Action-Oriented Prompt
A question written for Kommon Poll AI that asks for a decision, priority, recommendation, or next step rather than only a description of the data.
A practical glossary for marketing, PR, customer experience, research, and leadership teams using Kommon Poll to turn public conversations into structured intelligence.
Jump to a letter or use search to filter the glossary instantly.
Use these definitions when interpreting Kommon Poll dashboards, setting up searches, reviewing alerts, using Kampanion Insight, or preparing reports for your team.
Try a broader search such as “sentiment”, “alert”, “report”, “competitor”, “query”, “tracking”, or “audience”.
A question written for Kommon Poll AI that asks for a decision, priority, recommendation, or next step rather than only a description of the data.
The number of unique websites or domains creating mentions in the selected dataset, useful for judging how widely a topic is spreading beyond social media.
A Query Builder action that creates a grouped block of rules under one logical operator, helping users build nested AND/OR search logic.
A Query Builder action that adds a new search condition, such as a phrase to include, exclude, or match in a specific part of a mention.
An official brand account connected through approved platform permissions so Kommon Poll can access richer account-level or page-level data where supported.
A dashboard filter that uses AI-powered refinement to reduce irrelevant data, improve context, and sharpen the quality of visible mentions.
A chart or dashboard action that asks Kommon Poll AI to explain key changes, important dates, spikes, or patterns in the current visualisation.
The text, summary, bullets, explanations, or recommendations generated by Kommon Poll AI based on the current project, filters, and available data.
An automatically generated explanation of the most important themes, shifts, risks, and opportunities found in a set of mentions or conversations.
A Boolean or keyword query automatically created by Kommon Poll from a brand, topic, or competitor input and selected query length.
A notification triggered when Kommon Poll detects something important, such as a mention spike, negative sentiment shift, or high-risk keyword.
A configurable condition that defines when an alert should be sent, such as when mention volume crosses a threshold or negative sentiment rises sharply.
The main visual workspace where Kommon Poll turns mentions into metrics, charts, trends, audience breakdowns, and AI-supported interpretation.
A Boolean operator that narrows a query by requiring every selected condition or rule to be true.
Tracking public reviews and ratings from app marketplaces such as Google Play and the Apple App Store to understand user issues, satisfaction, and product feedback.
The process of understanding who is participating in or responding to conversations, including location, language, interests, author type, and engagement behaviour.
Detected or inferred audience attributes such as country, language, gender, age range, education, job type, income tier, and account type.
The person, page, profile, publication, or account that created a mention, post, comment, article, or review.
Tracking the authors, creators, publishers, journalists, or accounts driving conversation volume, influence, sentiment, and engagement.
A sortable dashboard table that lists authors and their associated metrics, helping teams identify influential or frequently appearing contributors.
A scheduled or system-generated report that summarises selected dashboards, mentions, charts, and insights on a recurring basis.
A normal level of activity used as a comparison point when deciding whether a spike, drop, or change is unusual enough to trigger attention.
A comparison point used to evaluate a brand against competitors, previous time periods, category averages, or campaign goals.
Tracking public Bluesky posts and replies that match selected keywords or topics where keyword-based collection is supported.
A structured search expression that uses operators such as AND, OR, and NOT to include, combine, or exclude keywords and phrases.
A broad measure of how visible, trusted, discussed, and positively or negatively perceived a brand is across public conversations.
Structured insight about how a brand is discussed, perceived, compared, criticised, recommended, or ignored across public channels.
Any public post, comment, article, review, caption, or discussion that refers to a brand, product, campaign, competitor, or tracked keyword.
Tracking public conversation around a brand over time to understand volume, sentiment, reach, topics, complaints, praise, and reputation risks.
The overall emotional tone of conversations about a brand, usually summarised as positive, neutral, negative, or a weighted score.
An account classified as an organisation, company, publisher, institution, or brand rather than an individual person.
