𝐷2 + π‘Ÿ3 𝐷3 + π‘Ÿ"$
_C
𝐷"$ βˆ’ π‘Ÿ3 𝐷3 + π‘ŸΜ‚3 𝐷"$
=	 π‘Ÿ2 𝐷2 + π‘Ÿ"$
_C
βˆ’ π‘ŸΜ‚3 𝐷"$						𝑖 = 1,2
β€’ Publishers decide ad levels π‘ž2
b
: π‘šπ‘Žπ‘₯?@
𝑝2
Total advertiser surplus Advertiser surplus on 𝑗
Value SH Incremental value MH
Competition Vs AN
β€’ π‘ž2
NC
> π‘ž2
b
iff
𝐷"$
πœ•π‘Ÿ"$
C
πœ•π‘ž2
βˆ’
πœ•π‘Ÿ"$
_C
πœ•π‘ž2
+
πœ•π·"$
πœ•π‘ž2
π‘Ÿ"$
C
βˆ’ π‘Ÿ"$
_C
+ π‘ŸΜ‚3 βˆ’ π‘Ÿ3 c
?@d?@
e
,2d",$
> 0
β€’ Tracking increases MR on infra-marginal MHs and increases
opportunity cost of losing marginal MH
β€’ Joint control:
β€’ opportunity cost for AN of marginal ad on 𝑖: π‘Ÿ"$
f
βˆ’ π‘Ÿ3
β€’ opportunity cost for publisher 𝑖 : π‘Ÿ"$
f
βˆ’ π‘ŸΜ‚3
Tracking effect Joint control effect
14
Consumers’ blocking choice
β€’ Disutility from being tracked: πœƒ~𝐹 0, πœƒΜ… , πœƒ βŠ₯ 𝑒2, 𝑒3
β€’ Consumers block iff πœƒ β‰₯ 𝑐 (cost of blocking)
β€’ AN’s ability to track determined by consumers
β€’ share of consumers tracked (i.e. not blocking) is 𝛽
β€’ Privacy has only intrinsic value (Acquisti et al. 2014)
β€’ Extension: blocking affects disutility from ads (privacy
intermediate good)
15
Welfare
β€’ π‘Š = 𝐢𝑆o βˆ’ 𝐢𝑆p + 𝐴𝑆
β€’ Consumer surplus from content 𝐢𝑆o:
βˆ‘ ∫ ∫ 𝑒2 βˆ’ π›Ώπ‘ž2 β„Ž 𝑒2, 𝑒3 𝑑𝑒2 𝑑𝑒3
u?A
:
v
u?@
2 + ∫ ∫ x𝑒2 βˆ’
v
u?A
v
u?@
π›Ώπ‘ž2 + 𝑒3 βˆ’ π›Ώπ‘ž3yβ„Ž 𝑒2, 𝑒3 𝑑 𝑒2 𝑑𝑒3
β€’ Disutility privacy loss 𝐢𝑆p:
z πœƒπ‘“ πœƒ π‘‘πœƒ
K
:
+ 1 βˆ’ 𝛽 𝑐
β€’ Advertiser surplus 𝐴𝑆: 𝐷" π‘Ÿ" + 𝐷$ π‘Ÿ$ + 𝐷"$ π‘Ÿ"$
C
16
Second best (SB) tracking
β€’ Regulator controls the tracking, publishers decide ad levels
πœ•π‘Š
πœ•π›½
= βˆ’
πœ•πΆπ‘†p
πœ•π›½
+
πœ•πΆπ‘†o
πœ•π‘ž2
πœ•π‘ž2
NC
πœ•π›½
+
πœ•πΆπ‘†o
πœ•π‘ž3
πœ•π‘ž3
NC
πœ•π›½
+
πœ•π΄π‘†
πœ•π›½
= 0
β€’ Tracking at equilibrium may be too low compared to SB
β€’ Always the case if
;?@
|I
;K
< 0
β€’ Tracking may be too low even if objective is consumer
surplus
17
Externality on other
consumers
Externality on
advertisers
Internalized
βˆ’ βˆ’ +Β± Β±
Policy implications
β€’ Promoting cookies blocking (e.g. FTC’s β€œdo not track”) may
not be beneficial for welfare and not even for consumers
β€’ It may be desirable
β€’ to reduce consumers’ disutility from being tracked (e.g.,
forbid intrusive third-party cookies)
β€’ to increase perceived cost of blocking tracking (e.g., opt-out)
β€’ Reducing disutility from being tracked or cost of blocking
reduce the net disutility from privacy losses 𝐢𝑆p …
β€’ … but have opposite effects on advertising market
18
19
Conclusion
β€’ More efficient tracking technologies by ad networks may
reduce the advertising consumers are exposed online
β€’ Policy-makers should consider the effect on the supply of
ads when designing digital privacy regulation
