IntercomCustomer SupportRepeat Contact Rate
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.
Intercom metric
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.
Full guide: definition, formula, and benchmarksHow to calculate Repeat Contact Rate
Repeat Contact Rate = Customers with Repeat Contacts / Total Customers Contacting Support × 100
Why Repeat Contact Rate matters for Intercom users
Repeat contacts are the most expensive kind of support - they consume agent time on issues that should have been resolved, frustrate customers who expected a fix, and inflate volume metrics in misleading ways.
For Intercom teams, a high repeat contact rate signals that agents may be closing conversations prematurely, that solutions are temporary rather than permanent, or that underlying product issues need escalation to engineering. Reducing repeats is one of the highest-leverage improvements a support team can make.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Repeat Contact Rate with KPI Tree
Identify repeat contacts by matching customer and topic data from Intercom in your warehouse. Model repeat contact rate in KPI Tree and link it to conversation resolution rate and customer effort score.
Assign RACI ownership to quality assurance leads and use repeat contact data to identify the top recurring issues for root-cause resolution with product teams.
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Related Intercom metrics Ready to add to your trees.
Conversation Resolution Rate
Customer SupportResolution 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.
View metricCustomer Effort Score
Customer SupportCES = 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.
View metricAverage Resolution Time
Customer SupportResolution Time = Conversation Resolved Timestamp − Conversation Created Timestamp
Resolution Time measures the total elapsed time from when a customer opens a conversation in Intercom to when it is marked as resolved. It encompasses first response time, back-and-forth exchanges, internal investigation, and any waiting periods. It is a primary indicator of support efficiency and customer experience.
View metricSupport Ticket Escalation Rate
Customer SupportEscalation Rate = Escalated Conversations / Total Conversations × 100
Support Ticket Escalation Rate measures the percentage of conversations that require escalation from first-line agents to senior specialists, managers, or other departments. High escalation rates indicate gaps in first-tier training, documentation, or tooling that prevent frontline resolution.
View metricExplore Repeat Contact Rate across integrations
All Intercom metrics
Agent Performance AnalysisAgent Utilisation RateArticle Effectiveness ScoreCompany 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 EffectivenessAverage Resolution TimeSelf-Service Success RateSupport Cost per ConversationSupport Ticket Escalation RateTag Usage AnalysisTeam Workload DistributionResolution TimeEmpower your team to understand and act on Intercom data
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