Please use this identifier to cite or link to this item:
https://repository.iimb.ac.in/handle/2074/12194
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jha, P C | |
dc.contributor.author | Aggarwal, Remica | |
dc.contributor.author | Dinesh Kumar, U | |
dc.contributor.author | Gayathri, S | |
dc.date.accessioned | 2020-05-29T13:12:18Z | - |
dc.date.available | 2020-05-29T13:12:18Z | - |
dc.date.issued | 2019 | |
dc.identifier.issn | 0975 - 8887 | |
dc.identifier.uri | https://repository.iimb.ac.in/handle/2074/12194 | - |
dc.description.abstract | In today’s competitive environment, marketing is critical to business success across all sectors. The challenge is even more pronounced in the financial sector and in order to survive and thrive in the financial crisis, it is required that these institutions should go for a revolutionized style of marketing known as real time marketing which involves conducting more focused inbound marketing campaigns and promoting the products to appropriate segments, at the right time and in the right place. The present research explores how financial institutions such as banks respond to real time marketing and the kind of inbound real time marketing offers by them which are usually governed by criteria such as income generation, age, family size etc. | |
dc.publisher | Foundation of Computer Science (FCS) | |
dc.subject | Marketing | |
dc.subject | Real Time Marketing | |
dc.subject | Inbound Marketing | |
dc.subject | Analytics | |
dc.subject | Predictive Modeling | |
dc.title | Conceptual framework for banking solutions based on real time marketing | |
dc.type | Journal Article | |
dc.identifier.doi | 10.5120/ijca2019919710 | |
dc.pages | 51-54p. | |
dc.vol.no | Vol.177 | - |
dc.issue.no | Iss.24 | - |
dc.journal.name | International Journal of Computer Applications | |
Appears in Collections: | 2010-2019 |
Files in This Item:
File | Size | Format | |
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Kumar_IJCA_2019_Vol.177_Iss.24.pdf | 492.15 kB | Adobe PDF | View/Open Request a copy |
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