A filter or chart that separates organisational accounts from personal accounts to clarify who is driving a conversation.
Reviewing campaign performance by analysing hashtags, slogans, creative themes, mentions, engagement, reach, and sentiment during a campaign period.
Monitoring a specific campaign, launch, event, slogan, hashtag, influencer collaboration, or content theme to measure buzz and reaction.
A pattern or learning about a broader market category, such as which topics, product features, pain points, or competitors are becoming more prominent.
A source environment where conversation happens, such as a social platform, review site, news website, forum, blog, or messaging notification channel.
Actions available on charts, such as downloading, copying, viewing definitions, or asking Kommon Poll AI to explain the visual.
Saving a dashboard visual as an image for reports, presentations, internal documents, or offline analysis.
Tracking public comments attached to posts, videos, pages, profiles, groups, or review content where platform permissions allow collection.
A dashboard view designed to compare brands, competitors, campaigns, products, or topics across metrics such as volume, sentiment, reach, and share of voice.
Comparing competitor brands, products, campaigns, sentiment, reach, topics, mentions, and audience response to identify market risks and opportunities.
A recurring comparison of your brand against competitors using metrics such as volume SOV, reach SOV, engagement SOV, sentiment, and topic ownership.
A trend chart showing how many mentions each competitor receives across a selected time period.
A competitor chart that visualises sentiment, polarity, subjectivity, influence, or share using bubble positioning and size.
An entity operator that matches mentions containing the selected keyword or terms, typically without requiring the exact full phrase.
An entity operator that matches an exact phrase inside the selected mention field.
Marketing or communication ideas generated from recurring topics, sentiment patterns, customer pain points, competitor gaps, or positive themes.
A recurring idea, topic, message, complaint, praise point, or narrative found across mentions and useful for campaign planning or messaging.
Filtering that uses surrounding context, not just exact words, to improve the relevance and interpretation of mentions.
A chart action that copies a visual or insight to the clipboard so it can be pasted into a document, report, or slide deck.
A dashboard filter that limits visible mentions to selected detected countries or markets.
Using competitor history or category data to understand whether a reputational issue is isolated, widespread, temporary, or likely to escalate.
A listening setup focused on high-risk words, negative spikes, sensitive themes, incidents, misinformation, or issues that may damage reputation.
Customer Satisfaction Score, a customer experience metric often used alongside review monitoring, feedback analysis, and service issue tracking.
A structured spreadsheet-style export of selected mentions or metrics for deeper analysis, archiving, or reporting outside Kommon Poll.
A report assembled around selected metrics, charts, mentions, summaries, and stakeholder needs rather than a fixed standard template.
Insights from public comments, reviews, complaints, praise, and support-related conversations that reveal how customers experience a product or service.
A visual interface that brings together charts, metrics, filters, mentions, and summaries so teams can monitor performance and interpret signals.
The set of projects, filters, dates, sources, and collected mentions that Kommon Poll AI can use when generating an answer.
A platform, website, review listing, social profile, group, hashtag, channel, or other origin from which Kommon Poll collects public content.
A selected time period used to limit dashboards, mentions, reports, and AI analysis to a specific window.
The process of reducing duplicate, repeated, copied, or reposted content so dashboards better reflect real conversation rather than repeated noise.
Analysis of audience attributes such as country, language, age range, gender, education, job type, income tier, and account type where available.
Private one-to-one messages are not part of standard public social listening coverage and are generally outside Kommon Poll tracking unless a permitted integration explicitly supports a notification workflow.
An entity operator that excludes mentions containing selected keywords or terms.
An entity operator that excludes mentions containing a specific exact phrase.
A filter that limits mentions to specific websites or domains, useful for monitoring selected publishers, blogs, news sites, or source lists.
Moving from a high-level chart, spike, segment, or summary into the underlying mentions that explain what happened.
Organic media exposure gained through journalists, publishers, bloggers, creators, reviews, or public discussion rather than paid advertising.
