What are Customer Support Team metrics? Crafting the perfect Customer Support Team metrics can feel overwhelming, particularly when you're juggling daily responsibilities. That's why we've put together a collection of examples to spark your inspiration.
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Examples of Customer Support Team metrics and KPIs 1. First Call Resolution Rate Percentage of issues resolved on the first call without escalation
What good looks like for this metric: 70-80%
Ideas to improve this metric Provide comprehensive training for team members Implement a robust knowledge base Utilise remote access tools for rapid solutions Ensure clear communication during ticket handling Optimise ticket categorisation for swift allocations 2. Average Ticket Resolution Time Average time taken to resolve support tickets
What good looks like for this metric: Less than 24 hours
Ideas to improve this metric Enhance prioritisation of critical tickets Streamline internal workflows Employ ticketing software with automation features Offer frequent skill-improving sessions Regularly review ticket handoff processes 3. Customer Satisfaction Score Rating provided by customers after resolution
What good looks like for this metric: Above 90%
Ideas to improve this metric Solicit feedback through post-service surveys Provide personalised support where applicable Encourage proactive follow-ups with customers Analyse feedback data to identify improvement areas Reward team members demonstrating high satisfaction scores 4. Ticket Backlog Number of unresolved tickets over a specified time period
What good looks like for this metric: Less than 10% of total tickets
Ideas to improve this metric Regularly audit ticket queue for overdue items Implement weekly backlog reviews Balance team workload to prevent overloads Develop standard operating procedures for common issues Encourage team accountability for assigned tickets 5. Service Uptime Percentage of time the server environment is operational and available
What good looks like for this metric: 99.9%
Ideas to improve this metric Conduct regular system health checks Implement proactive monitoring systems Establish a thorough disaster recovery plan Schedule routine maintenance during off-peak hours Ensure redundancy for critical systems
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1. Customer Retention Rate The percentage of customers a company retains over a specific period, calculated by dividing the number of customers at the end of a period by the number at the beginning, minus new customers acquired during the period.
What good looks like for this metric: 70-85%
Ideas to improve this metric Enhance customer service and support Implement a customer feedback system Develop a loyalty rewards program Regularly update customers with relevant information Personalise communication and offers 2. Net Promoter Score (NPS) Measures customer loyalty by asking how likely they are to recommend the company to others on a scale of 0-10.
What good looks like for this metric: 30-70
Ideas to improve this metric Gather detailed feedback from detractors Address customer complaints promptly Enhance the customer experience Engage with promoters to boost referrals Regularly survey and track changes in scores 3. Customer Lifetime Value (CLV) The total revenue expected from a customer over the entire future relationship, calculated by multiplying the average purchase value by the purchase frequency and average customer lifespan.
What good looks like for this metric: $5,000 - $20,000
Ideas to improve this metric Increase average order value with upselling Improve repeat purchase rates Extend customer lifespan through engagement Refine targeting for profitable customers Optimise pricing strategy 4. Churn Rate The percentage of customers who stop using a company's products or services during a specific period.
What good looks like for this metric: 5-10%
Ideas to improve this metric Identify and analyse reasons for churn Enhance onboarding processes Increase engagement with targeted campaigns Offer special incentives to at-risk customers Provide proactive and personalised support 5. Customer Satisfaction Score (CSAT) A measure of customer satisfaction with a product or service, often determined through surveys where customers rate their satisfaction on a scale from 1 to 5.
