KPIs for Insurance Brokers: What to Measure Beyond Revenue

Revenue per broker is a real measure and a poor coaching tool. It arrives a quarter after the conversations that produced it, and it moves with rate, market conditions and book composition as much as with anything a broker did on a call. This article sets out four categories of measure that sit closer to the work, which KPIs in each category hold up under a target and which ones bend, how to set a target a broker can influence inside a month, and how to run the review so it develops people rather than ranking them.
Why Revenue Per Broker Sits Too Far From the Work
Revenue per broker is the number most brokerages report on, and it deserves its place. It is the commercial result, it is comparable year on year, and it is the measure a principal is accountable for. What it does not do well is explain itself. Three things limit it as a management measure. The first is timing. A renewal conversation held in March shows up in a June number, and a new business enquiry handled badly in one quarter shows up as an absence in the next. By the time the figure moves, the conversations that moved it are months old and nobody can recall them precisely enough to act.
The second is attribution. Revenue moves for reasons that sit outside any individual's control. The 2026 Vero SME Insurance Index, which surveyed 1,250 SMEs and 250 large businesses in September 2025, found that 47 per cent of businesses reported a decline in revenue over the preceding 12 months, with micro and small businesses under the greatest pressure. The same research reports that six in 10 smaller businesses saw their premiums increase. A book can grow on rate while the broker holding it is losing clients, and it can shrink while the broker holding it is doing the best work of their career. A single figure cannot separate those two situations.
The third is granularity. Revenue per broker is one number per person per period. There is no version of that number that tells a broker what to do differently on Tuesday, which is what a coaching conversation needs. Development happens at the level of the behaviour, and revenue is three or four steps downstream of any behaviour.
None of this is an argument against measuring revenue. It is an argument for measuring alongside it. The activity that produces a commercial result runs through client conversations, and a brokerage that records those conversations is holding more evidence about performance than its reporting usually draws on. Some of that evidence is already counted: the call metrics a phone system reports natively describe how reachable a firm is and what a conversation costs. The rest sits inside the recordings, in what was actually said, and it is the part that explains the numbers rather than restating them.
A useful KPI set does three jobs that a revenue figure alone cannot. It gives a broker something they can change this month. It gives a manager something specific to talk about in a review. And it lets a firm notice a problem in the conversation layer before it arrives in the commercial layer, which is generally somewhere between one and three renewal cycles later.
The Four Categories Worth Measuring
Broker performance metrics fall into four categories, and a set that covers all four behaves very differently from a set that covers one or two. Each category answers a different question, and each one has a known weakness that another category checks.
Activity measures what a broker did. Calls taken and made, quotes issued, renewal conversations completed before expiry, client review meetings held, referrals requested. These are the easiest to count, because most of them are already recorded somewhere in the phone system or the CRM without anyone deciding to collect them. Activity answers whether the work happened at the volume the role assumes.
Quality measures how the conversation was handled. This is the category that most often has no number attached to it, because it requires a written definition before it can be scored at all. A brokerage that has decided what excellent sounds like on its own calls can score against that definition: whether expectations were set before the client asked, whether cover was translated into the client's own operation, whether an unraised exposure was raised. Those four observable behaviours are specific enough to be scored consistently by two different reviewers, which is the test a quality measure has to pass.
Client outcome measures what changed for the client. Retention at renewal is the obvious one. The more useful ones sit earlier: the proportion of clients who have had a documented risk conversation in the past 12 months, the proportion of recommendations that were acted on, referral rate, claims experience where a claim occurred. The Vero research gives some sense of the room available here. Around 60 per cent of businesses reported receiving risk advice from their broker, and two thirds of those acted on it. Among businesses that had not developed a business continuity plan, 22 per cent said a recommendation from their insurance broker would motivate them to develop one.
