dummy_data

A dataset contains columns often used in the digital marketing industry by user demographics

datasets

Provides a mechanism for easy computation of marketing metrics.
By default in this package, metrics for digital marketing (e.g. CTR (Click Through Rate), CVR (Conversion Rate), CPC (Cost Per Click) etc) are calculated but you can define your own metrics easily.
In addition to that, you can change an analysis axis to calculate these metrics.

Shinichi Takayanagi

mmetrics

Easy Computation of Marketing Metrics with Different Analysis
Axis

Nagi Teramo

Takahiro Yoshinaga

Yanjin Li

dummy_data function

A data frame with 10 rows and 6 variables:<dl class="dl-horizontal">
<dt>gender</dt><dd>gender, Men (M) or Female (F)</dd>
<dt>age</dt><dd>age</dd>
<dt>cost</dt><dd>the amount how much money do you earn or advertisers spend</dd>
<dt>impression</dt><dd>the number of how many times some ads are shown to users</dd>
<dt>click</dt><dd>the number of how many times users click ads</dd>
<dt>conversion</dt><dd>the number of how many times users converge</dd>
</dl>

Format

Dummy data.frame for this package — dummy_data

A data frame with 10 rows and 6 variables:<dl class='dl-horizontal'>
<dt>gender</dt><dd>gender, Men (M) or Female (F)</dd>
<dt>age</dt><dd>age</dd>
<dt>cost</dt><dd>the amount how much money do you earn or advertisers spend</dd>
<dt>impression</dt><dd>the number of how many times some ads are shown to users</dd>
<dt>click</dt><dd>the number of how many times users click ads</dd>
<dt>conversion</dt><dd>the number of how many times users converge</dd>
</dl>

dummy_data: Dummy data.frame for this package

Description

Usage

Arguments

Format