What good looks like for this metric: 80-90%
Ideas to improve this metric Seek feedback regularly and act on it Train staff for better customer interactions Enhance product or service quality Implement a clear and efficient complaint resolution process Provide value-added services or products
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1. Request Resolution Time Time taken to resolve support requests from initial report to resolution
What good looks like for this metric: 2-4 hours
Ideas to improve this metric Prioritise requests based on urgency Implement automated alerts for escalations Conduct regular training sessions for support staff Use ticketing system efficiently Analyse past tickets for recurring issues 2. First Contact Resolution Rate Percentage of requests resolved during the first interaction with support staff
What good looks like for this metric: 70-80%
Ideas to improve this metric Empower staff with decision-making authority Provide comprehensive training and resources Ensure access to an updated knowledge base Conduct regular performance reviews Encourage collaboration among team members 3. Customer Satisfaction Score Measurement of customer satisfaction after support engagement
What good looks like for this metric: 80% satisfaction rate
Ideas to improve this metric Follow up with customers after resolution Provide personalised support where possible Gather feedback through surveys Identify pain points in the support process Continuously improve customer interaction skills 4. Ticket Backlog Number of unresolved requests or tickets within a specific time period
What good looks like for this metric: Less than 10% of total tickets
Ideas to improve this metric Monitor and raise alerts for high backlog Allocate additional resources during peak times Streamline processes to improve response times Regularly review ticket statuses Identify and address resource bottlenecks 5. Reopen Rate Percentage of requests that have been reopened after they were marked resolved
What good looks like for this metric: Less than 5%
Ideas to improve this metric Ensure thorough issue resolution before closing Improve documentation for recurring issues Engage experts for complex problems Provide clear and concise solutions Encourage feedback to understand unresolved issues
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1. Average Rides Per Week The average number of rides a user takes per week, measured monthly
What good looks like for this metric: 2-4 rides per week
Ideas to improve this metric Promote regular scheduling of rides Provide incentives for more frequent rides Enhance ride experience to encourage repeat rides Introduce loyalty programs for frequent riders Offer discounts during off-peak hours 2. Rider Retention Rate Percentage of riders who continue to use the service over 6 months
What good looks like for this metric: 45-60%
Ideas to improve this metric Improve customer support services Develop a strong onboarding process Offer personalised ride suggestions Implement feedback loops for continuous improvement Conduct regular rider engagement activities 3. Usage Growth Rate The percentage increase in total rides over 6 months
What good looks like for this metric: 30-50%
Ideas to improve this metric Launch seasonal promotion campaigns Increase partnership with local events Enhance visibility through strategic marketing Develop a referral program for riders Invest in community outreach and collaborations 4. Customer Satisfaction Score Average satisfaction rating provided by users after rides
What good looks like for this metric: 4.0-4.5 out of 5
Ideas to improve this metric Ensure timely and reliable rides Focus on driver etiquette and professionalism Utilise user feedback for service adjustments Upgrade vehicle comfort and cleanliness Establish transparent pricing and billing 5. Ride Frequency Distribution Distribution of ride frequencies among users over 6 months
What good looks like for this metric: 20% regular vs 80% occasional
Ideas to improve this metric Create targeted marketing for occasional riders Analyse patterns for frequent and infrequent users Offer educational content to highlight service benefits Identify barriers and streamline ride-booking process Implement targeted loyalty rewards for consistency
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1. Average Ticket Resolution Time The average time taken to resolve a ticket from the moment it's opened until it's closed. This measures efficiency in handling support requests.
What good looks like for this metric: 24 hours or less
Ideas to improve this metric Automate repetitive tasks Improve staff training Streamline ticket prioritisation Use performance-boosting software Implement a robust knowledge base 2. First Contact Resolution Rate The percentage of tickets resolved during the initial contact with the help desk. A high rate indicates effective support processes.
What good looks like for this metric: 70-75%
Ideas to improve this metric Equip staff with decision-making power Enhance customer service scripts Provide ongoing training Utilise integrated support tools Conduct regular process reviews 3. Customer Satisfaction Score (CSAT) A measure of customer satisfaction with the resolution of their support tickets, often gathered via surveys after ticket closure.
What good looks like for this metric: 85% or higher
Ideas to improve this metric Conduct feedback analysis Enhance communication channels Personalise support interactions Reduce wait times Regular staff empathy training 4. Ticket Volume Per Channel Tracking the number of tickets received via each support channel (e.g., email, phone, chat) helps understand customer preferences.