Analysing emojis used in mentions to understand emotional cues, recurring reactions, campaign tone, or audience expression.
A chart showing how often specific emojis appear in the selected conversation set over a selected period.
A visualisation that displays frequently used emojis, usually sized by how often they appear in mentions.
The interaction a mention or post receives, including likes, comments, shares, reactions, replies, clicks, or similar platform-specific actions.
A performance metric that compares interactions against reach, impressions, audience size, or mention volume to show response intensity.
The share of total category or competitor-set engagement captured by a brand in a selected time period.
A source operator that searches the full mention, including title, body text, and available metadata.
A source operator that searches the mention content while excluding metadata such as system tags or classifications.
Identifying named entities in text, such as people, organisations, products, places, events, and brands.
A Query Builder setting that controls how a phrase or keyword should match, such as contains phrase, contains, does not contain phrase, or does not contain.
A word, phrase, source, author, platform, or domain intentionally removed from a query to reduce irrelevant mentions.
Moving selected mentions, charts, reports, or metrics out of Kommon Poll as files, links, images, spreadsheets, PDFs, or slides.
Monitoring public Facebook pages, groups, profiles, hashtags, tags, and comments where platform permissions and tracking setup allow collection.
A dashboard control that narrows data by date, platform, sentiment, author, domain, country, language, demographics, hashtag, topic, intent, reach, or priority.
A dashboard, mentions feed, or AI context after one or more filters have been applied.
Tracking public discussions on forums, communities, boards, or Reddit-like spaces where users share questions, complaints, recommendations, and experiences.
A complete archive of searches executed in a workspace, including personal, team, saved, and previously viewed searches where available.
A platform restriction where content visibility depends on country, region, or local access rules, which can limit what can be tracked.
Understanding where mentions, authors, or sentiment are concentrated by country, region, city, location, or market.
Tracking public Google Play app reviews and ratings to understand feature issues, user satisfaction, bugs, and product feedback.
Tracking public Google business reviews and ratings for locations, branches, or listings to monitor customer experience and reputation.
A platform-native label beginning with # that groups posts around a campaign, event, topic, trend, brand, or community conversation.
Analysing hashtag usage, frequency, sentiment, reach, influence, or campaign contribution across a selected dataset.
Tracking posts, captions, videos, or discussions connected to a selected hashtag where platform APIs and permissions allow collection.
Identifying hashtags that are growing, declining, becoming viral, or strongly associated with a brand, event, audience, or campaign.
Content published before a tracking link or keyword was added; standard tracking starts from setup and may not collect older data retroactively.
The Kommon Poll start area that lets users resume recent work, open searches, view search history, check usage, and navigate to core modules.
The process of finding new or fast-growing themes, issues, hashtags, or conversation areas before they become obvious in standard reports.
Tracking conversations around a broader market, sector, product category, or issue rather than only a single brand.
A metric group showing how powerful, authoritative, or impactful the collected mentions or authors are.
A measure of how impactful a mention or author may be, with higher scores usually linked to stronger profiles, pages, publishers, or creators.
An author, creator, public figure, page, or publisher whose content has enough audience or authority to shape reach, sentiment, or conversation direction.
Tracking creators, authors, pages, or public figures who are talking about a brand, competitor, campaign, or topic and measuring their influence.
A classification of creators or authors based on audience size, reach, authority, engagement, or influence level.
A chart control that explains the meaning of a metric, visualisation, or dashboard component.
Monitoring public Instagram profiles, hashtags, posts, captions, comments, and tags where platform permissions and tracking setup allow collection.
A connected system or platform that expands what Kommon Poll can collect, notify, report, or sync, such as social accounts, review sources, or WhatsApp alerts.
Classifying the likely purpose behind a mention, such as complaint, inquiry, appreciation, recommendation, comparison, purchase interest, or churn risk.
