Marketing Campaigning Prediction
Pramod Tidke
, Rohit Pounikar , Vidyadhar Pradhan , Abhi Ambade, Sumit Sahare , Ms. Kiran Likhar
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.
"Marketing Campaigning Prediction", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 5, page no.326 - 328, May-2020, Available :https://ijsdr.org/papers/IJSDR2005052.pdf
Volume 5
Issue 5,
May-2020
Pages : 326 - 328
Paper Reg. ID: IJSDR_191816
Published Paper Id: IJSDR2005052
Downloads: 000347238
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
