First Response Time
First Response Time (FRT) measures the elapsed time from when a customer initiates a conversation to when they receive the first human reply from a support agent. It is one of the most impactful support metrics because speed of initial acknowledgement strongly influences customer perception of the entire interaction.
Intercom metric
First Response Time = First Agent Reply Timestamp − Conversation Created Timestamp
First Response Time (FRT) measures the elapsed time from when a customer initiates a conversation to when they receive the first human reply from a support agent. It is one of the most impactful support metrics because speed of initial acknowledgement strongly influences customer perception of the entire interaction.
Full guide: definition, formula, and benchmarksHow to calculate First Response Time
First Response Time = First Agent Reply Timestamp − Conversation Created Timestamp
Why First Response Time matters for Intercom users
The first response sets the tone for the entire support experience. Even if resolution takes time, a fast acknowledgement tells the customer they have been heard and their issue is being addressed. Slow first responses amplify frustration and increase abandonment.
For Intercom teams, FRT is influenced by staffing levels, routing rules, and bot configuration. Tracking it by channel, time of day, and team reveals specific bottlenecks that can be addressed through scheduling adjustments or automation.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on First Response Time with KPI Tree
Sync conversation timeline data from Intercom into your warehouse and compute FRT in KPI Tree. Position it as a key input to CSAT and conversation abandonment rate in your metric tree.
Assign RACI ownership to team leads with SLA targets by channel and priority, and configure alerts when FRT exceeds thresholds during peak hours.
Get started with your Intercom data
Pull 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 Ready to add to your trees.
Average 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 metric
Conversation Abandonment Rate
Customer SupportAbandonment 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.
View metric
Customer Satisfaction Score
Customer SupportCSAT = 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.
View metric
Agent Performance Analysis
Customer SupportAgent Performance Analysis evaluates individual support agents across multiple dimensions including response time, resolution rate, customer satisfaction scores, and conversation volume handled. It provides a balanced scorecard that avoids over-indexing on speed at the expense of quality.
View metricExplore First Response Time across integrations
All Intercom metrics
Empower your team to understand and act on Intercom data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.