get_users: Get Users by Product ID, Type, and Various Date Spans

In reveneraR: Connect to Your 'Revenera' (Formerly 'Revulytics') Data

Get Users by Product ID, Type, and Various Date Spans

Description

For a given period of time (a day, week, or month) Revenera's API summarizes and returns the number of active users. With this function you can return daily, weekly, or monthly active users for multiple product ids.

Usage

get_users(
  rev_product_ids,
  user_type,
  rev_date_type,
  rev_start_date,
  rev_end_date,
  rev_session_id,
  rev_username,
  lost_days = 30,
  lost_reported = "dateLastSeen",
  optional_json = ""
)

Arguments

rev_product_ids	A vector of Revenera product id's for which you want active user data.
user_type	One of "active," "new", or "lost."
rev_date_type	Level of aggregation, Revenera will accept "day", "week", or "month".
rev_start_date	Date formatted YYYY-MM-DD. Revenera may give an error if you try to go back too far.
rev_end_date	Date formatted YYYY-MM-DD.
rev_session_id	Session ID established by the connection to Revenera API. This can be obtained with revenera_auth().
rev_username	Revenera username.
lost_days	Required for lost users, the number of consecutive days of inactivity before a client is considered lost.
lost_reported	Required for lost users, should the lost date be the first day of inactivity ("dateLastSeen") or date client is considered lost ("dateDeclaredLost").
optional_json	Optional JSON text to add to the request body for things like global filters.

Details

You can specify a start and end date but Revenera does not store an indefinite period of historical data.

It is not recommended that your username be stored directly in your code. There are various methods and packages available that are more secure; this package does not require you to use any one in particular.

The optional_json parameter is available so that other optional arguments can be added to the api request. This will require the user to consult the API documentation. See README for an example.

Value

Data frame with active users for each product id and unique date within the range

Examples

## Not run: 
rev_user <- "my_username"
rev_pwd <- "super_secret"
product_ids_list <- c("123", "456", "789")
start_date <- lubridate::floor_date(Sys.Date(), unit = "months") - months(6)
end_date <- Sys.Date() - 1
session_id <- revenera_auth(rev_user, rev_pwd)
global_filter <- paste0(
  ",\"globalFilters\":{\"licenseType\":",
  "{\"type\":\"string\",\"value\":\"purchased\"}}"
)
monthly_active_users <- get_users(product_ids_list,
  "active",
  "month",
  start_date,
  end_date,
  session_id,
  rev_user,
  optional_json = global_filter
)

## End(Not run)

reveneraR documentation built on Aug. 6, 2022, 5:07 p.m.