Authors: Martin Lindstrom
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
).
Abercrombie and Fitch,
1.1
,
4.1
,
5.1
,
6.1
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
adolescents.
See
children and teens
antibacterial products,
2.1
,
2.2
Apple,
1.1
,
5.1
,
9.1
,
9.2
.
See also
iPhone
Asian consumers and marketing,
1.1
,
1.2
,
2.1
,
5.1
behavior tracking.
See
data mining
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
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
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-driven marketing,
7.1
,
7.2
,
7.3
,
7.4
,
7.5
; fragrances and fashion,
7.6
,
7.7
; Toyota Prius,
8.1
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
cigarettes,
1.1
,
1.2
,
3.1
,
3.2
,
3.3
Cinderella Ate My Daughter
(Orenstein),
1.1
,
7.1
,
7.2
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
colleges, credit card lenders and
conformity.
See
peer pressure