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Comments

AI-translated

Comments indicate how many users (and also how, and with what sentiment) responded to published content via a text or multimedia reply directly on the platform. Comment sentiment can also be measured, allowing their qualitative side to be assessed.

Channel/activity
Social media
Phase
Out-takes
Method
Combined
Category
Count-based
Categorical
Ratio-based

alternative names

  • replies

units

  • Count
  • Category
  • % (ratio)

Additions, clarifications, extended definition

Posting a comment requires more effort from the user than a reaction (likes, hearts etc.), which is why comments carry greater informational value.

Interpretation

This is a key engagement metric showing whether the content managed to provoke a response, an opinion or a discussion. Unlike passive reactions (likes, hearts etc.), comments represent an active form of participation and can provide valuable insight into how the audience actually perceives the brand or the content.

Watch out: limits and risks of distortion

  • Beyond the number of comments, we can also track their sentiment and categorise them in the same way as reaction types (positive, neutral, negative). But beware of context dependence – the same word can carry a positive or negative meaning depending on the circumstances.
  • Watch out for spam and automated comments – they can skew the results.
  • Platform differences – on some networks comments are public (YouTube), elsewhere partly hidden or restricted (Facebook groups, FB and IG Stories).

Where and how to measure

  • The native analytics tools each network offers, usually in the "insights" section.
  • The data can also be tracked via third-party tools, e.g. Emplifi, Brandwatch, Hootsuite etc.

Formulas

share of comments in total engagement = (number of comments / total number of interactions) × 100

positive comment ratio = ((number of positive comments / (number of positive comments + number of negative comments)) × 100

Example from practice

An Instagram influencer campaign triggered high user activity – the post received 2,800 comments, while the average for regular posts was around 150. This showed that involving the influencer in content creation led to a many times higher level of interaction, with the number of comments and their sentiment becoming direct indicators of the campaign's success.

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