Pylon Metric
Customer Support
Account Health Score is a composite metric that evaluates the support health of each customer account by weighting conversation volume trends, sentiment patterns, resolution times, and escalation frequency. It provides an early warning system for accounts whose support experience is deteriorating and may be at risk of churn.
PylonCustomer SupportAccount Health Score
Account Health Score is a composite metric that evaluates the support health of each customer account by weighting conversation volume trends, sentiment patterns, resolution times, and escalation frequency. It provides an early warning system for accounts whose support experience is deteriorating and may be at risk of churn.
Why account health score matters for Pylon users
Churn rarely happens overnight - it is preceded by a pattern of rising support friction, unresolved issues, and declining satisfaction. An account health score surfaces these signals before the customer decides to leave, giving customer success teams time to intervene.
For Pylon teams managing B2B support across channels, account-level health scores connect support data to revenue outcomes. They enable prioritisation of accounts that need attention and provide evidence for executive conversations about customer risk.
Understand and act on account health score with KPI Tree
Combine conversation, sentiment, and resolution data from Pylon with account metadata in your warehouse. Build a weighted health score in KPI Tree and link it to customer satisfaction and escalation rate in your metric tree.
Assign RACI ownership to customer success managers and configure alerts when health scores drop below threshold, triggering proactive outreach.
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.
Escalation Rate
Customer SupportMetric Definition
Escalation Rate = Escalated Conversations / Total Conversations × 100
Escalation Rate measures the percentage of support conversations in Pylon that are escalated from first-line agents to senior specialists, managers, or engineering teams. High escalation rates indicate gaps in first-tier training, documentation, or tooling that prevent frontline resolution.
Conversation Sentiment Analysis
Customer SupportMetric Definition
Conversation Sentiment Analysis applies natural language processing to Pylon conversation messages to classify customer sentiment as positive, neutral, or negative throughout the interaction. It tracks both the starting sentiment and the trajectory - whether the conversation improved or deteriorated - providing insight beyond end-of-conversation surveys.
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.
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.
Explore account health score across integrations
All Pylon metrics
Agent 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 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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