Identify, understand, and activate the audiences that matter most to you. Audiense Insights empowers you to utilise social data to gain a deeper understanding of your most valuable audience segments, old and new, intelligently.
We are creating the most significant consumer panel in the world for understanding and engaging just the right people for your brand in the most relevant (and also in a compliant way)
Audience intelligence primarily focuses on who the audience are as people, what they care about, what interests them, who influences them, content they share, psychographics, how they define themselves, and the communities they are a part of online.
Social listening focuses on conversations and their content, hashtags used, keywords used, how a topic evolves over time, what’s trending. But it won’t tell you much about who is driving and engaging with the conversation.
Audience intelligence and social listening are different but together, they’re extremely powerful. That’s why Audiense integrates with most social listening platforms. Imagine you run a query on alternative milks, who is driving the conversation? Bakers? Nutritionists? Coffee lovers? With this information, you can start to define segments based on the influencers in the conversation.
We love that you’re interested in the future of Audiense! Our team is constantly innovating and working on the next steps in our roadmap. If you have any suggestions or feedback, let us know. If you’re an existing user, you can do this within the Audiense platform.
Yes! As long as the audience has an online presence, we can define them using criteria. Your curiosity is the limit.
The benefit of Audiense is that it allows you to understand audiences in a language agnostic, data-driven way. We look at network graph analysis (segmentation) and thereby explore the relevant interest graph (e.g. accounts they follow). So, our segmentation and graphs are not impacted by languages. However, for things like personality and conversational interests that we gather from IBM, the output will be limited to languages that IBM Watson can process.
We predominantly use Twitter data but we enrich our insight with Facebook data, as well as using our partnership with IBM Watson to deliver psychographics. There are data restrictions within the industry, and we remain compliant with them.
Segmentation happens when an audience is grouped together by unique characteristics and connections that are data-driven and unbiased. Whereas filtering is a data input method that is often used to further define an audience, or o select an audience post-insights, the results of which will provide a predetermined audience.