Predictive Lead Scoring
Predictive Lead Scoring is a computational method in marketing analytics that distinguishes itself from other scoring techniques by leveraging machine learning algorithms and historical customer data to estimate the likelihood of a lead converting into a sale.
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Publications
23
Citations
2
Authors
2
Institutions
Publications per year
2017–2026
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Parents
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Automating Lead Scoring with Machine Learning: An Experimental Study
Robert Nygård, József Mezei · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2020 · 23 citations · Full text
Business, Business Analytics, Management Information Systems +14
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Åbo Akademi University
Turku, Finland
1 h-index
2 publications
46 citations
Chongqing Technology and Business University
Chongqing, China
1 h-index
2 publications
46 citations
Université Hassan II Mohammedia
Mohammedia, Morocco
1 publications
10 citations

University of Hassan II Casablanca
Casablanca, Morocco
1 publications
10 citations
Guidewire (United States)
Foster City, United States
1 publications
10 citations
Salesforce (United States)
San Francisco, United States
1 publications
10 citations
1–6 of 2
Conference · 1 publications · 23 citations
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h-index
1 publications · 10 citations
1 publications · 10 citations
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