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Online reviews and customer satisfaction: The use of Trustpilot by UK retail energy suppliers and three other sectors

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  • Stephen Littlechild

    (University of Birmingham and CJBS)

Abstract

Online consumer reviews are now widely used and influential. Trustpilot is a relatively new but rapidly growing consumer review website. It is by far the most used review website in UK retail energy supply sector. This paper provides some background and insight into how Trustpilot works, how it is used in that sector, and for comparison in three other sectors (supermarkets, banking and mobile phones), and how this usage has evolved over 2019 and 2020. There is great variation in usage of Trustpilot both within and between sectors. Trustpilot was least used by supermarkets and their customers, and most by energy suppliers and customers. Many aspects of usage, including numbers of Trustpilot domains claimed by companies, invitations to review, reviews and responses to reviews, have increased over 2019-20, although not evenly. Former incumbent companies typically make less use of Trustpilot in all four sectors, and have lower TrustScores than entrants. However, five of the six Large energy suppliers have made significantly increased use of Trustpilot over 2019-20, and their TrustScores have increased. Detailed examination of Trustpilot use by ten energy suppliers explains how inviting Trustpilot reviews enables them to improve customer service as well as increase TrustScores. A final pair of comparisons shows that companies advising UK customers on energy supply score highly on Trustpilot, and make active use of it. In contrast, voluntary and regulatory organisations in the UK energy sector and their customers make little use of it, and these organisations have very low TrustScores.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Stephen Littlechild, 2020. "Online reviews and customer satisfaction: The use of Trustpilot by UK retail energy suppliers and three other sectors," Working Papers EPRG2025, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    • Handle: RePEc:enp:wpaper:eprg2025
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    References listed on IDEAS

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    1. Stephen Littlechild, 2020. "An Overall Customer Satisfaction score for GB energy suppliers," Working Papers EPRG2027, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    2. Miguel Flores & Catherine Waddams Price, 2013. "Consumer behaviour in the British retail electricity market," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2013-10, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    3. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    4. Morten Hviid & Catherine Waddams Price, 2012. "Non‐Discrimination Clauses in the Retail Energy Sector," Economic Journal, Royal Economic Society, vol. 122(562), pages 236-252, August.
    5. Xinxin Li & Lorin M. Hitt, 2008. "Self-Selection and Information Role of Online Product Reviews," Information Systems Research, INFORMS, vol. 19(4), pages 456-474, December.
    6. Jones, Michael A. & Mothersbaugh, David L. & Beatty, Sharon E., 2002. "Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes," Journal of Business Research, Elsevier, vol. 55(6), pages 441-450, June.
    7. Ek, Kristina & Söderholm, Patrik, 2008. "Households' switching behavior between electricity suppliers in Sweden," Utilities Policy, Elsevier, vol. 16(4), pages 254-261, December.
    8. Catherine Waddams Price & Minyan Zhu, 2016. "Empirical Evidence Of Consumer Response In Regulated Markets," Journal of Competition Law and Economics, Oxford University Press, vol. 12(1), pages 113-149.
    9. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
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    1. Littlechild, S., 2020. "An Overall Customer Satisfaction score for GB energy suppliers," Cambridge Working Papers in Economics 2090, Faculty of Economics, University of Cambridge.

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    More about this item

    Keywords

    online reviews; customer satisfaction; customer feedback; Trustpilot; retail energy market; supermarkets; banks; mobile phone providers;
    All these keywords.

    JEL classification:

    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L84 - Industrial Organization - - Industry Studies: Services - - - Personal, Professional, and Business Services
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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