β€’ Encouraging the use of tools that prevent firms from
collecting data about consumers to deliver advertising
may have adverse effects on both consumers and society
Extension: privacy as intermediate good
β€’ Farrell (2012): privacy is a final and an intermediate good
β€’ Consumers’ choice to block cookies change the ads they
see, hence their disutility from advertising
β€’ Formally:
β€’
βˆ’ 𝛿 βˆ’ 𝑧 π‘ž2 βˆ’ πœƒ	if	not	block	cookies
βˆ’ 𝛿 π‘ž2 βˆ’ 𝑐		if	block	cookies
β€’ The marginal multi-homer blocking cookies depend on π‘ž2
β€’ Preliminary analysis: results of the main model confirmed
20
Welfare analysis
β€’ Effect of AN
β€’ If π‘ž2
NC
< π‘ž2
b
	consumer and advertiser surplus are higher when
advertising is outsourced
β€’ Otherwise, conflicting interests: consumer surplus is higher
when publishers compete directly, and advertiser surplus
lower
21
Micro-foundation (1/4)
β€’ Interpretation: an advertiser buys ads to reach most
interested consumers
β€’ 𝑁 advertisers, each two ad messages
β€’ Informing a consumer is worth:
β€’ first message 1 (mainstream product)
β€’ second message 𝑦 < 1 (e.g., niche product)
β€’ π‘₯2
Λ†
: probability a consumer registers an ad by advertiser π‘Ž
when exposed to it on publisher 𝑖 = 1,2
β€’ π‘₯2
Λ†
~π‘ˆ 0,1 : i.i.d. for all consumers, publishers, advertisers
β€’ Assumption: each advertiser buys at most one impression
on a consumer on a given publisher
22
Micro-foundation (2/4)
β€’ Publishers send ads to consumers with largest π‘₯2
Λ†
β€’ Advertiser π‘Ž buys π‘š2
Λ†
ad impressions on 𝑖
π‘š2
Λ†
= 1 βˆ’ π‘₯Μ…2
Λ†
𝐷2 + 𝐷"$
π‘₯Μ…2
Λ†
: consumer with higher π‘₯2
Λ†
receives an ad on 𝑖 from π‘Ž
Perfect internal tracking: no repeated internal impressions
β€’ Hence:
π‘₯Μ…2
Λ†
= 1 βˆ’
π‘š2
Λ†
𝐷2 + 𝐷"$
β€’ Expected prob. consumer on 𝑖 registers an ad by π‘Ž:
z π‘₯𝑑π‘₯
"
Ε Μ…@
β€Ή
=
1
2
1 βˆ’ π‘₯Μ…2
Λ† $
23
Micro-foundation (3/4)
β€’ Revenues from SH:
π‘Ÿ2
Λ†
= 𝐷2 𝛼2 z π‘₯𝑑π‘₯
"
Ε Μ…@
β€Ή
+ 𝐷"$ 𝛾2 z π‘₯𝑑π‘₯
"
Ε Μ…@
β€Ή
𝛼2 (resp., 𝛾2) probability that a SH (resp., MH) watches an ad
when impressed on 𝑖
β€’ Revenues from MH without tracking:
π‘Ÿ"$
Λ†_OC
= 𝐷" 𝛼" z π‘₯𝑑π‘₯
"
Ε Μ…=
β€Ή
+ 𝐷$ 𝛼$ z π‘₯𝑑π‘₯
"
Ε Μ…>
β€Ή
+ 𝐷"$ 𝛾" z π‘₯𝑑π‘₯
"
Ε Μ…=
β€Ή
+ 𝛾$ z π‘₯𝑑π‘₯
"
Ε Μ…>
β€Ή
βˆ’ 𝛾" z π‘₯𝑑π‘₯
"
Ε Μ…=
β€Ή
𝛾$ z π‘₯𝑑π‘₯
"
Ε Μ…>
β€Ή
24
Micro-foundation (4/4)
β€’ Revenues from MH with tracking:
β€’ AN observes π‘₯2
Λ†
for a consumer, and decides whether to
impress her. Next, AN observes with prob. 𝛽 whether the
selected consumer has already been informed by π‘Ž's
message on 𝑗. Then, AN decides whether to send the first or
the second message from π‘Ž
π‘Ÿ"$
Λ†_C
= 𝐷" 𝛼" z π‘₯𝑑π‘₯
"
Ε Μ…=
β€Ή
+ 𝐷$ 𝛼$ z π‘₯𝑑π‘₯
"
