Adwords-Reporting teaching - Reporting and Analysis Advanced test Updated: 2024 | ||||||||
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Exam Code: Adwords-Reporting Reporting and Analysis Advanced test teaching January 2024 by Killexams.com team | ||||||||
Adwords-Reporting Reporting and Analysis Advanced Exam Exam: Adwords-Reporting Reporting and Analysis Advanced Exam Exam Details: - Number of Questions: The test consists of approximately 100 multiple-choice questions. - Time: Candidates are given 120 minutes to complete the exam. Course Outline: The Reporting and Analysis Advanced test is designed to assess professionals' advanced knowledge and skills in using Google AdWords reporting and analysis tools to measure and optimize advertising campaigns. The course covers the following topics: 1. Introduction to AdWords Reporting and Analysis - Overview of reporting and analysis in Google AdWords - Importance of data-driven decision making - Understanding key metrics and dimensions in AdWords reporting - Overview of Google Analytics integration with AdWords 2. Customizing and Automating Reports - Creating custom reports in AdWords - Configuring report settings and filters - Scheduling and automating report generation - Using templates and saved reports for efficient reporting 3. Advanced Data Analysis Techniques - Segmentation and data slicing for deeper insights - Analyzing performance by campaign, ad group, and keyword - Analyzing search terms and keyword performance - Analyzing ad performance and ad testing results 4. Conversion Tracking and Attribution Modeling - Setting up conversion tracking in AdWords - Understanding attribution models and their impact on data analysis - Analyzing conversion data and assigning value to conversions - Cross-device tracking and attribution challenges 5. Performance Measurement and Optimization Strategies - Performance measurement frameworks and goal setting - Analyzing campaign performance trends and patterns - Identifying opportunities for campaign optimization - Using data insights to Improve campaign ROI Exam Objectives: The test aims to assess candidates' understanding and proficiency in the following areas: 1. Knowledge of AdWords reporting and analysis tools and features 2. Competence in customizing and automating reports for efficient data analysis 3. Proficiency in advanced data analysis techniques for campaign optimization 4. Understanding of conversion tracking and attribution modeling 5. Ability to use data insights to measure campaign performance and make data-driven decisions Exam Syllabus: The test syllabus covers the following topics: - Introduction to AdWords Reporting and Analysis - Overview of reporting and analysis in Google AdWords - Importance of data-driven decision making - Understanding key metrics and dimensions in AdWords reporting - Overview of Google Analytics integration with AdWords - Customizing and Automating Reports - Creating custom reports in AdWords - Configuring report settings and filters - Scheduling and automating report generation - Using templates and saved reports for efficient reporting - Advanced Data Analysis Techniques - Segmentation and data slicing for deeper insights - Analyzing performance by campaign, ad group, and keyword - Analyzing search terms and keyword performance - Analyzing ad performance and ad testing results - Conversion Tracking and Attribution Modeling - Setting up conversion tracking in AdWords - Understanding attribution models and their impact on data analysis - Analyzing conversion data and assigning value to conversions - Cross-device tracking and attribution challenges - Performance Measurement and Optimization Strategies - Performance measurement frameworks and goal setting - Analyzing campaign performance trends and patterns - Identifying opportunities for campaign optimization - Using data insights to Improve campaign ROI Candidates are expected to have a comprehensive understanding of these syllabus to successfully pass the test and demonstrate their proficiency in advanced reporting and analysis techniques using Google AdWords. | ||||||||
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Google Search Console will stop reporting on the product search results within the Performance reports in Search Console and the Search Console API starting in January 2024. Those websites that have product pages will soon no longer be able to click on the search appearance filter and see the product results option. Announcement. Google posted this news at around 3:45 am ET on X, saying, “Earlier this year, Search Console split the Product results search appearance into two: Merchant listings and Product snippets. As a result, in January 2024 we’ll stop reporting the Product results search appearance, both in the Performance report and the API.” Here is that post: More details. Google is referring to back in March when Google Search Console broke out Merchant listings and Product snippets appearances. The then new Merchant listings and Product snippets search appearances can be viewed in two places in Search Console:
