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A Brief Primer on the Economics of Targeted Advertising
ECONOMIC ISSUES A Brief Primer on the Economics of Targeted Advertising by Yan Lau Bureau of Economics Federal Trade Commission January 2020 Federal Trade Commission Joseph J. Simons Chairman Noah Joshua Phillips Commissioner Rohit Chopra Commissioner Rebecca Kelly Slaughter Commissioner Christine S. Wilson Commissioner Bureau of Economics Andrew Sweeting Director Andrew E. Stivers Deputy Director for Consumer Protection Alison Oldale Deputy Director for Antitrust Michael G. Vita Deputy Director for Research and Management Janis K. Pappalardo Assistant Director for Consumer Protection David R. Schmidt Assistant Director, Oÿce of Applied Research and Outreach Louis Silva, Jr. Assistant Director for Antitrust Aileen J. Thompson Assistant Director for Antitrust Yan Lau is an economist in the Division of Consumer Protection of the Bureau of Economics at the Federal Trade Commission. The views expressed are those of the author and do not necessarily refect those of the Federal Trade Commission or any individual Commissioner. ii Acknowledgments I would like to thank AndrewStivers and Jan Pappalardo for invaluable feedback on numerous revisions of the text, and the BE economists who contributed their thoughts and citations to this paper. iii Table of Contents 1 Introduction 1 2 Search Costs and Match Quality 5 3 Marketing Costs and Ad Volume 6 4 Price Discrimination in Uncompetitive Settings 7 5 Market Segmentation in Competitive Setting 9 6 Consumer Concerns about Data Use 9 7 Conclusion 11 References 13 Appendix 16 iv 1 Introduction The internet has grown to touch a large part of our economic and social lives. This growth has transformed it into an important medium for marketers to serve advertising. -
Digital Economy Compass
Digital Economy Compass Mai 2017 “At least 40% of all businesses will die in the next 10 years… if they don’t figure out how to change their entire company to accommodate new technologies.” John Chambers, Chairman of Cisco System 2 Welcome to the Digital Economy Compass Less talking, more facts – our idea behind creating the Digital Economy Compass. It contains facts, trends and key players, covering the entire digital economy. We provide… › key essentials from our research, › actionable insights, › Statista’s exclusive forecasts. This very first edition will provide everything you need to know about the digital economy. Your Digital Market Outlook Team 3 Table of Contents Global Trends › Connectivity: Numbers behind the “always on” trend…………………………... 5 › Social Media: Love it, hate it, but accept that you need it…………………... 20 › Platform Economics: A story about White Sharks and Swordfish……… 30 › Venture Capital: Feed for new Tech-Unicorns…………………………………...... 83 › AI, AR and VR: The next big Technology Hype………………………………………. 91 Statista’s Digital Market Outlook › e-Commerce……………………... 106 › FinTech…………………………………. 148 › eServices……………………………. 117 › Digital Advertising…………….... 160 › eTravel ………………………………. 129 › Smart Home……………………...... 171 › Digital Media……………………...138 › Connected Car…………………….. 181 4 Connectivity 2,570,792 e-mails per second The global number of e-mails sent per second resulted in around 81 trillion e-mails sent during 2016. Source: internetlivestats.com Connectivity The world is more connected than ever, a development which -
Google Ad Tech
Yaletap University Thurman Arnold Project Digital Platform Theories of Harm Paper Series: 4 Report on Google’s Conduct in Advertising Technology May 2020 Lissa Kryska Patrick Monaghan I. Introduction Traditional advertisements appear in newspapers and magazines, on television and the radio, and on daily commutes through highway billboards and public transportation signage. Digital ads, while similar, are powerful because they are tailored to suit individual interests and go with us everywhere: the bookshelf you thought about buying two days ago can follow you through your favorite newspaper, social media feed, and your cousin’s recipe blog. Digital ads also display in internet search results, email inboxes, and video content, making them truly ubiquitous. Just as with a full-page magazine ad, publishers rely on the revenues generated by selling this ad space, and the advertiser relies on a portion of prospective customers clicking through to finally buy that bookshelf. Like any market, digital advertising requires the matching of buyers (advertisers) and sellers (publishers), and the intermediaries facilitating such matches have more to gain every year: A PwC report estimated that revenues for internet advertising totaled $57.9 billion for 2019 Q1 and Q2, up 17% over the same half-year period in 2018.1 Google is the dominant player among these intermediaries, estimated to have netted 73% of US search ad spending2 and 37% of total US digital ad spending3 in 2019. Such market concentration prompts reasonable questions about whether customers are losing out on some combination of price, quality, and innovation. This report will review the significant 1 PricewaterhouseCoopers for IAB (October 2019), Internet Advertising Revenue Report: 2019 First Six Months Results, p.2. -
