#' Calculate common display aggregates on a DoubleClick data frame
#'
#' @param df data frame with DoubleClick report data
#'
#' @return summarised tbl_df
#' @importFrom magrittr "%>%"
#' @export
#'
summarise_dfa <- function(df) {
df %>%
dplyr::summarise(
#start_date = min(calendardate),
cost = sum(media_cost,na.rm = T) + sum(ad_serving_cost,
na.rm = T) +
sum(click_command_fee, na.rm = T),
impressions = sum(impressions,
na.rm = T),
clicks = sum(clicks,
na.rm = T),
orders_total = sum(sales_confirmation_page_transaction_count,
na.rm = T),
orders_clickthrough = sum(
sales_confirmation_page_click_through_transaction_count,
na.rm = T
),
orders_viewthrough = sum(
sales_confirmation_page_view_through_transaction_count,
na.rm = T
),
revenue_total = sum(sales_confirmation_page_total_revenue,
na.rm = T),
revenue_clickthrough = sum(
sales_confirmation_page_click_through_revenue,
na.rm = T),
revenue_viewthrough = sum(
sales_confirmation_page_view_through_revenue,
na.rm = T)
) %>%
dplyr::mutate(
ctr = clicks / impressions,
cvr = orders_clickthrough / clicks,
orders_total = orders_clickthrough + orders_viewthrough,
revenue_total = revenue_clickthrough + revenue_viewthrough,
roas_total = (revenue_clickthrough + revenue_viewthrough) / cost,
roas_viewthrough = revenue_viewthrough / cost,
roas_clickthrough = revenue_clickthrough / cost
) %>%
as.data.frame
}
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