library(metatargetr)
library(ggplot2)
# Get aggregated spending data
spending_data <- ggl_get_spending(
advertiser_id = "AR18091944865565769729",
start_date = "2023-10-24",
end_date = "2023-11-22",
cntry = "NL"
)
Google Transparency Report Integration
Accessing Google Transparency Data
metatargetr provides integration with the Google Transparency Report through the ggl_get_spending()
function:
Time-Based Analysis
For temporal analysis, use the get_times
parameter:
# Get time-series data
timeseries_data <- ggl_get_spending(
advertiser_id = "AR18091944865565769729",
start_date = "2023-10-24",
end_date = "2023-11-22",
cntry = "NL",
get_times = TRUE
)
# Create visualization
ggplot(timeseries_data, aes(x = date, y = spend)) +
geom_col() +
theme_minimal() +
labs(
title = "Ad Spending Over Time",
x = "Date",
y = "Spend Amount"
)
Understanding the Metrics
The Google Transparency Report provides:
Total spending amounts
Ad type distribution
Temporal patterns
Regional variations