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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Marketing Campaigning Prediction |
| Authors Name: | Pramod Tidke , Rohit Pounikar , Vidyadhar Pradhan , Abhi Ambade, Sumit Sahare , Ms. Kiran Likhar |
| Unique Id: | IJSDR2005052 |
| Published In: | Volume 5 Issue 5, May-2020 |
| Abstract: | In market campaigning prediction, Identifying customers who are more likely to respond to a product offering is an important issue in marketing campaigning. In marketing campaigning, data mining has been used extensively to identify potential customers for a new product (target selection). Using historical purchase data, a predictive response model with data mining techniques predict a probability that a customer is going to respond to a promotion or an offer. To reach this purpose a predictive response model using customer historical purchase data is build with data mining techniques. Response market campaign procedure consists of several steps. In building a response model one has to deal with some issues, such as: constructing all purchase, determining the inputs to the model like train model, predictine analytic, fetch data, save model. The purpose of this study is to deal with all these issues and steps of campaign. Thus various data mining techniques and algorithms are used to implement each step of campaign model and alleviate related difficulties. |
| Keywords: | - |
| Cite Article: | "Marketing Campaigning Prediction", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 5, page no.326 - 328, May-2020, Available :http://www.ijsdr.org/papers/IJSDR2005052.pdf |
| Downloads: | 000336850 |
| Publication Details: | Published Paper ID: IJSDR2005052 Registration ID:191816 Published In: Volume 5 Issue 5, May-2020 DOI (Digital Object Identifier): Page No: 326 - 328 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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