Google Ads Apps Assessment Answers 2024
What Is Google Ads Apps Certification Exam?
Google Ads Apps Certification Exam is directed by Google by means of Skillshop which tests your comprehension of making Ad campaigns for Mobile Apps and optimizing these App campaigns. The Google Ads Apps course shows you how to make App campaigns, how to hoist the App campaigns, and how to optimize them to acquire maximum changes and benefit.
Google Ads Apps Assessment comprises a sum of 49 questions and you have 75 minutes to complete the exam. Once, you select and save an answer, you can't return and alter your answer. You need to score 70% or higher to pass and procure the testament. The authentication is legitimate for a time of 12 months and in the event that you fizzle in your first attempt, you can retake the Google Ads Apps Assessment Certification Exam within 24 hours.
Main requirements for applying for the Google Ads Apps Certification exam:
- (1) You should claim a Smartphone or Computer.
- (2) You ought to have a functioning Internet Connection.
- (3) You ought to have a free Google Account.
Course Modules Of The Google Ads Apps Assessment
There is a sum of 4 modules on which you are tested in this exam.
- (1) Grow your Business with App Campaigns.
- (2) Set App Campaigns up for Success.
- (3) Elevate your App Campaign.
- (4) Drive Growth past App Campaigns.
Key Features Of Google Ads Apps Certification Exam
The main highlights of this course are:
- (1) It is planned by Google itself so the information gave is excellent.
- (2) It gives a Certificate that has acknowledgment in the work business.
- (3) A client has unlimited admittance to the exam and it's thoroughly free.
Before you find the solutions underneath here are some things you should think about the exam.
Exam Name – Google Ads Apps Assessment Exam.
All out Questions and Time Limit – 49 Questions with 75 minutes to complete the whole exam.
Remember:
You will require a score of 70% or higher to pass
On the off chance that you end the assessment early or the timer runs out before you have addressed enough questions effectively, you won't pass and won't resume from the last known point of interest
You won't audit or alter your answers whenever you have moved to the following inquiry (or hit the submit button on the last inquiry)
You must stand by 1 day prior to retaking this google ads apps assessment on the off chance that you bombed your last attempt.
Note: All Correct Answers are Highlighted with Red Color.
Google Ads Apps Assessment Questions and Answers 2021
- (A) Follow best practices for uploading a diverse and comprehensive asset mix.
- (B) Introduce one asset type at a time, to eventually identify which type works best.
- (C) Improve and optimize the asset mix based on insights from the asset report.
- (D) Invest a lot of time reviewing the assets being used by similar businesses.
- (A) Building audience lists based on individual user emails.
- (B) Developing a list of campaign management recommendations.
- (C) Translating an app into multiple languages.
- (D) Developing a list of suitable potential markets for expansion.
- (A) Competition becomes more focused at a granular level.
- (B) The system works best when working from the largest dataset possible.
- (C) App campaigns don’t allow location targeting at a more granular level than country-level.
- (D) Users outside of the location target area might feel excluded.
- (A) User location
- (B) Message
- (C) Theme
- (D) Ad schedule
- (E) Audience
- (1) Build user base and installs at scale.
- (2) Add campaigns that focus on higher-value installs by focusing on in-app actions.
- (3) Activate existing users with engagement campaigns.
- (A) Responding to user feedback
- (B) Driving app downloads
- (C) Encouraging app usage
- (D) Generating app reviews
- (1) A food delivery company running a campaign to get new users – tCPI
- (2) An outdoor retailer running a campaign to drive more in-app purchases – tCPA
- (A) Google Ads SDK platforms report
- (B) App and Web properties in Google Analytics
- (C) Cross-platform report in Google Analytics
- (D) Deep linking
- (A) At least two landscape images with a watermark of the app logo included.
- (B) At least two portrait images with a watermark of the app logo included.
- (C) At least two landscape images without any superimposed text or logo.
- (D) At least two portrait images without any superimposed text or logo.
- (A) Shayley will be taken directly to the hiking boots section of the OneStop app.
