Simon Rogers - Leveraging Communities
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This document discusses how to leverage online communities for digital engagement and brand messaging. It outlines an approach that involves identifying relevant online conversations, communities, and influencers related to a brand's proposition and objectives. Data on conversations is analyzed to recommend who to engage with and what messages to use. The goal is to develop creative and measurable engagement campaigns by joining relevant conversations in an authentic way. Metrics are used to identify influential stakeholders and map how information flows between them on a given topic.
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- La importancia de disponer de tecnologías adecuadas para la escucha social permanente de las conversaciones y la detección de estas comunidades
- El papel de la tecnología y el Data Science, para analizar el contenido más atractivo para el usuario y hacer que las marcas conecten con él y mejoren el ROI de sus acciones acertando más sus propuestas.
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Cloud Access Security Broker CASB: 2018 Media & Influencer Analysis
2018 media and influencer analysis of the Cloud Access Security Broker CASB industry. #cybersecurity #communications #SaaS #EnterpriseSoftware #cloudsecurity
Artificial Intelligence: 2018 Media & Influencer Analysis
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#AppSec #Security #cybersecurity #communications #SaaS #EnterpriseSoftware
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The document discusses the basics and strategies of social media. It outlines a 5 stage process for social media participation: listening, engaging, using social content, generating buzz, and community building. Key points include using tools like Google Alerts to listen to conversations, adding value when engaging audiences, inviting user generated content, using multiple channels to generate buzz, and empowering communities to collaborate. Metrics for measuring success are also addressed.
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- 1. “ Leveraging Communities” Digital Engagement Analysis July 2010
- 2. About us
- 10. Examples…
- 11. Booze…
- 12. Sex…
- 14. Influence Network – Topic: HotHatches
- 15. The Egonet of an ‘Influential authority’
- 16. The Influencers & how they rank
- 17. … Measures Criteria used for conversation analysis are as follows: Influence: Defined as a source’s ability to affect actions or opinions in a given context. A source with high influence tends to be mentioned by other sources also influential on that topic. Influence considers both the quantity and quality of mentions made. Popularity (profile): The extent to which the views of sources on a particular topic are liked or supported by many other people. A source with a high level of popularity has been frequently mentioned in the context of the topic. Relative influence: Sources with a high relative influence have a lower popularity and smaller number of connections, but are linked to by important Influencers considered “in the know”. Hubness: Sources which act as hubs may not have a high level of influence themselves, but play an important role in connecting Influencers together and amplifying their content and opinions to a wider audience. Betweenness: Measures how important a stakeholder is in the flow of information on a particular topic. Stakeholders with a high betweenness tend to hold a powerful position because they facilitate conversations between other stakeholders on that topic.
- 22. Q & A
- 23. Simon Rogers +44 7977 00 1372 [email_address]