This assignment will give you an opportunity to analyze website traffic reports for paid vs. organic strategies.Review the Module Five Google Analytics Reports document. Write 2 to 3 sentences about...

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This assignment will give you an opportunity to analyze website traffic reports for paid vs. organic strategies.Review the Module Five Google Analytics Reports document. Write 2 to 3 sentences about each report, describing what each report suggests about traffic on the website. Then write a paragraph giving an overall analysis of the website traffic and how you will use that data to improve your campaign.RubricGuidelines for Submission: Your assignment must be submitted as a Microsoft Word document and must be written in APA format. Use double spacing, 12-point Times New Roman font, and one-inch margins. Each report’s description should be 2–3 sentences long. The overall analysis should be about a paragraph


MKT 315 Module Five Google Analytics Reports Landing Page Results The landing page is where visitors enter your site. The report lists pages with statistics. The figure is a screenshot of a Google Analytics (GA) webpage dashboard entitled “Landing Pages” for a sample business. There is a main graph showing number of “Visits” for the months of August and September. The vertical axis is labeled “Visits” and lists visits at 200 and 400. The horizontal axis is not labeled but lists a two-month span for August and September. In the main graph, the Visits line begins at approximately August 1 (not labeled) at about 100 visits and stays within the 50–100 range until about August 29 (labeled) when there is a sudden and distinct rise to about 300 visits. On approximately September 1 (not labeled), there is then a decrease and the Visits line stays within the 100–200 range through September. The figure also contains a table that shows analytical data for five categories related to the Visits: Visits, Pages/Visit, Avg. Visit Duration, % New Visits, and Bounce Rate. The data is summarized in the following table. Category Data Visits 6,859 Pages/Visit 1.32 Avg. Visit Duration 00:01:20 % New Visits 91.50% Bounce Rate 85.58% The figure also contains a table that shows data for four landing pages. The data is shown in the following table. Landing Page Visits Pages/Visit Avg. Visit Duration % New Visits Bounce Rate 1. /blog/water-damage-phone/ 807 1.04 00:00:10 95.17 96.41 2. /blog/6-website-navigation-best-practices/ 527 1.27 00:00:47 92.79 88.61 3./ 483 2.84 00:08:12 75.16 51.35 4. /blog/gmail-labs-gchat-to-right-side/ 437 1.04 00:00:13 98.86 96.11 New vs. Returning Visitor Google Analytics New vs. Returning Visitors Report is a simple report that provides valuable information regarding your website's audience by comparing the number of new visitors to your site against the returning visitors. The figure is a screenshot of a Google Analytics (GA) webpage dashboard entitled “Sessions” for a sample business. There is a main graph showing number of “Sessions” for a six-day span from May 31 (not labeled) to June 6. The vertical axis is labeled “Sessions” and lists sessions at 10 and 20. The horizontal axis is not labeled but lists a six-day span from May 31 (not labeled) to June 6. In the main graph, the Sessions line begins at approximately May 31 (not labeled) at 20 sessions and declines steadily to about five sessions on June 2 and June 3. On June 4, there is a rise to approximately 12 sessions. On June 5, there is a slight decline to 10 sessions, and on June 6, a slight increase again to approximately 12 sessions. The figure also contains a table titled “Primary Dimension: User Type.” The data is shown in the following table. User Type Acquisitions Behavior Conversions Sessions % New Sessions New Users Bounce Rate Pages/Session Avg. Session Duration Goal Conversion Rate Goal Completions Goal Value 71 52.11% 37 25.35% 4.06 00:02:40 0.00% 0 $0.00 1. New Visitor 37 100.00% 37 18.92% 3.89 00:02:05 0.00% 0 $0.00 2. Returning Visitor 34 0.00% 0 32.35% 4.24 00:03:19 0.00% 0 $0.00 Active User Report This refers to the number of users who visited your website within the last 1 to 30 days in the selected time period. The figure is a screenshot of a Google Analytics (GA) webpage dashboard entitled “Active Users” for a sample business. There is a main graph showing the number of “1-day Active Users” for a month-long span from approximately December 19 to approximately January 18. The vertical axis is labeled “Active Users” and lists users at 500 and 1,000. The horizontal axis is not labeled but lists a month-long span from approximately December 19 (not labeled) to approximately January 18 (not labeled) with each day appearing as a point on the graph. In the main graph, the Active Users line begins at approximately December 19 with 500 active users, declines to about 250 active users after a day, but then increases again to 500 active users by December 22 (labeled). Active users stay constant at approximately 250 users until there is a distinct increase to approximately 600 active users on January 5 (labeled), after which there is a slight decline to about 500 active users for a few days and then a decline again to approximately 250 active users by January 10. There is then a steady increase to about 700 active users over the next three days until January 13, and then a steady decrease again to about 250 active users on January 17. The figure also contains a table that shows analytical data for four categories related to the Active Users: 1-Day Active Users, 7-Day Active Users, 14-Day Active Users, and 30-Day Active Users. The data is summarized in the following table. Category Data 1 Day Active Users 408 7 Day Active Users 3,280 14 Day Active Users 5,961 30 Day Active Users 9,673 Real-Time Overview This shows active users on the site in real time. Real-time analytics can also help you to verify that Google Analytics is firing properly when you have just added the tracking code to a new site. The figure is a screenshot of a Google Analytics (GA) webpage dashboard entitled “Real Time Overview” for a sample business showing active users on the site