How Automation Can Help You Manage and Grow Your Ads Business
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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. -
Google Data Collection —NEW—
Digital Content Next January 2018 / DCN Distributed Content Revenue Benchmark Google Data Collection —NEW— August 2018 digitalcontentnext.org CONFIDENTIAL - DCN Participating Members Only 1 This research was conducted by Professor Douglas C. Schmidt, Professor of Computer Science at Vanderbilt University, and his team. DCN is grateful to support Professor Schmidt in distributing it. We offer it to the public with the permission of Professor Schmidt. Google Data Collection Professor Douglas C. Schmidt, Vanderbilt University August 15, 2018 I. EXECUTIVE SUMMARY 1. Google is the world’s largest digital advertising company.1 It also provides the #1 web browser,2 the #1 mobile platform,3 and the #1 search engine4 worldwide. Google’s video platform, email service, and map application have over 1 billion monthly active users each.5 Google utilizes the tremendous reach of its products to collect detailed information about people’s online and real-world behaviors, which it then uses to target them with paid advertising. Google’s revenues increase significantly as the targeting technology and data are refined. 2. Google collects user data in a variety of ways. The most obvious are “active,” with the user directly and consciously communicating information to Google, as for example by signing in to any of its widely used applications such as YouTube, Gmail, Search etc. Less obvious ways for Google to collect data are “passive” means, whereby an application is instrumented to gather information while it’s running, possibly without the user’s knowledge. Google’s passive data gathering methods arise from platforms (e.g. Android and Chrome), applications (e.g. -
Google Certified Professional - Cloud Architect.Exam.57Q
Google Certified Professional - Cloud Architect.exam.57q Number : GoogleCloudArchitect Passing Score : 800 Time Limit : 120 min https://www.gratisexam.com/ Google Certified Professional – Cloud Architect (English) https://www.gratisexam.com/ Testlet 1 Company Overview Mountkirk Games makes online, session-based, multiplayer games for the most popular mobile platforms. Company Background Mountkirk Games builds all of their games with some server-side integration, and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk’s current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting. Solution Concept Mountkirk Gamesis building a new game, which they expect to be very popular. They plan to deploy the game’s backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database. Technical Requirements Requirements for Game Backend Platform 1. Dynamically scale up or down based on game activity 2. Connect to a managed NoSQL database service 3. Run customize Linux distro Requirements for Game Analytics Platform 1. Dynamically scale up or down based on game activity 2. Process incoming data on the fly directly from the game servers 3. Process data that arrives late because of slow mobile networks 4. Allow SQL queries to access at least 10 TB of historical data 5. Process files that are regularly uploaded by users’ mobile devices 6. -
GOOGLE ADVERTISING TOOLS (FORMERLY DOUBLECLICK) OVERVIEW Last Updated October 1, 2019
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
Create Live Dashboards with Google Data Studio
Make Your Library's Data Accessible and Usable Create Live Dashboards with Google Data Studio Kineret Ben-Knaan & Andrew Darby | University of Miami Libraries INTRODUCTION OBJECTIVES AND GOALS STRATEGY AND METHODS PROJECT STATUS This poster presents the implementation of a The aim of the project is to implement a shared and Customized dashboards have been built and shared with collaborative approach and solution for data gathering, straightforward data collection platform, which will harvest Our solution involves the following: several library departments. So far, we have connected data consolidation and most importantly, data multiple, diverse data sources and present statistics in a or imported manually the following isolated data sources ● Move to shared Google Sheets and Forms for any accessibility through a live connection to free Google clear and visually engaging manner. into Google Data Studio: Data Studio dashboards. local departmental data collection, then connect these Our key goals are: sheets to Google Data Studio, a free tool that allows Metric/Data Source by type of Google Data Studio Connector Units at the University of Miami Libraries (UML) have ● To facilitate the use of data from isolated data sources, users to create customized and shareable data long been engaged in data collection activities. Data from Metrics Data Sources Real-time connection Imported manually into visualization dashboards. and Systems & automatically Google Data Studio (on instructional sessions, consultations and all types of user not only to encourage evidence-based decision updated a weekly bases) ● Import and connect other library data sources to interactions have routinely been gathered. Other making, but also to better communicate how UM Instructional & Workshops Google Sheets Yes assessment measures, including surveys and user Libraries’ activities support student learning and faculty Google Data Studio. -
Economic and Social Impacts of Google Cloud September 2018 Economic and Social Impacts of Google Cloud |
