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Practice paper

How machine learning is developing to get more insight from complex voice-of-customer data

Nigel Howlett
Applied Marketing Analytics: The Peer-Reviewed Journal, 3 (3), 250-254 (2017)
https://doi.org/10.69554/XVBZ1375

Abstract

This paper introduces a new type of machine learning for voice-of-customer data and discusses its advantages, use cases and implementation compared with previous machine learning methods and text analytics.

Keywords: voice-of-customer; machine learning; predictive analytics; text analytics; marketing analytics; customer experience; customer services; customer insight

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Author's Biography

Nigel Howlett is Managing Director, International at the digital marketing agency Epsilon as well as Advisor at predictive analytics firm Warwick Analytics. His previous roles include International President at IRI as well as executive positions at OgilyOne and elsewhere.

Citation

Howlett, Nigel (2017, August 8). How machine learning is developing to get more insight from complex voice-of-customer data. In the Applied Marketing Analytics: The Peer-Reviewed Journal, Volume 3, Issue 3. https://doi.org/10.69554/XVBZ1375.

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cover image, Applied Marketing Analytics: The Peer-Reviewed Journal
Applied Marketing Analytics: The Peer-Reviewed Journal
Volume 3 / Issue 3
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