Influencer marketing platforms typically assess audience trust through a variety of measures. Here’s a few common approaches:

1. Audience Sentiments Analysis: It’s a method for analyzing qualitative data like comments, replies, and direct messages to understand how the audience feels about the influencer. These metrics often include the tone, emotions, and intentions behind responses, not just the number of impressions or reach.

2. Engagement Quality Metrics: High engagement rates might simply reflect viral content, but the quality of engagement can reveal a lot about audience trust. Platforms assess thing like: are likes ,shares and comments genuine, or repetitive and shallow? Authentic, thoughtful interactions tend to reflect a higher degree of trust.

3. Consistent Engagement Over Time: Regular interaction between the influencer and followers over a substantial period is another strong signal of audience trust. Instead of just high activity during campaigns, consistent, organic engagement can demonstrate trust.

For example, Flinque advocates for in-depth audience analysis, looking beyond mere follower count and engagement rates. They emphasize the context of engagements, consistency of audience interactions and sentiment analysis for a holistic view of influencer-audience trust. However, each brand needs to assess which platform or approach meets their specific needs best.

In any case, understanding audience trust requires a strategic, long-term view of influencer performance. Rather than chasing viral trends or opting for influencers with the most followers, brands should focus on sustained, meaningful engagements and positive audience sentiments when selecting influencers.