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Post-campaign analytics

NSS — Net Sentiment Score

We classify and score audience reactions to your placements — sentiment, categories, and the product insights hidden in the comments.

Net Sentiment Score · ad-post comments
NSS
+0
68%
Positive
21%
Neutral
11%
Negative
Top aspects mentioned
Product quality
Packaging
Price
Delivery

For what purpose

  • Measure the sentiment and tonal quality of audience reactions to advertising placements
  • Surface product insights, user complaints, and behavioural patterns from comment data
  • Applicable to comments under ad posts and to broader brand content on social networks

What you get

  • Automated collection of all posts via hashtags and brand mentions
  • Comment classification by category: brand, product, creative (ad), creator support, spam, other
  • Sentiment analysis: positive / negative / neutral tone for each comment
  • Identification of key aspects mentioned in positive or negative context: product quality, packaging, price, delivery, etc.
  • Extraction of product insights, user complaints, barriers, and usage scenarios
  • Trend identification: emerging topics and shifts in brand perception
  • Multilingual analysis with automatic translation — segmented by region and language

Additionally

  • NSS can be run on ad post comments specifically, or on broader brand content
  • Can be integrated into a custom dashboard for ongoing monitoring
Output

NSS report with sentiment breakdown, classified comment categories, key insight themes, and product signals.

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