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--- admin:site_analytics [2020/07/10 07:08]
mchung [User acquisitions - Where do users of the OD platform come from?]
+++ admin:site_analytics [2020/07/10 08:02]
mchung [Glossary of terms]
@@ Line 80: / Line 80: @@
   * Admin of the site as well as those working on donor reporting should already have access permission to Google Analytics. To request access, contact an ODI administrator.
+  * For donor reporting, it can be useful to break down the data by quarter. If you want to do this, it is best to download data on each quarter separately. This is because each data point which is downloaded for a specific temporal range is dated with the same range, thus if you set the temporal range for October 1, 2016 to September 30, 2017, it cannot be separated into week, month, or quarter.
 ==== Glossary of terms ====
-  * **Users**: Google Analytics calculates the number of users based on a cookie that is set by the user’s browser. That means if a user accesses the website from a different browser or device, he/she might be counted as multiple users. Google Analytics used to offer “Users” as the unique number of visitors who visit a site. The number used to represent exactly how many individual people were on the site. This is no longer the case. If you're interested, see more here:[[https://support.google.com/analytics/answer/2992042?hl=en&authuser=2]].
+  * **Users**: Counter to expectations, this is not a count of unique users on the platform. Google Analytics calculates the number of users based on a cookie that is set by the user’s browser. That means if a user accesses the website from a different browser or device, he/she might be counted as multiple users. Google Analytics used to offer “Users” as the unique number of visitors who visit a site. The number used to represent exactly how many individual people were on the site. This is no longer the case. If you're interested, see more here:[[https://support.google.com/analytics/answer/2992042?hl=en&authuser=2]].
   * **Sessions**: A session is a group of interactions by one user with the site that take place within a given time frame. One unique visitor may initiate multiple sessions in a day.  Sessions are typically refreshed after 30 minutes of inactivity. If you're interested, see more here:[[https://support.google.com/analytics/answer/2731565?authuser=2]]
@@ Line 124: / Line 125: @@
 === Accessing user acquisition data ===
-User acquisition data is readily available on Google Analytics. It is accessible through this path: Acquisition > Overview (you should see this page: https://analytics.google.com/analytics/web/#report/trafficsources-overview/)
+User acquisition data is readily available on Google Analytics. It is accessible through this path: Acquisition > Overview
 {{ :admin:screen_shot_acquisition_overview_ga.png?600 |}}
@@ Line 207: / Line 208: @@
 </WRAP>
+{{ :admin:screen_shot_filtered_by_referral_source_analyzed.png?600 |}}
-{{ :partners:source_analyze_organic.png?nolink&800 |}}
 <WRAP center round important 80%>
-ODC and ODMm uses opendev[country].net as well as the default URL country.opendevelopmentmekong.net. Make sure to count traffic from both as traffic directed from the OD platform. There are traffic directed from PP site and ODM Wiki to PROD. For reporting purposes, this traffic doesn't need to be identified.
+The various OD sites use either opendevelopment[country].net or the default URL country.opendevelopmentmekong.net. Both count as traffic from the OD platform. There may also be traffic directed from PP site and ODM Wiki to PROD. For reporting purposes, this traffic should not be identified.
 </WRAP>
-{{ :partners:aquisition_data_od.png?nolink&800 |}}
+  * Now that the categorization is complete, use Pivot table function to count number of sessions for each medium. Make sure the grand total is the same as the number provided in the raw data (in this example 2792).
-  * Now that the categorization is complete. Use Pivot table function to count number of sessions for each medium. Make sure the grand total is the same as the number provided in the raw data (in this example 35045).
+{{ :admin:screen_shot_pivot_table_sum_sessions_source.png?600 |}}
-{{ :partners:aquisition_pivot.png?nolink&800 |}}
 **Step 5: Analyze / visualize data**
-Below is an example of how this data can be presented.
+Now you're ready to analyze and visualize the data.
-{{ :partners:user_aquisition_report.png?nolink&400 |}}
 <WRAP center round tip 90%>
@@ Line 230: / Line 226: @@
 </WRAP>
-==== Users and sessions - How many users, how long they're stying, and how much of the site they're using ====
+==== Users and sessions - How many users, how long they're staying, and how much of the site they're using ====
-=== Things to know beforehand ===
-**Temporal range**: For donor reporting, it's useful to breakdown the data by quarter. In the example below, we will gather data from October 1, 2016 to September 30, 2017, which are four quarters:
-  * Quarter 4, 2016: October 1 to December 31, 2016
-  * Quarter 1, 2017: January 1 to March 31, 2017
-  * Quarter 2, 2017: April 1 to June 30, 2017
-  * Quarter 3, 2017: July 1 to September 30, 2017
-<WRAP center round tip 90%>
-Each data point which is downloaded for a specific temporal range is dated with the same range, thus if you set the temporal range for October 1, 2016 to September 30, 2017, it cannot be separated into week, month, or quarter. It's a good practice to define the specific temporal range segments and download the data for each segment.
-</WRAP>
 === Basic user and session data ===

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