Why they care. If you use the product results search appearance filter within the performance reports in Google Search Console, you need to get ready for it to go away. Less data is never good but Google will be removing that filter in about a month. However, you should be able to access this data in the merchant center reports in Search Console. Keep it Clean. Please avoid obscene, vulgar, lewd, racist or sexually-oriented language. Google has reached a deal in a class-action lawsuit accusing it of making an Orwellian grab of “potentially embarrassing” data from tens of millions of people using the company’s “Incognito mode” and other private browsing, according to a court filing. The three Californians and two others who sued the Mountain View digital-advertising giant on behalf of themselves and legions of other internet users in 2020 claimed the firm captured the data despite saying it would not. Google, in a bid last year to get the case thrown out, argued in a court filing that it “never made any such promise.” The plaintiffs were seeking for themselves and other affected internet users the return of what they claim are billions of dollars in profits Google made from the browsing data, plus unspecified damages of more than $5,000 for each plaintiff and affected user. In December 2022, a judge denied the plaintiffs’ attempt to entitle tens of millions of users to receive damages in the case. The terms of the settlement, which must be approved by a judge, were not revealed in the joint court filing last week by both sides informing the court about the deal. Two days after the filing, Judge Yvonne Gonzalez Rogers cancelled the trial planned for Jan. 29. The lawsuit filed in Oakland U.S. District Court alleged that Google’s data practices gave it and its employees “power to learn intimate details about individuals’ lives, interests, and internet usage.” The company, the lawsuit claimed, “knows who your friends are, what your hobbies are, what you like to eat, what movies you watch, where and when you like to shop, what your favorite vacation destinations are, what your favorite color is and even the most intimate and potentially embarrassing things you browse on the internet — regardless of whether you follow Google’s advice to keep your activities ‘private.’” “Google has made itself an unaccountable trove of information so detailed and expansive that George Orwell could never have dreamed it.” In August, Gonzalez Rogers issued an order agreeing with the plaintiffs that anyone using Incognito mode in Google’s Chrome browser could reasonably deduce from the opening screen that Google would not take their data. The company’s “Search & Browse Privately” help page — for users of Chrome and other browsers including Safari — said, “you’re in control of what information you share with Google when you search,” the judge noted. Although Google had represented publicly since mid-2016 that it would not collect user information during purportedly private browsing, Gonzalez Rogers wrote that the firm “did so anyway, collecting, aggregating, and selling plaintiffs’ private browsing data without their consent.” Even when people used private modes or Incognito in other companies’ browsers, when they visited a website using Google services, the company’s software directed the user’s browser “to send a separate communication to Google,” Gonzalez Rogers wrote in her August order. Google and the plaintiffs — Chasom Brown, Christopher Castillo and Monique Trujillo of California, William Byatt of Florida and Jeremy Davis of Arkansas — earlier agreed that the class of people using private browsing modes since mid-2016 numbers in the tens of millions, the judge noted in an earlier order. The plaintiffs claimed that Google linked users’ private browsing history to the user profiles the company builds for targeted advertising. Google denied making those connections, Gonzalez Rogers said. Evidence submitted by the plaintiffs included internal Google communications stating that Google stores users’ regular and private browsing data in the same logs, uses those “mixed logs” to send users personalized ads, and that even if individual data points are anonymous on their own, that Google could aggregate them to identify specific users with a high probability of accuracy, the judge wrote. Google in a court filing last year argued that its privacy policy “expressly disclosed” the ways data would be collected and used, and that the plaintiffs agreed to it. In a statement to this news organization last year, Google said it strongly disputed the lawsuit’s claims. The firm said Incognito in Chrome gave users “the choice to browse the internet without (their) activity being saved to (their) browser or device,” but declined to address the claims that the company could identify users by mixing private and ordinary browsing data. Gonzalez Rogers in a December 2022 ruling cited evidence introduced by Google indicating users’ awareness of the company’s private-browsing data harvesting varied widely. The judge declined to allow tens of millions of users to be certified as a class for the purpose of receiving any damages payments. But Gonzalez Rogers did certify those users as a class regarding the plaintiffs’ demand for a court order barring Google from “intercepting, tracking, or collecting” data from users’ private browsing. The joint court filing last week said Google and the plaintiffs reached the deal through mediation, and that they expected to present the settlement agreement for court approval by late February. Google recently released Gemini, its most powerful AI model to date, in the tech giant’s latest effort to catch up to Microsoft-backed rival OpenAI in the burgeoning AI education arms race. Unlike OpenAI’s GPT technology, which is trained on text, images, etc. separately, Gemini was trained simultaneously on text, video, audio, and code, which Google believes will give its new AI the upper hand when it comes to working with images, audio, video etc. However, like so much with the rapid development