Create a server side call to Google Analytics 4 via its Measurement Protocol
Use mp_connection to set up the Measurement Protocol connections to pass to mp_send. If using Google Tag Manager Server-Side, you can also set up a custom endpoint.
mp_send( events, client_id, connection, user_id = NULL, debug_call = FALSE, timestamp_micros = NULL, user_properties = NULL, non_personalized_ads = TRUE ) mp_connection( measurement_id, api_secret = Sys.getenv("MP_SECRET"), endpoint = NULL, preview_header = NULL )
events | The events to send |
---|---|
client_id | The client_id to associate with the event |
connection | The connection details created by mp_connection |
user_id | Optional. Unique id for the user |
debug_call | Send hits to the Google debug endpoint to validate hits. |
timestamp_micros | Optional. A Unix timestamp (in microseconds) for the time to associate with the event. |
user_properties | Optional. The user properties for the measurement sent in as a named list. |
non_personalized_ads | Optional. Set to true to indicate these events should not be used for personalized ads. |
measurement_id | The measurement ID associated with a stream |
api_secret | The secret generated in the GA4 UI - by default will look for environment arg |
endpoint | If NULL will use Google default, otherwise set to the URL of your Measurement Protocol custom endpoint |
preview_header | Only needed for custom endpoints. The |
TRUE
if successful, if debug_call=TRUE
then validation messages if not a valid hit.
Create an API secret via Admin > Data Streams > choose your stream > Measurement Protocol > Create
To see event parameters, create custom fields in your GA4 account first, to see them in your reports 24hrs after you send them in with this function via Custom definitions > Create custom dimensions
- dimension name
will be how it looks like in the reports, event parameter
will be the parameter you have sent in with the event.
user_id
can be used for cross-platform analysis
timestamp_micros
should only be set to record events that happened in the past. This value can be overridden via user_property or event timestamps. Events can be backdated up to 48 hours. Note microseconds, not milliseconds.
user_properties
- describe segments of your user base, such as language preference or geographic location. See User properties
Ensure you also have user permission as specified in the feature policy
Invalid events are silently rejected with a 204 response, so use debug_call=TRUE
to validate your events first.
Measurement Protocol (Google Analytics 4)
Other Measurement Protocol functions:
mp_cid()
,
mp_event_item()
,
mp_event()
# preferably set this in .Renviron Sys.setenv(MP_SECRET="MY_SECRET") # your GA4 settings my_measurement_id <- "G-1234" my_connection <- mp_connection(my_measurement_id) a_client_id <- 123.456 event <- mp_event("an_event") mp_send(event, a_client_id, my_connection, debug_call = TRUE)#>#>#> ℹ 2021-04-10 11:21:38 > Response: 200#> ℹ 2021-04-10 11:21:38 > No validation messages found#> [1] TRUE# multiple events at same time in a batch another <- mp_event("another_event") mp_send(list(event, another), a_client_id, my_connection, debug_call = TRUE)#> ℹ 2021-04-10 11:21:38 > MP Request: https://www.google-analytics.com/debug/mp/collect?measurement_id=G-1234&api_secret=MY_SECRET #> #> #> #> #> #> #> #> #> #> #> #>#>#> ℹ 2021-04-10 11:21:38 > Response: 200#> ℹ 2021-04-10 11:21:38 > No validation messages found#> [1] TRUEif (FALSE) { # you can see sent events in the real-time reports library(googleAnalyticsR) my_property_id <- 206670707 ga_data(my_property_id, dimensions = "eventName", metrics = "eventCount", dim_filters = ga_data_filter( eventName == c("an_event","another_event")), realtime = TRUE) } # custom GTM server side endpoint my_custom_connection <- mp_connection( my_measurement_id, endpoint = "https://gtm.example.com", preview_header = "ZW52LTV8OWdPOExNWFkYjA0Njk4NmQ=" )