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Google Analytics For Power Users Certification Exam Answers

“Google Analytics for Power Users” is a program tailored for individuals who want to deepen their understanding and mastery of Google Analytics beyond basic functionalities. This advanced-level course delves into complex topics such as advanced segmentation, custom reporting, and data-driven decision-making strategies. Participants typically learn how to leverage advanced features within Google Analytics to extract actionable insights, optimize website performance, and track key metrics effectively. The course may cover topics such as:

  1. Advanced Segmentation: Techniques for creating and applying custom segments to analyze specific user groups or behaviors.
  2. Custom Reporting: Building customized reports and dashboards tailored to specific business objectives or KPIs.
  3. Advanced Metrics and Dimensions: Exploring lesser-known metrics and dimensions within Google Analytics to gain deeper insights.
  4. Data Visualization: Best practices for visualizing data using charts, graphs, and other visualization tools within Google Analytics.
  5. Attribution Modeling: Understanding different attribution models and how to apply them to measure the impact of marketing channels accurately.
  6. E-commerce Tracking: Implementing and optimizing e-commerce tracking to monitor online sales performance and conversion funnels.
  7. Event Tracking: Utilizing event tracking to monitor user interactions with specific elements on a website, such as clicks, downloads, or video views.
  8. Data Analysis Techniques: Advanced data analysis techniques using Google Analytics, including cohort analysis, funnel analysis, and regression analysis.
  9. Integrations and Customization: Integrating Google Analytics with other tools and platforms, as well as customizing tracking parameters and configurations.
  10. Data-driven Decision Making: Leveraging Google Analytics data to make informed business decisions and drive strategic initiatives.

Overall, “Google Analytics for Power Users” equips participants with the knowledge and skills needed to extract valuable insights from Google Analytics data and apply them effectively to improve website performance, optimize marketing campaigns, and achieve business goals.

Google Analytics For Power Users Exam Quiz Answers

  • Most users who converted were using desktop.
  • The Google Store should optimize their site for tablet.
  • The Google Store shouldn’t bother developing for mobile.
  • There must be an issue with the checkout flow on desktop.
  • Conversions > Ecommerce > Overview
  • Audience > Mobile > Overview
  • Audience > Cross-Device > Device Paths
  • Audience > Mobile > Devices
  • Explorer report
  • Primary dimension
  • Pivot table
  • Table filter
  • A
  • B
  • C
  • D
  • Immediately stop investing in marketing for the source.
  • Immediately increase marketing spend for the source.
  • Determine whether the traffic source fulfills other site goals.
  • Determine whether the source assists in conversions.
  • A
  • B
  • C
  • D
  • View the All Traffic > Source/Medium report and select “Ecommerce” in the Explorer tab.
  • View the Ecommerce > Sales Performance report and add Source/Medium as a secondary dimension.
  • View the Ecommerce > Overview report and select “Avg. Order Value” as a metric in the time graph.
  • View the Mobile > Overview report and select “Ecommerce” in the Explorer tab.
  • Organic Search and Social
  • and
  • and
  • Google and Direct
  • (Other) sessions have no campaign value attached to them.
  • (Other) sessions have no source value attached to them.
  • (Other) sessions cannot be categorized in any of the channels in this channel grouping.
  • Investigate (Other) to see if sessions could be categorized by defining a new channel.
  • Analytics > Home
  • Analytics > Audience
  • Analytics > Acquisition
  • Analytics > Real-Time
  • Users, Time, Day
  • Day Index, Hour, Sessions
  • Hour of Day, Sessions, Transactions
  • Day of Week, Hour, Ecommerce Conversion Rate, Sessions
  • Strong performance: Users are highly engaged with the page.
  • Poor performance: Users are struggling with the page.
  • It depends on the specific page and its purpose.
  • Average Time on Page should never be used as a KPI for a content site.
  • To track the number of minutes played for each video on your site
  • To find out the average number of pageviews per user
  • To see how often a page was the landing page for sessions including that page
  • To record the title of a video watched on your site
  • A custom dimension
  • Event tracking
  • Scroll Depth is a standard Google Analytics metric.
  • It’s not possible to track scroll depth with Google Analytics.
  • Use a table filter to exclude goal pages.
  • Define a segment to exclude sessions where a goal occurred.
  • Create a view that tracks ecommerce but doesn’t define any goals.
  • Assign goal values based on average revenue calculated outside of Google Analytics.
  • Landing Pages
  • All Pages
  • Source/Medium
  • Mobile Overview
  • Discover common goal paths you may not have considered.
  • Identify top goal paths and optimize navigation or messaging for even more conversions.
  • Identify drop-off points between steps in various goal paths.
  • Automatically track conversions without manually configuring goals.
  • Compare “About Us” page metrics in the Landing Pages report with “About Us” page metrics in the All-Pages report.
  • Identify the Page Value for the “About Us” page and compare this metric across all other pages.
  • Create a custom segment including sessions with visits to the “About Us” page, and another segment for sessions where users did not visit the “About Us” page. Apply the two segments to the Ecommerce Overview report and compare conversion rates.
  • Use the Reverse Goal Path report to compare number of goal completions among rows including the “About Us” page.
  • Implement Enhanced Ecommerce on your website.
  • Enable Enhanced Ecommerce Reporting in your Analytics view.
  • Enable Checkout Labeling in Ecommerce settings.
  • Assign values to all Analytics goals.
  • Identify a list of products to remove from your website.
  • Identify low performing Product Lists for optimization opportunities.
  • Analyze how the order of products in a product list may impact performance.
  • Compare product performance across multiple Product Lists.
  • Position 1 on the Homepage Promo list
  • Position 1 on the Similar Products list
  • Position 3 on the Homepage Promo list
  • Position 3 on the Similar Products list
  • Cart-to-Detail Rate
  • Buy-to-Detail Rate
  • Average Price
  • Product Adds
  • 22 oz. Mini Mountain Bottle
  • Travel Journal
  • Organic Basic T-Shirt
  • Men’s Heather T-Shirt
  • How users moved from one stage of purchasing to the next.
  • Where users abandoned the shopping funnel.
  • Errors on the “Billing and Shipping” page.
  • Top channels driving sessions with check-outs.
  • Billing and Shipping
  • Payment
  • Review
  • Sessions with Transactions
  • Shopping Behavior Analysis
  • Product Performance
  • Ecommerce Overview
  • Checkout Behavior Analysis
  • Shopping Behavior Analysis
  • Product Performance
  • Ecommerce Overview
  • Sales Performance

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