Last week I read a white paper that Pulsar recently published (Pulsar is a platform that has recently been added to the list of Audiense partners). The research is about the penetration of crypto as a mainstream conversation topic, beyond the specialized sector, and the analysis has been developed based on the social conversation that has taken place around the issue, using the Pulsar and Audiense platforms together.
If you are interested in this subject you can download the report here. "The New Social Currency: A report on the mainstream rise of cryptocurrency through the lens of social data" it seems that this "cryptocurrency" is now a mainstream conversation topic. When has the bitcoin replaced the weather as an elevator conversation? Honestly, I'm not very knowledgeable about the subject, so all the information social data could provide me would be welcomed.
I talked to Marc Geffen, Research Director at Pulsar and author of the research, and this is how he introduces this case of use of social listening and audience analysis tools Pulsar and Audiense working together:
Our crypto analysis was born out of the hypothesis that the mainstream was starting to take interest in cryptocurrency as early as September 2017, so this was an audience-focused research project from the outset. We knew there were high levels of social conversation around crypto, which we could analyze on many levels, but that analysis alone would not prove exactly who was behind the buzz.
The evolution of the consumer research takes us beyond social listening and the basic analysis of these social data. Traditionally, the results obtained from social listening covers what was said around the topic, brand, the sentiment and the volume of that conversation... but that was all. Now, with the analysis of the audiences behind the conversation, identifying interests, influencers and other characteristics of these users it is possible to better understand these individuals, segment them in different audiences relevant to the brands and target them in a personalised way.
Analysing recent social media conversation about cryptocurrencies and audience data we can answer questions like the followings:
The research showed that almost half of the people who participated in the conversation were basically asking ‘what are cryptocurrencies?’ (I must confess when I discovered I was not alone in this, I felt very relieved )
So far, by performing an active listening, we could gain data on when the conversation was taking place, the most used terms and keywords, the volume of the conversation. All this allows us to give context to the conversation, which this time provides a powerful vision on the evolution of cryptocurrencies towards a mainstream conversation.
But… Who is participating in this conversation and who is driving it?
And answering that question Marc said that:
On many social data research projects we aim to isolate the audience in some way, examining demographic- and affinity-patterns across networks of actual people - looking beyond what they are saying about a given topic. Doing this is challenging, certainly if you are to attempt it manually, with limited samples, or using a listening tool that's meant for top-line volumetrics. But Audiense simplifies much of this process, visualizing the user network and providing many ways-in to understand the people who are driving a certain conversation.
When analysing a group of people, target audience or a target market, there are generally two layers to evaluate: demographics and psychographics. Different from traditional market research, social media data has the capability to provide insights into demographics and psychographics, allowing us to study connections between people, at scale. Now we are closer to the sociological analysis by understanding cultural dynamics, the interest patterns, and interconnections of large audiences.
This is how Pulsar's research director explained how he developed his research to reach this level of analysis:
While our full analysis covers all crypto conversation during the period, the audience portion of the analysis aims to spotlight the type of people who actively talk about crypto considerations, their investment outlook, and emotions. We set a higher standard (using more stringent Pulsar filters) for the audience analysis in order to have high confidence that we were analyzing a dataset of people truly interested in crypto, considering signals beyond simply mentioning cryptocurrency or Bitcoin. Once those conversations were identified using Pulsar, we exported the audience metadata and fed that into Audiense, which gave us a detailed view of the audience within a matter of hours.
The report shows 5 main segments identified by Audiense Insights, representing 80% of the cryptocurrency social audience: Pop Culture Techies, Crypto Geeks, Millennial Investors, Iconoclasts & Founders and News Junkies. These five clusters are connected to each other and present distinctive characteristics of each: why they are attracted to cryptography, who influences their way of thinking and how important cryptography is to them in relation to their more general interests.
Although I still have much to understand about bitcoin, other cryptocurrencies and its intricacies, insights that can be extracted based on social data are the ideal framework for me to continue learning about the subject.
Do you want to learn more about the most relevant audiences for your brand? Try Audiense Insights today, completely for free, and discover everything you do not know about them.