calculate_total_cm

Uses simple Bayesian conjugate prior update rules to calculate
the win probability of each option, value remaining in the test, and
percent lift over the baseline for various marketing objectives.
References:
Fink, Daniel (1997) "A Compendium of Conjugate Priors" <https://www.johndcook.com/CompendiumOfConjugatePriors.pdf>.
Stucchio, Chris (2015) "Bayesian A/B Testing at VWO" <https://vwo.com/downloads/VWO_SmartStats_technical_whitepaper.pdf>.

Ryan Angi

grizbayr

Bayesian Inference for A|B and Bandit Marketing Tests

calculate_total_cm function

<dl><dt>rev_per_click</dt>
<dd>vector of rev per click samples</dd>
<dt>cost_per_click</dt>
<dd>vector of cost per click (cpc) samples</dd>
<dt>expected_clicks</dt>
<dd>vector of expected clicks (expected CTR * fixed impressions)</dd></dl>

Arguments

Calculate Total CM — calculate_total_cm

<dl>

<dt>rev_per_click</dt>
<dd>vector of rev per click samples</dd>


<dt>cost_per_click</dt>
<dd>vector of cost per click (cpc) samples</dd>


<dt>expected_clicks</dt>
<dd>vector of expected clicks (expected CTR * fixed impressions)</dd>

</dl>

calculate_total_cm: Calculate Total CM

Description

Usage

Value

Arguments