Part I Google Ads and PPC
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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. -
Bo Pulito Strategic Partner Manager Google 5 Questions You Always Wanted Google to Answer 5 QUESTIONS YOU ALWAYS WANTED GOOGLE to ANSWER
Bo Pulito Strategic Partner Manager Google 5 Questions You Always Wanted Google to Answer 5 QUESTIONS YOU ALWAYS WANTED GOOGLE TO ANSWER Agenda 1 Lead Sources 2 SERP Page 3 Adwords Auction 4 Google My Business 5 Trends 1 Lead Sources “What are the best Google Channels to drive leads?” 5 QUESTIONS YOU ALWAYS WANTED GOOGLE TO ANSWER 1 Lead Sources 2B 2 SERP Page “What should I focus on SEO or SEM?” 5 QUESTIONS YOU ALWAYS WANTED GOOGLE TO ANSWER 2 SERP Page Google Search Ads (SEM) Info Cards: Local map No More Right Hand listings Rail Organic Listings (SEO) 3 Adwords Auction “How do I get to the top of the page?” 5 QUESTIONS YOU ALWAYS WANTED GOOGLE TO ANSWER 3 Adwords Auction 4 Google My Business “How do I get my service area business listed in multiple cities?” 5 QUESTIONS YOU ALWAYS WANTED GOOGLE TO ANSWER 4 Google My Business 5 Trends “What are the top trends Google is thinking about?” 5 QUESTIONS YOU ALWAYS WANTED GOOGLE TO ANSWER Mobile 5 2014 50% of searches from mobile users 2011 2012 2013 2014 2015 2016 Thank You! Learn More About ReachLocal’s Digital Marketing Solutions: www.reachlocal.com ReachLocal Blog Ebooks Subscribe: http://blog.reachlocal.com Download: http://bit.ly/lcsebook Follow Us: reachlocal.com/social 5 QUESTIONS YOU ALWAYS WANTED GOOGLE TO ANSWER RESOURCES GENERAL TOPICS ● ReachLocal Blog: Articles about a variety of topics in digital marketing ● ReachLocal Resource Center: Ebooks, videos, webinar replays, infographics and other content on digital marketing ● ReachLocal Webinar: 25 Digital Marketing Tips ● Think With -
Understanding Pay-Per-Click (PPC) Advertising
Understanding Pay-Per-Click Advertising 5 Ways to Ensure a Successful Campaign WSI White Paper Prepared by: WSI Corporate Understanding Pay-Per-Click Advertising 5 Ways to Ensure a Successful Campaign Introduction Back in the 1870s, US department store pioneer, John Wanamaker, lamented, “Half the money I spend on advertising is wasted; the trouble is I don’t know which half!” In today’s increasingly global market, this is no longer a problem. Every successful marketing agent knows that leveraging pay-per-click (PPC) advertising is the key to controlling costs. This unique form of marketing makes it easy to budget advertising dollars and track return on investment (ROI), while attracting traffic to your Web site and qualified leads and sales to your business. Compared with other traditional forms of advertising, paid search marketing, or PPC, is far and away the most cost effective. This report examines the role of PPC as a central component of a successful marketing strategy. It begins with an overview of PPC’s place in the digital market place and the reasons for its continuing worldwide popularity among business owners and entrepreneurs. It also provides tips to ensure your business is getting the most from its PPC campaign. i FIGURE 1. PPC PROCESS 1. Attract Visitors 2. Convert 4. Measure Visitors to and Optimize Customers 3. Retain and Grow Customers Source: Optimum Web Marketing Whitepaper: Understanding Pay-Per-Click Advertising Copyright ©2010 RAM. Each WSI franchise office is an independently owned and operated business. Page 2 of 19 Understanding Pay-Per-Click Advertising 5 Ways to Ensure a Successful Campaign 1. -
Consumer Click Through Behavior Across Devices in Paid Search Advertising
Click-Through Behavior across Devices In Paid Search Advertising Why Users Favor Top Paid Search Ads And Are Sensitive to Ad Position Change CHONGYU LU This study investigated differences in consumer click-through behavior with paid search Pace University advertisement across devices—smartphone versus desktop versus tablet. The authors [email protected] examined how different device users behave in terms of their tendency to click on the REX YUXING DU top paid search advertisement and their sensitivity to advertisement position change, University of Houston [email protected] and whether tablet users are more similar to smartphone or desktop users when clicking through paid search advertisements. By leveraging Google AdWords data from 13 paid search advertisers, the authors developed empirical findings that provide insights into paid search advertising strategies across devices. INTRODUCTION years, as the majority of search activities have Paid search advertising accounts for 46 percent of shifted from desktop to mobile devices, such as digital-marketing expenditure and is expected to smartphones and tablets. The volume of mobile reach $142.5 billion in 2021 (Ironpaper, 2017). One searches has exceeded that of desktop searches way for advertisers to improve the performance of since 2015 (Sterling, 2015). paid search advertising is to consider segmenting A recent study (iProspect, 2017) reported that their paid search advertising campaigns by devices. mobile devices accounted for 69.4 percent of Discussion of the benefits of doing so is inconclu- Google’s paid search clicks in 2017. This share sive, however. Although some advertisers suggest is expected to grow as mobile devices become that device segmentation is an effective strategy, increasingly affordable and the speed of mobile others believe that it is not worth the trouble of set- networks increases. -
