Read Brandwashed Online

Authors: Martin Lindstrom

Brandwashed (46 page)

Chapter 9. Every Breath You Take, They’ll Be Watching You

  
1.
“Your Own Private Matrix,”
Economist,
November 4, 2010 (available at
http://www.economist.com/node/17388382
).

  
2.
“Data Mining Is Big Business for Kroger & Getting Bigger All the Time,”
KY Post
, May 27, 2010 (available at
http://www.kypost.com/dpp/
news/region_central_cincinnati/downtown/data-mining-is-big-business-for-
kroger-%26-getting-bigger-all-the-time
).

  
3.
Stephanie Clifford, “Web Coupons Know Lots About You, and They’ll Tell,”
New York Times
, April 16, 2010 (available at
http://www.nytimes.com/2010/04/17/
business/media/17coupon.html?ref-general&
src=me&pagewanted=print
).

  
4.
Ibid.

  
5.
Ibid.

  
6.
Ariana Eunjung Cha, “Digital Coupons Help Stores Get More Info About You,”
Houston Chronicle
, July 4, 2010 (available at
http://www.chron.com/disp/story.mpl/business/7094186.html
).

  
7.
Ibid.

  
8.
Jordan Robertson, “Apps Secretly Sharing Personal Data with Third parties—Without Telling You,”
Huffington Post
, July 28, 2010,
http://www.huffingtonpost.com/2010/07/29/apps-secretly-sharing-per_n_662886.html
.

  
9.
Ibid.

10.
Ibid.

11.
Ibid.

12.
Charles Duhigg, “What Does Your Credit Card Company Know About You?”
New York Times
, May 12, 2009 (available at
http://www.nytimes.com/2009/05/17/magazine/17credit-t.html
).

13.
Ibid.

14.
Connie Prater, “What You Buy, Where You Shop May Affect Credit,”
CreditCards.com
,
http://www.creditcards.com/credit-card-news/how-shopping-can-affect-credit-1282.php
.

15.
Ibid.

16.
Brad Stone, “The Debt Trap,”
New York Times
, October 21, 2008.

17.
Ibid.

18.
See
http://www.alcmilestones.com/new-movers-homeowners-lists.php
.

19.
Ibid.

20.
Rob Varnon, “Bank Pays Millions to Yale to Market Its Credit Cards,”
Connecticut Post
, June 7, 2010 (available at
http://www.ctpost.com/local/article/Bank-pays-millions-to-Yale-to-market-its-credit-514988.php
).

21.
Ibid.

22.
Ibid.

23.
“Inside the Deals: Contracts Allow Credit Card Marketing to Students,” Huffington Post Investigative Fund, June 8, 2010,
http://huffpostfund.org/stories/pages/inside-deals-contracts-allow-credit-card-marketing-students
.

24.
Kenneth Collier, Bernard Carey, Ellen Grusy, Kurt Marjaniemi, and Donald Sauter, “A Perspective on Data Mining,” Center for Data Insight at Northern Arizona University, July 1998 (available at
http://insight.nau.edu/downloads/DM%20Perspective%20v2.pdf
).

25.
Jean D. Kinsey, Paul Wolfson, Nikolaos Katsaras, and Ben Senauer, “Data Mining: A Segmentation Analysis of U.S. Grocery Shoppers” (working paper 01/01, Food Industry Center, University of Minnesota, 2001 (available at
http://purl.umn.edu/14335
).

26.
See
http://www.thomascookmands.com/
.

27.
“Watching as You Shop,”
Economist,
December 6, 2007 (available at
http://www.economist.com/node/10202778?story_id=10202778
).

28.
See
http://www.tns-sorensen.com/documents/11.3b1MKT_Retail%20PTBroch.pdf
.

29.
Barbara Hagenbaugh, “Musak Thinks Outside the Box,”
USA Today
, August 5, 2004 (available at
http://www.usatoday.com/money/media/2004-08-05-muzak-cover_x.htm
).

