Intercom Metric
Customer Support
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.
Full guide: definition, formula, and benchmarksIntercomCustomer SupportCustomer Effort Score
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.
How to calculate customer effort score
Why customer effort score matters for Intercom users
Research consistently shows that reducing customer effort is more predictive of loyalty than delighting customers. Customers do not want a magical support experience - they want their problem solved quickly and painlessly.
For Intercom teams, CES reveals friction points in the support journey that CSAT alone may miss. A customer might rate satisfaction highly because the agent was friendly, while still finding the overall process unnecessarily effortful. CES captures this distinction.
Understand and act on customer effort score with KPI Tree
Collect CES survey responses from Intercom and sync them to your warehouse. Model CES in KPI Tree and link it to conversation resolution rate, self-service success rate, and repeat contact rate.
Assign RACI ownership to the support experience lead and use CES data to prioritise friction-reduction initiatives across your support channels.
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
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.
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 Abandonment Rate
Customer SupportMetric Definition
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.
Repeat Contact Rate
Customer SupportMetric Definition
Repeat Contact Rate = Customers with Repeat Contacts / Total Customers Contacting Support × 100
Repeat Contact Rate measures the percentage of customers who contact support about the same or a closely related issue within a defined window after their initial conversation was closed. It reveals incomplete resolutions, workarounds masquerading as fixes, and systemic product issues that generate recurring support demand.
Explore customer effort score across integrations
All Intercom metrics
Agent Performance AnalysisAgent Utilisation RateArticle Effectiveness ScoreCompany Support TrendsConversation Abandonment RateConversation Channel AnalysisConversation Funnel AnalysisConversation Resolution RateConversation VolumeCustomer 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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