of AI, exactly what Gemini is, how you can use it, and how all of this will impact education, is still a bit murky. To help sift through some of that, I’ve been experimenting with a version of Gemini and think it’s an impressive new model but not yet any kind of game-changer for educators. On the positive side, it does seem to have more resistance to cheating than ChatGPT (it repeatedly refused to write a paper for me when prompted). Here’s everything educators need to know about Gemini, Google’s new AI model, Gemini. What is Google's Gemini?Gemini is the latest and greatest AI model from Google, and if Google’s PR efforts are to be believed, a revolutionary piece of technology. Ultimately, the model will have three versions: Gemini Pro, which is already powering many Google tools, including its integrated chatbot Bard; Gemini Nano, which is designed to run off-line on Android devices; and Gemini Ultra, the most-powerful-but-yet-to-be-released version of Gemini. In Google’s tests, Gemini Ultra outperformed GPT-4 on standard AI benchmarks in 30 of 32 categories, including tests on subjects such as physics and professional law. However, some analysts point out this performance is not quite the slam dunk Google is billing it as. On many of the tests, Gemini Ultra only scored a little bit higher, and GPT-4 is currently available to the public while Gemini Ultra is not. As Bloomberg columnist Parmy Olson puts it: “In other words, Google’s top AI model has only made narrow improvements on something that OpenAI completed work on at least a year ago.” How Can I Use Gemini to Teach?Gemini is now powering Bard. So if you already have access to Bard, you’re all set. To get access to Bard visit bard.google.com from a personal Google account and you’ll be prompted to sign up. To use the tool you need to be over 18, and if you’re using a work Google account, access needs to be approved by an administrator. How Will Gemini Impact Education?As I said at the top, it’s not exactly a game-changer in the way ChatGPT was when it was released at the end of 2022. But to my eyes, Gemini-powered Bard is a clear improvement over the previous version. GPT-4 used to easily outshine Bard for my uses but now the two models are very close, and Bard might even be a little better. For example, I tried to get Bard to write a short discussion board post for me that was based on a prompt from one of my introductory composition classes. I wrote: “My teacher has asked me to write an essay about a character from a movie that inspired me. Can you write about how Luke Skywalker inspired me?” When Bard responded with suggestions and a potential outline, I wrote back, “Can’t you just write it for me?” Bard responded: “While I can definitely help you brainstorm and structure your essay, I wouldn't feel comfortable writing it entirely for you. The purpose of an essay is not only to showcase your understanding of a topic, but also to express your own unique voice and perspective.” Bard then offered to help as my “writing coach” and offered some solid, if basic, suggestions about how I might write the essay myself when prompted. “Identify specific qualities or moments in Luke's journey that resonated deeply with you,” Bard suggested. “Was it his initial yearning for adventure, his struggles with doubt and fear, his unwavering belief in the good within himself and others, or his eventual triumph over darkness? Think about how these qualities or moments have impacted your own life.” Overall, the proliferation of AI tools means the technology is ever more accessible to students and, at this point, almost hard to avoid. That makes it even more incumbent on us as teachers to work on teaching responsible AI use and exploring with students what exactly this should look like. Teachers and their students should also explore how AI can be helpful and detrimental as a study aid. Many of us are exploring these questions and having these conversations with colleagues — let’s remember to make students part of the conversation. Here's how you can do it on both Android and web: On Android:
On web:
Some important things to keep in mind before reporting spam:
Google is wrapping its head around the idea of being a generative AI company. The "code red" called in response to ChatGPT has had Googlers scrambling to come up with AI features and ideas. Once all the dust settles on that work, Google might turn inward and try to "optimize" the company with some of its new AI capabilities. With artificial intelligence being the hot new thing, how much of Google's, uh, natural intelligence needs to be there? A report at The Information says that AI might already be taking people's jobs at Google. The report cites people briefed on the plans and says Google intends to "consolidate staff, including through possible layoffs, by reassigning employees at its large customer sales unit who oversee relationships with major advertisers." According to the report, the jobs are being vacated because Google's new AI tools have automated them. The report says a future restructuring was apparently already announced at a department-wide Google Ads meeting last week. Google announced a "new era of AI-powered ads" in May, featuring a "natural-language conversational experience within Google Ads, designed to jump-start campaign creation and simplify Search ads." Google said its new AI could scan your website and "generate relevant and effective keywords, headlines, descriptions, images, and other assets," making the Google Ads chatbot one part designer and one part sales expert. One ad