- (B) Shayley will be taken to a Google search page with “hiking boots” pre-populated as her search term.
- (C) Shayley will be taken to the hiking boots section of the OneStop website.
- (D) Shayley will be taken to the app store listing, prompting her to download the OneStop app.
- (A) 2
- (B) 5
- (C) 3
- (D) 4
- (A) Yes. The system needs a minimum of 30 unique conversion events across 30 days.
- (B) Yes. The system needs a minimum of 10 unique conversion events across 30 days.
- (C) No. The system needs a minimum of 3,000 unique conversion events across 30 days.
- (D) No. The system needs a minimum of 300 unique conversion events across 30 days.
- (A) A dating app earns $50 in revenue every time an app user upgrades to Premium level.
- (B) A travel app looking to increase their user base by 50% in the next six months.
- (C) An entertainment app provides unlimited video views to users.
- (D) A banking app knows those who use the app to deposit checks are more likely to remain loyal customers.
- (A) Proactively target an audience with the most-engaging video assets.
- (B) Focus marketing strategies on similar users who bring long-term value to a business.
- (C) Send push notifications to high-value users, reminding them to use an app.
- (D) Focus marketing efforts only on those users that are already engaging with an app regularly.
- (A) App store listing
- (B) App campaign ad
- (C) Offline marketing efforts
- (D) Website where the app is featured
- (A) Identifying the most important audiences for your business.
- (B) Improving the average order value of your customer base.
- (C) Delivering a great user experience as part of the customer journey.
- (D) Driving as much traffic as possible to a .com website.
- (A) Engagement and website growth
- (B) Discovery and global expansion
- (C) Global expansion and in-store sales
- (D) Discovery and engagement
- (A) Apps generate higher conversion rates.
- (B) Apps have higher average order values.
- (C) Apps are guaranteed to run faster than mobile sites.
- (D) Apps have lower abandonment rates.
- (E) Apps automatically look better than mobile sites.
- (A) Browser preference of market.
- (B) Average device screen size.
- (C) Population density of market.
- (D) Availability of high-speed internet.
- (E) Average device battery life.
- (A) An ad must be more than 75% on-screen for more than five seconds.
- (B) An ad must be more than 50% on screen for more than five seconds.
- (C) An ad must be more than 75% on screen for more than two seconds.
- (D) An ad must be more than 50% on screen for more than two seconds.
- (A) A 60-second landscape video asset.
- (B) A 60-second portrait video asset.
- (C) A square video asset.
- (D) A carousel video asset.
- (A) Bid
- (B) Location
- (C) Audience
- (D) Budget
- (A) 65000
- (B) 650
- (C) 650000
- (D) 6500
- (A) Themed ad groups are used to set budgets by traveler interest.
- (B) Themed ad groups are used to create and deliver relevant ads to travelers with different interests.
- (C) Themed ad groups are used to adjust bids by traveler interest.
- (D) Themed ad groups are used to create and deliver ads in different languages to different travelers.
- (A) A limited-time promotion in an app.
- (B) A way to market to potential users.
- (C) When an app is on sale in the app store.
- (D) Actions that people perform in an app.
- (A) A mobile app will encourage users to visit their website.
- (B) People are spending more time using apps.
- (C) The number of users on mobile devices continues to grow.
- (D) A well-performing app can directly improve website usage.
- (A) It’s an efficient way to learn what account structures are being used by similar businesses.
- (B) It’s an automated solution to communicate with clients using faster response times.
- (C) It allows for more time to focus on strategy and creating customer experiences.
- (D) It’s a practical way to automatically convert client briefs into fully functional account structures.
- (A) Set boundaries.
- (B) Update campaign settings daily.
- (C) Provide a lot of good data.
- (D) Adjust bids regularly.
- (E) Evolve the strategy.
- (A) She should look at total conversions, which automatically include view-through conversions.
- (B) View-through conversions aren’t a default column in the performance report. She should add her total interactions with her total conversions.