Privacy Policy Interpretation and Definitions
Privacy Policy This Privacy Policy describes Our policies and procedures on the collection, use and disclosure of Your information when You use the Service and tells You about Your privacy rights and how the law protects You. We use Your Personal data to provide and improve the Service. By using the Service, You agree to the collection and use of information in accordance with this Privacy Policy. Interpretation and Definitions Interpretation The words of which the initial letter is capitalized have meanings defined under the following conditions. The following definitions shall have the same meaning regardless of whether they appear in singular or in plural. Definitions For the purposes of this Privacy Policy: • You means the individual accessing or using the Service, or the company, or other legal entity on behalf of which such individual is accessing or using the Service, as applicable. Under GDPR (General Data Protection Regulation), You can be referred to as the Data Subject or as the User as you are the individual using the Service. • Company (referred to as either "the Company", "We", "Us" or "Our" in this Agreement) refers to Adventure City Inc., 1238 S. BEACH BLVD., SUITE E. For the purpose of the GDPR, the Company is the Data Controller. • Affiliate means an entity that controls, is controlled by or is under common control with a party, where "control" means ownership of 50% or more of the shares, equity interest or other securities entitled to vote for election of directors or other managing authority. • Account means a unique account created for You to access our Service or parts of our Service. -
Electronic Evidence Examiner
2 Table of Contents About Electronic Evidence Examiner How To .......................................................................12 How to Work with Cases .........................................................................................................13 How to Create New Case .......................................................................................................13 How to Enable Automatic Case Naming .................................................................................14 How to Define Case Name During Automatic Case Creation .................................................14 How to Open Existing Case....................................................................................................15 How to Save Case to Archive .................................................................................................16 How to Change Default Case Location ...................................................................................16 How to Add Data to Case ........................................................................................................17 How to Add Evidence .............................................................................................................18 How to Acquire Devices .........................................................................................................20 How to Import Mobile Data .....................................................................................................21 How to Import Cloud Data ......................................................................................................22 -
Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook
University of Pennsylvania ScholarlyCommons Marketing Papers Wharton Faculty Research 1-2018 Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook Dokyun Lee Kartik Hosanagar University of Pennsylvania Harikesh Nair Follow this and additional works at: https://repository.upenn.edu/marketing_papers Part of the Advertising and Promotion Management Commons, Business Administration, Management, and Operations Commons, Business Analytics Commons, Business and Corporate Communications Commons, Communication Technology and New Media Commons, Marketing Commons, Mass Communication Commons, Social Media Commons, and the Technology and Innovation Commons Recommended Citation Lee, D., Hosanagar, K., & Nair, H. (2018). Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook. Management Science, http://dx.doi.org/10.1287/mnsc.2017.2902 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/marketing_papers/339 For more information, please contact [email protected]. Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook Abstract We describe the effect of social media advertising content on customer engagement using data from Facebook. We content-code 106,316 Facebook messages across 782 companies, using a combination of Amazon Mechanical Turk and natural language processing algorithms. We use this data set to study the association of various kinds of social media marketing content with user engagement—defined as Likes, comments, shares, and click-throughs—with the messages. We find that inclusion of widely used content related to brand personality—like humor and emotion—is associated with higher levels of consumer engagement (Likes, comments, shares) with a message. We find that directly informative content—like mentions of price and deals—is associated with lower levels of engagement when included in messages in isolation, but higher engagement levels when provided in combination with brand personality–related attributes. -
Investment Company Report
Investment Company Report Meeting Date Range: 01-Jul-2018 - 30-Jun-2019 Report Date: 01-Jul-2019 Page 1 of 102 Bridges Investment ALLERGAN PLC Security: G0177J108 Agenda Number: 934955696 Ticker: AGN Meeting Type: Annual ISIN: IE00BY9D5467 Meeting Date: 01-May-19 Prop. # Proposal Proposed Proposal Vote For/Against by Management's Recommendation 1a. Election of Director: Nesli Basgoz, M.D. Mgmt For For 1b. Election of Director: Joseph H. Boccuzi Mgmt For For 1c. Election of Director: Christopher W. Bodine Mgmt For For 1d. Election of Director: Adriane M. Brown Mgmt For For 1e. Election of Director: Christopher J. Coughlin Mgmt For For 1f. Election of Director: Carol Anthony (John) Mgmt For For Davidson 1g. Election of Director: Thomas C. Freyman Mgmt For For 1h. Election of Director: Michael E. Greenberg, Mgmt For For PhD 1i. Election of Director: Robert J. Hugin Mgmt For For 1j. Election of Director: Peter J. McDonnell, M.D. Mgmt For For Investment Company Report Meeting Date Range: 01-Jul-2018 - 30-Jun-2019 Report Date: 01-Jul-2019 Page 2 of 102 Prop. # Proposal Proposed Proposal Vote For/Against by Management's Recommendation 1k. Election of Director: Brenton L. Saunders Mgmt For For 2. To approve, in a non-binding vote, Named Mgmt For For Executive Officer compensation. 3. To ratify, in a non-binding vote, the Mgmt For For appointment of PricewaterhouseCoopers LLP as the Company's independent auditor for the fiscal year ending December 31, 2019 and to authorize, in a binding vote, the Board of Directors, acting through its Audit and Compliance Committee, to determine PricewaterhouseCoopers LLP's remuneration. -
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1 TABLE OF CONTENTS 2 I. INTRODUCTION ...................................................................................................... 2 3 II. JURISDICTION AND VENUE ................................................................................. 8 4 III. PARTIES .................................................................................................................... 9 5 A. Plaintiffs .......................................................................................................... 9 6 B. Defendants ....................................................................................................... 9 7 IV. FACTUAL ALLEGATIONS ................................................................................... 17 8 A. Alphabet’s Reputation as a “Good” Company is Key to Recruiting Valuable Employees and Collecting the User Data that Powers Its 9 Products ......................................................................................................... 17 10 B. Defendants Breached their Fiduciary Duties by Protecting and Rewarding Male Harassers ............................................................................ 19 11 1. The Board Has Allowed a Culture Hostile to Women to Fester 12 for Years ............................................................................................. 19 13 a) Sex Discrimination in Pay and Promotions: ........................... 20 14 b) Sex Stereotyping and Sexual Harassment: .............................. 23 15 2. The New York Times Reveals the Board’s Pattern -
Improving Transparency Into Online Targeted Advertising
