Introducing Kolsquare’s new sentiment analysis feature: understand how people really feel about your campaigns

In influencer marketing, tracking likes and comments is just the tip of the iceberg. But while these metrics are easy to measure, they often fail to reflect the true impact of your campaign. In today’s increasingly competitive environment, marketers are looking for more and deeper insights to inform their strategies. They want to know how audiences really feel about a brand, product, campaign, or content. Which is where Kolsquare’s latest feature comes into play: sentiment analysis.

The problem: engagement metrics can’t explain emotion

For many marketers, the main goal is to understand the emotional response to their campaign. Does the audience love the content, or are they indifferent? Or worse, do they dislike it? But despite the abundance of comments on social media, this kind of insight is often buried in qualitative feedback, and sifting through it manually can be time-consuming and subjective. You need to go beyond engagement metrics to prove campaign ROI effectively and take actionable steps to improve performance.

At Kolsquare, we’ve learned that while engagement metrics like engagement volume and rate are helpful, they don’t capture the full picture. 

With sentiment analysis, we can now automatically categorise comments into positive, neutral, and negative categories, helping you see the emotional tone of your audience’s reactions.

Whether you’re tracking a single post or monitoring an entire campaign, this feature lets you know if your content resonates with the audience or if adjustments need to be made.

We know that marketers want more than just quantitative metrics; they need the "why" behind those numbers. By providing a deeper understanding of audience sentiment, we’re empowering you to make informed decisions faster and with greater confidence.

Here’s how it works: real-time insights with sentiment scoring

Our sentiment analysis tool operates seamlessly across Instagram Posts and Reels, YouTube, and TikTok. Here's how it works:

• Scoring system: Each comment is categorised into one of three sentiment buckets:
  
  • Negative: 0 – 34
    
  • Neutral: 35 – 64
    
  • Positive: 65 – 100
    
• Campaign-level analysis: At the campaign level, you can see an overall sentiment score based on a weighted average of the content’s sentiment.
  
• Clear data: We analyse comments (excluding replies) to calculate the sentiment distribution across your content, providing a percentage score: positive, neutral, negative.
  

For instance, if a post receives a high percentage of negative comments, you can pinpoint potential areas for improvement, adjust your messaging, and re-engage with your audience.

What does this mean for you? Sentiment analysis that strengthens your strategy

With Kolsquare’s sentiment analysis feature, you now have the power to:

• Understand audience reactions: Get a clear picture of how your audience feels about the content, helping you better align your messaging with their preferences.
  
• Refine campaigns in real-time: Make quicker, more informed adjustments to optimise content based on audience sentiment.
  
• Boost ROI: By linking sentiment with performance metrics like earned media value (EMV) and share of voice (SOV), you can justify campaign results with precision — great for reporting to finance teams and stakeholders.
  
• Prove impact: With this additional layer of insight, you can more effectively demonstrate how influencer campaigns are driving engagement, loyalty, and conversions.
• ‍Refresh functionality: Refresh sentiment data for specific posts, ensuring that the analysis stays up to date with new comments and engagement throughout the course of the campaign.