Question
Use the Demo account for the Google Merchandise to respond: 1. Open the Shopping Behavior report view, time period for March 1 st , 2017
Use the Demo account for the Google Merchandise to respond:
1. Open the Shopping Behavior report view, time period for March 1st, 2017 April 11th, 2017. Which browser type is performing the best with respect to converting sessions into transactions?
2. Using the same time period, run an Ecommerce overview report to compare Average Order Value by day for single session users and non-single session users. What is the Average Order Value for non-single session users?
3. In the same reporting view, what was the Ecommerce conversion rate of the single session users?
4. In the same reporting view, does anything catch your attention in the time-series line chart? More specifically, is there a particular segment, date and Average Order Value that is worthy of deeper analysis? Hint: good news
5. time period for March 1st, 2017 April 11th, 2018 and clear out previous segments. Run a Top Conversions Paths report for Ecommerce transactions only for path lengths of 2 or more. Using a lookback window of 90 days prior to conversion, which visitor journey path was responsible for the most conversions? (Include screenshot of the selected path)
6. In the same reporting view, which visitor journey path was responsible for the most conversion value? (Include screenshot of the selected path)
7. Still using the same time period for your analysis, run an Assisted Conversions report for the micro-goal objective of obtaining engaged users only. Using a 60-day lookback window to conversion, which MCF Channel did the best job in functioning equally in an assist role and as the final conversion interaction?
8. the same time period for your analysis, run a Funnel Visualization for your macro-goal objective of driving completed purchases. Share the largest problem that should be reported to management from your analysis.
9. Still using the same time period for your analysis, run a Goal Flow report for iPhone traffic across traffic types. What percentage of sessions does iPhone traffic represent?
10 Same reporting view, what percentage of iPhone traffic visitors who reached the Billing and Shipping funnel step resulted in exiting the website (not just the funnel)?
11. Still using the same time period for your analysis, run a Time Lag MCF report for Ecommerce transactions only, with a 60 day lookback window. Take note of the 31-60 day audience, and the discrepancy between percentage of conversions, and conversion value. Interesting, right? Create a segment of Time Lag > 30 days, and then run a Multi-Channel Funnel Overview report focused on this segment. What percentage of these conversion paths included Direct, Referral, and Organic Search?
12 Same time period for your analysis, and clearing out previous segments, run a Path Length report for Ecommerce transactions only, with a 60 day lookback window. Take note of the 12+ Path Length in Interactions audience. Create a segment of Path Length > 11 Interactions, and identify the highest conversion value associated with a Top Conversion Path. (Include screenshot of the selected path)
13. Same time period for your analysis, and clearing out previous segments, what is the Goal 1 abandonment rate of desktop traffic?
14. In the same reporting view, what percentage of visitors who originated from Desktops, as well as viewed Nest-USA products across any action, resulted in abandoning the website experience?
16. Still using the same time period, run an attribution analysis (model comparison tool) for Ecommerce transactions only, leveraging a 90 day lookback window, and path lengths > 1. Create a model comparison analysis view of Last Interaction vs. Time Decay vs. Position Based. Now focus only on the MCF Channel Groupings that had at least 30 or more conversions associated with it. Which Channel Grouping gains the most conversion credit when using the Position Based model (as compared to the Last Interaction model)?
17. Within the same attribution model comparison report, what was the % change of the Channel Grouping with at least 30 conversions that benefited the most when using the Time Decay model (as compared to the Last Interaction model)?
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