Two hundred leads land in a shared inbox on a Monday morning. Each one is a name, a mobile number, a postcode and the word "auto". Nothing in that list tells you which three are worth calling before lunch, and everyone in the office knows the good ones go cold by Wednesday.
Deciding who gets called first is lead scoring, whether or not anybody in the agency uses the phrase.
Almost every lead scoring guide you can find was written for software. Those models score behaviour: how many emails somebody opened, which pages they read, whether they came back to the pricing page twice. A broker working bought or shared leads has none of that history, and the ten pages currently ranking for this exact question all assume you do.
That narrows the question. Which criteria can you actually collect, and at what moment?
Why Generic Lead Scoring Fails Insurance Brokers
Open any standard scoring model and roughly half the available points sit on engagement: email opens, site sessions, content downloads, repeat visits. That weighting makes sense when a prospect spends six weeks researching before they talk to anyone. It makes no sense at all when the lead reached you through a comparison site ten minutes ago and has never seen your name before.
What you hold at first contact is short. Contact details, the coverage type they asked about, where the lead came from, a timestamp, and whatever they typed into the form. Nothing else arrives with it. There's no session history to read and nothing in your system older than this morning.
Which means the model and the intake are one design problem rather than two. If a criterion is worth 20 points, something has to ask the question that earns them, and it has to ask before anyone picks up the phone. Brokers who treat scoring as a thing their CRM does after the fact end up scoring the four fields a comparison site passed them, which separates almost nothing.
Your scoring model is only as good as the questions you asked before the first call.
That's the argument for building the score into the quote request itself, which is what insurance lead funnels do, and it's the same logic behind a lead qualification framework that filters before a person spends time rather than after.
The Insurance Lead Scoring Criteria That Predict a Bound Policy
Five families cover nearly everything that predicts a bound policy, and all five can be collected in the first two minutes if you qualify leads inside the funnel rather than waiting for a CRM to observe something.
Coverage Trigger, or Why They Are Shopping Today
Nobody shops insurance for fun. They shop because something happened, such as a car bought last week, a house closing next month, a renewal notice with a higher number on it, a claim that got declined, or a business that just hired its first employee. A trigger with a date attached is the strongest single thing you can ask for, because it sets a deadline the prospect already feels and you didn't have to invent.
Score a dated life event high. Score "just comparing prices" low, and score it low even when the person seems friendly on the phone, because friendliness isn't a buying signal.
Renewal Timing, or When the Current Policy Runs Out
Ask when the current cover expires and you split your list into three groups without any further work. Inside 30 days is somebody who has to make a decision. Thirty to 90 days is a diary entry worth a reminder. A year out is a newsletter subscriber who will have forgotten you by the time it matters.
This is the criterion most models leave out entirely, because software has no equivalent of a renewal date. Insurance does, and it's sitting there for the asking.
Risk Fit, or Whether You Can Write It At All
Appetite decides whether the rest of the score means anything. Carrier appetite, the licensed territory, prior claims, any lapse in cover, property age, vehicle class, business classification: a prospect outside your appetite is worth nothing however keen they sound. An enthusiastic lead you can't place costs more than a cold one you can, because somebody works it for an hour first.
Ask the appetite questions early and make them cheap to answer. A dropdown of the classes you actually write beats an open box every time.
Reachability, or Whether Anyone Will Pick Up
The best-fit lead in the batch is worth nothing if the number rings out for three days. So score the contact details too. Ask for a preferred call window, offer a second channel, and check whether the email address uses a real domain. A prospect who picks a time slot has told you something a bought list never will, which is that they expect the call.
Negative Signals Worth Subtracting
Some answers should take points away rather than simply fail to add them: an address outside your licensed territory, a coverage type you don't write, a duplicate of a lead somebody already worked last month, a request for the cheapest possible price with no other detail given, a phone number that fails a basic format check.
Subtracting keeps the model as one number. The moment you start maintaining a separate exclusion list beside the score, two things can disagree, and the one nobody updated wins.
Turning Insurance Scoring Criteria Into Point Values
A list of criteria is a list of questions to ask. Weighting turns it into a decision. It is also the step every page currently ranking for this query skips, which is why the models you can find online all sound reasonable and none of them tell you what to do on Monday.
A Worked 100-Point Model
Start here and change the numbers once you have evidence of your own. The positives add up to 100, so a score reads as a percentage without anybody having to do arithmetic.
Criterion | What earns the points | Points |
|---|---|---|
Renewal timing | Current policy expires inside 30 days | 25 |
Coverage trigger | A dated event: purchase, move, rate increase, declined claim | 20 |
Risk fit | Inside carrier appetite and licensed territory | 20 |
Coverage type | A line you write and want more of | 15 |
Reachability | Mobile number plus a chosen call window | 10 |
Bundle intent | A second policy they'd move at the same time | 10 |
Outside territory | Address in a state or region you aren't licensed for | -40 |
Duplicate | Already worked in the last 90 days | -25 |
Price-only | Asks for the cheapest quote and gives nothing else | -15 |
Renewal timing carries the most because it's the only criterion that tells you about today rather than about the prospect. A perfect-fit lead whose policy renews in eleven months is a good lead and a bad phone call.