Compliance discipline measures whether the elements the firm has decided a conversation should contain actually happened. A brokerage sets that list itself, and what belongs on it depends on the service, the advice and the client. Common examples are a disclosure made and confirmed, the scope of the advice stated, the fee arrangement explained, and a file note completed inside the firm's own window. This category is often run as an exception report, which makes it the one most likely to be misread: a clean report can mean nothing went wrong, or it can mean nothing was looked at.
Each category carries a weakness the others cover. Activity without quality rewards volume. Quality without client outcome rewards performing to a scorecard. Client outcome without activity rewards holding a good book rather than working it. Compliance discipline without the other three describes a broker who completes the form and never has the conversation. Read together, the four produce a picture; read alone, any one of them points somewhere unhelpful. A workable set is six to eight measures in total, spanning all four categories, with one or two per category. Larger sets tend to be assembled because each individual measure looked reasonable, and they stop being read within a quarter.
| Category | The question it answers | Example measures |
|---|---|---|
| Activity | Did the work happen at the volume the role assumes? | Renewal conversations completed before expiry, quotes issued, client review meetings held |
| Quality | How was the conversation handled? | Score against a written definition of a good client conversation, applied to recorded calls |
| Client outcome | What changed for the client? | Retention at renewal, documented risk conversations per client, recommendations actioned, referral rate |
| Compliance discipline | Did the elements the firm requires in a conversation occur? | Disclosure completion rate, scope of advice stated, file note completed inside the firm's window |
Your calls are already being recorded.
Callyx.ai reads every recorded call, so the quality and compliance categories can be measured across the whole team rather than a sample of it.
Where KPI Sets Run Into Difficulty
The difficulties below are properties of measurement rather than of the people doing it, and they show up in well-run firms as readily as anywhere else.
Countable measures crowd out important ones
Activity data arrives without anyone collecting it, and quality data requires a definition, a review process and agreement between reviewers. The path of least resistance produces a set that is 80 per cent activity, which then describes effort with very little about effect.
A measure with a target attached changes the behaviour it measures
This is the most reliable pattern in performance measurement and it applies to almost every KPI on the list. Calls per day rises and call length falls. Handle time falls and repeat contacts rise. Conversion rate rises and the harder enquiries stop being logged. The measure is not wrong; the target has simply become the goal, and the underlying work has reorganised itself around it.
Quality scored on a sample carries the sample's bias
Where review runs on a monthly sample of a few calls per broker, the sample is usually small relative to the volume, and brokers can generally tell which calls are likely to be reviewed. A score drawn from those conversations describes a real capability, and it may describe capability under observation rather than capability on a Tuesday afternoon in renewal season.
Client outcome measures move on a renewal cycle
Retention is an annual measure by construction. A broker who changes how they work in September will not see it in retention until the following September, which makes retention useful for the firm and close to useless as a month-to-month development signal. The leading indicators, such as risk conversations held or recommendations actioned, are what fill that gap.
Exception reporting hides its own coverage
A compliance measure expressed as the number of issues found says nothing about how many conversations were examined to find them. Where the same measure is expressed as coverage, the proportion of conversations checked against the standard, it becomes readable.
Call centre measures carry assumptions a brokerage does not share
Answer rate, handle time and adherence were designed to staff large teams against service level agreements. In a brokerage of eight or 12 people they can still be informative, and they stop being informative the moment they are treated as productivity targets for individuals rather than as capacity signals for the firm.
What a Working KPI Set Looks Like
Firms that get value from broker KPIs tend to share a small number of design choices, most of which are decisions rather than tools.
Every broker's set spans all four categories
Six to eight measures, one or two from each. The set is the same across the team so that it can be discussed in the same language, and the targets inside it are not.
Targets are set on what a broker can influence inside a month
Retention cannot be influenced inside a month. The number of clients who have had a documented risk conversation can. Setting the target on the leading measure and reporting the lagging one as context is what makes a monthly conversation possible at all.
