E Cost of Ad Blocking Pagefair and Adobe 2015 Ad Blocking Report
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Social Media Analytics
MEDIA DEVELOPMENT Social media analytics A practical guidebook for journalists and other media professionals Imprint PUBLISHER EDITORS Deutsche Welle Dr. Dennis Reineck 53110 Bonn Anne-Sophie Suntrop Germany SCREENSHOTS RESPONSIBLE Timo Lüge Carsten von Nahmen Helge Schroers Petra Berner PUBLISHED AUTHOR June 2019 Timo Lüge © DW Akademie MEDIA DEVELOPMENT Social media analytics A practical guidebook for journalists and other media professionals INTRODUCTION Introduction Having a successful online presence is becoming more and In part 2, we will look at some of the basics of social media more important for media outlets all around the world. In analysis. We’ll explore what different social media metrics 2018, 435 million people in Africa had access to the Internet mean and which are the most important. and 191 million of them were using social media.1 Today, Africa is one of the fastest growing regions for Internet access and Part 3 looks briefly at the resources you should have in place social media use. to effectively analyze your online communication. For journalists, this means new and exciting opportunities to Part 4 is the main part of the guide. In this section, we are connect with their › audiences. Passive readers, viewers and looking at Facebook, Twitter, YouTube and WhatsApp and will listeners are increasingly becoming active participants in a show you how to use free analytics tools to find out more dialogue that includes journalists and other community mem- about your communication and your audience. Instagram is bers. At the same time, social media is consuming people’s not covered in this guide because, at the time of writing, only attention: Time that used to be spent listening to the radio very few DW Akademie partners in Africa were active on the is now spent scrolling through Facebook, Twitter, Instagram, platform. -
Global Compliance of Cookie-Bassed Web Analytics Activities
Global compliance of GLOBALcookie-bassed COMPLIANCEweb analytics oactivitiesf cookie-based web analytics activities Finding a cross-border compliance solution [Version 3.0 (April 2012). for cookie-based web analytics activities should be on the agenda of every company doing business online, as well as web analytics software vendors, online content publishers and online advertisers. This paper focuses on EU cookie regulations, US-based Do Not Track initiatives and other worldwide privacy initiatives, in search of a series of steps to aid us in achieving global compliance. INDEX 1 The technical and business need for 5 cookies A world built on cookies 5 Cookie types and threats 6 2 The social dilemma 9 3 A short history of worldwide cookie- 11 related privacy protection 4 The EU regulatory challenge 15 Opt-out vs. Opt-in 15 Yes I do, Don´t I? 16 Calling a spade a spade: national 17 implementations Which law applies to you? 19 5 Technical and legal solutions for 21 cross-border compliance of web analytics activities A proposed approach to the new 21 A document by legal framework Divisadero. All rights reserved. 21 www.divisadero.eu Building a minimum common denominator Author Technical and practical solutions 23 Sergio Maldonado Design by ANNEX: Cookie inventory and 25 Alexia Méndez 6 classification audit form Global compliance of cookie-based web analytics activities 3 1. THE TECHNICAL AND BUSINESS NEED FOR COOKIES sessions, registrations and logins, online banking sessions, electronic government applications… and virtually every online action that goes beyond user-dissociated displays of information. But cookies are also used for other purposes: by allowing us to tie multiple page visualizations to the same anonymous browser, they enable online audience measurement concepts such as “visit” and “visitor”. -
The Impact of Ad-Blockers on Online Consumer Behavior
Marketing Science Institute Working Paper Series 2021 Report No. 21-119 The Impact of Ad-blockers on Online Consumer Behavior Vilma Todri “The Impact of Ad-blockers on Online Consumer Behavior” © 2021 Vilma Todri MSI Working Papers are Distributed for the benefit of MSI corporate and academic members and the general public. Reports are not to be reproduced or published in any form or by any means, electronic or mechanical, without written permission. Marketing Science Institute Working Paper Series The Impact of Ad-blockers on Online Consumer Behavior Vilma Todri Goizueta Business School, Emory University, Atlanta, GA 30322 [email protected] Digital advertising is on track to become the dominant form of advertising but ad-blocking technologies have recently emerged posing a potential threat to the online advertising ecosystem. A significant and increasing fraction of Internet users has indeed already started employing ad-blockers. However, surprisingly little is known yet about the effects of ad-blockers on consumers. This paper investigates the impact of ad- blockers on online search and purchasing behaviors by empirically analyzing a consumer-level panel dataset. Interestingly, the analyses reveal that ad-blockers have a significant effect on online purchasing behavior: online consumer spending decreases due to ad-blockers by approximately $14:2 billion a year in total. In examining the underlying mechanism of the ad-blocker effects, I find that ad-blockers significantly decrease spending for brands consumers have not experienced before, partially shifting spending towards brands they have experienced in the past. I also find that ad-blockers spur additional unintended consequences as they reduce consumers' search activities across information channels. -