Six-Steps for Search Engine Marketing Learning
SIX-STEPS FOR SEARCH ENGINE MARKETING LEARNING Kai-Yu Wang, Brock University AXCESSCAPON TEACHING INNOVATION COMPETIION TEACHING NOTES Google AdWords is considered to be the most important digital marketing channel, causing firms to consistently increase their budget in this area (Hanapin Marketing, 2016). Paid search advertising expenditures in the US are predicted to reach $45.81 billion by 2018, making up 42.7% of the total expected digital advertising expenditures in the country (eMarketer, 2018). One of the key challenges in teaching digital marketing is determining how to help students learn digital marketing strategies with actionable tactics that they can directly apply to the real digital business world. Thus, a six-step process was proposed and used in my internet and social media class to address this pedagogical problem. Students learned search engine marketing (SEM) through in-class assignments and a SEM campaign for a local organization. 1. Local Businesses (i.e., community partners): Before the semester began, a call for service-learning project participation was sent to a pool of local community partners. Among the 24 interested community partners, nine from various industries (e.g., wine, construction, auto repairs) were selected to work with my internet and social media marketing class. In week two of the semester, nine teams (five students per team) were formed and randomly assigned one local business to work with on the project. Each team was required to schedule a meeting with its community partner in the following week. The purpose of this meeting was to understand the partner’s products/services, current marketing strategies, and digital marketing problems. -
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. -
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. -
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. -
The Value of Targeted Advertising to Consumers the Value of Targeted Advertising to Consumers
The Value of Targeted Advertising to Consumers The Value of Targeted Advertising to Consumers 71% of Consumers Prefer Ads Targeted to Their Interests and Shopping Habits 3 out of 4 Consumers Prefer Fewer, but More Personalized Ads Only 4% of Consumers Say Behaviorally Targeted Ads Are Their Biggest Online Concern Half (49%) of Consumers Agree That Tailored Ads are Helpful Nearly Half Say the Greatest Benefit of Targeted Ads is in Reducing Irrelevant Ads Next greatest benefits of personalization are product discovery (25%) and easier online shopping (19%) 2 71% of Consumers Prefer Personalized Ads 71% Prefer ads tailored to their interests and shopping habits 75% Prefer fewer, but more personalized ads Consider personalized ads to be targeted based on their online shopping behaviors Source: Adlucent, May, 2016 3 Adlucent surveyed 1000 US consumers in 2016 Only 4% of Consumers Say Behaviorally Targeted Ads Are Their Biggest Online Concern Source: Zogby Analytics and DAA, Apr. 2013. 4 Survey of 1000 US consumers Half of Consumers View Tailored Ads as Helpful • Targeted ads help consumers quickly find the right products and services “Advertising that is tailored to my needs is helpful because I can find the right products 49% and services more quickly.” Agree US Consumers Source: Gfk, March 2014 5 GfK surveyed 1,000 people on their attitudes to targeted advertising in March, 2014 Nearly Half Say the Greatest Benefit of Targeted Ads is in Reducing Irrelevant Ads Consumers list the greatest benefits to personalization to be: • Helping reduce irrelevant ads (46%) • Providing a way to discover new products (25%) • Making online shopping easier (19%) Source: Adlucent, May, 2016 6 Adlucent surveyed 1000 US consumers in 2016 Consumers on Targeted Ads In Their Own Words… “I don’t think ads are bad. -
EU Data Protection Law and Targeted Advertising
