International Journal of Management and Applied Science (IJMAS)
current issues
Volume-4,Issue-10  ( Oct, 2018 )
Past issues
  1. Volume-4,Issue-10  ( Oct, 2018 )
  2. Volume-4,Issue-9  ( Sep, 2018 )
  3. Volume-4,Issue-8  ( Aug, 2018 )
  4. Volume-4,Issue-7  ( Jul, 2018 )
  5. Volume-4,Issue-6  ( Jun, 2018 )
  6. Volume-4,Issue-5  ( May, 2018 )
  7. Volume-4,Issue-4  ( Apr, 2018 )
  8. Volume-4,Issue-3  ( Mar, 2018 )
  9. Volume-4,Issue-2  ( Feb, 2018 )
  10. Volume-4,Issue-1  ( Jan, 2018 )

Statistics report
Jan. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 56
Paper Published : 3637
No. of Authors : 7479
  Journal Paper




Paper Title :
A Low-Risk Experiments for Customer Segments of E-Mail Marketing Campgains: A Business Intelligence Approach

Author :George Sammour, Benoit Depaire, Koen Vanhoof

Article Citation :George Sammour ,Benoit Depaire ,Koen Vanhoof , (2017 ) " A Low-Risk Experiments for Customer Segments of E-Mail Marketing Campgains: A Business Intelligence Approach " , International Journal of Management and Applied Science (IJMAS) , pp. 41-47, Volume-3,Issue-3

Abstract : Research in e-mail marketing is divided into two broad areas spam and improving response rate. In this paper a methodology is proposed which allows companies to experiment with their e-mail campaigns to increase the campaigns’ response rate. This methodology is particularly suited for companies that are reluctant to experiment with their customer’s data which may lead to a drop of the response rate due to unsuccessful changes of the e-mail campaign. The objectives of this research have been achieved in applying a two-step approach. Firstly, homogeneous groups of customers are identified, eliminating largely any hindering heterogeneity. Secondly, customers that are not clicking and/or having a low click rate within their homogeneous groups are identified. The results are promising such that it allowed for making informed recommendations for low-risk experiments on customers having a non/low-click behaviour on a weekly newsletter e-mail. Keywords- E-mail marketing campaign, response rate, click rate, cluster analysis, decision tree modelling

Type : Research paper

Indexed : Google Scholar


Copyright: © Institute of Research and Journals

| PDF |
Viewed - 35
| Published on 2017-06-08
   
   
IRAJ Other Journals
IJMAS updates
IJMAS -THANK YOU ALL FOR CONTRIBUTING YOUR PAPER TO IJMAS DECEMBER ISSUE.ALL AUTHORS ARE REQUESTED TO GET THEIR HARD COPY NOW.
The Conference World
Facebook

JOURNAL SUPPORTED BY