- (C) View-through conversions isn’t a default column in the performance report. She should find the view-through conversions in the asset report.
- (D) View-through conversions isn’t a default column in the performance report. She should customize her columns to include it.
- (A) The content within the app’s Google Play and Apple App Store listings.
- (B) The existing Display Network and/or Video campaigns within the same Google Ads account.
- (C) The associated images and videos on Google Images and YouTube.
- (D) The website associated with the app in question.
- (A) 0.5
- (B) 2
- (C) 20
- (D) 500
- (A) Launch
- (B) Growth
- (C) Maturity
- (D) Engagement
- (A) Review the campaign’s existing assets to see if enough types and sizes exist for good ad coverage, and if the existing assets meet the recommended standards for quality.
- (B) Review the asset report, but wait another two months before taking action – it’s too soon to know how well the existing assets are performing.
- (C) Review the asset report to see which assets are low-performing, and gradually swap them out for new ones.
- (D) Review the asset report as a frame of reference, then immediately remove all existing assets and start fresh with new ones. After two months, the existing assets are stale and need to be replaced.
- (A) Mobile web generates conversion rates three times that of shopping apps.
- (B) Mobile web generates conversion rates ten times that of shopping apps.
- (C) Shopping apps generate conversion rates three times those of mobile web.
- (D) Shopping apps generate conversion rates ten times those of mobile web.
- (A) Ensure events are being measured accurately.
- (B) Select events done by at least 95% of users.
- (C) Select your most valuable events, regardless of how often they occur.
- (D) Select events done by more than 5% but fewer than 50% of users.
- (1) Ad assets – Individual elements such as lines of text, individual images, or videos.
- (2) Ad groups – A set of ads or ad assets that share common themes.
- (A) To divert traffic to a webpage.
- (B) To create interactive ads.
- (C) To create audio-only ads.
- (D) To serve lead forms.
- (A) To increase user engagement with the app.
- (B) To determine if app users have a preferred banking location.
- (C) To drive phone calls to customer service through the app.
- (D) To help users discover the app.
- (A) Reviews left by people using the app
- (B) Short-term events in relevant industries
- (C) The objectives of similar businesses
- (D) The stage of app maturity
- (A) It’s the total number of times a user has seen an ad before eventually completing a conversion.
- (B) It’s when a user sees an ad for the app and doesn’t click on it, but completes a conversion (download or action) on the app within 24 hours.
- (C) It’s when a user sees an ad containing a video asset, clicks on it, and then proceeds to complete a conversion.
- (D) It’s a conversion metric that counts the total number of conversions that came exclusively from a YouTube placement.
- (A) Create helpful boundaries for the system to work within, by setting a thoughtful bid and budget.
- (B) Make adjustments to the campaign in reaction to hourly fluctuations in performance.
- (C) Provide the system with ample, meaningful data and the time to process it.
- (D) Build a library of different ad assets, with the intention swapping them entirely on a weekly basis.
- (E) Keep an eye on strategy and objectives, evolving them over time as needed.
- (1) Increasing user volume
- (2) Driving specific in-app actions
- (3) Handling churn management
- (A) A manual ad type in Google Ads that lets advertisers display banners exclusively on Google Play.
- (B) A Google tool that automatically creates an app based on an advertiser’s website and supplied the content.
- (C) A platform in Google Ads that lets advertisers promote their products and services exclusively on apps they don’t own
- (D) An automated ad type in Google Ads designed to help advertisers drive app installs and in-app conversions.
- (A) Only providing text assets
- (B) The campaign name
- (C) Language setting
- (D) A low budget
- (A) 500
- (B) 100
- (C) 20
- (D) 10
- (A) Advertising agencies are slowing down their recruitment efforts as the requirement for human input is reduced.
- (B) Advertisers are spending more time on campaign optimization, due to additional data that’s surfaced.
- (C) Advertisers can crunch more data at scale than ever, to drive better business outcomes.
- (D) Well-known analytics tools are becoming obsolete as data is handled entirely by computer systems.
- (1) Omnichannel (online + store) – These apps are used by over half of consumers when shopping in a physical location.
- (2) eCommerce – These apps generate higher conversion rates than mobile websites.
- (3) Gaming – These are the most downloaded app type on Android and iOS.
- (A) Analyze a cross section of reviews left on her app store listing.
- (B) Assign specific values to different in-app events.
- (C) Create a detailed survey to send to her most active users.
- (D) Use longer lookback windows when analyzing data.
- (A) Dismiss video ads completely, and focus on other submitted ad assets.
- (B) Automatically record some footage of the app, and use it for a video ad.
- (C) Automatically make a video based on the App Store or Google Play assets and information.
- (D) Crawl YouTube for a video relevant to the app, and use it for a video ad.
- (A) What impact would a successful app have on the business?
- (B) How do app users perceive the fitness brand?
- (C) What unique purpose does the app provide customers?
- (D) How many fitness videos were downloaded last year from paid app promotion?
- (A) Download button
- (B) Description
- (C) Icon
- (D) Font type
- (E) Hero image/video
- (A) Perform specific tasks efficiently.
- (B) Plan strategies on a wide scale.
- (C) Strengthen relationships with clients.
- (D) Set the right campaign budgets.
- (A) Mobile apps help build brand and website awareness.
- (B) Apps inform potential customers of opening and closing hours.
- (C) Apps encourage potential customers to subscribe to their newsletter.
- (D) Over half of consumers use mobile apps when shopping in-store.
- (A) Translating the app store listing titles and descriptions.
- (B) Creating ad groups for each language spoken in France.
- (C) Utilizing the App Translation service within the Google Play Console.
- (D) Utilizing the Localize Now guidance tool within Google Ads.
- (E) Performing market research to understand the needs of French users.
- (A) Track users across individual sites and apps visited.
- (B) Include view-through-conversion reporting to understand the full value of the ads shown.
- (C) Evaluate all paid channels, and distribute investment equally.
- (D) Use the asset report to identify and add more top-performing assets.
- (A) Automated campaigns rely on human guidance and intelligence for success.
- (B) Machine learning is a key component in building relationships with clients.
- (C) Expertise in machine learning and automated systems is more valuable than ever before.
- (D) Automated campaigns outperform humans when it comes to creative work.
- (A) Through magazine placements
- (B) Through television commercials
- (C) Through digital sources
- (D) Through billboard advertising
- (1) Select relevant markets for expansion.
- (2) Localize app.
- (3) Test, launch, and measure to scale.
- (A) Sound effects
- (B) Design
- (C) Usability
- (D) Customer support
- (E) Speed
- (A) Conversion tracking provides insights that shape push notifications for an app.
- (B) Conversion tracking enables companies to understand individual user preferences.
- (C) Data captured by conversion tracking powers machine learning.
- (D) Data captured by conversion tracking may be used to target specific users.
- (A) Business goals
- (B) Competitor strategy
- (C) App-specific goals
- (D) Stage of app maturity
- (A) The all conversion value they acquired over the last 30 days.
- (B) The average click-through rate (CTR) they acquired over the last 30 days.
- (C) The number of impressions they receive in each ad group.
- (D) The number of conversions they receive in each ad group.
- (A) App settings
- (B) Keywords
- (C) Search queries
- (D) Ad schedule
- (E) Location
- (A) They’re specific events that matter most to a business.
- (B) They’re any action a user performs when using the app.
- (C) They’re the total number of users who have installed the app.
- (D) They describe when a user leaves a review about the app on the app listing.
- (A) Create a library of assets he might use during the ad creation process.
- (B) Gather feedback from people already using his app regularly.
- (C) Define a goal he wants to achieve with an App campaign.
- (D) Conduct thorough research on apps belonging to similar businesses.
- (A) Machine learning can analyze millions of signals and placements in real time.
- (B) Machine learning can have a better understanding of business objectives.
- (C) Machine learning reduces human bias and common errors.