What good looks like for this metric: Balanced distribution across channels
Ideas to improve this metric Promote diverse contact options Evaluate efficiencies of each channel Optimise routing based on traffic Balance workforce allocation Improve multi-channel integration 5. Backlog Ratio The ratio of unresolved tickets at any time, measuring how well the help desk manages its workload.
What good looks like for this metric: 10% or lower
Ideas to improve this metric Implement extra shifts during peak times Regularly review and close stale tickets Prioritise high-impact cases Automate low-priority ticket handling Improve resource planning
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1. Team Velocity Measures the amount of work a team completes during a sprint, calculated by the total story points completed
What good looks like for this metric: 20-40 story points per sprint
Ideas to improve this metric Streamline workflows Refine sprint planning Enhance team collaboration Invest in skill development Use consistent estimation techniques 2. Sprint Burndown Tracks the completion of work throughout the sprint, showing remaining tasks vs. time
What good looks like for this metric: Consistent downward trend with minimal or no backlog at sprint end
Ideas to improve this metric Daily stand-ups to identify blockers Encourage realistic task estimates Prioritise critical tasks early Use burn-down charts for visibility Improve task segmentation 3. Cycle Time The total time it takes from starting a work item to its completion
What good looks like for this metric: 1-2 days for small tasks, up to 1-2 weeks for larger tasks
Ideas to improve this metric Minimize work-in-progress limits Enhance automated testing Implement continuous integration Use Kanban to visualise workflow Regularly review cycle times 4. Lead Time The total time from when a customer request is made to when it is fulfilled
What good looks like for this metric: Varies based on complexity, aim for a reduction over time
Ideas to improve this metric Prioritise tasks based on customer value Optimise backlog grooming Reduce bottlenecks Increase cross-functional team collaboration Regularly analyse and adjust processes 5. Customer Satisfaction (NPS) Measures customer satisfaction and loyalty through surveys or Net Promoter Score (NPS)
What good looks like for this metric: NPS score of 50-70
Ideas to improve this metric Increase customer feedback channels Actively respond to customer issues Continually improve product features Regularly review customer feedback Train team on customer service excellence
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1. Average Triage Time The average time taken to assess and assign issues to a technician
What good looks like for this metric: 2 hours
Ideas to improve this metric Implement automated ticketing system Train staff on swift issue identification Set clear prioritisation guidelines Regularly review triage processes Maintain an up-to-date technician skillset directory 2. Percentage of Issues Triaged Within 2 Hours The proportion of issues that are assessed and routed within the two-hour goal
What good looks like for this metric: 90%
Ideas to improve this metric Utilise time-tracking software Analyse bottlenecks in the triaging process Provide incentives for fast triaging Allocate sufficient resources during peak times Conduct regular training sessions 3. First Contact Resolution Rate The percentage of issues resolved without the need for additional follow-up
What good looks like for this metric: 75%
Ideas to improve this metric Expand technician training programmes Increase accessibility of status updates Improve communication between teams Ensure access to comprehensive knowledge base Implement real-time support tools 4. Customer Satisfaction Score The average satisfaction score given by customers regarding the triage process
What good looks like for this metric: 4 out of 5
Ideas to improve this metric Gather regular feedback from customers Reduce hold and transfer times Provide clear status updates Streamline communication channels Customise support to match customer needs 5. Backlog of Untriaged Issues The number of issues that remain unresolved or unassigned past the two-hour window
What good looks like for this metric: 5 or fewer issues
Ideas to improve this metric Regular audits of untriaged issues Enhance staffing levels during peak times Integrate advanced triage software Develop a quick response task force Set up alerts for untriaged issues
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1. Customer Satisfaction Score (CSAT) Measures customer happiness with a product or service, usually on a scale of 1-5.
