Paper
21 February 2012 Measuring engagement effectiveness in social media
Lei Li, Tong Sun, Wei Peng, Tao Li
Author Affiliations +
Proceedings Volume 8302, Imaging and Printing in a Web 2.0 World III; 83020F (2012) https://doi.org/10.1117/12.910034
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
Social media is becoming increasingly prevalent with the advent of web 2.0 technologies. Popular social media websites, such as Twitter and Facebook, are attracting a gigantic number of online users to post and share information. An interesting phenomenon under this trend involves that more and more users share their experiences or issues with regard to a product, and then the product service agents use commercial social media listening and engagement tools (e.g. Radian6, Sysomos, etc.) to response to users' complaints or issues and help them tackle their problems. This is often called customer care in social media or social customer relationship management (CRM). However, all these existing commercial social media tools only provide an aggregated level of trends, patterns and sentiment analysis based on the keyword-centric brand relevant data, which have little insights for answering one of the key questions in social CRM system: how effective is our social customer care engagement? In this paper, we focus on addressing the problem of how to measure the effectiveness of engagement for service agents in customer care. Traditional CRM effectiveness measurements are defined under the scenario of the call center, where the effectiveness is mostly based on the duration time per call and/or number of answered calls per day. Different from customer care in a call center, we can obtain detailed conversations between agents and customers in social media, and therefore the effectiveness can be measured by analyzing the content of conversations and the sentiment of customers.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei Li, Tong Sun, Wei Peng, and Tao Li "Measuring engagement effectiveness in social media", Proc. SPIE 8302, Imaging and Printing in a Web 2.0 World III, 83020F (21 February 2012); https://doi.org/10.1117/12.910034
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Web 2.0 technologies

Data modeling

Distance measurement

Analytical research

Environmental sensing

Lithium

Mining

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