Economic and social impacts of Google Cloud September 2018 Economic and social impacts of Google Cloud | Contents Executive Summary 03 Introduction 10 Productivity impacts 15 Social and other impacts 29 Barriers to Cloud adoption and use 38 Policy actions to support Cloud adoption 42 Appendix 1. Country Sections 48 Appendix 2. Methodology 105 This final report (the “Final Report”) has been prepared by Deloitte Financial Advisory, S.L.U. (“Deloitte”) for Google in accordance with the contract with them dated 23rd February 2018 (“the Contract”) and on the basis of the scope and limitations set out below. The Final Report has been prepared solely for the purposes of assessment of the economic and social impacts of Google Cloud as set out in the Contract. It should not be used for any other purposes or in any other context, and Deloitte accepts no responsibility for its use in either regard. The Final Report is provided exclusively for Google’s use under the terms of the Contract. No party other than Google is entitled to rely on the Final Report for any purpose whatsoever and Deloitte accepts no responsibility or liability or duty of care to any party other than Google in respect of the Final Report and any of its contents. As set out in the Contract, the scope of our work has been limited by the time, information and explanations made available to us. The information contained in the Final Report has been obtained from Google and third party sources that are clearly referenced in the appropriate sections of the Final Report. -
Google-Forms-Table-Input.Pdf
Google Forms Table Input Tutelary Kalle misconjectured that norepinephrine picnicking calligraphy and disherit funnily. Inventible and perpendicular Emmy devilling her secureness overpopulating smokelessly or depolarize uncontrollably, is Josh gnathonic? Acidifiable and mediate Townie sneak slubberingly and single-foot his avowers high-up and bloodthirstily. You can use some code, but use this quantity is extremely useful at url and input table Google Forms Date more Time Robertorecchimurzoit. How god set wallpaper a Google Sheet insert a reliable data represent Data. 25 practical ways to use Google Forms in class school Ditch. To read add any question solve a google form using the plus button and wire change our question new to complex choice exceed The question screen shows Rows OptionsAnswer and Columns TopicQuestion that nothing be added in significant amount of example below shows a three-row otherwise four-column point question. How about insert text table in google forms for matrices qustions. Techniques using Add-ons Formulas Formatting Pivot Tables or Apps Script. Or the filetype operator Google searches a sequence of file formats see the skill in. To rest a SQLish syntax in fuel cell would return results from a such in Sheets. Google Form Responses Spreadsheet Has Blank Rows or No. How to seduce a Dynamic Chart in Google Newco Shift. My next available in input table, it against it with it and adds instrument to start to auto populate a document? The steps required to build a shiny app that mimicks a Google Form. I count a google form complete a multiple type question. Text Field React component Material-UI. -
Understanding In-App Header Bidding: the Essentials
UNDERSTANDING IN-APP HEADER BIDDING THE ESSENTIALS INTRODUCTION Consumers downloaded 204 billion apps in 2019,1 as users around the world shifted to mobile-first browsing behaviors. This shift in user behavior has driven advertisers to follow their customers into app environments, creating a booming opportunity for app developers. Three key trends have impacted how advertisers have changed their investing strategies to give mobile publishers a unique opportunity: 1 MOBILE AD SPEND IS ON THE RISE Digital ad spend was expected to surpass traditional media, including TV, for the first time in 2019,2 with the majority of digital ad spend going to mobile devices (including both mobile web and in-app). 2 BRANDS PREFER TO BUY APPS PROGRAMMATICALLY Programmatic strategies tend to get a larger portion of in-app advertising budgets. On average, 66% of in-app budgets go to programmatic direct or open exchange strategies as compared to 34% for direct buy.3 As a result, mobile advertising now accounts for the majority of global programmatic ad spend, with over 80% of all programmatic display dollars in the US and UK going to mobile.4 3 PROGRAMMATIC IN-APP BUDGETS ARE GROWING As buyers shift their spend to mobile channels, programmatic in-app is experiencing some of the biggest opportunities. Recent research found that 30% of buyers planned to grow their programmatic direct in-app budgets by more than 10% the following year.5 As mobile advertising continues to grow, app publishers who want to scale effectively and get a slice of growing brand dollars will embrace programmatic selling through header bidding. -
Why Google Dominates Advertising Markets Competition Policy Should Lean on the Principles of Financial Market Regulation
Why Google Dominates Advertising Markets Competition Policy Should Lean on the Principles of Financial Market Regulation Dina Srinivasan* * Since leaving the industry, and authoring The Antitrust Case Against Face- book, I continue to research and write about the high-tech industry and competition, now as a fellow with Yale University’s antitrust initiative, the Thurman Arnold Pro- ject. Separately, I have advised and consulted on antitrust matters, including for news publishers whose interests are in conflict with Google’s. This Article is not squarely about antitrust, though it is about Google’s conduct in advertising markets, and the idea for writing a piece like this first germinated in 2014. At that time, Wall Street was up in arms about a book called FLASH BOYS by Wall Street chronicler Michael Lewis about speed, data, and alleged manipulation in financial markets. The controversy put high speed trading in the news, giving many of us in advertising pause to appre- ciate the parallels between our market and trading in financial markets. Since then, I have noted how problems related to speed and data can distort competition in other electronic trading markets, how lawmakers have monitored these markets for con- duct they frown upon in equities trading, but how advertising has largely remained off the same radar. This Article elaborates on these observations and curiosities. I am indebted to and thank the many journalists that painstakingly reported on industry conduct, the researchers and scholars whose work I cite, Fiona Scott Morton and Aus- tin Frerick at the Thurman Arnold Project for academic support, as well as Tom Fer- guson and the Institute for New Economic Thinking for helping to fund the research this project entailed. -