Google Analytics and PPC Specialist
Please reply only by email to: [email protected] Google Analytics and PPC Specialist Company: StepForth Web Marketing Inc. Job Location: Victoria, BC Skills Required Web Analytics, Google Analytics, Analytics Account Manager, Google AdWords, Advanced Microsoft Excel and Word skills Career Description If you are Google Analytics and Google AdWords certified, have analytics experience and are enthusiastic about pursuing an analytics and PPC career then please read on. Position: contract work at first to confirm the quality of your work and then a full time position with benefits Wage: The contracting wage will be between $25 and $45 per hour depending on credentials, references and experience. The salary will be between $45,000 and $50,000 per year plus benefits and bonuses to start. There is a lot of room for growth and salary increases for this position. What you need for this position: • One to two years of experience in web analytics methodologies such as experimentation and testing, advanced segmentation and analysis. • Mid-level expertise in SEM (Search Engine Marketing) / PPC (Pay Per Click) strategies and a minimum one year experience managing SEM/PPC and SEO campaigns / efforts. • Excellent communication skills and ability to interact and manage the expectations of the Client, vendors, and internal resources with all levels of clients and technical resources. • Proactively identifies issues and escalates when appropriate. • Leads and contributes to improvements in processes (technical or business) for marketing experiments, reporting and analysis. • Has a natural inclination, and passion to grow by making things better for Clients and our company. • Manages clients' expectations from the start of a relationship through the life cycle of the relationship. -
Will Ad Blocking Break the Internet?
NBER WORKING PAPER SERIES WILL AD BLOCKING BREAK THE INTERNET? Ben Shiller Joel Waldfogel Johnny Ryan Working Paper 23058 http://www.nber.org/papers/w23058 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 January 2017 Johnny Ryan is an employee of PageFair, a firm that measures the extent of ad blocking and offers ad-recovery technologies that enable publishers to display ads in a manner that adblockers cannot block. Neither Shiller nor Waldfogel has received any compensation for the research in the paper. PageFair was allowed to review the paper for accuracy but did not have control over the paper's findings nor conclusions. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2017 by Ben Shiller, Joel Waldfogel, and Johnny Ryan. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Will Ad Blocking Break the Internet? Ben Shiller, Joel Waldfogel, and Johnny Ryan NBER Working Paper No. 23058 January 2017 JEL No. L81,L82 ABSTRACT Ad blockers allow Internet users to obtain information without generating ad revenue for site owners; and by 2016 they were used by roughly a quarter of site visitors. Given the ad-supported nature of much of the web, ad blocking poses a threat to site revenue and, if revenue losses undermine investment, a possible threat to consumers' access to appealing content. -
Web Analytics Tools and Benefits for Entrepreneurs
Web analytics tools and benefits for entrepreneurs LAHTI UNIVERSITY OF APPLIED SCIENCES Degree programme in Business Information Technology Bachelor’s Thesis Autumn 2017 Cao Truong Hoang Phuong Nguyen Thi Huyen Trang Lahti University of Applied Sciences Degree programme in Business Information Technology Cao Truong, Hoang Phuong Nguyen Thi, Huyen Trang: Web analytics tools and benefits for entrepreneurs Bachelor’s Thesis in Business Information Technology, 79 pages Autumn 2017 ABSTRACT Online marketing nowadays is not an unfamiliar phenomenon anymore but entrepreneurs may not utilize it to bring out the best in their business. All business companies have their own website but most of them only use it as an advertisement tools or a news tools. However, web analytics tools are designed to change that and help entrepreneurs gathering useful data from their websites. The purpose of the thesis is to provide understanding about what web analytics tools are and they can use them to enhance their business strategy. The thesis will focus on deductive approach and make a conclusion through qualitative research. Google analytics tools and Woopra analytics tools will be used as a demonstration to how to use web analytics tools and how the analysis process can help making proper adjustment to the business. Keywords: Online marketing, data analysis, web analytics, web analytics tools, Google Analytics, Woopra TABLE OF CONTENTS 1 INTRODUCTION 1 1.2 Thesis structure 2 2 RESEARCH METHODS 4 2.1 Objectives 4 2.2 Research approach 4 2.3 Research methodology -
What Are Kernel-Mode Rootkits?