- (D) Machine learning is more capable of interpreting human emotion.
- (A) Machine learning creates company strategies.
- (B) Machine learning measures performance more effectively.
- (C) Machine learning delivers relevant ads to each customer.
- (D) Machine learning builds great customer relationships.
- (A) Increased asset variety lets ads show only on YouTube.
- (B) Increased asset variety lets ads be more visible in Google Search.
- (C) Increased asset variety lets ads show across more geographic locations within Google inventory.
- (D) Increased asset variety helps ads show up across more of Google inventory.
- (A) Google Search, Google Play, Discover, Gmail, and Google Maps
- (B) Google Search, Google Play, YouTube, Discover, and 3M sites and apps in the Google network
- (C) Gmail, Google Search, Google Play, and 3M videos in the YouTube network
- (D) 3M sites and apps in the Google and YouTube networks
- (A) It provides unlimited reporting on up to 250 distinct events.
- (B) It tracks Android app installs and in-app purchases made through the Google Play store exclusively.
- (C) It helps make your measurement more comprehensive.
- (D) It doesn’t require editing an app’s code or using a third-party analytics tool.
- (A) There’s no need to implement an SDK.
- (B) It provides automatic setup and out-of-the-box reporting.
- (C) Data collection is transparent and more secure.
- (D) It provides a simple Android-only solution.
- (A) App campaigns exclude all placements and mobile categories.
- (B) App campaigns are opted out of certain inappropriate or graphic content.
- (C) App campaigns require users to upload an HTML file to prove app ownership.
- (D) App campaigns automatically select languages appropriate to a user’s goal.
- (A) 200
- (B) 25
- (C) 100
- (D) 50
- (A) Janelle can provide the system with abundant data and time.
- (B) Janelle can set location targeting at the ad group level.
- (C) Janelle can evolve campaign strategy over time.
- (D) Janelle can set bids and budgets strategically.
- (E) Janelle can adjust bids daily to ensure the campaign stays on target.
- (A) A simplistic graphic of the app’s title, to help spark curiosity in potential users.
- (B) A list of bullet points highlighting the app’s key features.
- (C) A brief video clip showing a series of screenshots of what to expect from the app.
- (D) An introduction screen, with clear instructions on how to engage with the ad.
- (A) Machine learning evolves campaign goals automatically, without input.
- (B) Machine learning produces results that align with defined campaign goals.
- (C) Machine learning sets campaign bids and budgets automatically.
- (D) Machine learning saves time by analyzing hundreds of signals automatically.
- (A) App promotion alerts gamers of the latest industry news and information.
- (B) App promotion helps users discover new games to download.
- (C) App promotion encourages gamers to use hardware to improve their gameplay.
- (D) App promotion helps convert mobile gamers into console and PC gamers.
- (A) App engagement
- (B) App notifications
- (C) App installs
- (D) App interactions
- (A) Reporting level
- (B) Campaign level
- (C) Ad group level
- (D) Asset level
- (A) Reach, demographics, reporting
- (B) Reporting, relevance, simplicity
- (C) Reporting, simplicity, demographics
- (D) Reach, relevance, simplicity
- (A) Content is taken from the website and social media associated with the app to design different ad formats.
- (B) The system analyzes App campaigns run by similar businesses and identifies the best settings for your ads.
- (C) If video or image assets aren’t manually uploaded, content may be pulled from the app store listings.
- (D) The system will run a simulation to analyze how your app works, then design ads based on what it finds.
- (A) Ad formats, budget, location
- (B) Ad formats, language, location
- (C) Ad formats, budget, language
- (D) Budget, language, location
- (A) Enter address
- (B) Video views
- (C) Add payment
- (D) Matched interest
- (E) Coupon redemption
- (A) Machine learning can review competitor performance to optimize campaigns.
- (B) Machine learning can analyze many signals to determine the right audience for her ad.
- (C) Machine learning can apply industry insights to optimize campaigns.
- (D) Machine learning can create combinations of assets to deliver a relevant ad to the right user.