Google/ Doubleclick REGULATION (EC) No 139/2004 MERGER PROCEDURE Article 8(1)
EN This text is made available for information purposes only. A summary of this decision is published in all Community languages in the Official Journal of the European Union. Case No COMP/M.4731 – Google/ DoubleClick Only the English text is authentic. REGULATION (EC) No 139/2004 MERGER PROCEDURE Article 8(1) Date: 11-03-2008 COMMISSION OF THE EUROPEAN COMMUNITIES Brussels, 11/03/2008 C(2008) 927 final PUBLIC VERSION COMMISSION DECISION of 11/03/2008 declaring a concentration to be compatible with the common market and the functioning of the EEA Agreement (Case No COMP/M.4731 – Google/ DoubleClick) (Only the English text is authentic) Table of contents 1 INTRODUCTION .....................................................................................................4 2 THE PARTIES...........................................................................................................5 3 THE CONCENTRATION.........................................................................................6 4 COMMUNITY DIMENSION ...................................................................................6 5 MARKET DESCRIPTION......................................................................................6 6 RELEVANT MARKETS.........................................................................................17 6.1. Relevant product markets ............................................................................17 6.1.1. Provision of online advertising space.............................................17 6.1.2. Intermediation in -
International Journal of Soft Computing and Engineering
International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-2, July 2019 Implementation and Effective Utilization of Analytical Tools and Techniques in Knowledge Management Shivakumar. R knowledge is the knowledge that individuals in organizations Abstract: Knowledge management is a multidisciplinary know that they have and are conscious of it. approach to achieve organizational objectives by making best use The crucial element in any Knowledge Management of knowledge and information resources. Analytics is the process system is to ensure that tacit knowledge is captured and of systematic analysis of the past data/statistics and trying to converted to explicit knowledge. Moreover, it has been predict the future trends or data with various tools and techniques. With the advancement of technology and increasing competition, hypothesized that even explicit knowledge needs to be companies are prone to make better use of the information and converted into information that is meaningful and useful. analytics to sustain their position in the marketplace. Software as After all, mere data is not useful and only when data is a Service (SaaS) has become an important trend in organizations transformed into information and codified as knowledge is it in addition to that of the usual Excel and Google sheets analytics. useful. In this study, comparative analysis has been done between SPSS In today’s rapidly changing business world, it is critical for & Google Sheets Techniques and also Google data studio with business leaders to have the right insight and data to make the Tableau, Power BI & Google Sheets for data visualization right calls at the right time. -
Brand Safety Policy
BRAND SAFETY POLICY National Media Group, a division of Meredith Corporation, creates brands focused on providing you with destinations you can trust and rely on for every stage of your life to connect you to great content, products, and services, and, based on your engagement with us, customize your experience with us. Our mission is to be clear and transparent. That includes our Brand Safety policies and Brand suitability, as well as the controls we offer the consumers of our content and our advertisers. What is Brand Safety? ● TAG defines “Brand Safety” as the controls that companies in the digital advertising supply chain use to protect brands against negative impacts on consumer opinion associated with specific types of content and/or related loss of return on investment. Defining Brand Safety Vs. Brand Suitability per IAB ● Brand Safety solutions enable a brand to avoid content that is generally considered to be inappropriate for any advertising, and unfit for publisher monetization regardless of the advertisement or brand. This is where the 4A’s Brand Safety Floor categorization and IAB’s taxonomy classifications come into play. ○ For example, content that contains hate speech directed at a protected class would be inappropriate for any advertising. Likewise, content that promotes or glamorizes the consumption of illegal drugs would be inappropriate for any advertising. ● Brand Suitability solutions enable a brand to determine content for an individual advertiser’s goals. Brand Suitability solutions can either: a) help a brand to avoid content that is specifically inappropriate for its unique sensitivities and values but may be appropriate for another brand, or b) allow content that is aligned with a brand based on its context, sentiment, tone, creative messaging, and other qualifying factors.