GA4: Add Conversion Events section

- add Conversion Events section notifying customers that some available actions (i.e. Google’s recommended events) are automatically marked as conversions in their Analytics dashboard, but other events will need to be toggled on under Mark as Conversion.
- move Custom Events up on page (not sure if this belongs in FAQ anymore)
- move Custom Dimension and Metrics up on page since it seems to make sense right underneath Custom Events

Author: sarahrudy

src/connections/destinations/catalog/actions-google-analytics-4-web/index.md

@@ -34,16 +34,6 @@ Some parameters automatically populate prebuilt [dimensions and metrics](https:/
 
 With custom parameters, you must create [custom dimensions and metrics](https://support.google.com/analytics/answer/10075209){:target="_blank"} so you can see the parameter values in Google Analytics. 
 
-### Understanding Event Parameters 
-
-Parameters provide additional information about the ways users interact with your website. For example, when someone views a product you sell, you can include parameters that describe the product they viewed, like `product_name`, `category`, and `price`.
-
-The automatically collected and enhanced measurement events include parameters by default. Google also provides a set of required and optional parameters to include with each recommended event. Additionally, you can add more event parameters when you need them.
-
-{% include components/actions-fields.html settings="true"%}
-
-## FAQ & Troubleshooting
-
 ### Custom Events
 
 Google Analytics 4 does not accept custom event names that include spaces. Segment replaces spaces in the Event Name in the Custom Event action with an underscore. As a result, you will see custom events snake cased in Google Analytics 4.
@@ -56,6 +46,20 @@ Keep in mind that custom events will not appear in Google's standard reports; yo
 
 With Google Analytics 4, you must create custom dimensions and metrics within the Google Analytics 4 interface to link event parameters to the corresponding custom dimensions or metrics. When creating the dimension or metric, you can either select a parameter from the list of already collected fields or enter the name of the parameter you plan to collect in the future. For more information, see [Google Analytics 4 Custom dimensions and metrics](https://support.google.com/analytics/answer/10075209?hl=en){:target="_blank"}.
 
+### Understanding Event Parameters 
+
+Parameters provide additional information about the ways users interact with your website. For example, when someone views a product you sell, you can include parameters that describe the product they viewed, like `product_name`, `category`, and `price`.
+
+The automatically collected and enhanced measurement events include parameters by default. Google also provides a set of required and optional parameters to include with each recommended event. Additionally, you can add more event parameters when you need them.
+
+### Conversion Events
+
+Some of Segment's prebuilt [Available Actions](https://segment-docs.netlify.app/docs/connections/destinations/catalog/actions-google-analytics-4-web/#available-actions) which map to Google's recommended events are automatically marked as a conversion in your Analytics dashborad. For example, when you add a "Order Completed" event, it will show up in your Analytics dashboard as "purchase" with the **Mark as conversion** toggle toggled on by default. However, for other events, such as "Add to Cart", you will need to manually toggle the **Mark as conversion** setting on in your Analytics dashboard. If you don't mark the event as a conversion, it will not show up as a conversion in your built in reports. 
+
+{% include components/actions-fields.html settings="true"%}
+
+## FAQ & Troubleshooting
+
 ### Debug Mode
 
 The Google Analytics 4 [debug mode](https://support.google.com/analytics/answer/7201382?hl=en){:target="_blank"} is supported with the Google Analytics 4 Web destination. DebugView displays the events and user properties that Analytics collects from a user in real-time. This can be helpful in troubleshooting your implementation.