Setting the Threshold an Agent Calls On
Don't invent the threshold. Take the last hundred leads that turned into a bound policy, score them on paper against the model above, and look at where the bound ones stop appearing. That number is your floor, and it's usually lower than people expect.
Three bands are enough to run a desk on. Above 70, somebody calls today, and today means today. Between 40 and 69, the lead goes into an email sequence and waits for a reason to move up. Below 40, they get their result and nothing else until something changes.
Those are starting numbers. The bands that matter are the ones your own bound policies draw for you.
Why the Model Has to Be Defensible
A scoring model earns its keep when a new agent can argue with it. If nobody in the office can say why renewal timing is worth 25 and appetite is worth 20, nobody will believe the number on the day it says don't call, and within a month everyone is back to working the list top to bottom.
Write the weights down, put a date on them, and treat them as a version rather than a fact. An assessment builder makes that easy to change, which matters more than getting it right first time.
I would rather ship a model a new hire can argue with than one that lives in the head of your best producer and leaves when they do.
Capturing the Signals Inside the Quote Funnel, with involve.me
Every criterion above has to arrive from somewhere, and for a cold insurance lead the only place it can arrive from is the first thing you put in front of them.
Our own account data shows what insurance businesses already reach for on involve.me. Quizzes are the most common format they build, about a quarter of every funnel they make, ahead of both calculators and online forms.
Ask Only the Questions That Carry Points
Keep it to six or eight questions. Every question maps to a criterion with points attached, and any question that earns no points and helps the prospect with nothing comes out. That rule alone kills most of the length problem, because the questions people add for "context" are the ones nobody scores and nobody reads.
Order them by what they cost the person answering. Postcode, coverage type and renewal date are cheap and obviously relevant. Date of birth, claims history and anything financial are expensive, so they go last, once the prospect can already see they're getting something back.
The funnel also has to sit where the traffic already lands, which is the same question as where lead magnets convert best: the quote page, the landing page behind your ads, and the thank-you step of whatever form you run today.
Scoring the Answers As They Arrive
In involve.me the points live on the answers themselves. Turn on "Individual Score & Calculation" on each question, set a value against every answer, and a negative value where the answer should cost points. The score element set to "Individual Score" then sums the values of whatever the person picked. The other setting, "Correctly Answered Questions", counts right answers at one point each, which grades a quiz rather than scores a lead.
"Individual Score & Calculation" is only available on the Single or Multiple Choice, Image Choice and Dropdown elements, so any criterion you want scored has to be asked as a choice rather than as free text. So the appetite question becomes a dropdown of the classes you write, because an open box can't carry points however neatly somebody fills it in.
Once the total exists, Score-based Outcomes send the prospect to a different outcome page depending on where their score landed, which is the same three bands you set above doing their first piece of work. Most quiz funnel builders for brokers can capture an answer. Fewer can weight it and branch on the total in the same place.
What the Prospect Gets Back for Answering
They answered six questions to get something. Give them something real, such as an indicative range, a shortlist of the covers that fit, a checklist of what their situation needs, or a booked slot with a human. Charts, gauges and graphs on the outcome page are worth using when the number means something to them.
The score the agent sees and the page the prospect sees are two different things. A lead quality score is an internal number and it stays internal, because nobody enjoys being told they're a 38.
Start from an insurance quote funnel template
Swap in your own appetite, renewal bands and point values
Home Insurance Finder Quiz Template
Get Quote Life Insurance Template
Life Insurance Calculator Template
Routing a Scored Insurance Lead
Every minute between the submit button and the first call costs you something. The score decides who gets that minute. In involve.me the routing that acts on it is one workflow rather than a handoff between three tools.
The Top Band Reaches a Person the Same Hour
Build it as a single workflow triggered on completed submissions for the quote funnel. The first step after the trigger is a conditional logic split on the score. On the high branch, an internal email goes to whoever is calling, with the answers in the body so the agent opens the call already knowing the renewal date and the coverage type.
When you branch on a score, "Conditional Logic" accepts numbers only, so a band typed as "70-100" won't match anything. A band needs two conditions, score greater than or equal to 70 and score less than or equal to 100.
Where the high band should go straight into the diary rather than into a call queue, the outcome page can book qualified meetings directly, which removes the step where a good lead waits for somebody to notice it.
Everyone Else Enters an Email Sequence
The middle band is the reason built-in email automation belongs in the same workflow as the scoring. Put the acknowledgement on the trigger as the first "Send Email", then a "Wait", then a second email keyed to what they told you: a renewal reminder timed off their expiry date does more work than any generic follow-up ever will, and you already collected the date because it was worth 25 points.
The low band gets their result and stops there. Five emails to somebody who scored 22 is how a domain earns a spam reputation.
