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Google Analytics For Power Users Certification Exam Answers

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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
banner
  • 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
  • Youtube.com and Mall.googleplex.com
  • Mall.googleplex.com and Analytics.google.com
  • 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

Introduction to Google Analytics For Power Users

Google Analytics for Power Users refers to an advanced level of proficiency in using Google Analytics (GA), a powerful tool for analyzing website traffic and user behavior. Here’s what it generally involves:

  1. Advanced Reporting: Power users are adept at leveraging GA’s advanced reporting features like custom reports, dashboards, and segments. They can create complex reports to extract specific insights tailored to business needs.
  2. Data Interpretation: They possess strong analytical skills to interpret GA data accurately. This includes understanding metrics such as bounce rate, conversion rate, average session duration, and more, and deriving actionable insights from them.
  3. Customization and Configuration: Power users know how to set up custom dimensions, metrics, and goals within GA. They can configure GA to track specific user interactions and events relevant to their business objectives.
  4. Implementation Mastery: They are proficient in implementing GA tracking codes correctly across different platforms (websites, mobile apps) and ensuring data integrity and accuracy.
  5. Integration with Other Tools: They can integrate GA with other tools such as Google Ads, CRM systems, or data warehouses to merge GA data with other business data for comprehensive analysis.
  6. Troubleshooting and Optimization: They have troubleshooting skills to identify tracking issues or discrepancies in GA data and optimize configurations for better performance.
  7. API and Data Export: Knowledgeable in using GA’s API to automate reporting tasks or extract data for further analysis outside of GA’s interface.
  8. Stay Updated: They keep themselves updated with the latest features and updates in Google Analytics to leverage new functionalities and improvements effectively.

Overall, a Google Analytics power user goes beyond basic reporting and uses GA to its fullest potential to drive data-driven decisions and optimize digital marketing strategies effectively.

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