Pylon 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 Pylon's support channels. It is captured via post-conversation surveys and strongly predicts customer loyalty - lower effort correlates with higher retention.
Full guide: definition, formula, and benchmarksPylonCustomer SupportCustomer Effort Score
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.
How to calculate customer effort score
Why customer effort score matters for Pylon users
Research consistently shows that reducing effort matters more than delighting customers. Customers do not want a spectacular support experience - they want their problem solved with minimal friction, repetition, and waiting.
For Pylon teams managing multi-channel support, CES reveals which channels and processes create the most friction. A customer forced to repeat their issue across channels or wait for internal handoffs experiences high effort regardless of the final outcome quality.
Understand and act on customer effort score with KPI Tree
Collect CES survey responses from Pylon and sync them to your warehouse. Model CES in KPI Tree and link it to resolution time, cross-channel journey analysis, and repeat contact rate.
Assign RACI ownership to the support experience lead and use CES data to prioritise friction-reduction initiatives across channels.
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 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 a Pylon conversation. It is the most widely used indicator of support quality and directly reflects whether agents are meeting customer expectations across all channels.
Cross-Channel Journey Analysis
Customer SupportMetric Definition
Cross-Channel Journey Analysis maps the paths customers take across support channels - starting in Slack, moving to email, and ending in a video call, for example. It measures the frequency of channel-switching, the reasons behind it, and the impact on resolution time and satisfaction.
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 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.
Conversation Handoff Analysis
Customer SupportMetric Definition
Conversation Handoff Analysis measures the frequency, reasons, and impact of conversation transfers between agents, teams, or channels within Pylon. It quantifies the additional resolution time and satisfaction impact caused by each handoff, identifying opportunities to reduce unnecessary transfers.
Explore customer effort score 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 Satisfaction ScoreEscalation RateFirst Response TimeIssue Category DistributionIssue Recurrence RateKnowledge Gap IdentificationMessage Response Time by PriorityPeak Hours AnalysisRepeat Contact RateAverage Resolution TimeSupport Cost per ContactTag Usage PatternsTeam Workload DistributionEmpower your team to understand and act on Pylon data
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