Context Theory Get your growth audit

Solution

Which enquiries get a person, decided the same way every time

Contact inside five minutes makes qualification 21× more likely. Most businesses decide who to call by who happens to be free.

The cost of a lead is not the cost of the click. In the most expensive tracked category a single lead costs $131.63, and the business that bought it decides who to call by scanning an inbox in the order things arrived. Enquiries that describe a real timeline sit behind enquiries that describe nothing, and the sorting is done by whoever is least busy.

Contact inside five minutes makes a lead 21× more likely to qualify, and qualification is a scoring decision rather than a conversation. Scoring what the enquiry already told you — the timeline language, the source, the property or job type, whether a number was named — puts the right ones in front of a person while that window is still open.

The rules are yours. They fit on a page of plain English, they are applied identically at nine in the morning and nine at night, and any of them can be changed in an afternoon. Nothing is hidden inside a model, and every score arrives with the rule that produced it attached.

What it is.

Every inbound is scored on what it actually said and where it came from, before anyone reads it. High-intent enquiries route to a person with a deadline; the rest enter a sequence that keeps them warm without spending anybody's morning. The rules are written in plain English and versioned when they change.

Whether you need it.

Observable in your own business, without an audit.

  • Two people in the business would rank the same ten enquiries in a different order.
  • Your best month came from a source you cannot name without exporting a spreadsheet.
  • Portal enquiries and referrals land in the same inbox and receive the same treatment.
  • Somebody senior spends the first part of the day deciding which enquiries are worth answering.

How it gets built.

In order
Stage What happens, and why in this order
Read what already happenedPast enquiries are sorted by what they became. The pattern separating the ones that turned into customers is usually two or three fields rather than a dozen, and it is almost never the field the business assumed it would be.
Write the rules downEach signal becomes an explicit rule with a weight: source, timeline language, service or property type, whether the person named a figure. Plain English, reviewed by you, versioned when it changes, and short enough that you can hold the whole thing in your head.
Route by score, not by arrivalHigh scores go to a person with a response deadline. Middle scores enter a sequence and a weekly review. Low scores receive an honest acknowledgement rather than a call that nobody was going to make and everybody was going to feel guilty about.
Review the misses monthlyThe enquiries that scored low and bought anyway get read back into the rules every month. A qualification system that never revises itself becomes a formal way of ignoring the same kind of customer repeatedly, which is worse than no system.

Qualification is worth exactly what the leads cost. A business paying a few dollars for a click can afford to answer everything with the same energy and let the conversation do the sorting. A business paying at the top of the tracked range cannot, and the sorting decision is made anyway — it is simply made implicitly, by whoever picks up the inbox, using criteria nobody has written down and nobody can review.

The first argument this page makes is that the implicit version is the expensive one. It is inconsistent between people, it drifts week to week, it cannot be improved because it was never stated, and it silently encodes whatever the person sorting happens to find interesting. Writing the rules down does not make them right. It makes them arguable, and an arguable rule improves.

The second argument is about timing. The value of qualification collapses with delay, because the qualified lead is worth having only while they are still deciding. A perfect scoring model applied the following afternoon has sorted a set of people who have already chosen somebody else. That is why scoring runs on what the enquiry itself contains rather than on enrichment that requires a lookup, a call or a form: the fields available at arrival are the only fields that arrive in time to matter.

In practice the useful signals are unglamorous. Whether the person named a date. Whether they referenced something specific on your site. Which source sent them. Whether the message is three words or thirty. Almost every business that goes through this expects the winning signal to be budget and discovers it is timeline language, because a buyer with a date has made a decision and a buyer with a budget has made an estimate.

The honest limit is that a score is a prediction, and a prediction made from a small history is a weak one. For a business with a few hundred past enquiries the rules will start close to industry convention and will only become genuinely yours after a few months of correction. That is why the monthly review of the leads that scored low and bought anyway is part of the build rather than a nice-to-have: it is the only mechanism that makes the system yours rather than mine.

What this will not do.

  1. will not tell you a lead is worth calling before any human has read it

    will put the enquiries matching your own historical pattern at the top of the queue, with the reason shown

  2. will not disqualify anybody silently

    will keep every low-scoring enquiry in the system with its score and its rule visible, so a wrong call can be seen and corrected

  3. will not work from a model you cannot inspect or overrule

    will use written rules you approved, in plain language, versioned each time they change

  4. will not improve a definition of a good lead that was wrong to begin with

    will make that definition explicit enough to argue with, which is usually where the disagreement was hiding

Questions this raises.

Does this use AI to score leads?

Where a language model reads the free-text part of an enquiry, it extracts stated facts — a date, a location, a service — and those facts feed the written rules. The score itself comes from rules you approved. A score you cannot explain to the person you did not call is not a score you should act on.

What happens to a lead that scores low?

It gets a genuine acknowledgement and enters a slower sequence, and it stays fully visible in the system with its score attached. Nothing is deleted or hidden, because the point of the monthly review is to find the ones the rules got wrong.

We only get a handful of enquiries a week. Is this worth doing?

Probably not as an automated system. At that volume the useful part is the written definition of a good lead and the routing rule that follows from it, which takes an afternoon and no software. I will say so rather than build something that formalises a decision you are already making well.


Where this runs.

Systems like this are built and operated under a retainer. Which one applies, and whether this is the right system to build first, is what the audit decides.

METHOD

Every figure below carries its source and the date it was verified. Nothing on this page is asserted.

The numbers on this page.

Datapoints
What Value Specific to
Odds of qualifying a lead — replying within 5 minutes vs within 3021×This page
Cost per lead at the top of the tracked range — attorneys and legal$131.63This page
Teams responding to an inbound lead within 5 minutes7%Category-wide
All-industry average search CPC$5.42Category-wide

Oldroyd, J. B. — MIT / InsideSales.com Lead Response Management Study (2007) · the drop between the two marks, not an absolute likelihood · verified

LocaliQ / WordStream Search Advertising Benchmarks 2026 · Google + Microsoft Ads, 20 industries · Apr 2025–Mar 2026 · verified

2026 speed-to-lead benchmark · range ~5% FinTech to ~15% RevOps · verified

Start with the measurement.

Reading about a benchmark is not the same as knowing your own number. The audit produces yours, measured rather than estimated.

Get your growth audit

$497 · delivered in 5 business days · credited against month one