Mention counts
Measure how often a brand, topic, campaign, or competitor is being discussed.
Statistical Analysis
Quantify what is happening across public conversation.
Kommon Poll helps teams measure mention volume, reach proxies, author activity, platform distribution, time-based change, competitor comparisons, and statistical patterns behind online conversation.
Kommon Poll intelligence view
Live signal scan
MentionsVolume by period
ShareCompetitive view
SignalsTrends and spikes
SourcesChannel mix
SignalMention and reach metrics
SignalTime-series trend views
SignalCompetitor comparisons
SignalAuthor and platform analysis
Why it matters
Numbers are useful when they explain movement, not just activity.
Raw counts can be misleading unless they are connected to time, source, sentiment, competitor context, and audience behaviour. A spike on one platform may mean something different from a steady cross-channel increase.
Kommon Poll structures statistical insights so teams can see what changed, how large the movement was, where it came from, and whether it matters. This helps turn dashboards into evidence for decisions.
The page is designed for teams that need defensible reporting: marketers tracking performance, PR teams monitoring risk, agencies reporting to clients, and leaders reviewing brand health.
Mention counts
Measure how often a brand, topic, campaign, or competitor is being discussed.
Reach-oriented metrics
Use available engagement and source signals to estimate visibility and conversation impact.
Trends over time
Track daily, weekly, monthly, or campaign-period changes in conversation volume.
Capabilities
What your team can do with Kommon Poll.
Each workflow combines monitoring, filtering, AI interpretation, and reporting so the page is useful beyond a simple feature description.
Reach-oriented metrics
Use available engagement and source signals to estimate visibility and conversation impact.
Trends over time
Track daily, weekly, monthly, or campaign-period changes in conversation volume.
Competitor comparisons
Benchmark your activity against competitors using share of voice and related indicators.
Omni-channel analysis
Understand which platforms contribute most to the conversation and how patterns differ by source.
Author analysis
Identify recurring authors, influential voices, and contributors driving discussion.
Use cases
Practical ways to apply this workflow.
Use these examples as starting points for configuring searches, alerts, dashboards, and reports around the outcomes your team needs.
Workflow
A clearer path from public data to action.
Kommon Poll is designed to make public conversation easier to operationalize: define the scope, collect the signal, interpret the pattern, and share what matters.
01
Choose the metric question
Define whether you are measuring volume, growth, share, source mix, author activity, or impact.
02
Segment the data
Break down results by time, platform, competitor, sentiment, campaign, or topic.
03
Interpret the pattern
Look for spikes, dips, recurring cycles, outliers, and source-level differences.
04
Report the implication
Explain what the numbers mean and what the team should do next.
Common questions
What teams usually ask about statistical insights.
Why not only use mention count?
Mention count is useful, but context such as source, sentiment, author, and competitor comparison makes it more meaningful.
Can statistics be exported into reports?
Yes. Statistical summaries can support recurring reports, executive updates, and campaign reviews.
Can I compare different time periods?
Yes. Period comparisons help identify whether movement is unusual or part of a normal pattern.
Related workflows
Explore more ways to use Kommon Poll.
Connect this page with adjacent workflows so users can understand the broader value of public conversation intelligence.
Get started
Make your reporting more evidence-led.
Use Kommon Poll to measure, compare, and explain the patterns behind public conversation.