What good looks like for this metric: 80-85%
Ideas to improve this metric Gather customer feedback regularly Address complaints promptly Enhance product features based on user feedback Train customer support staff adequately Implement a loyalty program 2. Net Promoter Score (NPS) Assesses customer loyalty by asking them to rate the likelihood of recommending the product to others on a scale of 0-10.
What good looks like for this metric: 30-50
Ideas to improve this metric Cultivate strong customer relationships Resolve issues swiftly and efficiently Encourage customers to share testimonials Offer incentives for referrals Improve the overall customer experience 3. Customer Effort Score (CES) Evaluates the ease of service usage by asking customers to rate their effort level in completing a task.
What good looks like for this metric: 5 or lower
Ideas to improve this metric Simplify processes Improve website usability Enhance user interface design Provide clear instructions and guidance Reduce waiting times in service 4. Churn Rate Indicates the percentage of customers who stop using a product or service within a particular time frame.
What good looks like for this metric: 5-7%
Ideas to improve this metric Identify reasons causing customer churn Enhance customer retention strategies Offer personalised experiences Develop an attentive onboarding process Continuously engage with customers 5. Customer Lifetime Value (CLV) A prediction of the net profit attributed to the entire future relationship with a customer.
What good looks like for this metric: 3 times the acquisition cost
Ideas to improve this metric Increase customer satisfaction initiatives Track customer purchasing patterns Improve customer segmentation Enhance cross-selling initiatives Increase quality of customer support
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1. Net Promoter Score (NPS) Measures customer loyalty and satisfaction by asking how likely customers are to recommend your product or service to others
What good looks like for this metric: 50 or above is considered excellent
Ideas to improve this metric Improve customer service Enhance product quality Request feedback and act on it Offer referral incentives Build a strong customer community 2. Customer Referrals Tracks the number of new customers acquired through referrals from existing customers
What good looks like for this metric: 10% of new customers is considered good
Ideas to improve this metric Introduce a referral program Simplify the referral process Provide incentives for referrals Highlight referral successes Ask for referrals at peak satisfaction points 3. Social Media Mentions Counts the number of times your brand is mentioned on social media platforms
What good looks like for this metric: Varies widely by industry and brand size
Ideas to improve this metric Engage with users on social media Create shareable content Encourage user-generated content Monitor social media trends Collaborate with influencers 4. Customer Lifetime Value (CLV) Estimates the total revenue a business can expect from a single customer account
What good looks like for this metric: Varies widely by industry
Ideas to improve this metric Enhance customer experience Upsell and cross-sell products Improve customer loyalty programs Offer exceptional after-sales service Personalise marketing efforts 5. Review and Rating Volume Tracks the number and quality of reviews and ratings your products or services receive
What good looks like for this metric: 4 stars or higher is considered good
Ideas to improve this metric Encourage customers to leave reviews Respond to all reviews Address negative feedback promptly Showcase positive reviews Simplify the review process
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1. Response Rate Percentage of community concerns addressed within a set timeframe
What good looks like for this metric: 80% of concerns responded to within 2 days
Ideas to improve this metric Automate initial responses to ensure timely acknowledgment Allocate dedicated staff to monitor concerns Implement a prioritization system for urgent concerns Provide training for staff on effective communication Set clear internal response targets for accountability 2. Resolution Time Average time taken to resolve community concerns
What good looks like for this metric: Resolve issues within 5 days
Ideas to improve this metric Streamline processes for common issues Increase collaboration between departments Regularly review and refine resolution steps Maintain a database of past solutions for reference Utilize project management tools for task tracking 3. Community Satisfaction Score Measure the satisfaction of community members with the resolutions provided
What good looks like for this metric: Achieve a satisfaction score of 4 out of 5
Ideas to improve this metric Collect feedback through surveys post-resolution Regularly review and address negative feedback Ensure transparency about actions taken Offer additional support or resources when needed Host community forums to discuss common concerns 4. Engagement Rate Percentage of the community actively participating in engagement initiatives