in real time. There are two small graphs showing Pageviews: Per minute and Per second, and five tables showing “Right Now”: Active Users on Site, Desktop, Mobile, and Tablet; Top Referrals; Top Social Traffic; Top Keywords; and Top Active Pages. For the graph “Pageviews Per minute,” the vertical axis is labeled “Pageviews” and lists 10, 20, and 30 page views. The horizontal axis is labeled “Per minute” and lists the last 30 minutes. The data shows between approximately five and 17 page views in the last 30 minutes. For the graph “Pageviews Per second,” the vertical axis is labeled “Pageviews” and lists one, two, and three page views. The horizontal axis is labeled “Per second” and lists the last 60 seconds. The data shows between approximately one and two page views in the last 60 seconds. The table “Right Now” shows current analytical data for active users on site (33), on desktop (42%), mobile (36%), and tablet (21%). The table “Top Referrals” shows that one active user each has been directed to the site from two separate websites (astrostyle.com and elle.com). The table “Top Social Traffic” shows that nine active users have been directed to the site from Facebook. The table “Top Keywords” shows “Not Provided” for nine of the current active users and “what to expect from first time chemotherapy” from one active user. The table “Top Active Pages” shows the current active users on the top 10 active pages. There is one active user (3.03% of active users) in each of the bottom nine pages, but eight active users currently visiting the top-visited page (24.24% of active users). Demographics Overview This is the distribution of Sessions (or other key metrics) on your site by age group and gender. Sessions is the default key metric. You can also use % New Sessions, Avg. Session Duration, Bounce Rate, or Pages per Session. The figure is a screenshot of a Google Analytics (GA) webpage dashboard entitled “Demographics: Overview” for a sample business showing one graph for the age and one graph for the gender of visitors to the site for a one-month span, from December 25, 2015 to January 24, 2016. For the age graph, the vertical axis is not labeled but lists the key metric of “Sessions” (%). The horizontal axis is not labeled but lists the age of visitors in six categories (bars): 18–24, 25–34, 35–44, 45–54, 55–64, 65+. The data is summarized in the following table. Age Sessions (%) 18–24 9% 25–34 15% 35–44 17% 45–54 20% 55–64 22% 65+ 16 The figure also shows a simple pie chart. The data can be shown in the following table. Visitors % of Total Male 56.7% Female 43.3% Geographic Location Report Analytics provides a number of geographical dimensions, such as city, country, and continent. The figure is a screenshot of a Google Analytics (GA) webpage dashboard for a sample business entitled “Geographic Location Report.” There is a simple blue bar at the bottom, listing the user number 1 on the left (no color) and user number 231,872 (total number of users) on the right (dark blue) with a gradation of light blue to dark blue going from left to right. Above the bar is an image of a world map with countries highlighted with a range of no color to dark blue. Some countries have no color (no users) while most are some gradation of light blue. The United States is highlighted in dark blue, showing it as the country with the most users. Behavior – Engagement This indicates time spent per session. The figure is a screenshot of a Google Analytics (GA) webpage dashboard entitled “Engagement” for a sample business showing the session duration, number of sessions, and number of page views over a one-week span, from May 31, 2017 to June 6, 2017. The figure includes a table that breaks down the total number of sessions (71%) and total number of page views (288) by the following session duration times: 0–10 seconds, 11–30 seconds, 31–60 seconds, 61–180 seconds, 181–600 seconds, and 601–1,800 seconds. The data is summarized in the following table. Session Duration Sessions Page Views 0–10 seconds 23 29 11–30 seconds 10 29 31–60 seconds 9 39 61–180 seconds 16 92 181–600 seconds 7 60 601–1,800 seconds 6 39 Mobile Overview This reviews mobile views/desktop views. The figure is a screenshot of a Google Analytics (GA) webpage dashboard entitled “Sessions” for a sample business. There is a main graph showing number of “Sessions” for a six-day span from May 31 (not labeled) to June 6. The vertical axis is labeled “Sessions” and lists sessions at 10 and 20. The horizontal axis is not labeled but lists a six-day span from May 31 (not labeled) to June 6. In the main graph, the Sessions line begins at approximately May 31 (not labeled) at 20 sessions and declines steadily to about five sessions on June 2 and June 3. On June 4, there is a rise to approximately 12 sessions. On June 5, there is a slight decline to 10 sessions, and on June 6, a slight increase again to approximately 12 sessions. The figure also contains a table titled “Primary Dimension: Device Category.” The data can be shown in the following table. Device Category Acquisition Behavior Conversions Sessions % New Sessions New Users Bounce Rate Pages/Session Avg. Session Duration Goal Conversion Rate Goal Completions Goal Value 71
Answered 1 days AfterApr 06, 2022

Answer To: This assignment will give you an opportunity to analyze website traffic reports for paid vs. organic...

Shubham answered on Apr 07 2022
100 Votes
Running Head: MARKETING MANAGEMENT                        1
MARKETING MANAGEMENT                                2
MARKETING MANAGEMENT
Tabl
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References    5
Please note this link: http://snhu-media.snhu.edu/files/course_repository/undergraduate/mkt/mkt315/mkt315_module_five_google_analytics_reports.pdf is used for analysis
1) New vs returning visitor report
Sessions: It seems that content is the major reason why new and returning customers visit it and both the numbers on lower side.
Behaviour: 25% left the website just being on first page itself. On an average per visit user went through four pages and average time spent on website is...
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