Git Product home page Git Product logo

nbdprogram's Introduction

NBD Program

Predicting Purchase Rates in Stationary Markets.

NBD Program
Predicting purchase rates in stationary markets

(b): 0.2
(w): 2.1
(t): 12 weeks

Penetration (b)
 1 day 1 week 4 weeks 12 weeks 24 weeks 48 weeks 365 days
 0.005  0.032     0.1      0.2    0.277    0.355    0.364

Purchase frequency (w)
 1 day 1 week 4 weeks 12 weeks 24 weeks 48 weeks 365 days
 1.015  1.106   1.401      2.1    3.036    4.729    5.007

Repat purchase (%)
 1 day 1 week 4 weeks 12 weeks 24 weeks 48 weeks 365 days
 2.966  16.82   40.99   61.646   71.615   78.885   79.597

Purchase frequency of buyers
 1 day 1 week 4 weeks 12 weeks 24 weeks 48 weeks 365 days
 1.028  1.184   1.634    2.548    3.666    5.596    5.908

Purchase frequency of new buyers
 1 day 1 week 4 weeks 12 weeks 24 weeks 48 weeks 365 days
 0.005  0.032   0.113    0.304    0.581    1.128    1.222

Proportion -

            1 day 1 week 4 weeks 12 weeks 24 weeks 48 weeks 365 days
not buying  0.995  0.968   0.900    0.800    0.723    0.645    0.636
buying once 0.005  0.029   0.073    0.106    0.114    0.112    0.111
twice       0.000  0.003   0.018    0.043    0.055    0.060    0.060
3 times     0.000  0.000   0.006    0.022    0.033    0.039    0.040
4 times     0.000  0.000   0.002    0.012    0.021    0.028    0.029
5 times     0.000  0.000   0.001    0.007    0.014    0.021    0.022

Proportion of sales due to those buying -

            1 day 1 week 4 weeks 12 weeks 24 weeks 48 weeks 365 days
buying once 0.970  0.820   0.522    0.252    0.135    0.067    0.061
twice       0.029  0.150   0.262    0.206    0.131    0.071    0.066
3 times     0.001  0.025   0.121    0.155    0.117    0.070    0.065
4 times     0.000  0.004   0.054    0.113    0.101    0.067    0.063
5 times     0.000  0.001   0.024    0.081    0.086    0.063    0.059

References

  • East, R. and Wright, M. and Vanhuele, M. (2013). Consumer Behaviour: Applications in Marketing. SAGE Publications, pp. 72-85.

  • Repeat-Buying: Facts,Theory and Applications, 2nd edn. A.S.C. Ehrenberg, 1988, London, Charles Griffin, ISBN 0 85264 287 3 Book Review: Repeat-Buying:Facts,Theory and Applications by A.S.C. Ehrenberg. Norman Pigden. The Statistician, Vol. 40, No. 3, Special Issue (1991), pp. 349-350.

  • Brasini, S., Tassinari, F., & Tassinari, G. (1999). Marketing e pubblicità: metodi di analisi statistica. Il mulino, pp. 207-215.

nbdprogram's People

Contributors

dmedri avatar

Stargazers

 avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.