Ε Μ…>
β€Ή
+ 𝐷"$ 𝛾" z π‘₯𝑑π‘₯
"
Ε Μ…=
β€Ή
+ 𝛾$ z π‘₯𝑑π‘₯
"
Ε Μ…>
β€Ή
βˆ’ 𝛾" z π‘₯𝑑π‘₯
"
Ε Μ…=
β€Ή
𝛾$ z π‘₯𝑑π‘₯
"
Ε Μ…>
β€Ή
+ 𝐷"$ 𝛽𝑦 𝛾" z π‘₯𝑑π‘₯
"
Ε Μ…β€Ή
𝛾$ z π‘₯𝑑π‘₯
"
Ε Μ…β€Ή
25

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Russo scientific seminar 2017

  • 1. 1 Ad networks, consumer tracking, and privacy Florence, March 25th 2017 EUI Media Conference 2017 Anna D’Annunzio Telenor Research Antonio Russo ETH Zurich
  • 2. Ad networks β€’ Digital publishers can outsource sale of ads to ad networks β€’ Google ad network (AdSense) reaches: β€’ ~40% of (Alexa) top 500 sites (Roesner et al., 2012) β€’ ~94% of total internet audience (Comscore, 2016) 2 Publisher 1 Publisher 2 AN Advertisers
  • 3. Tracking and multi-homing β€’ Advertisers and consumers multi-home β€’ Consumers spread attention over several websites β€’ Problem: no tracking across publishers, higher chance of repeated impressions β€’ Ad inventories lose value with multi-homing (Ambrus et al., 2016) β€’ Ad networks: β€’ Centralize sale of ads, internalize external effects due to multi-homing β€’ Track consumers across publishers, reduce repetition 3
  • 4. Privacy and tracking β€’ Some consumers see tracking as a violation of their privacy β€’ 84% of U.S. respondents does not want advertising tailored on their behavior on the internet (Turow et al., 2009) β€’ A variety of techniques allows consumers to avoid being tracked (e.g. browser plug-ins, anonymizing apps) β€’ Idea: model the between link privacy preferences, tracking and advertising market β€’ EU and US authorities are discussing do-not-track policies β€’ E.g., FTC β€œdo not track proposal” 4
  • 5. 5 Research questions β€’ What is the role of ad networks in the online advertising market? β€’ How does tracking affect the supply of ads? β€’ Does supply of ads increase with an ad network compared to the case where publishers compete? β€’ Which privacy policy is desirable when the effects on the advertising market are considered? β€’ Effect of tracking and consumers’ choice to block it on welfare and consumer surplus β€’ Market failures and regulation
  • 6. 6 Previous literature β€’ Analysis on supply of ads with single-homing consumers: Anderson and Coate, 2005 β€’ Multi-homing consumers: Ambrus et al., 2016; Anderson et al., forthcoming; Athey et al., forthcoming β€’ We add tracking by ad networks and privacy-related choices β€’ Targeting and ad-avoidance: Johnson, 2013 β€’ Ad-avoidance β‰  cookies blocking β€’ Advertising and privacy regulation: Campbell et al., 2015; Goldfarb and Tucker, 2011 β€’ No effect on supply of ads and no welfare analysis
