Intercom Metric
Customer Support
Article Effectiveness Score measures how successfully help centre articles resolve customer queries without requiring further human support. It considers article views, positive and negative reactions, and whether customers who view an article subsequently open a conversation. Effective articles deflect tickets and empower self-service.
IntercomCustomer SupportArticle Effectiveness Score
Article Effectiveness Score measures how successfully help centre articles resolve customer queries without requiring further human support. It considers article views, positive and negative reactions, and whether customers who view an article subsequently open a conversation. Effective articles deflect tickets and empower self-service.
Why article effectiveness score matters for Intercom users
Every effective article is a 24/7 support agent that costs nothing to scale. When articles fail to answer questions, they generate more tickets rather than fewer, negating the investment in content creation.
For Intercom teams, article effectiveness data reveals which content needs rewriting, which topics lack coverage, and which articles are successfully deflecting tickets. This feedback loop is essential for building a help centre that genuinely reduces support load.
Understand and act on article effectiveness score with KPI Tree
Sync Intercom article view and reaction data into your warehouse and compute effectiveness scores in KPI Tree. Link them to self-service success rate and help centre article views in your metric tree.
Assign RACI ownership to the knowledge management team and prioritise article improvements based on high-traffic, low-effectiveness combinations.
Get started with your Intercom data
MCPPull metrics from Intercom directly through the Model Context Protocol.
Connect your existing warehouse where Intercom data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Related Intercom metrics
Help Centre Article Views
Customer SupportMetric Definition
Article Views = Count of Page Views per Article in Period
Help Centre Article Views measures the number of times each article in your Intercom help centre is viewed by customers. It reveals which topics customers most frequently seek help with and which articles are discoverable. Pairing view data with effectiveness scores identifies high-traffic articles that need improvement.
Self-Service Success Rate
Customer SupportMetric Definition
Self-Service Success Rate = Self-Service Resolutions / Total Support Interactions × 100
Self-Service Success Rate measures the percentage of customers who find a resolution through help centre articles, chatbot flows, or product tours without needing to speak to a human agent. It is the ultimate measure of whether self-service investment is paying off and is a key driver of support scalability.
Conversation Volume
Customer SupportMetric Definition
Conversation Volume = Count of New Conversations in Period
Conversation Volume measures the total number of new support conversations initiated within a given period. It is the foundational capacity metric for support operations, driving staffing decisions, budget planning, and automation investment. Sudden volume changes often correlate with product releases, incidents, or seasonal patterns.
Customer Effort Score
Customer SupportMetric Definition
CES = Sum of Effort Ratings / Total Responses
Customer Effort Score (CES) measures how much effort a customer must expend to get their issue resolved through Intercom. It is typically captured via a post-conversation survey asking customers to rate the ease of their experience. Lower effort strongly correlates with higher retention and loyalty.
All Intercom metrics
Agent Performance AnalysisAgent Utilisation RateCompany Support TrendsConversation Abandonment RateConversation Channel AnalysisConversation Funnel AnalysisConversation Resolution RateConversation VolumeCustomer Effort ScoreCustomer Journey Support AnalysisCustomer Satisfaction ScoreCustomer Segment Support AnalysisFirst Response TimeHelp Centre Article ViewsMessage Sentiment AnalysisPeak Support Hours AnalysisProactive Support EffectivenessRepeat Contact RateAverage Resolution TimeSelf-Service Success RateSupport Cost per ConversationSupport Ticket Escalation RateTag Usage AnalysisTeam Workload DistributionEmpower your team to understand and act on Intercom data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
