# A comprehensive glossary of customer experience metrics and concepts :format(webp)) Anjana Vasan Principal Content Marketer Parloa January 10, 2026 • 7mins Customer experience (CX) encompasses every interaction a customer has with a brand across all touch points. This glossary covers 100+ essential metrics, concepts, roles, tools, and frameworks—organized alphabetically for quick reference. Each entry includes a complete definition, formula (where applicable), why it matters, and benchmarks where standard. ## **A** ### **Abandonment Rate** The [abandonment rate](/content/knowledge-hub/agentic-ai-in-banking/index.html) is the percentage of customers who start but do not complete an interaction, such as calls, chats, or forms. **Formula:** (Abandoned interactions ÷ Total interactions) × 100 **Benchmark:** <5% for calls. High rates signal long waits or poor self-service. ### **Active Listening** Active listening is a CX practice where agents fully concentrate, understand, respond thoughtfully, and remember customer needs to build trust through empathy. ### **After-Call Work (ACW)** [After-call work](/content/knowledge-hub/parloa-faqs/index.html) (ACW) is the time agents spend after an interaction completing documentation, updating records, or handling follow-ups. **Benchmark:** 10–20% of total handle time. High ACW indicates inefficient tools or workflows. ### **Agent Assist** [Agent](/content/platform/scale/index.html) assist refers to real-time AI tools that suggest responses, knowledge articles, or next actions to agents during live interactions, reducing ACW by 20–30%. ### **Average Handle Time (AHT)** [Average handle time](/content/platform/optimize/index.html) (AHT) is the total time per interaction, including talk time, hold time, and after-call work. **Formula:** (Talk + Hold + ACW) ÷ Total interactions **Benchmark:** 6–8 minutes. Balance speed with quality. ### **Average Response Time (ART)** Average response time (ART) is the average time from when a customer submits an inquiry until they receive the first agent response. **Benchmark:** <1 minute for chat, <30 seconds for email auto-reply. ### **Average Speed of Answer (ASA)** Average speed of answer (ASA) is the average time customers wait in queue before an agent picks up the call. **Benchmark:** <20 seconds. Critical for first impressions. ## **B** ### **Bottom Box Score** The bottom box score is the percentage of lowest ratings (1–2/5 or 1–6/10) in CSAT or CES surveys, which flags severe dissatisfaction. ## **C** ### **Chief Customer Officer (CCO)** A Chief Customer Officer (CCO) is the executive responsible for overseeing all customer-facing strategies, metrics, and cross-functional alignment. ### **Closed Feedback Loop** A closed feedback loop is the process of collecting customer feedback, analyzing it, taking action, and informing customers about resulting changes to drive loyalty. ### **Contact Center** A contact center is a centralized hub that handles inbound and outbound customer interactions across voice, chat, email, and social channels, with modern ones being omnichannel. ### **Containment Rate** The [containment rate](/content/knowledge-hub/contact-center-automation/index.html) is the percentage of issues resolved without agent escalation through successful self-service. **Benchmark:** 20–40%. AI significantly boosts this metric. ### **Cost Per Contact (CPC)** [Cost per contact](/content/knowledge-hub/enterprise-ai-customer-support-platforms/index.html) (CPC) is the total contact center costs divided by the total number of interactions handled. **Formula:** Total costs ÷ Total contacts **Target:** $5–10 depending on industry. ### **Customer-Centricity** Customer-centricity is a business philosophy that prioritizes customer needs across products, processes, and culture over short-term profits. ### **Customer Churn Rate** The [customer churn](/content/blog/agentic-ai-in-finance/index.html) rate is the percentage of customers lost during a specific period. **Formula:** (Lost customers ÷ Total customers at start) × 100 **Benchmark:** <5% monthly. CX directly impacts retention. ### **Customer Effort Score (CES)** The [Customer Effort Score](/content/knowledge-hub/how-to-measure-customer-effort-score-a-complete-guide/index.html) (CES) measures how easy it was for a customer to complete a task, typically on a 1–7 scale where 1 means “Very Difficult.” Lower scores are better. ### **Customer Experience (CX)** Customer experience (CX) is the sum of all interactions a customer has with a brand across every touchpoint and journey stage, taking a holistic view beyond transactional satisfaction. ### **Customer Journey Mapping** [Customer journey](/content/blog/customer-journey/index.html) mapping is the visual representation of all stages, touchpoints, emotions, and pain points a customer experiences from awareness to advocacy. ### **Customer Lifetime Value (CLV)** [Customer Lifetime Value](/content/blog/return-on-investment-customer-service/index.html) (CLV) is the projected revenue a business can expect from a single customer over the duration of their relationship. **Formula:** Avg Purchase Value × Frequency × Lifespan Prioritizes high-CLV customer segments. ### **Customer Satisfaction Score (CSAT)** The [Customer Satisfaction Score](/content/knowledge-hub/ai-customer-service-software/index.html) (CSAT) is a post-interaction satisfaction rating, typically measured as the percentage of 4–5 ratings on a 1–5 scale. **Benchmark:** 85%+. This is a transactional metric. ## **D** ### **Deflection Rate** The  [deflection rate](/content/knowledge-hub/contact-center-analytics/index.html) is the percentage of inquiries resolved through self-service, avoiding the need for live agent contact, and is synonymous with containment rate. **Target:** 30–50%. ### **Digital Customer Service** Digital customer service refers to self-service experiences delivered through apps, portals, chatbots, and other digital channels across web, mobile, and social platforms. ## **E** ### **Employee Experience (EX)** Employee experience (EX) is the internal equivalent of CX, focusing on agent satisfaction, which directly drives better