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Online Advertising and Privacy Alexandre de Corni` ere and Romain de Nijs Paris School of Economics and Ensae-Crest(Lei)

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Page 1: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Online Advertising and Privacy

Alexandre de Corniere and Romain de Nijs

Paris School of Economics and Ensae-Crest(Lei)

Page 2: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Introduction

Online advertising industry: $100 billion, and growing.

Three main types

I Search advertising (43%)I Classified advertising (24%)I Display advertising (33%)

Main actors in display advertising

I Large publishers (Facebook, Google, etc.)I Advertising networks, Ad Exchanges

Page 3: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Introduction

Factors enhancing efficiency of display advertising

1. Ability to gather information about users:I CookiesI IP adressI Social network

2. Ability to tailor interactionsI Simultaneous auctionsI Display different ads to different users

Page 4: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Overview of the model

Displays ad 2

Displays ad 3

conditional bids Visits

Displays ad 2

User 1

User 2

User 3

Advertiser 1

Advertiser 2

Advertiser n

Integrated

Publisher

Page 5: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Economic questions

QuestionsI When is it profitable for the publisher to disclose con-

sumers’ data?I Do consumers and firms prefer privacy or disclosure?

Potential policy implications

I OFT market study (May 2010) ”Online Targeting ofAdvertising and Prices”

I The FTC is contemplating a new online privacy mech-anism: ”Do not track” button (December 2010)

Page 6: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

The main tradeoffs

Publisher (see ,e.g., Ganuza (2004))I Under Privacy: symmetric bidders, no rent.

I Under Disclosure: increases dispersion of willingnessto pay, positive informational rent.

Page 7: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

The main tradeoffs

AdvertisersI Under Privacy: “weak” demand by consumers, low

price, zero profit.

I Under Disclosure: “strong” demand, high price, pos-itive profit.

Page 8: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

The main tradeoffs

ConsumersI Under Privacy: bad match with advertisers, low price

of the good.

I Under Disclosure: good match, high price.

Page 9: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

The model

Players:I One consumer.

I n differentiated firms.

I One publisher auctioning one slot.

Page 10: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Consumer

The consumer’s valuation for product i is

vi =

1 with prob 1 − qi

↪→U([1, 1 + V])with prob qi

Ex ante, the qi’s are i.i.d uniform on [0; 1].

q= (q1, ..., qn) : interim-typev= (v1, ..., vn): type

Page 11: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Information structure

The publisher has information, but cannot infer the qi’s.Firms could.

Under Privacy, the publisher does not let firms learn theinformation.

Under Disclosure, it lets firms learn the information. Eachfirm i then observes qi ≡ P[vi > 1].

Page 12: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Timing of the game

1. The publisher chooses either Disclosure or Privacy.

2. Firms choose a price, and a bidding function bi(qi).

3. Under Disclosure, firms learn qi.

4. The publisher runs a second-price auction, withoutreserve price.

5. The winning firm’s advertisement is displayed to theconsumer.

6. The consumer buys one unit if and only if pi ≤ vi.

Page 13: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Firms’ pricing decisionSuppose that firm i faces a consumer of type qi.

Its gross revenue, if it sets a price pi, is

piP[vi ≥ pi] =

{1 if pi = 1qipi

(1+V−pi

V

)if pi > 1

The second expression is maximized by setting

pi =1 + V

2≡ pm

and the revenue is

qi(1 + V)2

4V≡ qirm

Page 14: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Firms’ pricing decision

The optimal price is thus

pi(qi) =

{1 if qi ≤ 1/rm

pm if qi ≥ 1/rm

A firm which faces a consumer with a high qi wants tocharge a high price.A firm which faces a consumer with a low qi wants tocharge a low price.

Assumption: rm∈ [1; 2].

Page 15: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Equilibrium under Privacy

If the publisher opts for Privacy, each firm expects qi = 12 .

Since rm≤ 2, it is optimal for firms to choose pi = 1, and

bi = 1.

The winner of the auction is picked randomly, and thepublisher’s profit is ΠPrivacy = 1.

Consumer’s surplus is CSPrivacy(V,n), with∂CSPrivacy

∂V > 0 and∂CSPrivacy

∂n = 0.

Firms’ profit is zero.

Page 16: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Equilibrium under Disclosure

We look for an equilibrium in which all firms charge thehigh price pm and bid bi(qi) = qirm.

Firms have to choose their price prior to learning qi.So, if a firm wins the auction, the expected value of qi isE[qn:n].Firms’ expected profit under this strategy profile is

π =1n

(E[qn:n] − E[qn−1:n]

)rm =

rm

n(n + 1)

Page 17: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Equilibrium under Disclosure

Is there a profitable deviation by a firm?

The only potential deviation is pi = 1 = bi(qi).

This deviation is not profitable if and only if (rm)n > n + 1.

If the condition does not hold, or if E[qn:n] < 1/rm, theunique equilibrium is an asymmetric one with:I One firm playing pj = bj = 1 andI n − 1 firms playing pi = pm and bi(qi) = qirm.

Page 18: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Equilibrium under Disclosure

We focus on the symmetric equilibrium.

The publisher’s expected profit is ΠDisclosure = E[qn−1:n]rm.

Consumer’s expected surplus is

CSDisclosure = E[qn:n]∫ 1+V

pmx − pm dx

V=

nn + 1

rm

2

Under disclosure, consumer’s surplus and publisher’s profitincrease with n.

Page 19: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Publisher: Disclosure or Privacy?

1

2

��

Privacy

Disclosure

Page 20: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Consumers: Disclosure or Privacy?

1

2

��

Privacy

Disclosure

Page 21: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Total welfare: Disclosure or Privacy?

1

2

��

Privacy

Disclosure

Page 22: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Summary

1

2

��

D P P

P P D

D P D

D D D

D D P

P D P

P P P

Page 23: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Extensions (in the paper)

I Partial disclosure

I Customized pricing

I Other media

Page 24: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Extension: Customized Pricing

Firms can charge p(qi).

Two results1. The publisher always chooses to disclose information.

2. Firms are worse-off than without customized prices.I Better surplus extraction power (+)I The first and the second highest bids become closer (-)

Page 25: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Extension: partial disclosure

3 technologies

1. Truth or noise2. Symmetric partition

In both cases, partial disclosure is never optimal.3. Pooling at the top: partial revelation optimal.

Page 26: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Related literatureInformation disclosure

I In auctions: Ganuza (2004), Ganuza and Penalva (2010),Milgrom and Webber (1982).

I In IO: Lewis and Sappington (1994), Johnson and My-att (2006).

Economics of privacy

I Taylor (2004), Aquisti and Varian (2005)I Calzolari and Pavan (2006), Hermalin and Katz (2006)

Targeted advertising

I Iyer, Soberman and Villas-Boas (2005)I de Corniere (2010)

Page 27: Online Advertising and Privacy - TSEidei.fr/sites/default/files/medias/doc/conf/sic/slides_2011/decorniereslides.pdfParis School of Economics and Ensae-Crest(Lei) Introduction Online

Future researchI Mass and niche advertisersI Competition between publishersI Costly contentI Not integrated publisher member of an ad network

 

Submits conditional bids 

Displays ad 1

Displays ad 1 

Displays ad 4

Registers

Visits 

Displays ad 2

User 1 

User 2 

User 1 

Publisher  1 

Publisher  2 User 3 

Add Network 

Advertiser 1 

Advertiser 2 

Advertiser n