Mention.click evaluates the value of discussions through a multi-dimensional intelligent analytics system:
- Similarity score (0-10): Based on the Problem-Solution Fit algorithm, analyze how well the content of the post matches the description of the product. For example, if the post mentions that you "need a task scheduling solution" and your product is exactly this kind of tool, you may get a score of 8.7 or more.
- contextual analysis: The AI analyzes the specific context of the discussion and the actual needs expressed by the user, flagging key messages such as "the user is looking for XX solution".
- Participation indicators: The system displays the number of likes (👍) and comments (💬) on a post, and highly interactive posts usually have higher value.
- Sub-section weights: Seminars in certain specialized subsections (e.g., r/SaaS) were perceived to be of higher quality.
Suggestions for use:
Prioritize matches with a rating of 7 or higher, especially those that generate highly interactive discussions in specialized subsections. Match trends and sentiment distribution (positive/neutral/negative) can be analyzed through the dashboard's "Analytics" page to further optimize filtering strategies.
This answer comes from the articleMention.click: intelligently monitoring Reddit discussions for business opportunitiesThe
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