Activity measures are expressed as floors rather than goals
A minimum number of renewal conversations completed before expiry is a reasonable expectation. The same number as a stretch target produces shorter conversations. Where an activity measure is a floor, the interesting conversation is about anybody sitting below it, which is usually a workload or routing question rather than an effort question.
Quality is scored against a written definition the team helped write
A standard written elsewhere is a document. A standard drawn from three real calls the team already agrees are good is a shared reference, and it survives disagreement about a particular score because the disagreement can be settled by listening to the call.
Each measure is paired with its counterweight
Conversion next to average premium retained. Calls handled next to repeat contacts within seven days. Handle time next to quality score. The pairing is what stops a single number being optimised in isolation, and it takes about ten minutes to decide.
Everything is segmented before anyone is compared
A broker running a book of SME renewals and a broker handling new business enquiries have different reasonable values for almost every measure in the set. Comparing them produces an argument. Comparing each of them against their own prior period produces a development conversation.
Numbers go to the individual, not to a leaderboard
A published ranking measures one thing reliably, which is willingness to be ranked. Performance conversations work better when they run on documented evidence that is specific and private, and when the broker can see the same material the manager is working from.
An illustrative target, offered as an example of the shape rather than as a recommended value. Assume a firm decides every commercial client should have one documented risk conversation a year, and that it holds 240 commercial clients spread evenly across six brokers. That is 40 clients each, 40 conversations each over a year, and across roughly 46 working weeks it lands at about one documented risk conversation per broker per week. Every figure here is an assumption, including the even spread and the working year. The point of the example is the shape rather than the number: the target is weekly, countable, and entirely within the broker's control, which is what a revenue target is not.
The categories that are hardest to count are the ones that explain the result.
Callyx.ai scores quality and compliance across every recorded call, against a definition your brokerage writes itself. The measures that used to depend on a sample become measures of the whole team.
Book a DemoHow Callyx.ai Fits a KPI Set
Callyx.ai works on the call recordings a brokerage already holds. Nothing changes about how brokers take calls, and no review task is added to anyone's day. The Core capability is included on all plans; Comply, Coach, Insights and Learn sit on the Professional plan.
Core: activity and after-call work become measurable
Every call is transcribed and stored, an AI-generated summary is produced, and action items are extracted and delivered after the call. Activity measures stop depending on anyone logging anything, and the post-call work that usually has to be estimated by self-timing becomes something the record shows.
Coach: the quality category gets a number
The brokerage defines what excellent sounds like on its own calls. Coach flags missed qualification moments against that definition and produces structured, specific feedback for the broker. Because it applies to every recorded conversation rather than a monthly sample, a quality score stops describing performance under observation.
Insights: client outcome measures connect back to the conversation
Insights tracks conversions, retention and referrals, maps the patterns that predict those outcomes, and surfaces objections that went unaddressed. This is the layer that answers why a retention number moved, which is the question a retention number never answers on its own.
Comply: compliance discipline becomes coverage rather than exceptions
Comply maps the brokerage's compliance obligations, monitors disclosures and fee mentions, and applies per-call compliance flags across the whole team. A disclosure completion rate measured across every recorded call is a different measure from an exception count drawn from a sample.
Learn: the leading indicator for retention
Learn catches at-risk conversations early, identifies missed referral opportunities, and provides real-time alerts for critical moments. A conversation that signals a client is considering leaving is available while something can still be done about it, rather than at the renewal that confirms 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. None of this replaces the judgement of the person running the review. It changes what that person is working from.
A KPI set is only as good as the evidence underneath it.
Callyx.ai automatically monitors 100% of your recorded calls, so the quality and compliance measures in your set describe the whole team rather than the calls someone had time to listen to.
Practical Steps
Write the four categories down and pick one or two measures for each
Activity, quality, client outcome, compliance discipline. Six to eight measures in total. Resisting the ninth is the hardest part and the one that determines whether the set is still being read in March.