AdReveal: Improving Transparency Into Online Targeted Advertising Bin Liu∗, Anmol Sheth‡, Udi Weinsberg‡, Jaideep Chandrashekar‡, Ramesh Govindan∗ ‡Technicolor ∗University of Southern California ABSTRACT tous and cover a large fraction of a user’s browsing behav- To address the pressing need to provide transparency into ior, enabling them to build comprehensive profiles of their the online targeted advertising ecosystem, we present AdRe- online interests. This widespread tracking of users and the veal, a practical measurement and analysis framework, that subsequent personalization of ads have received a great deal provides a first look at the prevalence of different ad target- of negative press; users associate adjectives such as creepy ing mechanisms. We design and implement a browser based and scary with the practice [18], primarily because they lack tool that provides detailed measurements of online display insight into how their data is being collected and used. ads, and develop analysis techniques to characterize the con- Our paper seeks to provide transparency into the targeted textual, behavioral and re-marketing based targeting mecha- advertising ecosystem, a capability that has not been ex- nisms used by advertisers. Our analysis is based on a large plored so far. We seek to enable end-users to reason about dataset consisting of measurements from 103K webpages why ads of a certain category are being displayed to them. and 139K display ads. Our results show that advertisers fre- Consider a user that repeatedly receives ads about cures for a quently target users based on their online interests; almost particularly private ailment. The user currently lacks a way half of the ad categories employ behavioral targeting. -
GOOGLE ADVERTISING TOOLS (FORMERLY DOUBLECLICK) OVERVIEW Last Updated October 1, 2019
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A Privacy-Aware Framework for Targeted Advertising
Computer Networks 79 (2015) 17–29 Contents lists available at ScienceDirect Computer Networks journal homepage: www.elsevier.com/locate/comnet A privacy-aware framework for targeted advertising ⇑ Wei Wang a, Linlin Yang b, Yanjiao Chen a, Qian Zhang a, a Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong b Fok Ying Tung Graduate School, Hong Kong University of Science and Technology, Hong Kong article info abstract Article history: Much of today’s Internet ecosystem relies on online advertising for financial support. Since Received 21 June 2014 the effectiveness of advertising heavily depends on the relevance of the advertisements Received in revised form 6 November 2014 (ads) to user’s interests, many online advertisers turn to targeted advertising through an Accepted 27 December 2014 ad broker, who is responsible for personalized ad delivery that caters to user’s preference Available online 7 January 2015 and interest. Most of existing targeted advertising systems need to access the users’ pro- files to learn their traits, which, however, has raised severe privacy concerns and make Keywords: users unwilling to involve in the advertising systems. Spurred by the growing privacy con- Targeted advertising cerns, this paper proposes a privacy-aware framework to promote targeted advertising. In Privacy Game theory our framework, the ad broker sits between advertisers and users for targeted advertising and provides certain amount of compensation to incentivize users to click ads that are interesting yet sensitive to them. The users determine their clicking behaviors based on their interests and potential privacy leakage, and the advertisers pay the ad broker for ad clicking. -
In the Common Pleas Court Delaware County, Ohio Civil Division
IN THE COMMON PLEAS COURT DELAWARE COUNTY, OHIO CIVIL DIVISION STATE OF OHIO ex rel. DAVE YOST, OHIO ATTORNEY GENERAL, Case No. 21 CV H________________ 30 East Broad St. Columbus, OH 43215 Plaintiff, JUDGE ___________________ v. GOOGLE LLC 1600 Amphitheatre Parkway COMPLAINT FOR Mountain View, CA 94043 DECLARATORY JUDGMENT AND INJUNCTIVE RELIEF Also Serve: Google LLC c/o Corporation Service Co. 50 W. Broad St., Ste. 1330 Columbus OH 43215 Defendant. Plaintiff, the State of Ohio, by and through its Attorney General, Dave Yost, (hereinafter “Ohio” or “the State”), upon personal knowledge as to its own acts and beliefs, and upon information and belief as to all matters based upon the investigation by counsel, brings this action seeking declaratory and injunctive relief against Google LLC (“Google” or “Defendant”), alleges as follows: I. INTRODUCTION The vast majority of Ohioans use the internet. And nearly all of those who do use Google Search. Google is so ubiquitous that its name has become a verb. A person does not have to sign a contract, buy a specific device, or pay a fee to use Good Search. Google provides its CLERK OF COURTS - DELAWARE COUNTY, OH - COMMON PLEAS COURT 21 CV H 06 0274 - SCHUCK, JAMES P. FILED: 06/08/2021 09:05 AM search services indiscriminately to the public. To use Google Search, all you have to do is type, click and wait. Primarily, users seek “organic search results”, which, per Google’s website, “[a] free listing in Google Search that appears because it's relevant to someone’s search terms.” In lieu of charging a fee, Google collects user data, which it monetizes in various ways—primarily via selling targeted advertisements.