Get activity on an individual user
ga_clientid_activity(
ids,
viewId,
id_type = c("CLIENT_ID", "USER_ID"),
activity_type = NULL,
date_range = NULL
)The userId or clientId. You can send in a vector of them
The viewId
Whether its userId or clientId
If specified, filters down response to the activity type. Choice between "PAGEVIEW","SCREENVIEW","GOAL","ECOMMERCE","EVENT"
A vector of start and end dates. If not used will default to a week.
A list of data.frames: $sessions contains session level data. $hits contains individual activity data
The User Activity API lets you query an individual user's movement through your website, by sending in the individual clientId or userId.
Bear in mind each call will count against your API quota, so fetching a large amount of client ids will be limited by that.
Use ga_clientid_activity_unnest to unnest deeply nested data in the hits data.
The timestamps are available to millisecond level but you will need to set your R options to see them e.g. options(digits.secs=3)
if (FALSE) {
# access data for individual users
uar <- ga_clientid_activity(c("1106980347.1461227730", "476443645.1541099566"),
viewId = 81416156,
date_range = c("2019-01-01","2019-02-01"))
# access clientIds for users who have transacted
viewId <- 106249469
date_range <- c("2019-01-01","2019-02-01")
cids <- google_analytics(viewId,
date_range = date_range,
metrics = "sessions",
dimensions = "clientId",
met_filters = filter_clause_ga4(
list(met_filter("transactions",
"GREATER_THAN",
0)
)))
transactors <- ga_clientid_activity(cids$clientId,
viewId = viewId,
date_range = date_range)
# access the data.frames returned:
# the session level data for the users passed in
uar$sessions
# the hit level activity for the users passed in
uar$hits
# filter the response to only include certain activity types, such as goals:
only_goals <- ga_clientid_activity(c("1106980347.1461227730",
"476443645.1541099566"),
viewId = 81416156,
date_range = c("2019-01-01","2019-02-01"),
activity_types = "GOAL")
}