Share these talks and lectures with your colleagues
Invite colleaguesPractice paper
How marketers can use the power of an AI/ML model to identify and predict customers
Applied Marketing Analytics: The Peer-Reviewed Journal,
8
(2),
111-121
(2022)
Abstract
Marketers are increasingly faced with a lot of data and need to identify the best prospects. Sales teams are often sceptical of the data provided by marketing and possibly blame the quality of the prospect data provided by marketing. Enter a neutral party, a neural network, an AI/ML model that can analyse the current customers and provide a mechanism for identifying co-relations and similarities in larger prospect data and increase the efficiency of sales teams.
Keywords: marketing analytics; artificial intelligence; machine learning; data; modelling
The full article is available to subscribers to the journal.
Author's Biography
Shash Bellamkonda a marketing leader and adjunct professor at Georgetown University and a digital marketing leader. He has worked with many entrepreneurs and SaaS businesses, teaching digital marketing strategy and marketing analytics. Shashi is passionate about customer success, having started his tech career in the front lines of this field. He recently spoke about the use of AI in marketing and sales at the MarketingProfs Conference and has spoken on digital marketing tools at conferences across the USA. Shashi was honoured with the Washington Business Journal's Washington Minority Business Leader award in 2016.
Citation
Bellamkonda, Shash (2022, October 1). How marketers can use the power of an AI/ML model to identify and predict customers. In the Applied Marketing Analytics: The Peer-Reviewed Journal, Volume 8, Issue 2. https://doi.org/10.69554/PNRU7727.
© Henry Stewart
Publications LLP
Publications LLP