- (A) Decision making
- (B) Reporting
- (C) Optimization
- (D) Budget setting
- (A) The system starts by learning from manual management.
- (B) There’s a lot of data needing to be processed.
- (C) Other campaigns in the account need to be analyzed first.
- (D) Manual input is needed from Google employees.
- (A) Personalization and video quality
- (B) Technical performance and personalization
- (C) User experience and video quality
- (D) Technical performance and user experience
- (A) Machine learning will eventually develop to a level where it can replace advertisers entirely.
- (B) Machine learning happens when computers analyze and recognize patterns in huge amounts of data.
- (C) Machine learning can become more efficient and accurate over time.
- (D) Machine learning is a way of effectively summarizing large amounts of data.
- (E) Machine learning means computers don’t need to be explicitly programmed or told what to do.
- (A) They provide additional conversion data, so better business decisions can be made.
- (B) They unlock additional segmentation options for placements that occur on YouTube.
- (C) They’re an effective way to directly compare conversion data against similar businesses.
- (D) They offer insights into video assets, so best-performing ones can be given priority.
- (A) Pick an event with significant value, regardless of how often it occurs.
- (B) Pick an event that matters to your business and occurs frequently.
- (C) Pick an event with low value that happens on a very significant basis.
- (D) Pick an event that can be compared against similar apps.
- (A) Image assets tend to load slower on mobile devices when there’s text overlay.
- (B) Image assets with text overlay can only be shown on some Google inventory.
- (C) Large-scale or very long text in image assets can detract from the viewer’s visual experience of an ad.
- (D) Google Ads policies don’t allow more than 25% overlay text on an image asset.
- (A) A focus on “In-app actions” while targeting “Users who have interacted with the app previously”.
- (B) A focus on “Install volume” while targeting “All users”.
- (C) A focus on “In-app actions”.
- (D) A focus on “Install volume” while targeting “Users likely to perform a specific in-app action”.
- (A) Strategy
- (B) Efficiency
- (C) Creativity
- (D) Scale
- (E) Goal setting
- (A) A finance company with a small app user base that wants to drive additional app installs.
- (B) An education company with a large app user base that’s assigned values to the specific actions users take within the app.
- (C) A travel company with a large app user base that hasn’t yet set values for the key actions users take within the app.
- (D) A fitness company with a large website user base that’s about to launch its new app.
- (A) The traffic analysis report in the Google Play console.
- (B) The Google Play Translation Services report.
- (C) The user acquisition report in the Google Play Console.
- (D) The country guidance tool in Google Ads.
- (A) A daily budget should be at least 5 times the tCPA.
- (B) A daily budget should be at least 50 times the tCPI.
- (C) A daily budget should be at least 25 times the tCPI.
- (D) A daily budget should be at least 10 times the tCPA.
- (A) Coupon redemption
- (B) Tutorial completion
- (C) Add to cart
- (D) Hotel room selection
- (A) Include large borders for image clarity.
- (B) Include a maximum of 20 images for coverage.
- (C) Include large text for accessibility.
- (D) Include images with high pixel density for visibility.
- (E) Include app store badges and brand logo for credibility.
- (A) Google App Analytics for Advertisers, app attribution partners, Google Play conversion tracking.
- (B) Google App Analytics for Advertisers, codeless tracking with Google Play, website attribution partners.
- (C) Google Analytics for Firebase, app attribution partners, codeless tracking with Google Play.
- (D) Google Analytics for Firebase, app attribution partners, Google Ads Analytics.
- (A) Codeless tracking with Google Play
- (B) App attribution partners
- (C) Google Analytics for Mobile
- (D) Google Analytics for Firebase
- (A) Information on the Play listing page is used by Google App campaigns as creative assets.
- (B) Information on the Play listing page is used for app push notifications.
- (C) A high-quality listing will encourage downloads by users from the Google App campaign.
- (D) World News Online customers have higher expectations than average users.
- (A) To help improve overall mobile ROI.
