Insurance leads should arrive ready to price

Insurance is bought when something happens: a contract is won, a licence comes up for renewal, a business hires its first employee. A sales funnel built around those moments, asking only enough to give a price and leaving the rest until the client wants to buy, follows what the best digital sales operations already do. This piece sets out the case, and where it still has to be proven.

The problem: leads that can’t be quoted

Most insurance leads reach a broker as a name, a phone number and perhaps an email address. Before anyone can quote, someone has to call the prospect back, find out what the business does, work out which covers apply, and collect the rating information each market asks for. Much of that is then typed again into an insurer’s or agency’s system.

That gap is expensive in three ways. The prospect has to wait while interest fades. The broker spends account executive time on data collection, not advice. And the market often comes back asking for information the first conversation missed, so the cycle repeats.

The usual response is to buy more leads or spend more on ads. That raises volume without fixing the problem: each extra lead arrives just as thin as the last. The approach set out here starts from a different question. Instead of asking how to attract more prospects, it asks what a lead has to contain, and when it has to arrive, for a broker to price it at once. The funnel described in this piece is a design: these are design claims, not a description of a live system or any named party’s capability.

Triggers before audiences

A business owner does not think about insurance in the abstract. They think about it when something forces the question: a head contractor asks for a certificate of currency before site start, a tax agent’s registration comes up for renewal, a business wins its first government contract. Those events are the buying moments, and they are far more predictive than any demographic segment.

Trigger marketing is now standard practice among insurers with tight budgets. Industry writing describes pairing first-party signals (site visits, CRM records) with life and business events, and treating each trigger on its own terms: some call for fast outreach, others for a longer nurture (Insurance Thought Leadership, 2024). The same article makes a practical point: trigger campaigns are easier to measure than broad brand spend, because conversion can be tracked against a specific event.

A funnel built this way is organised around its triggers, not its audience. Each trigger records what the event is, how it can be detected, how long the window stays open, which information it requires and which products it maps to. The page a builder lands on after winning a contract therefore talks about that contract, and asks about it, rather than offering generic business insurance.

This has two effects. Relevance lifts response, because the message matches what the prospect is dealing with that week. And the trigger tells the broker which products to quote before a single question is answered.

Ask enough to price, and the rest only when the client wants to buy

Conventional conversion advice says to cut form fields. The evidence is more mixed than that. In one widely cited test, removing fields from a form cut conversions by 14%, because the fields removed were the ones visitors wanted to answer; other tests found that longer forms, split into steps, converted better than short ones (Venture Harbour, summarising five studies). The lesson is that relevance matters more than length. People will answer questions that obviously move them towards what they came for.

The funnel applies that lesson in two stages. First, it asks only enough questions to give the prospect a price. Only if the client wants to take the next step and bind does it ask for the rest of the information the underwriter needs. This dialogue makes the funnel much more efficient. The first step stays short, so more prospects get as far as a price, and nobody completes a full proposal form just to find out what cover costs. The prospects who do go on to answer the remaining questions have already seen a number they are willing to pay.

Every question, at either stage, serves a trigger, a routing rule or a field the product needs to rate the risk. The questions are not written by hand: they are derived from the target product’s field mappings, so the funnel asks what the underwriter will ask, in the order that most quickly makes the risk priceable.

Two further practices follow:

• Pre-fill, then confirm. Business identity and entity details come from ABN Lookup, and other items from professional registers or uploaded documents. Every pre-filled value is shown to the prospect to confirm, so speed does not cost accuracy.
• Capture once. Every answer is stored against a standard data item, not a page or form. An answer given to a builders check in March can pre-fill a renewal or a cross-sell in October.

The result is a lead that arrives with a price attached and the information a market needs, rather than a contact record that starts a fact-finding exercise.

Speed to lead

The best-known study of lead response time audited 2,241 US companies by sending each a web enquiry. Only 37% replied within an hour, 23% never replied, and those that did reply within 30 days took 42 hours on average. A companion analysis of 1.25 million leads found that firms contacting a lead within an hour were about seven times as likely to qualify it as firms that waited one hour longer, and more than 60 times as likely as firms that waited a day (Oldroyd, McElheran and Elkington, Harvard Business Review, 2011, as reported by SmartCompany).

The research is now 15 years old, but the reason behind it has not changed: a prospect who has just filled in a form is paying attention, and that attention fades within hours.

The funnel treats response time as a product feature, not a sales discipline. Each lead carries a first-contact timer, with a default target of 15 business minutes in the brokerage’s hours. The prospect gets an immediate acknowledgement and a link to book a call. The assigned person and the principal are alerted, and a lead is reassigned if nobody responds in time. Time to first contact is the main measure of how well a brokerage is using the funnel.

Pricing in the funnel changes the problem again. Where a price can be shown in the funnel, the prospect does not have to wait for anyone to get a number. The broker’s first contact is then a confirmation and a conversation about cover, which is the part of the work that needs a licensed person.

A price in the funnel

Small businesses increasingly expect to buy cover online, but few can yet. A 2017 PwC Strategy& survey of 2,100 small businesses found that fewer than a quarter had bought business insurance online, often because the options were limited. Among those likely to switch insurer within five years, 48% said they would prefer to buy online. Of those, only 10% expected to do so through a broker’s or agent’s site; most pointed to insurers’ own sites or comparison sites (PwC).

That last figure is the warning for brokers. Demand for digital buying is real, and if brokers do not offer it, insurers and aggregators will take the business direct.