Define each measure in one sentence before the first read
What counts as a renewal conversation. What makes a callback a repeat contact. What a documented risk conversation has to contain. Definitions that live in one person's head produce numbers that change when that person takes leave.
Set the first targets from your own baseline rather than a benchmark
Run the set for four to six weeks with no targets attached and look at the spread. The first target is usually a small movement from the middle of that spread, and it is defensible in a way an imported industry figure is not.
Pair every measure with its counterweight before publishing any of them
Decide the pairs at the same time as the measures, and read them together every time. A measure that is reported alone will eventually be optimised alone.
Review monthly, individually, against the person's own prior period
Half an hour per broker, their own numbers, one or two specific calls to listen to together. This is the step that decides whether the team experiences the measures as development or as surveillance.
None of these five steps requires new software. They require a decision about what the firm wants to be able to see, and a written definition for each thing on the list. Step five is where a KPI set turns into coaching rather than reporting, and it is the one most often deferred, because it is the only step that needs a recurring slot in somebody's calendar.
Summary
Revenue per broker describes the result and not the work. It arrives late, it moves with rate and market conditions as well as with performance, and it offers a broker nothing to act on this month. Measuring alongside it, across activity, quality, client outcome and compliance discipline, gives a brokerage a picture that explains the commercial number instead of restating it.
The design choices matter more than the tooling. Six to eight measures rather than twenty. Targets on what a broker can influence inside a month. Activity expressed as a floor. Quality scored against a definition the team helped write. Every measure paired with a counterweight, everything segmented before anyone is compared, and the numbers going to the individual rather than to a wall.
Two of the four categories have historically been difficult to measure at any scale, because quality and compliance discipline both live inside the conversation rather than beside it. For a brokerage that already records and retains its client calls, that is a reading problem rather than a data problem. Callyx.ai turns those recordings into scored, searchable evidence against a standard the brokerage sets itself, which is what makes a KPI set describe the whole team rather than the part of it someone had time to listen to.
Every measure on the list below evidences something real and every one of them bends under a target. The third column is not a reason to drop the measure. It is the reason each measure is read next to its counterweight.
| KPI | What it evidences | How it gets gamed |
|---|---|---|
| Revenue per broker | The commercial result of a period, after rate and book composition have moved | Reluctance to reallocate accounts, resistance to transferring a client who would be better served elsewhere |
| Calls handled per day | Availability and workload across the week | Shorter conversations, fewer proactive callbacks, calls closed before the job is finished |
| Average handle time | The time cost of a conversation type, once segmented by call type | Complex conversations rushed, or one job split across two calls |
| New business conversion | Ability to turn an enquiry into a placement | Harder enquiries screened out early or never logged as enquiries |
| Renewal retention rate | Whether clients stayed across a cycle | Retention bought with premium concessions, difficult conversations deferred past the renewal |
| Quality score on recorded calls | How a conversation was handled against a written standard | Performing to the scorecard on the calls most likely to be reviewed |
| Documented risk conversations per client | Whether advice beyond placement is actually happening | A passing mention logged as a conversation |
| Disclosure completion rate | Whether the elements the firm requires in a conversation occurred | The wording read out and moved past without checking the client followed it |
Frequently Asked Questions
About the Author
Vincent Keogh
Vincent is an operations specialist on the Callyx.ai team, writing for compliance managers and principals on how to get maximum value from recorded calls: across compliance, staff training, and business performance.
Primary Sources
- Vero Insurance, 2026 SME Insurance Index: Insights Unlocked (full report, Suncorp Group)
- Callyx.ai, platform features
- Callyx.ai, The Call Metrics That Tell You How Your Brokerage Is Running
- Callyx.ai, What Separates a Great Insurance Broker From a Good One
- Callyx.ai, Quality Assurance for Insurance Brokers: Beyond Random Call Sampling
- Callyx.ai, Staff Performance Reviews That Are Actually Based on Evidence
- Callyx.ai, How to Coach Insurance Staff When You Can't Be in Every Conversation
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