A metric group that counts engagement actions on social content, such as likes, comments, reactions, shares, replies, and clicks.
A group of related complaints, problems, service failures, or negative mentions that point to the same underlying customer issue.
The Kommon Poll AI assistant that helps summarise dashboards, explain spikes, compare brands, generate narratives, and turn data into practical insights.
A word cloud that highlights common phrases appearing in mentions, helping users spot repeated language, themes, or issues.
A word or phrase used in a search query to capture relevant mentions about a brand, product, campaign, competitor, topic, or issue.
A group of related keywords or phrases that point to a shared theme, issue, product area, or conversation pattern.
A platform where Kommon Poll relies primarily on keyword matching rather than URL-level tracking because platform rules do not allow full link-based coverage.
An alert that triggers when selected high-risk, high-interest, campaign, competitor, or product terms appear in the monitored data.
The AI layer inside Kommon Poll that answers questions, summarises dashboards, explains spikes, compares brands, and supports reports using your current data and filters.
A high-level dashboard card that displays a key metric such as mention count, reach, influence, social interactions, or sentiment.
Identifying the language used in a mention so teams can analyse multilingual conversations and filter by market or audience language.
A dashboard filter that limits mentions to selected detected languages, useful for multilingual and regional monitoring.
Monitoring public LinkedIn company page posts, selected public profile posts, and public comments where supported by platform rules.
A central workspace where teams can collect, enrich, analyse, report, and act on public conversations instead of checking platforms manually.
A Kommon Poll project that defines what to listen to, where to listen, and how to group the resulting data for dashboards, alerts, and reports.
Tracking reviews, ratings, and public feedback on location-based listings such as Google Reviews, hotels, restaurants, or business pages.
A search query built directly by the user using chosen keywords, variations, exclusions, groups, and Boolean operators rather than AI generation.
Insights about customers, competitors, categories, trends, pain points, messaging, and market shifts derived from public conversation data.
Tracking news, blogs, publishers, articles, journalists, and online coverage to understand how a brand or issue appears in the media landscape.
A single collected item, such as a post, comment, review, article, caption, forum reply, or public message that matches a search or tracking setup.
A card in the Mentions feed that shows a mention’s source, author, title, date, text, media, sentiment, engagement, priority, tags, and actions.
The total number of mentions detected for a selected project, query, topic, source, brand, or time period.
A live or paginated stream of collected mentions that lets users review individual posts, comments, reviews, or articles in detail.
A visualisation that shows where mentions are geographically concentrated across countries, regions, or locations.
A sudden increase in mention volume compared with a baseline or previous period, often indicating campaign momentum, breaking news, or a possible crisis.
A time-based graph showing how mention volume changes across a selected time frame.
A filter that separates content by type, such as posts, comments, articles, or reviews depending on the source.
A shareable display of selected mentions used to show examples, public conversation, customer feedback, or campaign reactions.
A core metric group measuring how many times a brand, keyword, competitor, campaign, or topic was mentioned.
A setting that controls how many mention cards or rows are displayed before pagination or loading more results.
Information attached to a mention, such as source, author, date, language, location, sentiment, tags, classifications, or system properties.
Tracking potentially false, misleading, or harmful claims that may affect brand trust, public safety, or reputation.
A recurring competitor report that compares volume SOV, reach SOV, engagement SOV, sentiment, major shifts, and notable events month over month.
Collecting and analysing mentions across multiple languages, scripts, local variants, transliterations, slang, and regional phrasing.
A chart or table that highlights detected people, organisations, places, events, products, or brands found inside mentions.
A filter that limits or segments mentions based on detected or inferred nationality attributes where available.
A sentiment label assigned to mentions that express dissatisfaction, anger, criticism, concern, frustration, or other unfavourable emotion.
A sudden increase in negative mentions or a negative sentiment percentage crossing a defined threshold.
Tracking online news sites, publishers, press coverage, and articles that mention a brand, competitor, campaign, industry, or issue.