  • 7. Model overview β€’ Publishers: free for consumers and advertising-financed β€’ Ad network can track consumers β€’ Two scenarios: β€’ Outsourcing to AN β€’ Competition among publishers without AN 7 Publisher 1 Publisher 2 ANConsumers Advertisers
  • 8. Consumers β€’ Unit mass, 𝑒", 𝑒$ ~β„Ž 𝑒", 𝑒$ 𝐷"$ = π‘ƒπ‘Ÿ 𝑒" βˆ’ π›Ώπ‘ž" β‰₯ 0; 𝑒$ βˆ’ π›Ώπ‘ž$ β‰₯ 0 𝐷2 = π‘ƒπ‘Ÿ 𝑒2 βˆ’ π›Ώπ‘ž2 β‰₯ 0; 𝑒3 βˆ’ π›Ώπ‘ž3 < 0 𝑖, 𝑗 = 1,2; 𝑖 β‰  𝑗 𝐷: = 1 βˆ’ 𝐷" βˆ’ 𝐷$ βˆ’ 𝐷"$ π‘ž2: ad level on 𝑖; 𝛿: nuisance cost of ads β€’ Property: ;<=> ;?@ < 0; ;<=> ;?@ = βˆ’ ;<A ;?@ β€’ Also: consumers choose to block/allow tracking (e.g. third party cookies) β€’ I will discuss this in the second part 8
  • 9. 9 Advertisers β€’ Unit mass, homogeneous β€’ Advertiser surplus: 𝐷" π‘Ÿ" + 𝐷$ π‘Ÿ$ + 𝐷"$ π‘Ÿ"$ C β€’ Normalize return from informing a consumer to 1 β€’ π‘Ÿ2 π‘š2 : prob. informing a SH (π‘Ÿ2 E > 0, π‘Ÿ2 EE < 0) β€’ π‘Ÿ"$ C π‘š", π‘š$, 𝛽 : prob. informing a MH ;H=> I ;J@ > 0, ;>H=> I ;J@ > < 0, ;>H=> I ;J@ ;JA < 0 β€’ 𝛽: cross-publishers tracking effectiveness ;H=> I ;K > 0 and ;>H=> I ;?@ ;K > 0
  • 10. 10 Timing 0. Ad Network deals with publishers (outsourcing of ad inventory) 1. Publishers choose ad level π‘ž2. 2. Consumers choose whether to block tracking which publisher to visit 3. AN sells impressions to the advertisers 4. Consumers get utility, get informed, payoffs realized
  • 11. 11 Ad network: contracts β€’ Advertisers: β€’ Ad network unique gatekeeper to consumers β€’ Offer to each advertiser π‘š", π‘š$ impressions per consumer [at eq. π‘š2 = π‘ž2], in exchange for lump-sum transfer 𝑝NO 𝑝NO = π‘Ÿ" 𝐷" + π‘Ÿ$ 𝐷$ + π‘Ÿ"$ C 𝐷"$ β€’ Publishers β€’ AN acquires right to sell ad inventory of publisher i, offers per impression price π‘₯2 π‘ž2 β€’ In equilibrium, π‘ž2 NC : π‘šπ‘Žπ‘₯ ?@,?A 𝑝NO
  • 12. Effect of tracking on advertising levels β€’ Assuming symmetry: πœ•π‘ž2 NC πœ•π›½ > 0 ⟺ 𝐷"$ πœ•$ π‘Ÿ"$ C πœ•π‘ž2 πœ•π›½ + πœ•π·"$ πœ•π‘ž2 πœ•π‘Ÿ"$ C πœ•π›½ > 0 β€’ 𝐷"$ ;>H=> I ;?@;K > 0: tracking increases revenues on infra-marginal multi-homers β€’ ;<=> ;?@ ;H=> I ;K < 0: tracking increases opportunity cost of losing marginal multi-homer ( ;<=> ;?@ < 0 and ;H=> I ;K > 0) 12
  • 13. 13 Competing publishers, no outsourcing β€’ Differences wrt AN model: β€’ Revenue per MH changes without tracking (𝛽 = 0) π‘Ÿ"$ C > π‘Ÿ"$ _C > 0 ;H=> I ;?@ > ;H=> `I ;?@ > 0 β€’ Publishers offer contracts 𝑝2, π‘ž2 𝑝2 = π‘Ÿ2 𝐷2 + π‘Ÿ3 𝐷3 + π‘Ÿ"$ _C 𝐷"$ βˆ’ π‘Ÿ3 𝐷3 + π‘ŸΜ‚3 𝐷"$ = π‘Ÿ2 𝐷2 + π‘Ÿ"$ _C βˆ’ π‘ŸΜ‚3 𝐷"$ 𝑖 = 1,2 β€’ Publishers decide ad levels π‘ž2 b : π‘šπ‘Žπ‘₯?@ 𝑝2 Total advertiser surplus Advertiser surplus on 𝑗 Value SH Incremental value MH
