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Glossary · September 30, 2026

Call center KPI glossary: metrics defined with formulas

Thirty call center and sales calling metrics defined in plain language, with formulas and a note on how to use each one.

Call center KPI glossary: metrics defined with formulas

This call center KPI glossary defines the metrics people use to run sales and support calling, with a formula for each and a note on what to watch for. Definitions vary between teams, so the most important habit is to write down yours, including the denominator, and keep it the same over time.

For which metrics to prioritise, read AI calling metrics that matter. Use this page as the reference behind it.

How to use this glossary

  • Pick five to eight metrics, not all of them.
  • Write each definition and denominator in your own team doc.
  • Compare periods using the same definition.
  • Pair a volume metric with a quality metric so neither is gamed.

Reach and connection metrics

MetricFormulaNotes
DialsTotal call attemptsVolume only, says nothing about quality
Answer rateCalls answered by a person / dialsDecide whether voicemail counts; most teams exclude it
Contact rateLeads reached at least once / leads calledLead-level, not call-level
Not-reached rateLeads never answered / leads calledYour list for text and email follow-up
Voicemail rateCalls ending in voicemail / dialsHigh rates can suggest poor timing
Attempts per leadDials / unique leadsCompare with your cadence plan
Abandonment rateInbound calls dropped before answer / inbound callsLower is better; watch peak hours
Bad number rateInvalid or disconnected numbers / dialsPoints to list quality problems

Conversation metrics

MetricFormulaNotes
Conversation rateCalls above a minimum length (for example 30 seconds) / answered callsFilters out hang-ups
Average talk timeTotal talk time / callsLonger is not always better
Average handle time (AHT)(Talk time + hold + wrap-up) / callsStaffing metric
Hold timeTotal time on hold / calls placed on holdMainly inbound
Interruption rateCalls where the caller interrupted / callsUseful for AI agents; reveals pacing issues
Transfer rateCalls transferred to a human / conversationsFor hybrid setups
Hang-up in first 10 secondsCalls ended within 10s / answered callsTests your opening line

Outcome metrics

MetricFormulaNotes
Qualified rateQualified leads / conversationsDefine "qualified" in writing
Booked rateMeetings booked / conversations (or / leads, state which)Core sales metric
Show rateMeetings attended / meetings bookedLow show rate often points to weak confirmation
No-show rate1 minus show ratePair with reminder tests
Conversion rateLeads that reached a defined goal / leads in the groupAlways name the goal and group
Callback rateCallbacks requested / conversationsSignals interest or bad timing
Opt-out rateDo-not-contact requests / leads calledWatch for spikes after list changes

Speed metrics

MetricFormulaNotes
Speed to leadFirst call time minus lead arrival timeUse the median
Average speed of answer (ASA)Total wait before answer / answered callsInbound
Service levelCalls answered within a target time / calls offeredFor example, answered within 20 seconds
First-call resolutionIssues solved on first contact / issuesSupport metric

For the operating model behind speed, see the speed to lead playbook.

Cost and efficiency metrics

MetricFormulaNotes
Cost per callTotal calling cost / callsInclude provider and software costs
Cost per conversationTotal cost / conversationsBetter than cost per dial
Cost per booked meetingTotal cost / meetings bookedSee the cost per booked meeting calculator
Cost per qualified leadTotal cost / qualified leadsUseful before the meeting stage
Calls per rep per dayDials / rep daysCapacity measure, not performance
UtilisationTime on calls / available timeStaffing only

Quality metrics

MetricFormulaNotes
Quality scorePoints earned on a rubric / points possibleSee the call quality scorecard
Compliance pass rateCalls meeting all required items / calls reviewedReview a sample every week
Unanswered question rateCalls where the agent could not answer / calls reviewedFeeds your knowledge base
CSATSatisfied responses / survey responsesNeeds a survey step

Worked example (illustrative)

A team dials 1,000 leads in a week. 280 answer, 210 hold a conversation of over 30 seconds, 60 are qualified and 30 book a meeting. Total cost for the week is [£/$] 900.

  • Answer rate: 280 / 1,000 = 28 percent
  • Conversation rate: 210 / 280 = 75 percent
  • Qualified rate: 60 / 210 = about 29 percent
  • Booked rate: 30 / 210 = about 14 percent
  • Cost per booked meeting: 900 / 30 = 30

The numbers are invented to show how the metrics chain. Your funnel will differ.

Common mistakes with KPIs

  1. Using different denominators in different reports.
  2. Tracking dials but not outcomes.
  3. Averaging response times when the median tells the truth.
  4. Cutting handle time and losing conversations.
  5. Counting voicemail as a conversation.

Try it

Purple Voice shows calls, transcripts, summaries and recordings in the dashboard, with campaign progress and not-reached analytics; Pro adds Insights. The Free plan lets you start tracking with no card, at voice.purplerocket.co.

Frequently asked questions

What are the most important call center KPIs?

For outbound sales, answer rate, conversation rate, qualified rate, booked rate and cost per booked meeting matter most. For inbound, answer speed, abandonment rate and first-contact resolution are common starting points.

How do you calculate answer rate?

Divide calls that were answered by a person by total calls dialled, then multiply by 100. Decide in advance whether voicemail counts as answered; most teams count only live people.

What is the difference between contact rate and conversion rate?

Contact rate measures how many leads you reached. Conversion rate measures how many of a defined group, such as contacted leads, took the next step, such as booking a meeting. Always state the denominator.

What is average handle time?

Average handle time is the average total time spent on a call, including talk time and any wrap-up work, divided by the number of calls. It is useful for staffing but should not be pushed down at the expense of outcomes.

Which KPIs matter for AI voice agents?

The same sales metrics apply, plus transcript-based quality checks, transfer rate and the share of calls where the agent could not answer. Review them alongside each other, not alone.

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