- (B) To drive more fitness video views.
- (C) To close the loop on mobile conversions.
- (D) To move customers from using the app to using the website.
- (E) To deliver a seamless mobile experience.
- (A) Humans excel at monotonous tasks.
- (B) Humans make better strategic decisions.
- (C) Humans are better at handling large amounts of data.
- (D) Humans think more creatively.
- (A) New users and installs
- (B) User reviews
- (C) Website traffic
- (D) In-app actions
- (A) Websites
- (B) Apps
- (C) Apps and websites equally
- (D) Phone calls
- (1) Machine learning processes massive amounts of data, to deliver the most effective message to the right user at the right time – Relevance
- (2) Greater inventory and more ad formats means machine learning can serve ads to a wide audience of interested users – Reach
- (3) The complexity of creative A/B testing and possibility of human bias disappear with an automated approach to campaign management – Simplicity
- (A) Various images
- (B) A demonstration video
- (C) Headline and description text
- (D) A final URL
- (A) It will immediately reduce marketing costs.
- (B) It can be used as a benchmark against similar apps.
- (C) It can help inspire new ideas for image assets.
- (D) It can help guide marketing efforts.
- (A) A positive user experience across the board can support campaign goals.
- (B) Marketers can provide app developers with insights based on data from Google Search campaigns.
- (C) App developers are required to complete some actions within Google App campaigns.
- (D) App developers generally have more marketing knowledge when it comes to promoting apps.
- (A) Launch the app in Latin America, before translations are complete to test the market.
- (B) Research specific market culture and productivity tool usage in Latin America.
- (C) Customize the app’s UX and expand payment methods relevant to Latin America.
- (D) Launch first in Latin American markets with more than five million residents.
- (E) Research device usage and connectivity within Latin America.
- (A) A Google-designated team
- (B) Third-party support from Google partners
- (C) Machine learning
- (D) The YouTube video network
- (A) The app can help customers buy products they were already likely to buy.
- (B) The app can forecast makeup products customers are likely to buy.
- (C) The app can help customers write product reviews.
- (D) The app can let customers try products virtually.
- (A) The number of downloads the app has.
- (B) The target-user settings of the campaign.
- (C) The industry standard for that particular app.
- (D) The total value of the campaign budget.
- (A) Register
- (B) Video download
- (C) Sign-in
- (D) Application submission
- (A) Maintain one evergreen ad group, and use additional ad groups to explore different themes.
- (B) Create a new campaign and ad group for each different theme.
- (C) Replace her existing ad group with a new one using a different theme.
- (D) Maintain the same ad group, and introduce additional assets based on various different themes.
- (A) Create multiple ad groups for each goal.
- (B) Focus on one goal at a time.
- (C) Create a separate campaign for each goal.
- (D) Include all goals within one campaign.
- (A) Comparing the app against other industry apps.
- (B) A behind-the-scenes look at how the app was made.
- (C) Portraying people using the app.
- (D) Showing the app and its functionality.
- (A) 25
- (B) 50
- (C) 100
- (D) 200
- (A) Initiate a full app rebuild.
- (B) Conduct market research.
- (C) Initiate a code freeze on app development.
- (D) Conduct competitor surveys
- (A) Every two to three days.
- (B) Every month.
- (C) Every week.
- (D) Every two to three months.
- (A) Shopping apps
- (B) Business apps
- (C) Sports apps
- (D) Gaming apps
- (A) Industry insights purchased from third-party companies.
- (B) Conversion tracking and machine learning.
- (C) Reviews left on an app listing.
- (D) Segmented data taken from surveys.
- (A) Machine learning handles client communication, giving William more time to tweak campaigns.
- (B) Machine learning lets William spend more time on marketing strategy than campaign details.
- (C) Machine learning can provide reporting insights, so William can skip performance analysis.
- (D) Machine learning frees more time for William to build client relationships.
- (A) Set the campaign’s daily budget as planned initially, then fluctuate it on a weekly basis.
