df_curve_reach_freq

A simulated cumulated reach and spend dataset by frequency buckets.
The headers must be kept as
<code>c("spend_cumulated", "response_cumulated", "freq_bucket")</code>.

datasets

Semi-Automated Marketing Mix Modeling (MMM) aiming to reduce human bias by means of ridge regression and evolutionary algorithms, enables actionable decision making providing a budget allocation and diminishing returns curves and allows ground-truth calibration to account for causation.

Bernardo Lares

Robyn

Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing
Science

Gufeng Zhou

Igor Skokan

Leonel Sentana

Meta Platforms, Inc. 

df_curve_reach_freq function

An object of class <code>"data.frame"</code><dl>
 <dt>spend_cumulated</dt>
<dd>cumulated spend of paid media</dd> <dt>response_cumulated</dt>
<dd>cumulated reach of paid media</dd> <dt>freq_bucket</dt>
<dd>Frequency bucket for cumulated reach</dd>
</dl>

Format

Robyn Dataset: Reach &amp; frequency simulated dataset — df_curve_reach_freq

An object of class <code>"data.frame"</code><dl>
 <dt>spend_cumulated</dt>
<dd>cumulated spend of paid media</dd>

 <dt>response_cumulated</dt>
<dd>cumulated reach of paid media</dd>

 <dt>freq_bucket</dt>
<dd>Frequency bucket for cumulated reach</dd>


</dl>

df_curve_reach_freq: Robyn Dataset: Reach & frequency simulated dataset

Description

Usage

Arguments

Value

Format

See Also

Examples