30.
David McRaney, “Musak,” You Are Not So Smart, October 26, 2009,
http://youarenotsosmart.com/2009/10/26/muzak/
.

31.
Ibid.

32.
“The Infinite Mind: Music and the Mind,” Lichtenstein Creative Media, December 28, 2002,
http://www.lcmedia.com/mind250.htm
.

33.
See
http://www.predicta.net/home_html.php
.

34.
Erica Naone, “Software Helps Websites Predict Users’ Tastes,”
Technology Review
, November 2, 2010 (available at
http://www.technologyreview.com/web/26664/?nlid=3714
).

35.
Ibid.

36.
Christopher Mims, “
Wired.com
and Huffington Post Amongst List of Privacy-Invading Websites,”
Technology Review
, December 3, 2010 (available at
http://www.technologyreview.com/blog/mimssbits/26098/?nlid=3846
).

37.
Ibid.

38.
Center for Digital Democracy, “CDD, U.S. PIRG, Consumer Watchdog, and World Privacy Forum Call on FTC to Investigate Interactive Marketing of Pharmaceuticals and Health Products and Services to Consumers and Health Professionals,” November 23, 2010,
http://www.democraticmedia.org/2010-11-16-press-release
.

39.
See
http://www.facebook.com/policy.php
.

40.
Emily Steel and Geoffrey A. Fowler, “Facebook in Privacy Breach,”
Wall Street Journal
, October 18, 2010 (available at
http://online.wsj.com/article/
SB10001424052702304772804575558484075236968.html
).

41.
Miguel Helft, “Marketers Can Glean Private Data on Facebook,”
New York Times,
October 22, 2010.

42.
David Gelles, “Facebook’s Grand Plan for the Future,”
Financial Times
Magazine
, December 3, 2010 (available at
http://www.ft.com/cms/s/2/57933bb8-fcd9-11df-ae2d-00144feab49a.html#axzz18cUiyVDF
).

43.
See
http://foursquare.com/legal/privacy
.

44.
Ibid.

45.
Yannis Bakos, Florencia Marotta-Wurgler, and David R. Trossen, “Does Anyone Read the Fine Print? Testing a Law and Economics Approach to Standard Form Contracts” (working paper, New York University Law and Economics Working Papers, December 1, 2009) (available at
http://lsr.nellco.org/cgi/viewcontent.cgi?article=1199&context=nyu_lewp
).

46.
“Germany Calls on Apple to Expose Location Data Policy,” iPod News,
http://www.ipodnn.com/articles/10/06/28/
company.failing.to.live.up.to.openness/
.

47.
“7,500 Online Shoppers Unknowingly Sold Their Souls,”
Fox News
, April 15, 2010,
http://www.foxnews.com/scitech/2010/04/15/online-shoppers-unknowingly-sold-souls/
.

48.
See
http://www.kidswb.com/privacy
.

49.
Mark Millan, “82 Percent of Kids under 2 Have an Online Presence,”
CNN.com
, October 2010,
http://www.cnn.com/2010/TECH/social
.media/10/07/baby.pictures/index.html
.

50.
Ibid.

51.
Natasha Singer, “Shoppers Who Can’t Have Secrets,”
New York Times
, May 1, 2010 (available at
http://www.nytimes.com/2010/05/
02/business/02stream.html
).

INDEX

Abercrombie and Fitch,
1.1
,
4.1
,
5.1
,
6.1

acai products

addiction,
3.1
,
3.2
; to gaming,
3.3
; to shopping,
3.4
,
3.5
; to smart phones,
2.1
.
See also
brand obsession

addiction-based marketing: advertising games,
1.1
,
3.1
; cravings,
3.2
,
3.3
,
3.4
,
3.5
; food and drink,
3.6
; lip balm,
3.7