What good looks like for this metric: 60% participation in community events
Ideas to improve this metric Promote engagement initiatives through multiple channels Provide incentives for participation Tailor events to address varied community interests Schedule events at convenient times for the majority Collaborate with local influencers for broader reach 5. Knowledge Improvement Assessment of community’s increased awareness on key nature reserve topics
What good looks like for this metric: Improve awareness by 25% annually
Ideas to improve this metric Conduct pre-and post-event knowledge surveys Develop educational content on crucial topics Host regular workshops and seminars Partner with schools for educational outreach Utilize social media for regular information dissemination
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1. Customer Satisfaction (CSAT) Measures customer satisfaction with the service provided, usually through post-interaction surveys
What good looks like for this metric: 75% to 85% satisfaction rate
Ideas to improve this metric Provide personalised responses Ensure timely follow-ups Offer multi-channel support options Use clear and concise language Continuously train staff on customer service 2. Quality Assurance (QA) Score Evaluates the quality of support interactions based on predefined criteria
What good looks like for this metric: 85% to 95% QA score
Ideas to improve this metric Regularly update QA criteria Conduct team workshops Implement a feedback loop for staff Use role-playing scenarios Review and analyse call recordings 3. Average Handle Time (AHT) Tracks the average duration of handling a customer request from start to finish
What good looks like for this metric: 4 to 8 minutes
Ideas to improve this metric Implement time-saving tools Provide comprehensive training Streamline internal processes Utilise call scripts effectively Regularly review AHT goals 4. Tickets Handled Per Hour Measures the number of tickets resolved by a support agent in an hour
What good looks like for this metric: 8 to 12 tickets per hour
Ideas to improve this metric Use ticket management systems Prioritise tasks effectively Encourage team collaboration Automate repetitive tasks Regularly assess ticket assignment 5. First Call Resolution (FCR) Indicates the percentage of calls resolved without the need for follow-up
What good looks like for this metric: 70% to 85% FCR rate
Ideas to improve this metric Provide extensive product training Empower agents to make decisions Enhance access to information Use customer feedback effectively Address common issues promptly
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1. Incident Response Time The average time taken by the team to respond to reported incidents
What good looks like for this metric: Less than 30 minutes
Ideas to improve this metric Implement automated alert systems Conduct regular training on incident management Set clear response time goals Prioritise incidents based on severity Review and analyse past response times for improvement 2. System Uptime The percentage of time systems are operational and available
What good looks like for this metric: 99.9% or above
Ideas to improve this metric Conduct regular system maintenance Implement redundancy solutions Perform load testing to understand capacity Monitor system health in real-time Establish a disaster recovery plan 3. User Satisfaction Score Survey score given by users based on their satisfaction with team support
What good looks like for this metric: 8 out of 10 or higher
Ideas to improve this metric Regularly survey users to gather feedback Implement a user-friendly ticketing system Ensure timely updates to users Provide training in customer service skills Analyse feedback and address common issues 4. Ticket Resolution Rate The percentage of tickets resolved within the agreed service level agreement (SLA)
What good looks like for this metric: 95% or higher
Ideas to improve this metric Establish clear SLAs for ticket resolution Use ticketing software to prioritise workload Encourage team collaboration on complex issues Track pending tickets and address bottlenecks Hold regular reviews on ticket performance 5. Change Success Rate The percentage of system changes that are successfully implemented without causing incidents
What good looks like for this metric: 90% or higher
Ideas to improve this metric Establish a change management process Conduct risk assessments before changes Communicate changes to all stakeholders Provide training on implementing changes Review and learn from failed changes
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1. Customer Satisfaction (CSAT) Measures customer satisfaction based on their experience with the product, typically through surveys
What good looks like for this metric: 75%-85%
Ideas to improve this metric Improve customer support Enhance product features Implement user feedback promptly Conduct regular user experience reviews Offer personalised customer interactions 2. Net Promoter Score (NPS) Measures customer loyalty by asking how likely they are to recommend the product to others
