🎯Influencer detection

Detect influencers online using Visibrain

There are different ways to detect influencers on Visibrain: - By looking at the accounts that have been active on a subject, you can try and identify experts on a subject or just very passionate and influential accounts. Rank users by number of followers, generated engagement, number of posts, identify verified accounts of filter users by their bios. - Follow an influencer panel by using their bios as a filter (only on Twitter for now). - By analysing an influencer mapping based on their interactions (Influencer Mapping). - By analysing an influencer mapping based on their followers.

Define influence

Before starting your research, you will need to define what type of influencer you're looking for, and what type of influence metric you want to concentrate on: - Number of followers, fans, subscribers of an account, page, channel ... - Verified accounts, pages, channels - Generated engagement (retweets, replies, quotes, reactions, likes, views...) - Number of published posts

With Visibrain, you can choose or combine any of these metrics to define the type of influence you're looking for.

Data analysis

Detect influencers with the Users/Demographics features of Visibrain.

Go to the Users / Pages / Channels tabs in your monitoring Topics, here you will access the lists of accounts, pages or channels that have taken part in your conversation. You can rank followers by different metrics:

Audience (number of followers / fans / subscribers):

Generated engagement (retweets, likes, reactions ...):

Number of published posts on the subject on the analysed period:

By combining these different ranking options with the Filters you can identify and focus on specific communities, or type of accounts you want to follow. These communities can be defined by data listed in the bios (verified accounts, jobs, interests, companies, localisation, number of followers ...):

Topic creation

You can choose to create a new monitoring Topic to detect influencers: - Sectorial monitoring, if you want to detect influencers on any given sectorial analysis, for example: Detect influencer in the housing sector - Event monitoring if you want to identify influent accounts on an event, example: Detect top influencers on an event to re-invite them to another

You can also choose to identify a specific community, list of accounts (only on Twitter for now). By using specific Topic Operators, you can create complex queries to identify precise communities or type of influencers. The "bio:" operator will enable you to research influencers by tapping into their Twitter bios as a base of your query.

For example: Identify top journalists

Some of these Topic Operators cannot search historical data, you will only be able to monitor in real time.

You will even be able to combine multiple research queries:

All of these different influencer detection methods will enable to you to analyse different subjects / type of influencers / content creation and so on. You can also choose to go further and analyse interactions between influencers by creating a infuencer mapping. Get in touch with you account manager or go check out our guide on influencer mapping.