tool, Google's Performance Max (or "PMax" for short), got a generative AI boost after May's announcement and can now "create custom assets and scale them in a few clicks." First, it helps advertisers decide if an ad should be in places like YouTube, Search, Discover, Gmail, Maps, or banner ads on third-party sites. Then, it can just make the ad content, thanks to generative AI that can scan your website for material. (A human advertiser is still in the loop approving content—for now.) It's called "Performance Max" because variations of your ad are still left up to the machines, which can constantly remix your ads in real time using click-through rates as feedback. Google's official description is that "Assets are automatically mixed and matched to find the top performing combinations based on which Google Ads channel your ad is appearing on." Changing ads on the fly with immediate click-through-rate validation and A/B testing is a task that no person would have the time to do. Also, no one would want to pay a human to do this much work, so having an AI monitor your ad performance sounds like a smart solution. The report also notes another benefit of making AI do this work: "Because these tools don’t require much employee attention, they carry relatively few expenses, so the ad revenue carries a high-profit margin." The Information report says, "A growing number of advertisers have adopted PMax since [launch], eliminating the need for some employees who specialized in selling ads for a particular Google service, like search, working together to design ad campaigns for big customers." According to the report, as of a year ago, Google had about 13,500 people devoted to this kind of sales work, a huge chunk of the 30,000-strong ad division. These 13,500 people aren't necessarily all going to be affected, and those who are won't necessarily be laid off—they could be reassigned to other areas in Google. They should know the scale of Google Ad's big re-org soon. The report says, "Some employees expect the changes to be announced next month." Alphabet Inc.’s Google has agreed to settle a consumer-privacy lawsuit that alleged the company secretly tracked millions of people who thought they were browsing the internet privately, according to a Reuters report Thursday. The lawsuit sought at least $5 billion. Settlement terms were not disclosed, but the lawyers said they expected to present a formal settlement for court approval by Feb. 24, 2024. The plaintiffs claim Google’s GOOGL, -0.54% GOOG, -0.51% analytics, cookies and apps let the company track their activity even when they set Google’s Chrome browser to “Incognito” mode and other browsers to “private” browsing status. This, they assert, turned Google into an “unaccountable trove of information” to learn about their friends, shopping habits and “potentially embarrassing things” they sought online. Google and lawyers for the plaintiffs were not immediately available for comment.
Google has already made use of its advancements in generative artificial intelligence in its voice assistants, announcing Google Assistant with Bard this year. But the company could be planning an even bigger move with AI, according to a report from The Information. A new AI-based assistant, affectionately named "Pixie," could debut as soon as next year for Pixel devices. The report comes as Google's push to incorporate AI into its existing products is rapidly intensifying. The company released its latest and greatest AI model, Gemini, this month, and it's working on an even more powerful model called Gemini Ultra. And just as Gemini is starting to roll out, Google is already training a new Gemini 2 model, the report notes. Pixie (which could be an internal codename) would be a much more powerful version of Google Assistant, but it's unclear whether it would be an outright replacement for Google Assistant. That seems unlikely, but they don't know a whole lot about Google's plans yet. The Information spoke to "people with knowledge of the matter," who remained anonymous, so they don't have much to go on there. However, these people said that Pixie could first ship with the Pixel 9 and Pixel 9 Pro next year. Down the line, Google could bring the Pixie assistant to other, more affordable phones and watches. Though it isn't explicitly stated, they assume the Pixel Tablet would be on that list as well. Pixie will be smarter and potentially more personal than Google Assistant due to its ability to make better use of data on Pixel phones. That includes information from Google products and services, like Google Maps and Gmail, per the report. It's not hard to figure out why Google would want to make AI features exclusive to the Pixel lineup. Though Pixel market share is growing, Google is facing an uphill battle trying to steal more of it away from the best Android phones from Samsung and others. The company is similarly trying to make Bard, Gemini, and other AI products stand out from competitors, like OpenAI's ChatGPT. Pixie, and other AI features, could be a reason customers looking for artificial intelligence features end up choosing a Pixel phone. On the flip side, customers seeking a Pixel phone could end up using Google's AI features due to the deep integration available. Google already has experimented with AI on smartphones with Gemini Nano, a small version of Gemini that can use a phone's on-device processing. Those efforts will surely continue, whether it be with the rumored Pixie assistant or another feature. | ||||||||
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