Damian Clifford EU Data Protection Law and Targeted Advertising Consent and the Cookie Monster - Tracking the crumbs of on- line user behaviour by Damian Clifford, Researcher ICRI/CIR KU Leuven* Abstract: This article provides a holistic legal a condition for the placing and accessing of cookies. analysis of the use of cookies in Online Behavioural Alternatives to this approach are explored, and the Advertising. The current EU legislative framework implementation of solutions based on the application is outlined in detail, and the legal obligations are of the Privacy by Design and Privacy by Default examined. Consent and the debates surrounding concepts are presented. This discussion involves an its implementation form a large portion of the analysis of the use of code and, therefore, product analysis. The article outlines the current difficulties architecture to ensure adequate protections. associated with the reliance on this requirement as Keywords: Data Protection, Targeted Advertising, E-Privacy Directive, Consent, EU Data Protection Framework © 2014 Damian Clifford Everybody may disseminate this article by electronic means and make it available for download under the terms and conditions of the Digital Peer Publishing Licence (DPPL). A copy of the license text may be obtained at http://nbn-resolving. de/urn:nbn:de:0009-dppl-v3-en8. This article may also be used under the Creative Commons Attribution-Share Alike 3.0 Unported License, available at h t t p : // creativecommons.org/licenses/by-sa/3.0/. Recommended citation: Damian Clifford, EU Data Protection Law and Targeted Advertising: Consent and the Cookie Monster - Tracking the crumbs of online user behaviour 5 (2014) JIPITEC 194, para 1. -
The Google Online Marketing Challenge: Real Clients, Real Money, Real Ads and Authentic Learning
Information Systems Education Journal (ISEDJ) 12 (6) ISSN: 1545-679X November 2014 The Google Online Marketing Challenge: Real Clients, Real Money, Real Ads and Authentic Learning John S. Miko [email protected] School of Business Saint Francis University Loretto, PA 15940 Abstract Search marketing is the process of utilizing search engines to drive traffic to a Web site through both paid and unpaid efforts. One potential paid component of a search marketing strategy is the use of a pay-per-click (PPC) advertising campaign in which advertisers pay search engine hosts only when their advertisement is clicked. This paper describes a class exercise utilizing the Google Online Marketing Challenge (GOMC) to teach search marketing and PPC concepts. The GOMC is a global collegiate competition in which student teams utilize a $250 budget provided by Google to design, implement, and monitor a PPC campaign for an actual small business client. This paper argues that the GOMC is an effective exercise to teach search marketing and PPC terminology, skills, and techniques and demonstrates many of the characteristics present in authentic learning environments. Keywords: Search marketing, pay-per-click advertising, search engine, authentic learning 1. INTRODUCTION model in which advertisers pay online hosts, typically but not exclusively, search engines, Search marketing is the process of gaining only when their advertisement is clicked by a traffic and visibility from search engines through potential customer (Sullivan, 2010). One of the both paid and unpaid efforts (Sherman, 2006). most successful and widely used pay-per-click Under search marketing, unpaid efforts generally search marketing programs in the world is fall under the category of Search Engine Google’s Adwords (Kiss, 2010). -
Online and Mobile Advertising: Current Scenario, Emerging Trends, and Future Directions
Marketing Science Institute Special Report 07-206 Online and Mobile Advertising: Current Scenario, Emerging Trends, and Future Directions Venkatesh Shankar and Marie Hollinger © 2007 Venkatesh Shankar and Marie Hollinger MSI special reports are in draft form and are distributed online only for the benefit of MSI corporate and academic members. Reports are not to be reproduced or published, in any form or by any means, electronic or mechanical, without written permission. Online and Mobile Advertising: Current Scenario, Emerging Trends, and Future Directions Venkatesh Shankar Marie Hollinger* September 2007 * Venkatesh Shankar is Professor and Coleman Chair in Marketing and Director of the Marketing PhD. Program at the Mays Business School, Texas A&M University, College Station, TX 77843. Marie Hollinger is with USAA, San Antonio. The authors thank David Hobbs for assistance with data collection and article preparation. They also thank the MSI review team and Thomas Dotzel for helpful comments. Please address all correspondence to [email protected]. Online and Mobile Advertising: Current Scenario, Emerging Trends and Future Directions, Copyright © 2007 Venkatesh Shankar and Marie Hollinger. All rights reserved. Online and Mobile Advertising: Current Scenario, Emerging Trends, and Future Directions Abstract Online advertising expenditures are growing rapidly and are expected to reach $37 billion in the U.S. by 2011. Mobile advertising or advertising delivered through mobile devices or media is also growing substantially. Advertisers need to better understand the different forms, formats, and media associated with online and mobile advertising, how such advertising influences consumer behavior, the different pricing models for such advertising, and how to formulate a strategy for effectively allocating their marketing dollars to different online advertising forms, formats and media.