customer outcomes since happy agents create happy customers. ### **Escalation Rate** The  [escalation rate](/content/blog/ai-agent-lifecycle-customer-service/index.html) is the percentage of interactions handed off to higher-tier support or supervisors. **Benchmark:** <10%. High rates signal gaps in self-service or agent training. ### **Experience Management (XM)** Experience Management (XM) is the end-to-end practice of designing, measuring, and continuously improving all customer and employee experiences across an organization. ## **F** ### **First Call Resolution (FCR)** [First Call Resolution](/content/knowledge-hub/contact-center-automation/index.html) (FCR) measures the percentage of issues resolved on the first contact without requiring repeat calls, escalations, or follow-ups. **Benchmark:** 70–80%. This is the #1 predictor of customer loyalty. ### **First Response Time (FRT)** First Response Time (FRT) is the time elapsed from when a customer submits an inquiry until they receive the first response, whether human or automated. **Benchmark:** <10 minutes for chat, <1 hour for email. ## **H** ### **Human Touch** The human touch refers to moments of empathy, personalization, or complex problem-solving that require human judgment and cannot be adequately handled by automation. ## **I** ### **Intent Recognition** [Intent recognition](/content/blog/build-scale-voice-ai-agents/index.html) is an AI and NLP capability that identifies a customer’s goal or purpose from their natural language input, enabling accurate routing and self-service. ## **J** ### **Journey Analytics** Journey analytics examines interactions across all touchpoints to identify patterns, drop-offs, bottlenecks, and optimization opportunities throughout the customer journey. ## **K** ### **Knowledge Base (KB)** A knowledge base (KB) is a centralized repository of support articles, FAQs, troubleshooting guides, and agent scripts that powers both self-service portals and real-time agent assistance. ## **L** ### **Lifetime Value (LTV)** Lifetime Value (LTV) is the same as Customer Lifetime Value (CLV) and represents the projected long-term revenue a business can expect from a single customer. ## **M** ### **Moment of Truth** A moment of truth is a critical interaction that significantly shapes a customer’s perception of the brand and their long-term loyalty. ## **N** ### **Net Promoter Score (NPS)** [Net Promoter Score](/content/knowledge-hub/contact-center-analytics/index.html) (NPS) is a loyalty metric derived from the question “How likely are you to recommend us to a friend or colleague?” **Formula:** % Promoters (9–10) − % Detractors (0–6) **Benchmark:** 50+. ## **O** ### **Omnichannel** [Omnichannel](/content/customers/joining-forces-how-kpmg-and-parloa-are-changing-the-game/index.html) refers to a seamless customer experience across [all channels](/content/platform/scale/index.html) where context and history are preserved. ### **Occupancy Rate** The occupancy rate is the percentage of an agent’s scheduled time spent actively handling interactions versus being idle. **Benchmark:** 75–85%. Rates above 85% often lead to burnout. ## **P** ### **Peak Hour Utilization** Peak hour utilization measures agent efficiency and productivity during the busiest periods of operation. ### **Personalization** [Personalization](/content/customers/joining-forces-how-kpmg-and-parloa-are-changing-the-game/index.html) tailors customer experiences using data such as names, purchase history, and preferences, boosting CSAT by up to 20%. ## **Q** ### **Quality Assurance (QA)** Quality assurance (QA) evaluates customer interactions for compliance, empathy, accuracy, and efficiency, with AI enabling QA at 10× scale. ## **R** ### **Resolution Time** [Resolution time](/content/knowledge-hub/ai-customer-service-software/index.html) is the end-to-end duration from inquiry to full issue closure. **Benchmark:** <24 hours for non-urgent issues. ### **Retention Rate** Retention rate is the percentage of customers who continue doing business with a company over a given period. ## **S** ### **Self-Service Containment** Self-service containment measures the percentage of customer issues resolved without live agent involvement. ### **Sentiment Analysis** [Sentiment analysis](/content/knowledge-hub/ai-customer-service-software/index.html) detects emotional tone in customer text or speech to enable coaching, escalation, and trend analysis. ### **Service Level** Service level measures the percentage of interactions answered within a predefined time threshold (e.g., 80/20). ## **T** ### **Top Box Score** The top box score is the percentage of highest ratings received (5/5 or 10/10), emphasizing excellence over averages. ### **Touchless Resolution** Touchless resolution refers to issues resolved entirely without human involvement through automation or AI. ### **Transfer Rate** The transfer rate is the percentage of interactions handed off between agents or teams. ## **U** ### **Utilization Rate** The utilization rate is synonymous with occupancy rate and measures the percentage of agent time spent serving customers. ## **V** ### **Voice of Customer** [Voice of the Customer](/content/knowledge-hub/voice-of-customer/index.html) (VoC) aggregates feedback from surveys, reviews, social media, and interactions to extract actionable insights. ## **W** ### **Wrap-Up Time** Wrap-up time is synonymous with After-Call Work (ACW) and refers to post-interaction administrative tasks. ## **CX Topics & Frameworks** ### **AI Agent** An AI agent is autonomous software that handles end-to-end customer conversations and workflows using NLP and large language models. ### **Customer Journey Orchestration** [Customer journey orchestration](/content/blog/multiple-ai-agents-working-together/index.html) coordinates and automates touchpoints across channels to deliver optimal next-best actions. ### **Zero-Party Data** Zero-party data is information customers intentionally share, enabling hyper-personalization. ### **CX Maturity Model** The CX Maturity Model describes organizational progression from reactive support to predictive, AI-orchestrated experiences.