www.it-ebooks.info Hacking Exposed™ Malware & Rootkits Reviews “Accessible but not dumbed-down, this latest addition to the Hacking Exposed series is a stellar example of why this series remains one of the best-selling security franchises out there. System administrators and Average Joe computer users alike need to come to grips with the sophistication and stealth of modern malware, and this book calmly and clearly explains the threat.” —Brian Krebs, Reporter for The Washington Post and author of the Security Fix Blog “A harrowing guide to where the bad guys hide, and how you can find them.” —Dan Kaminsky, Director of Penetration Testing, IOActive, Inc. “The authors tackle malware, a deep and diverse issue in computer security, with common terms and relevant examples. Malware is a cold deadly tool in hacking; the authors address it openly, showing its capabilities with direct technical insight. The result is a good read that moves quickly, filling in the gaps even for the knowledgeable reader.” —Christopher Jordan, VP, Threat Intelligence, McAfee; Principal Investigator to DHS Botnet Research “Remember the end-of-semester review sessions where the instructor would go over everything from the whole term in just enough detail so you would understand all the key points, but also leave you with enough references to dig deeper where you wanted? Hacking Exposed Malware & Rootkits resembles this! A top-notch reference for novices and security professionals alike, this book provides just enough detail to explain the topics being presented, but not too much to dissuade those new to security.” —LTC Ron Dodge, U.S. -
An Investigation Into Better Techniques for Geo-Targeting by Shane Elliot Cruz
An Investigation into Better Techniques for Geo-Targeting by Shane Elliot Cruz Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of BARKER Master of Engineering in Electrical Engineering and Computer Science at the ASSACH NSTITUTE OF TERHNOLOGY MASSACHUSETTS INSTITUTE OF TECHNOLOGY 1 June 2002 JUL 3 2002 LIBRARIES © Shane Elliot Cruz, MMII. All rights reserved. The author hereby grants to MIT permission to reproduce and distribute publicly paper and electronic copies of this thesis document in whole or in part. A uthor ............... Department of Electrical Engineering and Computer c-ene May 17, 2002 Certified by.............................. Brian K. Smith Associate Professor, MIT Media Laboratory Thesis Supervisor Accepted by .................... Arthur C. Smith Chairman, Department Committee on Graduate Students 2 An Investigation into Better Techniques for Geo-Targeting by Shane Elliot Cruz Submitted to the Department of Electrical Engineering and Computer Science on May 17, 2002, in partial fulfillment of the requirements for the degree of Master of Engineering in Electrical Engineering and Computer Science Abstract This thesis discusses the possibility of determining the geographic location of Internet hosts solely from IP address information. The design, implementation, and evalua- tion of several unique components for geo-targeting led to an understanding of the strength and weakness of each strategy. Upon realization of the pros and cons of the location mapping designs, a new system was built that combines the best features of each technique. An overall evaluation of each component and the final system is then presented to demonstrate the accuracy gained with the use of a Domain-Based Corn- ponent Selection methodology. -
Real-Time Web Analytics with Kinesis Data Analytics
Real-Time Web Analytics with Kinesis Data Analytics AWS Implementation Guide Ryan Nienhuis Chris Marshall Tom Horton Steve Morad March 2018 Last updated: October 2019 (see revisions) Copyright (c) 2019 by Amazon.com, Inc. or its affiliates. Real-Time Web Analytics with Kinesis Data Analytics is licensed under the terms of Apache License Version 2.0 available at https://www.apache.org/licenses/LICENSE-2.0 Amazon Web Services – Real-Time Web Analytics with Kinesis Data Analytics October 2019 Contents Overview ................................................................................................................................... 3 Cost ........................................................................................................................................ 4 Architecture Overview........................................................................................................... 5 Solution Components ............................................................................................................... 6 Beacon Code .......................................................................................................................... 6 Metric Headers .................................................................................................................. 7 Beacon Web Servers .............................................................................................................. 7 Amazon Kinesis Data Analytics Application........................................................................ -
A Review of Methodologies for Analyzing Websites
