Van Westendorp Price Sensitivity Meter Analysis

An implementation of the van Westendorp Price Sensitivity Meter in R, which is a survey-based approach to analyze consumer price preferences and sensitivity (van Westendorp 1976, isbn:9789283100386).


pricesensitivitymeter

CRAN_Status_Badge

Overview

pricesensitivitymeter is an implementation of the van Westendorp Price Sensitivity Meter (PSM) in R, which is a popular method in market research to analyze consumer price preferences and price sensitivity. It also covers the so-called Newton Miller Smith Extension which allows to estimate prices that maximize the trial rate and the revenue.

Installation

As of version 0.2.1, this package is hosted on CRAN.

install.packages("pricesensitivitymeter")
 
# install the development version from Github
devtools::install_github("alletsee/pricesensitivitymeter")

Usage

The main function of the package is psm_analysis() which performs all necessary analyses.

## creating example data
 
tch <- round(rnorm(n = 250, mean = 5, sd = 0.5), digits = 2)
ch <- round(rnorm(n = 250, mean = 8.5, sd = 0.5), digits = 2)
ex <- round(rnorm(n = 250, mean = 13, sd = 0.75), digits = 2)
tex <- round(rnorm(n = 250, mean = 17, sd = 1), digits = 2)
 
data.psm.demo <- data.frame(tch, ch, ex, tex)
 
## running the analysis
output.psm.demo <- psm_analysis(toocheap = "tch",
  cheap = "ch",
  expensive = "ex",
  tooexpensive = "tex",
  data = data.psm.demo)
 
summary(output.psm.demo)

Additional Information

References

Van Westendorp, P (1976) “NSS-Price Sensitivity Meter (PSM) – A new approach to study consumer perception of price” Proceedings of the ESOMAR Congress, 139–167. Online available at the ESOMAR website.

Newton, D, Miller, J, Smith, P, (1993) “A market acceptance extension to traditional price sensitivity measurement” Proceedings of the American Marketing Association Advanced Research Techniques Forum.

News

NEWS pricesensitivitymeter

version 0.4.1 (Release date: 2018-10-21)

Changes:

  • fixes issue with calculation of "point of marginal cheapness" and "point of marginal expensiveness" (acceptable price range). also affects documentation and visualization vignette. thanks to athib2 for flagging it
  • fixes bug in calculation of % of removed cases (did show only 0/1 before, now proper percentages)
  • fixes typos in summary() function and in the documentation
  • adds unit testing for Newton Miller Smith input as dataframe

version 0.3.3 (Release date: 2018-10-14)

Changes:

  • fixes an issue in the unit testing with an if condition with length greater 1 (thanks to Tomas Kalibera for automated testing in R-devel)

version 0.3.2 (Release date: 2018-05-12)

Changes:

  • changing links from http://... to https://...

version 0.3.0 (Release date: 2018-05-10)

Changes:

  • adding optional argument to interpolate between price points
  • adding a vignette for the interpolate argument
  • edits in the README: fixing typos, amending the installation instructions

version 0.2.1 (Release date: 2018-04-12)

Changes:

  • addressing feedback from CRAN submit: adding proper citation of the main publication in the DESCRIPTION file

version 0.2 (Release date: 2018-04-11)

Changes:

  • adding support for running the analysis without a "too cheap" price
  • adding a charting vignette
  • adding automated testing of function inputs and function outputs
  • renaming the main function from "PSManalysis" to "psm_analysis" (for readability reasons)
  • improving smoothing of trial/revenue optimization when using Newton Miller Smith extension: setting up the price matrix with continuous price steps between the minimum and the maximum to avoid jumps that come from the lack of price points in a specific area
  • refining the data input checks (resulting from the c() implementation of hierarchies between data classes)

version 0.1 (Release date: 2017-05-20)

Changes:

  • first complete Github version incl. function documentation

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("pricesensitivitymeter")

0.4.1 by Max Alletsee, 6 months ago


https://github.com/alletsee/pricesensitivitymeter


Report a bug at https://github.com/alletsee/pricesensitivitymeter/issues


Browse source code at https://github.com/cran/pricesensitivitymeter


Authors: Max Alletsee [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Depends on methods

Suggests knitr, rmarkdown, testthat, ggplot2


See at CRAN