The number of mentions collected from blogs, news sites, forums, reviews, websites, and other non-social sources.
Project-level settings that control whether alerts are sent, which channels are used, and which events or thresholds trigger notifications.
Net Promoter Score, a customer loyalty metric often considered alongside public feedback, reviews, sentiment, and customer experience signals.
A brand-owned profile, page, handle, or channel added to Kommon Poll so owned content can be separated from organic public conversation.
The practice of monitoring, protecting, improving, and responding to public perception across reviews, news, social posts, forums, and online discussion.
An action that expands a mention so users can inspect the complete text, metadata, source context, and available engagement details.
A Boolean operator that broadens a search by allowing any one of several terms or rules to match.
A chart showing the number or share of positive, neutral, and negative mentions in the selected dataset.
The dashboard area that summarises high-level KPIs such as mention count, influence score, social reach, social interactions, and trend graphs.
A brand-controlled account, page, profile, or channel whose posts, comments, and interactions may be tracked more deeply when linked or added correctly.
Content published on channels controlled by the brand, such as official pages, websites, social accounts, blogs, or customer communities.
Monitoring activity from a specific page, profile, group, channel, or listing rather than relying only on broad keyword search.
A navigation method that shows mentions or records page by page instead of loading every result at once.
Tracking public pins, boards, comments, and keyword-matching content on Pinterest where supported.
A chart or view that shows how mentions, reach, sentiment, engagement, or sources are distributed across platforms.
A chart showing how mentions or engagement are distributed across platforms for a brand, competitor set, or selected dataset.
The rules and access granted by external platforms that determine what Kommon Poll can collect, how often it can fetch data, and which metrics are available.
A sentiment metric that indicates the emotional direction of a mention, usually from negative through neutral to positive.
A geographic heatmap that shows where sentiment polarity is more positive or negative across locations or regions.
A sentiment label assigned to mentions that express satisfaction, praise, approval, appreciation, excitement, or favourable opinion.
A public social media item, update, article-like update, video post, caption, or publication collected as part of a listening project.
Tracking public relations signals such as news coverage, journalist mentions, press reaction, issue escalation, misinformation, and narrative shifts.
A competitor review done before a launch to identify rival topics, sentiment, weaknesses, customer pain points, and positioning opportunities.
A visible label on a mention card that flags an item as important, high-risk, urgent, or requiring review.
A filter that surfaces mentions assigned a priority level, often used for crisis alerts, complaints, or high-impact content.
A configured Kommon Poll workspace for a brand, competitor, campaign, topic, issue, industry, or market research goal.
A short explanation of what a project tracks, why it exists, and which team or workflow will use it.
The configuration stage where a user defines project details, query logic, platforms, official accounts, filters, and tracking settings.
A category, subject, or sub-area inside a project used to organise mentions and reporting around themes such as complaints, campaigns, or competitors.
A project classification such as brand monitoring, campaign, competitor, topic research, crisis monitoring, or reputation monitoring.
Publicly accessible discussion across social media, reviews, news, blogs, forums, and web pages that can be collected and analysed for insight.
Monitoring posts and public comments from a publicly visible profile where platform rules and permissions allow collection.
The search logic Kommon Poll uses to decide which mentions belong in a search, project, report, or dashboard view.
The Kommon Poll interface for building precise searches using rules, groups, source operators, entity operators, and Boolean logic.
A Quick Search option that controls how broad or detailed an AI-generated Boolean query should be, such as short, medium, or long.
A lightweight search workflow for testing brands, topics, competitors, or keyword ideas before creating a full listening project.
A social post format where a user shares another post with additional commentary, which can provide important context for reputation and sentiment analysis.
The estimated potential audience that could have seen the collected mentions, based on visibility, followers, source size, or platform reach data.
The share of total category or competitor-set reach captured by a brand in a selected time period.