141 Chapter VIII A Review of Methodologies for Analyzing Websites Danielle Booth Pennsylvania State University, USA Bernard J. Jansen Pennsylvania State University, USA ABSTRACT This chapter is an overview of the process of Web analytics for Websites. It outlines how basic visitor information such as number of visitors and visit duration can be collected using log files and page tagging. This basic information is then combined to create meaningful key performance indicators that are tailored not only to the business goals of the company running the Website, but also to the goals and content of the Website. Finally, this chapter presents several analytic tools and explains how to choose the right tool for the needs of the Website. The ultimate goal of this chapter is to provide methods for increasing revenue and customer satisfaction through careful analysis of visitor interaction with a Website. INTRODUCTION several metrics against each other to define visi- tor trends. KPIs use these dynamic numbers to Web analytics is the measure of visitor behavior get an in-depth picture at visitor behavior on a on a Website. However, what kind of information site. This information allows businesses to align is available from Website visitors, and what can their Websites’ goals with their business goals be learned from studying such information? By for the purpose of identifying areas of improve- collecting various Web analytics metrics, such ment, promoting popular parts of the site, testing as number of visits and visitors and visit dura- new site functionality, and ultimately increasing tion, one can develop key performance indicators revenue. -
Understanding Ad Blockers
Understanding Ad Blockers A Major Qualifying Project Submitted to the Faculty of Worcester Polytechnic Institute In partial fulfillment of the requirements for the Degree of Bachelor of Science In Computer Science By _________________________________ Doruk Uzunoglu March 21, 2016 _______________________ Professor Craig E. Wills, Project Advisor Professor and Department Head Department of Computer Science ABSTRACT This project aims to provide useful information for users and researchers who would like to learn more about ad blocking. Three main research areas are explored in this project. The first research area provides general information about ad blocking tools and aims to explore ad blockers from a user’s perspective. The second research area provides analyses regarding thirdparty sites that appear on popular firstparty sites in order to explore the behavior of thirdparties. Finally, the third research area provides analyses regarding filter lists, which are sets of ad filtering rules used by ad blocking tools. The third research area aims to convey the differences and similarities between individual filter lists as well as sets of filter lists that form the defaults of ad blocking tools. 1 ACKNOWLEDGEMENTS I would like to thank Professor Craig Wills for advising my project, providing insight, and gathering the popular thirdparty domains data which I analyzed as part of this project. In addition, I would like to thank Jinyan Zang for sharing the thirdparty data regarding mobile apps, which they have gathered as part of their 2015 paper named “Who Knows What About Me? A Survey of Behind the Scenes Personal Data Sharing to Third Parties by Mobile Apps.” The data provided by Jinyan Zang was also analyzed as part of this project. -
22:630:679 COURSE TITLE: Web Analytics with Real World Applications
Marketing COURSE NUMBER: 22:630:679 COURSE TITLE: Web Analytics with Real World Applications COURSE DESCRIPTION To survive and excel in today’s economy, companies need to focus on spending their marketing and advertising dollars more effectively – by validating the return on investment (ROI) of these investments. Digital marketing has proven to be a necessary channel and one of the most effective ways to showcasing brand, reaching customers and building loyalty. The effectiveness of digital marketing needs to be accompanied by good digital analytics, which through data acquisition, exploration, testing, deduction and application, produces insights to drive continuous improvements of the digital marketing programs and to maximize returns. This course teaches digital analytics with a focus on web analytics through practical applications. It provides a broad overview of key digital analytics framework, strategies, concepts, issues, challenges and tools. Topics covered include: how to choose a web analytics tool; metrics and key performance indicators; best ways to analyze effectiveness of blogs, marketing campaigns, SEO, SEM, emails; how to utilize quantitative, qualitative and competitive tools to derive actionable insights; how to optimize web sites by incorporate testing and experimentation; how to create and manage an analytics culture for your organization; emerging analytics in social, mobile and video; best practices and pitfalls in web analytics; best practices on creating a data-driven culture and process. COURSE MATERIALS Web Analytics 2.0 – The Art of Online Accountability & Science of Customer Centricity. Avinash Kaushik, Wiley Publishing, Inc. 2010, ISBN 978-470-52939-3 (Abbreviated as WA 1 LEARNING GOALS AND OBJECTIVES 1. Provide a framework to help marketers and businesses (and students) on evaluate the effectiveness of their website by improving their companies’ bottom line.