Kommon Poll Metrics - Core Metrics Guide

Understand the core Kommon Poll metric groups used across dashboard tiles, charts, filters, reports, and exports.

Kommon Poll metrics help you read the size, spread, impact, and emotional direction of a conversation. Use them together rather than treating any single number as the full story.

1. Mentions

Mentions count how many matching records Kommon Poll found for the selected query, date range, and filters.

Mentions can include posts, comments, articles, reviews, forum content, videos, or other supported source records.

Use Mention Count to answer:

• How much conversation exists?
• Did volume increase or decrease?
• Which campaign, platform, topic, or issue drove the most activity?
• Is there enough data to support a report?

How to use it:

1. Check total mentions in Overview.
2. Review mention count trend charts.
3. Change aggregation with 1D, 1W, 1M, 1Q, or 1Y where available.
4. Open the Mentions tab during spikes.
5. Filter by source, topic, hashtag, or sentiment to find what caused the movement.

High mention count does not always mean high impact. Compare it with reach, influence, and interactions.

2. Influence

Influence represents the estimated strength or authority of the sources contributing to the conversation.

Higher influence can come from:

• Large or authoritative accounts.
• Strong publishers or domains.
• High-impact creators.
• Sources that tend to drive conversation.

Use Influence to answer:

• Are important voices talking, or mostly low-impact accounts?
• Which authors or sources deserve review?
• Did a spike come from influential sources?
• Which competitor has stronger voices discussing them?

How to use it:

1. Review Influence Score in Overview.
2. Use influence trend charts to identify movement over time.
3. Sort Mentions by influence.
4. Visit original posts for high-influence examples.
5. Add important examples to a report.

Influence is a prioritization signal. Always check the actual mention before escalating.

3. Reach

Reach estimates how many people could potentially see the collected mentions.

Use Reach to answer:

• How far could the conversation spread?
• Was a spike broad or driven by a few visible posts?
• Which platform or source contributed the most exposure?
• Which competitor gained the most visibility?

How to use it:

1. Review Social Reach in Overview.
2. Compare reach trends against mention count.
3. Filter by reach range when looking for high-impact posts.
4. Sort or inspect mentions with high reach.
5. Check whether high-reach mentions are positive, neutral, or negative.

Reach is potential exposure, not guaranteed views. Use it with engagement and sentiment.

4. Interactions

Interactions measure audience engagement with collected content.

Depending on the source, interactions can include:

• Likes.
• Reactions.
• Comments.
• Shares.
• Replies.
• Clicks or other engagement fields where available.

Use Interactions to answer:

• What content did people react to?
• Did the audience engage with positive or negative content?
• Which post types or CTAs created action?
• Which competitor content generated the strongest response?

How to use it:

1. Review Social Interactions in Overview.
2. Compare interactions with mention count and reach.
3. Open top engagement mentions.
4. Review post type, CTA type, platform, author, and hashtag charts.
5. Add strong examples to reports.

A post can have high reach but low interactions. That usually means it was visible but not highly engaging.

5. Polarity

Polarity measures the emotional direction of text, generally from negative to positive.

Use Polarity to answer:

• Is the conversation leaning negative, neutral, or positive?
• Did emotional tone shift during a campaign or incident?
• Which platform or audience segment is more negative?
• Are key mentions consistent with the dashboard sentiment?

How to use it:

1. Review polarity charts and sentiment charts together.
2. Filter to negative or positive mentions.
3. Open examples and check whether the classification is reasonable.
4. Manually correct sentiment on important mention cards where controls are available.

Polarity can be affected by sarcasm, slang, mixed language, and context. Verify important examples manually.

6. Sentiment

Sentiment summarizes the mood or attitude of mentions, commonly grouped as Positive, Neutral, or Negative.

Use Sentiment to answer:

• How favorable is the conversation?
• What portion of mentions are negative?
• Did sentiment change after an event?
• Which topics, sources, or authors are driving negative or positive movement?

How to use it:

1. Open Sentiment Analysis.
2. Review overall sentiment distribution.
3. Review sentiment history charts.
4. Filter by sentiment.
5. Inspect mention examples.
6. Ask Kommon Poll AI to summarize the filtered sentiment context.

Sentiment is strongest when paired with volume, reach, and examples. A small number of negative mentions may matter if they have high reach or come from influential sources.

7. How Metrics Work Together

8. Reporting With Metrics

When writing a report, avoid saying only that a number went up or down.

Use this structure:

1. Metric change: what moved?
2. Timeframe: when did it move?
3. Segment: where did it happen?
4. Cause: which topics, platforms, authors, or mentions explain it?
5. Evidence: which mention examples prove the point?
6. Action: what should the team do?

This turns dashboard metrics into business decisions.