Intercom Metric
Customer Support
Abandonment Rate = Abandoned Conversations / Total Conversations × 100
Conversation Abandonment Rate measures the percentage of support conversations where the customer stops responding before the issue is resolved. It indicates friction, frustration, or perceived futility in the support experience. High abandonment often correlates with long wait times or unhelpful initial responses.
IntercomCustomer SupportConversation Abandonment Rate
Conversation Abandonment Rate measures the percentage of support conversations where the customer stops responding before the issue is resolved. It indicates friction, frustration, or perceived futility in the support experience. High abandonment often correlates with long wait times or unhelpful initial responses.
How to calculate conversation abandonment rate
Why conversation abandonment rate matters for Intercom users
An abandoned conversation is not a resolved conversation - the customer still has a problem, they have just given up trying to get help. This silent dissatisfaction is more dangerous than vocal complaints because it is invisible without measurement.
For Intercom teams, abandonment rate reveals whether initial responses are meeting expectations, whether wait times are driving customers away, and whether bot flows are creating dead ends. Each abandoned conversation is a missed opportunity to build loyalty.
Understand and act on conversation abandonment rate with KPI Tree
Identify conversations with no customer response after the last agent message in your warehouse and compute abandonment rate in KPI Tree. Link it to first response time and customer effort score in your metric tree.
Assign RACI ownership to the support operations lead and set threshold alerts when abandonment exceeds your target, triggering investigation into root causes.
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.
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Related Intercom metrics
First Response Time
Customer SupportMetric Definition
First Response Time = First Agent Reply Timestamp − Conversation Created Timestamp
First Response Time (FRT) measures the elapsed time from when a customer initiates a conversation to when they receive the first human reply from a support agent. It is one of the most impactful support metrics because speed of initial acknowledgement strongly influences customer perception of the entire interaction.
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.
Conversation Resolution Rate
Customer SupportMetric Definition
Resolution Rate = Conversations Resolved (Not Re-opened) / Total Conversations × 100
Conversation Resolution Rate measures the percentage of support conversations that are closed and remain closed - without being re-opened by the customer within a defined window. It distinguishes genuine resolutions from premature closures that leave the customer's issue unaddressed.
Customer Satisfaction Score
Customer SupportMetric Definition
CSAT = Positive Ratings / Total Ratings × 100
Customer Satisfaction Score (CSAT) measures the percentage of customers who rate their support experience positively after an Intercom conversation. It is the most widely used indicator of support quality and directly reflects whether agents are meeting customer expectations.
All Intercom metrics
Agent Performance AnalysisAgent Utilisation RateArticle Effectiveness ScoreCompany Support TrendsConversation 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
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