Search cards that show recently run searches so users can reopen investigations without rebuilding the query.
Tracking public Reddit posts and comments in relevant public subreddits, subject to privacy and platform restrictions.
Reducing irrelevant, noisy, duplicate, spammy, or off-topic mentions so the dataset better reflects the conversation being studied.
A review that is no longer publicly available, which Kommon Poll may not be able to collect or display after removal.
Creating structured outputs from dashboards, charts, mentions, AI summaries, and commentary so teams can share findings with stakeholders.
The recurring time period used for a report, such as daily, weekly, monthly, campaign-based, or crisis-specific.
Insight about how reputation is changing, what is driving trust or criticism, and which issues may require response or escalation.
A table or feed control that determines how many records appear in one page of results.
Tracking public ratings and reviews from platforms such as Google Reviews, TripAdvisor, Trustpilot, Booking.com, Agoda, Expedia, Hotels.com, Google Play, or the App Store.
A source where customers publish ratings and feedback about businesses, apps, hotels, restaurants, services, products, or experiences.
A keyword or phrase associated with potential crisis, misinformation, customer harm, legal risk, safety issue, or reputational concern.
A reusable search saved in Kommon Poll so users or teams can reopen, rerun, or continue monitoring a known query.
A report configured to run automatically on a selected cadence and usually sent by email or made available to stakeholders.
A query execution that retrieves mentions matching selected keywords, rules, tracking links, platforms, and filters.
An input used to find terms, searches, mentions, authors, hashtags, or records inside a dashboard, history table, or mentions feed.
A control that limits visible records based on selected criteria such as keyword, source, sentiment, author, language, country, date, or topic.
A table or archive of previously executed searches, often showing title, creation date, last viewed time, saved status, and team context.
Project setup controls that combine official account tracking, platform settings, query configuration, and filters before data collection begins.
A core metric group that reflects the overall mood expressed in mentions, helping teams understand whether public opinion is favourable, neutral, or unfavourable.
The process of classifying mentions as positive, neutral, negative, or scored by emotional direction so teams can understand public reaction.
A score that indicates how confident the system is in a sentiment label or classification for a mention.
A visual breakdown of how many mentions are positive, neutral, or negative within a selected dataset.
A chart that shows polarity values, often including minimum, maximum, median, or trend information across the selected period.
A measure of how opinionated or subjective a mention is, helping separate factual content from personal reactions or commentary.
A chart showing subjectivity scores and trends across mentions or time periods.
A minimum or maximum sentiment setting used to trigger alerts when mood moves outside an acceptable range.
A link generated to share a dashboard, mention wall, report, or selected view with stakeholders where permissions allow access.
The proportion of conversation, reach, or engagement a brand captures compared with competitors or a category over a selected period.
A compact AI-generated query that focuses on the most essential brand or topic terms.
The total engagement received on social content mentioning a brand or topic, including likes, comments, reactions, shares, replies, and similar actions.
Securely connecting official brand accounts so Kommon Poll can access richer page, profile, interaction, or owned-channel data where platform rules allow it.
The practice of collecting, enriching, analysing, and acting on public conversations across social media, news, blogs, forums, reviews, and the web.
The number of mentions collected from social media platforms only, separate from blogs, news, forums, reviews, and other web sources.
The estimated potential audience exposed to social mentions, based on follower counts, visibility, and platform reach information.
The area where users connect official accounts, manage tracking links, configure social sources, and set up supported notification channels.
Controls in the Mentions feed that reorder mentions by time, influence, engagement, sentiment, or another priority metric.
A Query Builder setting that controls where the system looks for keywords, such as entire mention, metadata-excluded text, title, or text context.
A category of origin for mentions, such as social, non-social, news, blogs, forums, reviews, or tracking-link-based sources.
Reducing spam, irrelevant posts, low-quality content, duplicates, or noise that can distort dashboards and reports.
