Predicting the Likeliest Customers; Minimizing Losses on Product Trials Using Business Analytics

Author:

Nigam TusharORCID,Agarwal RashmiORCID

Publisher

Springer Nature Switzerland

Reference13 articles.

1. Emmer, M.: Inc.com (2018). https://www.inc.com/marc-emmer/95-percent-of-new-products-fail-here-are-6-steps-to-make-sure-yours-dont.html. Accessed 10 Aug 2022

2. Sun, K., Zuo, M., Kong, D.: What can product trial offer?: the influence of product trial on chinese consumers’ attitude towards IT product, vol. 8, no. 1, pp. 24–37 (2017). https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJABIM. https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJABIM.2017010102, doi: https://doi.org/10.4018/IJABIM.2017010102

3. Contributor, T.: What is purchase intent? - Definition from WhatIs.com (2017). https://www.techtarget.com/whatis/definition/purchase-intent. Accessed 10 Aug 2022

4. Mai, W.: A data mining system for potential customers based on one-class support vector machine. J. Phys. Conf. Ser. 2031(1) (2021). https://doi.org/10.1088/1742-6596/2031/1/012066

5. Team, B.C.: MBA Skool (2021). https://www.mbaskool.com/business-concepts/marketing-and-strategy-terms/10976-purchase-intention.html. Accessed 10 Aug 2022)

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