robyn_performance: Robyn: Dynamic Performance and Contribution Report

In laresbernardo/lares: Analytics & Machine Learning Sidekick

Robyn: Dynamic Performance and Contribution Report

Description

Given a date range, calculate specific and total performance and contribution for each of your marketing and non-marketing channels.

Usage

robyn_performance(
  InputCollect,
  OutputCollect,
  start_date = NULL,
  end_date = NULL,
  solID = NULL,
  totals = TRUE,
  marginals = FALSE,
  carryovers = FALSE,
  quiet = FALSE,
  ...
)

Arguments

InputCollect, OutputCollect	Robyn output objects.
start_date, end_date	Date. Start and end date to filter the data to be reported.
solID	Character. Single ID of the model to report. If there's only one available in OutputCollect, no need to define.
totals	Boolean. Add total rows. This includes summary rows (promotional which is paid and organic channels, baseline, grand total).
marginals	Boolean. Include mROAS or mCPA marginal performance metric as an additional column called "marginal". Calculations are based on mean spend and mean response with mean carryover results, between start_date and codeend_date.
carryovers	Boolean. Add mean percentage of carryover response for date range between start_date and codeend_date on paid channels. Keep in mind organic variables also have carryover but currently not showing.
quiet	Boolean. Keep quiet? If not, message will be shown.
...	Additional parameters.

Value

data.frame with results on ROAS/CPA, spend, response, contribution per channel, with or without total rows.

See Also

Other Robyn: robyn_hypsbuilder(), robyn_modelselector()

Examples

## Not run: 
# You may load an exported model to recreate Robyn objects
mod <- Robyn::robyn_recreate(json_file = "your_model.json")
robyn_performance(mod$InputCollect, mod$OutputCollect)

## End(Not run)

laresbernardo/lares documentation built on Aug. 7, 2024, 10:58 p.m.