  • 14. Competition Vs AN β€’ π‘ž2 NC > π‘ž2 b iff 𝐷"$ πœ•π‘Ÿ"$ C πœ•π‘ž2 βˆ’ πœ•π‘Ÿ"$ _C πœ•π‘ž2 + πœ•π·"$ πœ•π‘ž2 π‘Ÿ"$ C βˆ’ π‘Ÿ"$ _C + π‘ŸΜ‚3 βˆ’ π‘Ÿ3 c ?@d?@ e ,2d",$ > 0 β€’ Tracking increases MR on infra-marginal MHs and increases opportunity cost of losing marginal MH β€’ Joint control: β€’ opportunity cost for AN of marginal ad on 𝑖: π‘Ÿ"$ f βˆ’ π‘Ÿ3 β€’ opportunity cost for publisher 𝑖 : π‘Ÿ"$ f βˆ’ π‘ŸΜ‚3 Tracking effect Joint control effect 14
  • 15. Consumers’ blocking choice β€’ Disutility from being tracked: πœƒ~𝐹 0, πœƒΜ… , πœƒ βŠ₯ 𝑒2, 𝑒3 β€’ Consumers block iff πœƒ β‰₯ 𝑐 (cost of blocking) β€’ AN’s ability to track determined by consumers β€’ share of consumers tracked (i.e. not blocking) is 𝛽 β€’ Privacy has only intrinsic value (Acquisti et al. 2014) β€’ Extension: blocking affects disutility from ads (privacy intermediate good) 15
  • 16. Welfare β€’ π‘Š = 𝐢𝑆o βˆ’ 𝐢𝑆p + 𝐴𝑆 β€’ Consumer surplus from content 𝐢𝑆o: βˆ‘ ∫ ∫ 𝑒2 βˆ’ π›Ώπ‘ž2 β„Ž 𝑒2, 𝑒3 𝑑𝑒2 𝑑𝑒3 u?A : v u?@ 2 + ∫ ∫ x𝑒2 βˆ’ v u?A v u?@ π›Ώπ‘ž2 + 𝑒3 βˆ’ π›Ώπ‘ž3yβ„Ž 𝑒2, 𝑒3 𝑑 𝑒2 𝑑𝑒3 β€’ Disutility privacy loss 𝐢𝑆p: z πœƒπ‘“ πœƒ π‘‘πœƒ K : + 1 βˆ’ 𝛽 𝑐 β€’ Advertiser surplus 𝐴𝑆: 𝐷" π‘Ÿ" + 𝐷$ π‘Ÿ$ + 𝐷"$ π‘Ÿ"$ C 16
  • 17. Second best (SB) tracking β€’ Regulator controls the tracking, publishers decide ad levels πœ•π‘Š πœ•π›½ = βˆ’ πœ•πΆπ‘†p πœ•π›½ + πœ•πΆπ‘†o πœ•π‘ž2 πœ•π‘ž2 NC πœ•π›½ + πœ•πΆπ‘†o πœ•π‘ž3 πœ•π‘ž3 NC πœ•π›½ + πœ•π΄π‘† πœ•π›½ = 0 β€’ Tracking at equilibrium may be too low compared to SB β€’ Always the case if ;?@ |I ;K < 0 β€’ Tracking may be too low even if objective is consumer surplus 17 Externality on other consumers Externality on advertisers Internalized βˆ’ βˆ’ +Β± Β±
  • 18. Policy implications β€’ Promoting cookies blocking (e.g. FTC’s β€œdo not track”) may not be beneficial for welfare and not even for consumers β€’ It may be desirable β€’ to reduce consumers’ disutility from being tracked (e.g., forbid intrusive third-party cookies) β€’ to increase perceived cost of blocking tracking (e.g., opt-out) β€’ Reducing disutility from being tracked or cost of blocking reduce the net disutility from privacy losses 𝐢𝑆p … β€’ … but have opposite effects on advertising market 18
  • 19. 19 Conclusion β€’ More efficient tracking technologies by ad networks may reduce the advertising consumers are exposed online β€’ Policy-makers should consider the effect on the supply of ads when designing digital privacy regulation β€’ Encouraging the use of tools that prevent firms from collecting data about consumers to deliver advertising may have adverse effects on both consumers and society
