Pylon Metric
Customer Support
Repeat Contact Rate = Customers with Repeat Contacts / Total Customers Contacting Support × 100
Repeat Contact Rate measures the percentage of customers who reach out about the same or a closely related issue within a defined window after their initial conversation was resolved. It reveals incomplete resolutions, temporary workarounds, and systemic product issues that generate recurring support demand.
Full guide: definition, formula, and benchmarksPylonCustomer SupportRepeat Contact Rate
Repeat Contact Rate measures the percentage of customers who reach out about the same or a closely related issue within a defined window after their initial conversation was resolved. It reveals incomplete resolutions, temporary workarounds, and systemic product issues that generate recurring support demand.
How to calculate repeat contact rate
Why repeat contact rate matters for Pylon users
Repeat contacts are expensive and frustrating - they consume agent time on issues that should have been resolved, exhaust customer patience, and inflate volume metrics in misleading ways. A high repeat rate means the team is treating symptoms rather than curing diseases.
For Pylon teams, repeat contacts across different channels are particularly insidious. A customer who contacts via Slack, does not get a resolution, then tries email has effectively doubled the support cost while receiving a fragmented experience.
Understand and act on repeat contact rate with KPI Tree
Match customer and topic data from Pylon conversations in your warehouse to identify repeats. Model repeat contact rate in KPI Tree and link it to resolution time, customer effort score, and issue recurrence rate.
Assign RACI ownership to the quality assurance lead and use repeat data to identify the top recurring issues for root-cause resolution.
Get started with your Pylon data
MCPPull metrics from Pylon directly through the Model Context Protocol.
Connect your existing warehouse where Pylon 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 Pylon metrics
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 Pylon's support channels. It is captured via post-conversation surveys and strongly predicts customer loyalty - lower effort correlates with higher retention.
Issue Recurrence Rate
Customer SupportMetric Definition
Recurrence Rate = Recurring Issue Conversations / Total Conversations × 100
Issue Recurrence Rate measures how frequently the same issue categories reappear across different customers or accounts over time. Unlike repeat contact rate which measures per-customer repeats, recurrence rate identifies systemic problems affecting multiple customers that warrant permanent product or process fixes.
Average Resolution Time
Customer SupportMetric Definition
Resolution Time = Conversation Resolved Timestamp − Conversation Created Timestamp
Resolution Time measures the total elapsed time from when a customer opens a conversation across any Pylon channel to when it is marked as resolved. It encompasses first response time, investigation, back-and-forth exchanges, and any internal waiting periods. It is a primary indicator of support efficiency.
Customer Contact Frequency
Customer SupportMetric Definition
Contact Frequency = Total Conversations per Customer / Time Period
Customer Contact Frequency measures how often individual customers or accounts initiate support conversations over a given period. It identifies high-frequency contacts who may be experiencing chronic issues, as well as customers whose contact frequency is changing - a leading indicator of satisfaction shifts.
Explore repeat contact rate across integrations
All Pylon metrics
Account Health ScoreAgent Productivity ScoreAgent Specialisation AnalysisChannel Performance AnalysisConversation Handoff AnalysisConversation Sentiment AnalysisConversation Volume TrendsCross-Channel Journey AnalysisCustom Field UtilisationCustomer Contact FrequencyCustomer Effort ScoreCustomer Satisfaction ScoreEscalation RateFirst Response TimeIssue Category DistributionIssue Recurrence RateKnowledge Gap IdentificationMessage Response Time by PriorityPeak Hours AnalysisAverage Resolution TimeSupport Cost per ContactTag Usage PatternsTeam Workload DistributionEmpower your team to understand and act on Pylon data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