What good looks like for this metric: 30-50
Ideas to improve this metric Implement user-friendly design Enhance product reliability Offer proactive customer support Regularly update and improve the product Conduct customer satisfaction surveys 3. Monthly Active Users (MAU) Tracks the number of unique users engaging with the product within a month
What good looks like for this metric: Varies by industry
Ideas to improve this metric Increase marketing efforts Enhance user engagement features Regularly update content Simplify onboarding process Offer promotions or incentives 4. Customer Retention Rate Measures the percentage of customers who continue using the product over a specific period
What good looks like for this metric: 80%-90%
Ideas to improve this metric Improve customer service Enhance product quality Analyse and address churn reasons Regularly engage with customers Offer loyalty programmes 5. Average Revenue Per User (ARPU) Calculates the average income generated per user, typically on a monthly or annual basis
What good looks like for this metric: Varies by industry
Ideas to improve this metric Upsell premium features Introduce new pricing models Increase user engagement Expand user base Conduct pricing analysis
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1. Instagram Engagement Measures the level of interaction (likes, comments, shares) relative to the total follower base
What good looks like for this metric: Between 1% and 3% engagement rate
Ideas to improve this metric Post consistently and at optimal times Utilise engaging and relevant hashtags Encourage user-generated content Collaborate with influencers Run interactive polls and Q&As 2. Website Traffic Tracks the number of visits to a website over a specified period
What good looks like for this metric: 1000 pageviews per day for small to medium sites
Ideas to improve this metric Optimise website for search engines (SEO) Promote website across social media platforms Invest in pay-per-click advertising Create engaging and relevant content Ensure website is mobile-friendly 3. Customer Retention Measures the percentage of customers who continue to buy over a certain period
What good looks like for this metric: Above 75% retention rate
Ideas to improve this metric Implement a customer feedback system Enhance customer service response times Develop a customer loyalty program Personalise customer communication Ensure product quality and reliability
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1. Brand Awareness Measures the level of consumer recognition of a brand, typically through surveys and social listening
What good looks like for this metric: Pre and post-campaign survey results
Ideas to improve this metric Increase social media presence Collaborate with influencers Use targeted online ads Develop engaging content marketing Execute a memorable PR stunt 2. Engagement Rate Measures the level of interaction consumers have with brand content, calculated by the total engagement (likes, comments, shares) divided by the total views or reach
What good looks like for this metric: 2% to 3% engagement rate
Ideas to improve this metric Create relatable and high-quality content Post consistently at optimal times Include a clear call-to-action Utilise interactive content like polls Respond to comments and messages promptly 3. Conversion Rate The percentage of users completing a desired action, such as purchasing or signing up, calculated by the number of conversions divided by the total visitors
What good looks like for this metric: 2% to 5% conversion rate
Ideas to improve this metric Simplify and speed up the checkout process Enhance landing page design Provide limited-time offers or discounts A/B test call-to-action buttons Ensure website is mobile-friendly 4. Customer Sentiment Analysis of consumer attitudes towards a brand, often assessed through sentiment analysis tools on social media and review sites
What good looks like for this metric: 70% positive sentiment
Ideas to improve this metric Monitor and address negative feedback swiftly Encourage positive reviews from satisfied customers Regularly conduct sentiment analysis Engage in proactive customer service Feature user-generated content 5. Return on Ad Spend (ROAS) Calculates revenue generated for every dollar spent on advertising, by dividing total revenue by total ad spend
What good looks like for this metric: 3x to 5x ROAS
Ideas to improve this metric Refine target audience based on data Optimise ad creative and placement Regularly analyse and adjust ad strategies Utilise retargeting techniques Increase ad budget incrementally
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Tracking your Customer Support Team metrics Having a plan is one thing, sticking to it is another.
Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.
A tool like Tability can also help you by combining AI and goal-setting to keep you on track.
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