Question: A company has recently launched a new product and is curious about public sentiment. They've received a significant amount of social media comments about the product. Which of the following strategies would be the most effective way to better understand general public perception?
- Adding each comment into a spreadsheet to evaluate the sentiment
- Ignoring the comments as they don't provide substantial data
- Using an AI tool to analyze the sentiment of posts and comments
- Responding to each comment asking for clarification on sentiment
Explanation
AI sentiment analysis can process large volumes of comments faster than manual review. Marketing analytics helps convert customer interactions into usable signals about perception, satisfaction, and concerns. In Amazon DSP, audience and performance insights support better campaign planning when they are based on reliable data signals. Sentiment analysis can identify patterns across comments, making it useful for understanding broader public response to a new product.
Why the other options are incorrect
Spreadsheet review is incorrect because manual evaluation is slower and less scalable for a large volume of comments.
Ignoring comments is incorrect because social comments can contain useful signals about customer perception and product feedback.
Clarification requests is incorrect because asking every commenter individually is inefficient and may not produce a broad sentiment view.
Source for verification
https://advertising.amazon.com/library/guides/marketing-analytics
https://advertising.amazon.com/solutions/products/amazon-dsp
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