eCPM: Effective cost per thousand impressions

In AutoAds: Advertisement Metrics Calculation

Effective cost per thousand impressions

Description

Calculating eCPM based on Impressions and Revenue data. The dataset has to be named 'data' and include columns 'Impressions' and 'Revenue'.

Usage

eCPM(data)

Arguments

data	Dataset downloaded from excel file, has to be assigned to 'data' and include columns 'Impressions' and 'Revenue'.

Value

Cost per thousand impressions of an ad, shown in the currency the original file had for 'Revenue'.

Note

Dataset has to be named 'data' and include columns 'Impressions' and 'Revenue'.

Author(s)

Ivan Nemtsev

Examples

## The function is currently defined as
eCPM <- function(data){
  x <- data$Impressions
  y <- data$Revenue
  round(
    y/x*1000,
    digits=2)
}

## Example of use:
data <- data.frame(
  Date = c("2022-07-01", "2022-07-02", "2022-07-03", "2022-07-29", "2022-07-30", "2022-07-31"),
  Block = c("1_234", "1_234", "1_234", "1_235", "1_235", "1_235"),
  Requests = c(372234, 268816, 291224, 1928854, 1928290, 786539),
  Impressions = c(18537, 12432, 13764, 2839269, 2682648, 1114773),
  Revenue = c(13.5, 9.13, 8.85, 1669.0, 1654.0, 739.0),
  Clicks = c(1167, 720, 856, 214451, 196657, 93178),
  Viewable = c(13320, 8214, 9768, 2446884, 2243865, 1063158)
)
data$eCPM <- eCPM(data)
  

AutoAds documentation built on July 9, 2023, 6:03 p.m.