Where the Scored Record Lands
You don't need a separate CRM to run this. involve.me has a built-in CRM, so the scored contact, their answers and their band can sit in one place from the start. In summer 2026, Google Sheets was the single most connected integration across involve.me accounts, ahead of every CRM on the list, which tells you how many businesses are running their follow-up out of a spreadsheet and doing fine.
Score the quote request before anyone dials
Build the intake, weight the answers, and let one workflow send every lead to the right next step on its own. Trusted by 4,500+ businesses, SOC 2 Type II audited, and GDPR-compliant.
Checking the Model Against the Policies You Bound
A scoring model is a hypothesis about your own business, so check it monthly against the only evidence that settles anything, which is the policies that actually bound.
Agents comparing their own lead sources on r/InsuranceAgent land on the same measure:
“The method used is not as important as the final conversion rate, time spent to generate a policy, and CPA. If 100 people sign up for the calendar appointment and only ten show up, that’s obviously awful. Same as if they go into your CRM and you can’t actually get a hold of any of them.”
Take last month's leads, split them into the ones that became a policy and the ones that didn't, and compare the two score distributions. Clear separation means the model is doing its job. Heavy overlap means one criterion is carrying weight it hasn't earned, and it's usually the trigger, because a dated event feels persuasive and is easy to answer generously.
Most brokers reach this point and find they have twelve bound policies to test against rather than a hundred. Twelve is not enough to move weights on. Use it for the coarse check instead: score them, and if the model can't separate twelve winners from a pile of dead leads, it won't separate a hundred either. Keep the weights where they are, keep collecting, and look again at fifty. A model you refuse to retune on thin evidence does better work than one you rebuild every Friday on noise.
When agents say the call list is too thin, the threshold is too high or the funnel isn't asking enough questions to let good leads reach it. When they say the calls are junk, move points between criteria before you add a new one. Every criterion you add makes the model harder to audit and easier to abandon.
Somebody also has to own it, and it should be whoever runs the desk rather than whoever built the funnel. The person fielding complaints about the call list is the one who notices a weight going wrong, usually weeks before it shows up in a distribution.
Our article about insurance lead qualification covers what to ask and why an agent should never be the first filter.
If I had to keep one criterion out of the five, it would be renewal timing. The other four tell you whether a lead is good.
Timing tells you whether today is the day.
Lead Scoring Criteria for Insurance Brokers FAQ
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Five families cover nearly everything. Renewal timing is when the current policy expires. Coverage trigger is the dated event that started the search, such as a purchase, a move, a rate increase or a declined claim. Risk fit is whether the prospect sits inside your carrier appetite and licensed territory. Coverage type is whether the line is one you write and want more of. Reachability is whether the contact details and the chosen call window suggest anyone will pick up. Behavioural criteria borrowed from software scoring, like email opens and page views, carry almost nothing here, because most insurance leads arrive cold and answer once.
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Software scoring runs on observed behaviour collected over weeks. Insurance scoring runs on stated facts collected in one sitting, because a bought or comparison-site lead has no history with you at all. Insurance also has one criterion software has no equivalent for, which is the renewal date, and it is the most useful thing on the list.
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Start with renewal timing at 25, coverage trigger at 20, risk fit at 20, coverage type at 15, reachability at 10 and bundle intent at 10, so the positives total 100 and the score reads as a percentage. Then score your last hundred bound policies against those weights and move points toward whichever criterion separates them best. The starting numbers matter far less than checking them once against real outcomes.
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Somewhere around 70 out of 100 on the model above, but set it from your own data rather than from that number. Score the leads that became policies, find the point below which almost none of them sit, and use that as the floor. Three bands work well on a desk: call today, put into an email sequence, or send the result and wait.
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Yes, for anything that actively costs you time: an address outside your licensed territory, a coverage type you don't write, a duplicate of a lead worked in the last 90 days, or a price-only enquiry with nothing else attached. Subtracting keeps everything in one number. A separate exclusion list beside the score means two systems can disagree about the same lead.
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Ask six to eight questions and make every one of them earn points. Put the cheap questions first, such as postcode, coverage type and renewal date, and the expensive ones last, such as date of birth or claims history, once the person can see what they are getting back. A quote funnel that returns an indicative range or a shortlist buys you three or four more answers than a plain contact form does.
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Yes. Turn on "Individual Score & Calculation" on each question and set a value for every answer, including negative values. The score element set to "Individual Score" adds them up as the person answers, and Score-based Outcomes send them to a different outcome page depending on the total. A workflow triggered on "Completed Submission" then reads the score in a "Conditional Logic" step and routes the lead from there.
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No. The scoring happens in the funnel and the routing happens in the workflow, so the CRM is only where the record lands afterwards. Plenty of accounts send scored leads to a spreadsheet, and involve.me has a built-in CRM if you would rather keep the contact, their answers and their band in one place.
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Check it monthly and change it quarterly, unless something obvious breaks sooner. Monthly is often enough to notice a criterion drifting. Changing weights more often than quarterly means nobody on the desk ever learns what the number means, which costs you more than a slightly stale model does.