The funnel answers by letting a prospect see prices from underwriting agencies and, once the remaining questions are answered, accept a firm quote under the broker’s name and licence. The design follows practices that keep a comparison honest:

• Quotes are listed by total price, lowest first, never by commission. No quote is labelled recommended or best value.
• Every quote shows the same key terms, at least limit and excess, so prospects compare like with like.
• The screen notes that the broker’s commission may differ by insurer, with a link to the Financial Services Guide.
• Acceptance records which quotes were shown, in what order and at what price, along with the wording and notice versions.
• Nothing binds until the broker confirms. Premium goes to the broker’s trust account or the insurer, never through the software provider.

This keeps the broker’s role intact. The prospect gets the speed of buying online; the broker still confirms the placement and gives any advice on which cover to choose.

Measure what binds

Most lead generation is judged by cost per lead. For insurance that is close to meaningless: a cheap lead that can’t be placed costs more than an expensive one that binds. Ad platforms reached the same conclusion some time ago. Google now asks lead-generation advertisers who measure offline outcomes to report qualified and converted leads, matched back to the original ad click using hashed customer details such as an email address or phone number (Google Ads Help). Bidding then optimises for the leads that turn into business, not for form fills.

The funnel builds on this in two ways.

First, it sends outcomes back to the ad platforms. Priced and bound leads are reported to Google Ads as qualified and converted leads, using hashed email and phone only, disclosed in the collection notice and privacy policy with an opt-out.

Second, it treats outcomes as the source of truth for its own reporting. Quotes, referrals, declines with reasons, binds, renewals and claims are joined back to the lead that started them. A broker can then see, for each industry, channel and campaign, the path from visit to bound premium, and how many leads have no recorded outcome. The metrics that matter are how complete a lead is when it reaches the broker, how often a market has to ask for missing information, time to first contact, price-to-bind rate, and cost per bound policy.

This is where an insurance funnel can do something general marketing tools can’t. A marketing platform sees clicks and forms. A funnel that sits on the same data model as the underwriting platform sees declines, binds and renewals, and can use them to drop questions that predict nothing and keep the ones that matter.

Compliance as design

A funnel that collects rating information and shows prices is a distribution channel, and Australian law treats it as one. Since 5 October 2021, retail insurance products need a target market determination, and both insurers and distributors such as brokers must direct products to that market. The same reforms strengthened the prohibition on hawking unsolicited retail insurance offers (Kennedys). From 10 December 2026, organisations must also say in their privacy policy where a computer program, rules-based or not, makes or substantially contributes to decisions that could significantly affect individuals, including differential pricing (Corrs Chambers Westgarth).

The common failure in digital distribution is to build the journey first and add compliance as text at the bottom of the page. A better approach builds the controls into the journey itself:

Two further choices matter. Page experiments may test headlines, layout and question order, but disclosure questions and compliance wording are never varied. And AI is used only inside defined steps: it can draft content from approved facts, extract information from documents for the prospect to confirm, or summarise a risk for the broker, but a licensed person approves any advice, offer, decline or statement about cover.

The point is not only to stay out of trouble. Consent records, target market checks and an audit trail are evidence a broker can show an insurer, a licensee or a regulator, and they are much harder to retrofit than to build in.

How it fits together

1. Trigger. An event such as a contract win or a licence renewal brings the prospect in and sets which products apply.
2. Price. A short set of questions, with pre-filled details confirmed, produces a price.
3. Bind questions. If the client wants to proceed, the remaining underwriting questions are asked and firm quotes are shown, lowest price first.
4. Confirm and bind. The broker confirms, then the policy binds.
5. Outcomes. Quotes, declines, binds and renewals feed back into which questions are asked and where leads go.

Each step supports the next: the trigger picks the products, the products pick the questions, a short first stage gets the prospect to a price, and recorded outcomes show which questions and routes lead to bound business.

What still has to be proven

The design follows good practice, but practice is not evidence. Four things are still open.

• Supply before demand. Prices in the funnel need underwriting agencies willing to quote for broker funnels, and agencies want to see volume first. Neither side moves until the other does.
• Acquisition cost. Paid search and social for small commercial lines is expensive. If conversion rates and policy sizes don’t cover it, faster pricing won’t save the economics.
• Like-for-like comparison. Ordering quotes by price is only fair if the covers are comparable. Showing key terms side by side helps, but material differences in wording still need a broker’s explanation.
• The regulatory line. The intended position is that the software provider supplies technology and the broker arranges and advises under its own licence. That needs legal confirmation for the whole journey, not just the software.

For these reasons the sensible order is one complete path before scale: one industry, one agency quoting firm prices, a real customer, a bound policy, and the economics recorded. Campaign automation and further industries come after that result, not before it.

A trigger-led funnel that prices first and asks the rest later is how insurance should be sold online. Whether it is also a good business depends on that first set of transactions.

Sources

• Oldroyd, McElheran and Elkington: The Short Life of Online Sales Leads, Harvard Business Review (2011)
• SmartCompany: Are you letting online leads go cold? (Jul 2011)
• Insurance Thought Leadership: Best Practices for ‘Trigger’ Marketing (May 2024)
• Venture Harbour: 5 Studies on How Form Length Impacts Conversion Rates
• PwC Strategy&: Understanding how small businesses buy and manage their insurance today
• Google Ads Help: Upgrade offline conversion import to enhanced conversions for leads
• Kennedys: Australian insurance regulatory reforms take effect on 5 October 2021
• Corrs Chambers Westgarth: Automated decision-making, preparing for the new transparency obligation

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