An alert sent when mention volume, negative sentiment, reach, engagement, or another monitored metric suddenly rises beyond the expected pattern.
A smaller theme or classification inside a project, used to organise mentions around complaints, campaigns, products, issues, competitors, or features.
A platform or source category Kommon Poll can collect from, monitor, or integrate with depending on plan, region, permissions, and public availability.
A manual or automatic label applied to mentions to classify them by issue, campaign, product, priority, workflow status, or theme.
A public post that tags an official account or profile, which may be trackable when the account is admin-linked and permissions allow it.
A saved search shared with a workspace or team so multiple users can open and monitor the same query.
A source operator that searches the main body text of a mention while excluding title and metadata fields.
Monitoring public TikTok accounts, profiles, hashtags, videos, captions, comments, and official account tags where platform rules allow collection.
A source operator or query option that searches only the title or headline of a mention rather than its full text.
Analysing the themes, issues, product attributes, entities, complaints, praise points, or narratives appearing across mentions.
Grouping related mentions into themes so teams can see recurring issues, campaign themes, product topics, or conversation patterns.
Finding emerging or recurring subjects in public conversations without needing to know every keyword in advance.
The specific kinds of public content, comments, reviews, posts, profiles, hashtags, and metrics Kommon Poll can collect for each supported platform.
A plan allocation used to monitor specific pages, profiles, hashtags, groups, channels, review listings, or other source links that require dedicated tracking.
Platform, privacy, API, permission, timing, or visibility constraints that affect what Kommon Poll can and cannot collect.
A URL or identifier added to Kommon Poll so it can monitor a specific public page, profile, group, hashtag, channel, app listing, or review page.
A specific source configured for ongoing monitoring, such as a page URL, group URL, hashtag, public channel, business listing, app page, or review page.
Identifying meaningful increases, decreases, spikes, recurring patterns, or emerging topics in mentions, sentiment, reach, or engagement.
A useful interpretation of a trend, such as what changed, why it matters, which source drove it, and what action a team should consider.
Tracking public Trustpilot business reviews to monitor customer feedback, reputation, satisfaction, and recurring issues.
The number of distinct authors, profiles, pages, accounts, or publishers contributing mentions in the selected dataset.
A manual or priority refresh of a search or report used when a team needs faster monitoring during a campaign, incident, or time-sensitive event.
The visible allocation showing how much data, search, tracking, or account usage remains within a workspace or plan.
A platform-specific identifier used to track certain profiles or accounts, especially where usernames alone are not sufficient.
Public content created by customers, users, creators, communities, or audiences rather than by the brand itself.
A hashtag that gains unusually high volume, reach, speed, engagement, or cross-platform visibility in a short time.
A mention that spreads unusually fast or receives high engagement, reach, shares, comments, or media attention.
Insights from customer feedback, reviews, complaints, praise, questions, and public comments that reveal what customers actually experience and need.
The share of total conversation volume captured by a brand compared with competitors or a market category.
Tracking publicly available web pages, articles, blogs, search results, forums, and online references for relevant brand or category mentions.
A notification delivered through WhatsApp for configured project updates such as daily summaries, weekly summaries, sentiment triggers, or important changes.
A Kommon Poll notification option that sends selected project alerts or summaries to a connected WhatsApp number.
A visualisation that displays frequently occurring words, phrases, hashtags, or emojis with size reflecting frequency or importance.
A repeatable process for moving from monitoring to interpretation and action, such as detect, review, assign, respond, report, and improve.
Tracking public posts, replies, quotes, and conversations on X, previously known as Twitter, for keywords, hashtags, competitors, and emerging trends.
An AI method that classifies text into categories without needing task-specific training examples for every new label, useful for flexible topic or intent analysis.
These concepts become most useful when they are connected to how teams monitor conversations, interpret signals, report findings, and act on insights.
Kommon Poll helps your team move from scattered mentions to clear summaries, alerts, dashboards, and reports built for faster decisions.