Adidas

adjacencies

adolescents.
See
children and teens

Agatston, Arthur

Allianz

Allstate

Amazon,
5.1
,
9.1

American Apparel,
4.1
,
4.2
,
6.1

American Eagle

American Express,
2.1
,
7.1
,
9.1

antibacterial products,
2.1
,
2.2

antioxidants

Apple,
1.1
,
5.1
,
9.1
,
9.2
.
See also
iPhone

Aquafresh

Armani, Giorgio

Asian consumers and marketing,
1.1
,
1.2
,
2.1
,
5.1

atmospherics

authenticity

Axe,
4.1
,
4.2

babies,
1.1
,
5.1

baby names

Badger, Madonna

banks,
9.1
,
9.2
,
9.3

Barbie

Baynote

Beckham, Victoria

behavior tracking.
See
data mining

Berns, Gregory

best-seller lists,
5.1
,
7.1

beverage marketing: cravings and addictiveness,
3.1
,
3.2
,
3.3
; fear-based,
2.1
,
2.2
,
2.3
; health beverages,
8.1
; nostalgia in,
6.1
,
6.2
,
6.3
; peer approval in,
5.1
.
See also specific brands

Bieber, Justin

blockbuster effect

body sprays,
1.1
,
4.1
,
4.2
,
9.1

body wash

books,
5.1
,
7.1

Borrman, Brandon

Bowie, David

brand awareness/preferences: children,
1.1
,
1.2
,
1.3
; nostalgia and,
1.4
,
1.5
,
1.6
,
1.7
,
6.1
; parental influence on,
1.8
,
1.9
,
6.2

brand obsession,
3.1
,
5.1
.
See also
peer pressure

British royal family,
7.1
,
7.2

Brunson, Krista

burglar alarms

Buyology
(Lindstrom),
3.1
,
8.1

caffeine,
3.1
,
3.2

Calvin Klein,
4.1
,
4.2

Cameron, Rose

Canadian Tire

Carmex

cars,
1.1
,
4.1
,
8.1
,
8.2
,
8.3

celebrities,
7.1
,
7.2
,
7.3
,
7.4
; baby names and,
7.5
; Bieber phenomenon,
4.1
; as brands,
7.6
,
7.7
,
7.8
,
7.9
,
7.10
; children of,
7.11
,
7.12
; pixie-dust phenomenon,
7.13
; royalty,
7.14
,
7.15
,
7.16

celebrity doctors,
7.1
,
7.2

celebrity-driven marketing,
7.1
,
7.2
,
7.3
,
7.4
,
7.5
; fragrances and fashion,
7.6
,
7.7
; Toyota Prius,
8.1

Cellfire

Cepia

cereals,
2.1
,
6.1
,
8.1

CEW France

ChatThreads,
9.1
,
9.2
,
9.3

children and teens,
1.1
; advertising games,
1.2
,
3.1
; age-inappropriate marketing,
1.3
; brand awareness and preferences,
1.4
,
1.5
,
1.6
; celebrities’ children,
7.1
,
7.2
; child safety products,
2.1
; data mining,
9.1
; fantasy-based marketing,
7.3
; food preferences,
1.7
,
1.8
; gaming addiction,
3.2
; generation lap,
5.1
; girls’ princess aspirations,
7.4
,
7.5
; influence on parents’ purchases,
1.9
,
9.2
; media exposure,
1.10
; peer pressure and word of mouth,
5.2
,
5.3
,
5.4
,
9.3
; pre-birth experiences,
1.11
; social media addiction,
3.3
; as target market,
1.12
,
1.13
,
5.5

children’s products, marketing to adults,
4.1
,
5.1

Chin, Toyna

China,
5.1
,
6.1

Christmas toy fads

churches

cigarettes,
1.1
,
1.2
,
3.1
,
3.2
,
3.3

Cinderella Ate My Daughter
(Orenstein),
1.1
,
7.1
,
7.2

cleaning products,
2.1
,
2.2

Clinton, Bill

Clinton, Hillary

clothing,
1.1
,
4.1
,
4.2
,
6.1
; celebrity fashion,
7.1
; knockoffs,
5.1
,
6.2
; peer pressure and,
5.2
,
5.3
; vanity sizing,
4.3

Club Penguin

Coca-Cola,
3.1
,
6.1
,
8.1

cocaine

coffee,
1.1
,
1.2
,
3.1

Cohen, Marshal

colleges, credit card lenders and

Collis, Alvin

condoms,
5.1
,
9.1

conformity.
See
peer pressure

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