Measuring Marketing Communications Mix Effort Using Magnitude Of Influence And Influence Rank Metric

TL;DR

This paper introduces a novel social network analysis approach using Magnitude Of Influence and Influence Rank metrics to identify key marketing accounts on Twitter, demonstrating their impact on marketing effectiveness.

Contribution

It proposes new influence metrics and applies social network analysis to measure account influence in marketing communications, specifically in the context of an Indonesian telecom company's Twitter network.

Findings

More followers correlate with higher influence and responsibility.

Key accounts identified as most potential for marketing impact.

Network structure analysis reveals influential accounts in marketing efforts.

Abstract

In the context of modern marketing, Twitter is considered a communication platform to spread information. Many companies create and acquire several Twitter accounts to support and perform varieties of marketing mix activities. Initially, each accounts used to capture a specific market profile. Together, the accounts create a network of information that provide consumer to the information they need depends on their contextual utilization. From many accounts available, we have the fundamental question on how to measure the influence of each account in the market based not only on their relations but also on the effects of their postings. The magnitude of Influence (MOI) metric is adapted together with Influence Rank (IR) measurement of accounts in their social network neighborhood. We use social network analysis approach to analyze 65 accounts in the social network of an Indonesian mobile phone network operator, Telkomsel which involved in marketing communications mix activities through series of related tweets. Using social network provide the idea of the activity in building and maintaining relationships with the target audience. This paper shows the results of the most potential accounts based on the network structure and engagement. Based on this research, the more number of followers one account has, the more responsibility it has to generate the interaction from their followers in order to achieve the expected effectiveness. The focus of this paper is to determine the most potential accounts in the application of marketing communications mix in Twitter.