- (B) Set the campaign’s daily budget initially less than planned, then double it right before deadline.
- (C) Set the campaign’s daily budget slightly higher than originally planned.
- (D) Set the campaign’s daily budget triple than originally planned.
- (A) Apps can be accidentally uninstalled.
- (B) A significant percentage of app users churn after three months.
- (C) Users who haven’t yet downloaded an app might need extra incentive.
- (D) Some users download apps and then forget about them.
- (A) So advertisers know if their ads have truly been seen by users
- (B) So advertisers know if their audience targeting is successful.
- (C) So advertisers know if frequency capping is working.
- (D) So advertisers know if users are double-clicking on their ads.
- (A) The title of the app
- (B) Contact details
- (C) Key features of the app
- (D) The brand name
- (A) During the entirety of the ad.
- (B) At the beginning of the ad.
- (C) Midway through the ad.
- (D) At the end of the ad.
- (A) Apps require minimal maintenance.
- (B) App downloads are growing year over year.
- (C) While on mobile devices, users spend the majority of time in apps.
- (D) Apps deliver better brand awareness than websites.
- (A) The system can automatically create individual ad groups to accommodate each asset type.
- (B) The budget of the campaign is automatically increased with each asset type added.
- (C) The system can identify the best-performing assets from the portfolio, then create more based on them.
- (D) The system has flexibility to create individual ads that best move a user to install or take action in the app.
- (A) Number of installs.
- (B) Average cost per in-app action.
- (C) Average cost per install.
- (D) Number of best assets.
- (A) By delivering a different ad to every user.
- (B) By delivering relevant ads to users only on YouTube.
- (C) By delivering a relevant ad to the right user at the right time.
- (D) By delivering ads to as many users as possible in one location.
- (1) Launch
- (2) Grow
- (3) Maturity
- (4) Engagement
- (A) HTML5, Image, Video, Text
- (B) Text, Video, HTML5, Audio
- (C) HTML4, Image, Video, Text
- (D) Image, Text, Audio, Video
- (A) Decreased costs
- (B) Additional sales
- (C) Increased profits
- (D) Increased customer lifetime value
- (E) Wider customer base
- (A) The system can immediately identify the best ad assets submitted by a marketer.
- (B) The system automatically creates ads, with zero human input required.
- (C) The system automatically tests different ads to determine what works best.
- (D) The system suggests proven data based on similar businesses from the same industry.
- (A) The marketer will still need to review search term and segmentation reports, to make appropriate manual adjustments.
- (B) The marketer will need to look for and resolve any campaign issues found within the notifications section of the account.
- (C) An App campaign will request human input via questionnaires from time to time, to help steer its marketing objectives.
- (D) The strategy behind an App campaign will likely shift over time, meaning boundaries need to be set accordingly.
- (A) Machines can provide very detailed reporting, while humans handle the majority of optimization tasks.
- (B) Humans and machines have complementary skill sets.
- (C) Humans can monitor reports exclusively, while letting machine learning handle everything else.
- (D) Humans can verify creative assets made by machines, saving time in the process.
- (A) HTML5 assets
- (B) Data
- (C) Time
- (D) Bid changes
- (A) Machine learning will perform better when it comes to designing creatives.
- (B) Machine learning will save a significant amount of time and effort for other tasks.
- (C) Machine learning will let her be promoted to director quickly.
- (D) Machine learning will let her use the same audiences she’s identified as correct in the past.
- (A) Each ad group may have 3-5 description lines, with up to 90 characters in each.
- (B) Each ad group may have 1-5 description lines, with up to 30 characters in each.
- (C) Each ad group may have 3-5 description lines, with up to 30 characters in each.
- (D) Each ad group may have 1-5 description lines, with up to 90 characters in each.
- (A) The latest industry news can be presented to a potential customer while they shop.
- (B) An app can serve ads to a potential customer while they’re browsing products.
- (C) Personal information can be saved in an app to make checkout quick and easy.
- (D) Apps can redirect users to the company website to complete a purchase.
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