  • 20. Extension: privacy as intermediate good β€’ Farrell (2012): privacy is a final and an intermediate good β€’ Consumers’ choice to block cookies change the ads they see, hence their disutility from advertising β€’ Formally: β€’ βˆ’ 𝛿 βˆ’ 𝑧 π‘ž2 βˆ’ πœƒ if not block cookies βˆ’ 𝛿 π‘ž2 βˆ’ 𝑐 if block cookies β€’ The marginal multi-homer blocking cookies depend on π‘ž2 β€’ Preliminary analysis: results of the main model confirmed 20
  • 21. Welfare analysis β€’ Effect of AN β€’ If π‘ž2 NC < π‘ž2 b consumer and advertiser surplus are higher when advertising is outsourced β€’ Otherwise, conflicting interests: consumer surplus is higher when publishers compete directly, and advertiser surplus lower 21
  • 22. Micro-foundation (1/4) β€’ Interpretation: an advertiser buys ads to reach most interested consumers β€’ 𝑁 advertisers, each two ad messages β€’ Informing a consumer is worth: β€’ first message 1 (mainstream product) β€’ second message 𝑦 < 1 (e.g., niche product) β€’ π‘₯2 Λ† : probability a consumer registers an ad by advertiser π‘Ž when exposed to it on publisher 𝑖 = 1,2 β€’ π‘₯2 Λ† ~π‘ˆ 0,1 : i.i.d. for all consumers, publishers, advertisers β€’ Assumption: each advertiser buys at most one impression on a consumer on a given publisher 22
  • 23. Micro-foundation (2/4) β€’ Publishers send ads to consumers with largest π‘₯2 Λ† β€’ Advertiser π‘Ž buys π‘š2 Λ† ad impressions on 𝑖 π‘š2 Λ† = 1 βˆ’ π‘₯Μ…2 Λ† 𝐷2 + 𝐷"$ π‘₯Μ…2 Λ† : consumer with higher π‘₯2 Λ† receives an ad on 𝑖 from π‘Ž Perfect internal tracking: no repeated internal impressions β€’ Hence: π‘₯Μ…2 Λ† = 1 βˆ’ π‘š2 Λ† 𝐷2 + 𝐷"$ β€’ Expected prob. consumer on 𝑖 registers an ad by π‘Ž: z π‘₯𝑑π‘₯ " Ε Μ…@ β€Ή = 1 2 1 βˆ’ π‘₯Μ…2 Λ† $ 23
  • 24. Micro-foundation (3/4) β€’ Revenues from SH: π‘Ÿ2 Λ† = 𝐷2 𝛼2 z π‘₯𝑑π‘₯ " Ε Μ…@ β€Ή + 𝐷"$ 𝛾2 z π‘₯𝑑π‘₯ " Ε Μ…@ β€Ή 𝛼2 (resp., 𝛾2) probability that a SH (resp., MH) watches an ad when impressed on 𝑖 β€’ Revenues from MH without tracking: π‘Ÿ"$ Λ†_OC = 𝐷" 𝛼" z π‘₯𝑑π‘₯ " Ε Μ…= β€Ή + 𝐷$ 𝛼$ z π‘₯𝑑π‘₯ " Ε Μ…> β€Ή + 𝐷"$ 𝛾" z π‘₯𝑑π‘₯ " Ε Μ…= β€Ή + 𝛾$ z π‘₯𝑑π‘₯ " Ε Μ…> β€Ή βˆ’ 𝛾" z π‘₯𝑑π‘₯ " Ε Μ…= β€Ή 𝛾$ z π‘₯𝑑π‘₯ " Ε Μ…> β€Ή 24
  • 25. Micro-foundation (4/4) β€’ Revenues from MH with tracking: β€’ AN observes π‘₯2 Λ† for a consumer, and decides whether to impress her. Next, AN observes with prob. 𝛽 whether the selected consumer has already been informed by π‘Ž's message on 𝑗. Then, AN decides whether to send the first or the second message from π‘Ž π‘Ÿ"$ Λ†_C = 𝐷" 𝛼" z π‘₯𝑑π‘₯ " Ε Μ…= β€Ή + 𝐷$ 𝛼$ z π‘₯𝑑π‘₯ " Ε Μ…> β€Ή + 𝐷"$ 𝛾" z π‘₯𝑑π‘₯ " Ε Μ…= β€Ή + 𝛾$ z π‘₯𝑑π‘₯ " Ε Μ…> β€Ή βˆ’ 𝛾" z π‘₯𝑑π‘₯ " Ε Μ…= β€Ή 𝛾$ z π‘₯𝑑π‘₯ " Ε Μ…> β€Ή + 𝐷"$ 𝛽𝑦 𝛾" z π‘₯𝑑π‘₯ " Ε Μ…β€Ή 𝛾$ z π‘₯𝑑π‘₯ " Ε Μ…β€Ή 25