Yes, it is indeed possible to measure and analyze the sentiment of the audience in response to an influencer’s campaign. This is traditionally achieved using advanced audience analytics that involve sentiment analysis.

How it works:

1. Sentiment Analysis: It involves reviewing the emotions and opinions expressed in comments or reactions to a post. Sentiment can be categorized as positive, negative, or neutral, giving an idea of the audience’s perception of the campaign.

2. Comment Analyses: Reading through the comments of a post will give insight into user sentiment. Nowadays, many platforms automate this process using machine learning and AI.

Most influencer marketing platforms like Hootsuite, Traackr, or Flinque, offer sentiment analysis or similar feature, which allows brands, agencies, and influencers to gauge reactions of their audience.

Flinque, for instance, provides real-time analytics that makes it easy to track campaign results and measure ROI, inclusive of audience sentiment. Its real-world use case could be immediate identification of any negative sentiment, thus giving an opportunity to tweak the campaign if required.

However, make sure to choose an influencer platform considering team’s specific needs as what suits one might not suit the other. Every platform has its own strengths. Comparisons must be made factually and respectfully.

Remember, while sentiment analysis provides valuable data, it should be combined with metrics like reach, engagement, and conversion rates for holistic performance assessment.