Email Campaign:Using Subscriber Information
| Author(s) | : | Shikha Agrawal, Ajinkya Bangale, Riya Gupte, Steffi Fernandes |
| Institution | : | Asst. Professor, Computer, AISSMS IOIT, Pune, Maharashtra, India |
| Published In | : | Vol. 3, Issue 13 — January 2016 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Now a days; Email Campaigning is very popular in the marketing field. It is used to save time andincreasing productivity of marketers. Currently email campaigning is giving high return on investment This paperintroduce a model for effective email campaigning system..This system uses Probabilistic Naïve Bayes classificationtechnique for classification of subscribers based on their activity data. System consist of two components: storesubscribers session data in database and by using classification data mining technique campaign message is sent tousers based on their individual interest. This system uses multithreading concept for simultaneously sending bulk amountof mails.
Shikha Agrawal, Ajinkya Bangale, Riya Gupte, Steffi Fernandes, “Email Campaign:Using Subscriber Information”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 13, pp. -, January 2016.
