robyn_marginal: Robyn: Marginal Performance (mROAS & mCPA) [Experimental]

In laresbernardo/lares: Analytics & Machine Learning Sidekick

Robyn: Marginal Performance (mROAS & mCPA) [Experimental]

Description

Calculate and plot marginal performance of any spend or organic variable.

Usage

robyn_marginal(..., marginal_unit = 1)

Arguments

...	Additional parameters.
marginal_unit	Additional units to calculate the marginal performance.

Value

list with base and marginal response results, marginal performance metric and value, and plot.

See Also

Other Robyn: robyn_hypsbuilder(), robyn_modelselector(), robyn_performance()

Examples

## Not run: 
# You may load an exported model to recreate Robyn objects
mod <- Robyn::robyn_recreate(json_file = "your_model.json")
robyn_marginal(
  InputCollect = mod$InputCollect,
  OutputCollect = mod$OutputCollect, 
  metric_name = "emails_O", 
  metric_value = 100000, 
  date_range = "all",
  marginal_unit = 10000000)

## End(Not run)

laresbernardo/lares documentation built on Feb. 16, 2025, 6:28 p.m.