A Simple Lead-Scoring Model for Financial Planners Whose Enquiries Vary Wildly in Quality

01 September 2026·5 min read

Quick answer: A simple lead-scoring model for financial planners weighs three things — how ready they are financially, how urgent their situation is, and how they found you — and turns that into a number that tells you who to call in the next hour and who goes into a nurture sequence. Below is the worked scorecard, three real enquiries scored against it, and the honest limits of scoring leads by formula alone. 🚀

Every financial planner we work with says some version of the same thing: "our enquiries are all over the place — some are ready to go, some are just kicking tyres, and we can't always tell which is which fast enough." A lead-scoring model doesn't fix that entirely, but it turns a gut feeling into something your whole team can apply consistently. Here's how to build one without overengineering it. 💖

What most practices get wrong

Treating every enquiry the same — a $2M inheritance enquiry and a "just wondering about super" DM get the same response time and the same follow-up, which wastes effort on both ends.
Scoring on gut feel only — without a shared framework, the adviser who answers the phone that day decides who's "worth chasing," and that's inconsistent by definition.
Overbuilding it — some practices try to build a 20-point scoring matrix in their CRM and nobody ever fills it in properly. A model only works if it's simple enough to use every time.
Scoring and forgetting — a lead score that isn't tied to an actual next action (call within an hour vs added to a drip sequence) is just a number sitting in a spreadsheet.

The simple lead-scoring formula

Score every enquiry out of 9 across three categories, then act on the total.

Readiness (0-3): 3 = has a specific trigger event (inheritance, sale, redundancy, upcoming retirement) and a rough figure in mind. 2 = knows they need help but no specific trigger yet. 1 = early research phase, comparing options. 0 = unclear what they actually want.

Urgency (0-3): 3 = time-bound (settlement date, EOFY, retirement date, court deadline). 2 = wants to move in the next 1-3 months. 1 = "sometime this year." 0 = no timeline given.

Source quality (0-3): 3 = referral from an existing client or professional partner (accountant, solicitor). 2 = booked a call directly off your website or a webinar. 1 = downloaded a lead magnet or filled a generic contact form. 0 = cold inbound from a broad ad with minimal detail.

Total 7-9 — call within the hour.
Total 4-6 — call within 24 hours, send a value-add resource alongside.
Total 0-3 — add to a nurture sequence, no rushed call.

Three real examples, scored

Financial planning practice — inheritance enquiry: A referral from an existing client's accountant, mentions a settlement happening "in the next few weeks," has a rough figure. Readiness 3, Urgency 3, Source 3 — total 9. This gets a same-day call, full stop.

Accounting firm — general super question: Booked a call off the website after reading a blog post, asking general questions about consolidating super with no specific trigger or timeline. Readiness 1, Urgency 0, Source 2 — total 3. This goes into a nurture sequence with educational content, not a same-day call that pulls an adviser off a higher-value task.

Physio clinic owner — practice sale planning: Filled out a generic contact form after seeing a Google ad, mentions selling the clinic "within 12 months" but no other detail yet. Readiness 2, Urgency 2, Source 1 — total 5. A 24-hour call with a relevant resource attached (not a rushed same-day call, not a cold nurture drop) fits this one well.

How to make this stick day to day

Put the scoring criteria somewhere everyone who answers enquiries can see it — a pinned CRM note, a printed card by the phone, whatever gets used. Score the enquiry the moment it comes in, before the first call, based only on what's in the enquiry itself. Don't let the call change the score after the fact — that defeats the point of triaging before you've invested time. Review the outcomes quarterly: are your "9s" actually converting at a higher rate than your "3s"? If not, your weightings need adjusting for your specific client base.

💡 Heads up: A lead score tells you who to prioritise, not who to ignore. A low-scoring enquiry today can be a high-value client in two years once their circumstances change — the nurture sequence exists precisely so you don't lose them, you just don't burn same-day-call energy on them yet.

Mistakes that quietly break a scoring model

Too many categories — three is plenty. A model nobody fills in accurately is worse than no model.
No tie to a real next action — every score band needs a defined response time and next step, or the number is decorative.
Ignoring source quality — a warm referral and a cold ad click are not the same enquiry even with identical readiness and urgency, and treating them the same undersells your best channel.
Never revisiting the weightings — what counts as "high urgency" for an estate planning practice looks different for a practice focused on young professionals. Copy the framework, not the exact numbers, without checking it fits.

Frequently asked questions

Can this replace a proper CRM workflow?

It works best sitting inside one — the scoring logic can usually be built as a CRM field or automation, but even a manual version on a spreadsheet is far better than no system at all.

What if two enquiries land on the same score but feel very different?

That's normal and expected — a simple three-category model won't capture every nuance of a real enquiry, and it shouldn't try to. Treat the score as a strong starting signal, not a verdict that overrides your judgement on an unusual case.

Does a high score guarantee the enquiry converts?

No, and that's an important honest limit here — scoring measures readiness signals at the point of enquiry, not the outcome of the conversation that follows. A "9" can still fall through if the follow-up is poor; a lead-scoring model manages your time, it doesn't manage the sales conversation itself.

How often should we adjust the scoring criteria?

Review it quarterly against actual conversion data for the first year, then annually once it's settled. If a category consistently doesn't predict who converts, it's not pulling its weight and can be simplified or dropped.