Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Marketing and sales have been major pillars in any business processing services either product or service-based organizations, they are the ones which enable the companies to survive and are able to increase their capability to make money and deliver the right products to the right clients. But it would always be hard for the sales team to process this without hurdles as the leads they generate and get are almost out of segment or the ones who already are using an alternative for the product, this also increases the company spend and reduces the rate of closing the deal. To overcome this, we are implementing a solution on predictive lead scoring by using machine learning to provide the sales and marketing people with advance knowledge on customers with ways to target and close most deals which save a lot of time and increases revenue proportionately.
Keywords:
Cite Article:
"Lead Score Analysis", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1496 - 1502, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304246.pdf
Downloads:
000205197
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator