The Call Metrics That Tell You How Your Brokerage Is Running
The numbers a brokerage reports on are outcome numbers: revenue per broker, policies written, retention at renewal. The activity that produces them runs through the phone system, which keeps its own record of every call it handles. This article sets out six call metrics worth tracking in a brokerage, what each one can tell you about the business, what it cannot tell you on its own, and why they are read as a set rather than one at a time.
The numbers a brokerage runs on sit one step away from the phone
Management reporting in most brokerages describes results. Revenue per broker, policy counts, retention at renewal and claims lodged are all real measures, and they all describe something that has already finished. The activity that produced them happened on the phone, weeks or months earlier, and for many firms it carries less routine reporting than the outcomes it feeds.
The vocabulary for measuring that activity comes from contact centres, where terms like answer rate and average handle time are used to staff large teams against service level agreements. Call centre metrics in that setting are staffing instruments. In a brokerage of eight or 12 people, the same measures answer a different and more useful question: whether the firm is reachable, responsive and consistent across the conversations that carry the client relationship.
That question has commercial weight behind it. The 2026 Vero SME Insurance Index found that 44 per cent of businesses would be willing to invest in a better claims experience, and among those who agreed, the two reasons cited most often were good communication throughout the process, at 56 per cent, and a simplified process, at 53 per cent. Both are attributes of conversations rather than of policies. The same Index puts broker satisfaction at 69 per cent, stable on the prior year and below the 87 per cent recorded in 2024, and reports that 42 per cent of businesses using a broker have been with the same broker for more than three years.
Relationships of that length are held together by consistency across hundreds of calls. Reviewing a meaningful proportion of those calls manually takes more time than most firms carry, and the record of them is closer to hand than many teams assume.
A hosted phone system keeps two kinds of record. One is the queue reporting layer. MaxoTel's queue statistics report on wait times, staff activity and abandoned calls, and are designed to show how quickly calls are being answered and which times of day and days of the week are busiest, so staffing can be adjusted against real demand.
The other is the per-call record. MaxoTel's call history holds every inbound and outbound call with its time, origin, destination, status, duration and cost, filterable by answered or unanswered and downloadable as a CSV file.
What either layer contains six months from now depends partly on how the phone system was set up in the first place, which is worth checking before any of these numbers are used to make a decision.
The six call metrics worth tracking, and what each one measures
Six measures cover most of what a brokerage principal needs to know about call activity. Four of them can be read directly from a hosted phone system. Two require a definition the firm sets itself, and are worth the effort of defining, because they are the two that connect call activity to the work the calls create.
Answer rate
The proportion of inbound calls answered by a person, measured against calls offered rather than against calls logged. It tells you whether the firm is reachable during the hours it says it is open. One caution applies where an auto attendant is in use: MaxoTel's own documentation notes that with an IVR in place, calls are marked as connected the moment the IVR picks up. An answer rate read straight off that status field can count a call as answered when the caller never reached a broker, so the queue layer is the more reliable place to read it.
Time to answer
How long a caller waits before a person picks up. The daily average is the least useful form of this number. The busiest hour is the one worth reading, because that is when the firm is least able to absorb an unexpected claim call, and it is where a service standard either holds or does not.
Abandonment
Callers who hang up before anyone answers, read by queue and by time of day. This is the closest thing a brokerage has to a direct measure of demand it did not serve. It says nothing about whether the caller tried again an hour later, which is why it is read next to repeat contacts rather than on its own.
Average handle time
Talk time plus hold time, segmented by call type. A renewal conversation, a claim notification and a certificate of currency request are three different jobs with three different reasonable durations, and averaging them into one number produces something that moves for reasons nobody can explain. Segmented, it becomes a useful signal about where time is going.
After-call work
The time between a call ending and the record of it being complete: the file note, the system update, the follow-up email, the task assigned to somebody else. The phone system does not measure this, since the call is over. It can be estimated with a fortnight of self-timing across the team, which is usually enough to show whether it is worth tracking permanently.
Repeat contacts
The same client calling back about the same matter inside a window the firm defines, commonly seven days. This is the measure that tells you whether the first conversation actually finished the job. It requires either a matter reference or a light tagging habit at the CRM end, and it is the metric most worth the setup cost, because it is the one that makes the other five interpretable.
Four of these six can be read today from a hosted phone system without any new software, though not all from the same place. Handle time comes from the per-call history export. Time to answer and abandonment come from the queue statistics, which are a separate report. Answer rate can be read from either, with the IVR caveat in mind. Two of the six need a decision before they can be counted at all. Firms that write those two definitions down early tend to get a usable baseline within a month.
Your calls are already being recorded.
Callyx.ai reads every recorded call, so the activity your phone system counts arrives with the conversation that produced it.
Where call metrics can mislead when they are read on their own
Call metrics carry a known weakness: several of them look like efficiency measures and behave like service measures. Read individually, they can point a firm toward changes that improve the number and worsen the experience behind it.
A short call is good or bad depending on the other five
Average handle time falling can mean brokers have stopped hunting for information they now have to hand. It can also mean conversations are being closed before the client has finished. The number itself does not distinguish between the two, and only repeat contacts and abandonment can settle which one is happening.
Abandonment is a service measure wearing an operational costume
A call that ends in the queue is a client who wanted something and did not get it. Where abandonment sits high in a particular hour, the answer is usually about rostering or routing rather than about effort, and it is worth reading against the queue reporting rather than against any individual's activity.
Averages hide the hour that matters
A daily average time to answer of 18 seconds can contain a 9am to 10am window running at 70 seconds. Renewal season concentrates that effect further. The busiest hour is where a service standard is actually tested, and a daily figure will rarely show it.
Illustrative example: two metrics read together
Every figure here is an assumption, not measured data. Assume eight brokers handling eight calls each a day, which is 64 calls. Assume average handle time falls from nine minutes to seven over a quarter, repeat contacts inside seven days rise from 12 per cent to 19 per cent across the same period, and a repeat call runs the same seven minutes as any other. On handle time alone the quarter looks like two minutes saved on every call, or about 128 minutes a day. The seven percentage point rise in repeat contacts adds roughly four to five calls a day, or about 31 minutes of additional repeat-call time. Nothing in these assumptions establishes why those repeat calls happened, or that the shorter first calls caused them. The point of the pairing is that handle time read on its own would not have raised the question.
A metric with a target attached changes the behaviour it measures
Handle time is the clearest case. Published as a target, it can shorten calls in ways clients notice quickly. Published as an observation, segmented by call type and read alongside repeat contacts, it supports a much better conversation with a team.
The numbers describe the shape of a call, not its content. Duration, status and wait time say a conversation happened and how long it ran. Whether the disclosure was made, whether the client's turnover was confirmed before quoting, and whether an objection went unaddressed all sit inside the recording. Reaching that layer through manual review is possible, and the cost of it grows in step with call volume, which is what tends to cap coverage well below the level a principal would choose.
What good measurement looks like in a brokerage
Firms that get value from call reporting tend to run it as a weekly habit with a small number of settled definitions, rather than as a dashboard that gets opened when something feels wrong.
The six are read as a set, in the same order, every week
The value is in the relationships between them. Answer rate and abandonment describe reachability. Handle time and after-call work describe cost per conversation. Repeat contacts describe whether the work held. A single metric read in isolation is a prompt to look at the others, not a conclusion.
Every definition is written down once
What counts as an answered call, whether internal transfers count, what window makes a callback a repeat contact, and which call types are compared against each other. Definitions that live in one person's head produce numbers that change when that person is on leave.
Everything is segmented by call type before anyone is compared
A broker handling claim notifications and a broker handling certificate requests will never have comparable handle times, and comparing them produces an argument rather than a decision.
Peak periods are read separately from the average
The busiest hour of the week, and the first fortnight of a renewal cycle, tell you what the firm looks like under load. That is the picture worth planning against.
Each activity metric is paired with an outcome
Answer rate next to conversion on new enquiries. Repeat contacts next to retention at renewal. Handle time next to the time the team spends on post-call admin, which is often where the time actually goes in a brokerage.
Someone owns the reading, not just the reporting
A weekly note that says what changed and what it might mean reaches a decision. A dashboard that nobody has been asked to interpret usually does not.
See the calls behind the numbers.
Call metrics tell you a conversation happened and how long it ran. Callyx.ai reads what was said in all of them and reports what changed this week.
Book a DemoHow Callyx.ai reports call metrics alongside what was said
Callyx.ai works on the recordings a firm already holds, alongside whatever the phone system reports. Nothing changes about how brokers take calls, and no review task is added to anyone's day. Callyx.ai automatically monitors 100% of your recorded calls, which is the part of call measurement that does not scale when it is done by hand.
Core
Every call is transcribed and stored, an AI-generated summary is produced, and action items are extracted and delivered after the call. This is the layer that turns a folder of audio into something readable, and it is also what makes after-call work measurable rather than estimated.
Insights
Tracks conversions, retention and referrals, maps the patterns that predict those outcomes, and surfaces objections that went unaddressed. This is the layer that pairs an activity metric with an outcome, which is the step that turns call reporting into business reporting.
Coach
The firm defines what excellent sounds like. Coach flags missed qualification moments against that definition and produces structured, specific feedback for the broker, which gives a handle time conversation something concrete to sit on.
Comply
Maps the firm's compliance obligations, monitors disclosures and fee mentions, and applies per-call compliance flags across the whole team rather than a sample of it.
Results are delivered after every call to an inbox, a CRM or a practice management system, depending on how the firm is set up. Callyx.ai is Australian-owned and runs on Australian data infrastructure.
The practical change is what the weekly read becomes. The phone system continues to answer how many, how fast and how long. The recording layer answers what was said, which is the question that makes a movement in any of the six metrics explainable.
The record already exists. The reading is the gap.
Callyx.ai turns the calls your team is already recording into a weekly picture of how the brokerage is running, without adding a review task to anyone's workload.
Practical steps
Export a month of call history and look at the fields
Before deciding what to measure, see what your own system already holds. A CSV export of a full month shows which of the six are available today and which need a definition. Vendors, plans and configurations differ, so the only reliable answer is your own export.
Write down the definitions before the first read
Answered, abandoned, the repeat contact window and the call types you will compare. Half a page is enough. This is the step that makes week four comparable to week one.
Pick the three questions the numbers are there to answer
Reachability during business hours, capacity through renewal season and whether first calls are finishing the job are the usual three. Deciding this first stops the reporting collecting fields nobody uses.
Segment before you compare
Split by call type, then by broker, and never the other way around. This keeps the weekly read about the work rather than about people.
Give the read a fixed slot and an owner
Thirty minutes, same time each week, one person responsible for writing two or three lines on what moved and what it might mean.
Where call review already runs on a monthly sample, the metrics read is the natural companion to it: the sample says what good sounds like, and the metrics say how often it is happening. None of these five steps requires new software. They require a decision about what the firm wants to be able to see, which is usually the part that gets deferred.
Summary
Call metrics are worth tracking in a brokerage because they describe the activity that produces every number the firm already reports on. Answer rate and time to answer say whether clients can reach you. Abandonment says what demand went unserved. Handle time and after-call work say what a conversation costs. Repeat contacts say whether the first conversation finished the job. Read individually they can point in the wrong direction. Read as a set, weekly, with definitions that do not move, they give a principal something closer to the picture a four-person firm gets for free.
The limit of the set is that it describes shape rather than content. Every one of these measures counts conversations without hearing them, and the reasons behind a movement in any of them sit inside the recordings. For firms that already record and retain their client calls, closing that gap is a reading problem rather than a data problem, and it is the problem Callyx.ai is built to solve: every recorded call transcribed, analysed and reported back, alongside the numbers the phone system was already producing.
| Business question | Metric that answers it | What it does not tell you |
|---|---|---|
| Can clients reach us during the hours we say we are open? | Answer rate, measured against calls offered | Whether the person who answered could help |
| Are callers waiting too long before someone picks up? | Time to answer, read at the busiest hour rather than the daily average | Why the wait happened, which is usually rostering or routing |
| Are we losing enquiries before we speak to them? | Abandonment by queue and time of day | Whether the caller rang back later or went elsewhere |
| Are renewal conversations getting the time they need? | Average handle time, segmented by call type | Whether the time went on advice or on looking things up |
| What does each call cost us after it ends? | After-call work time per call | Which parts of that work could be produced automatically |
| Are clients calling back about the same thing? | Repeat contacts on the same matter inside a set window | What was left unresolved on the first call |
Frequently Asked Questions
About the Author
Julia Thomson
Julia is a business strategist on the Callyx.ai team. She writes about how businesses can use call intelligence to improve productivity and reclaim time for the work that matters.
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