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Conversion

Lead-to-qualified conversion rate

The share of leads that survive qualification — and how to tell a real change from the noise of a small sample.

Formula
qualified leads / leads
Unit
Percentage
Direction
Higher is better
Across periods
Recomputed from totals, never averaged
In KO
crQl

CR QL is the share of incoming leads that pass qualification. It is the first honest measure of traffic quality: volume tells you how many people responded, this tells you how many were worth responding to.

It is also the metric most often read from samples far too small to support the reading.

The formula

CR QL = qualified leads / leads × 100%

400 leads, 120 qualified → 30%.

Rising CR QL at flat volume means the traffic got better or the offer got sharper. Rising CR QL at falling volume usually means a channel was cut — you removed the worst leads, and the rate improved while the business got smaller. The rate alone cannot distinguish those; read it next to the absolute counts.

Read it with the sample size, not without

A conversion rate is an estimate from a sample, and small samples move on their own. At 30% measured on 40 leads, the 95% interval is roughly:

p ± 2 × √( p(1−p) / n )
0.30 ± 2 × √( 0.30 × 0.70 / 40 )  =  0.30 ± 0.145

That is 15.5% to 44.5% — a range wide enough to contain almost any story you want to tell. On 400 leads the same 30% narrows to about 25.4%–34.6%. On 40 leads, a drop from 30% to 24% is indistinguishable from nothing happening.

Two consequences worth acting on:

  • A weekly CR by channel is usually noise. Split 400 monthly leads across five channels and four weeks and most cells hold single digits. Comparing them ranks the randomness.
  • The winner of a small comparison is often just the smaller sample. The channel with 9 leads and 4 qualified (44%) has an interval spanning roughly 11%–77%. It is not beating the channel at 30% on 300 leads; it has not been measured yet.

KO reports a 95% interval on the visit-to-lead conversion rate today (crmCrl_min / crmCrl_max, computed with the formula above). The same arithmetic applies to any stage rate — including this one — and it is worth doing by hand before acting on a small cell.

What it does not show

It does not carry across companies. Qualification is your rule. A 30% CR QL where qualification means “answered the phone” and a 30% where it means “budget confirmed with a decision-maker” describe entirely different businesses. Published benchmarks for this metric measure someone else’s rule, which is why you will not find one on this page.

It does not distinguish traffic quality from sales effort. The rate falls when the audience gets worse and when the team stops calling back within the hour. Both look identical here; separating them needs response time and per-owner rates, not this number.

It cannot see the leads that never arrived. A channel with a superb CR QL may be capped at a tiny audience. Optimising for the rate pushes budget toward the narrowest, highest-intent segment — which is correct right up to the point where it covers too little of the market to matter. A channel converting brilliantly on 4% of your pipeline is a statistic, not a lever.

How it breaks

The denominator includes what was never a lead. Spam form fills, tests, duplicates and bot submissions all sit in the denominator and never qualify. CR QL then measures your form hygiene as much as your traffic, and “improving” it may just mean the spam filter started working.

Qualification lag. Leads from the last few days have not been worked yet, so the current period’s rate is always understated and rises by itself as the backlog clears. Comparing a partial period against a settled one produces a decline that is not there.

Averaging rates. A quarter’s CR QL is Σqualified / Σleads, not the mean of the three monthly rates. Averaging weights a 20-lead month equally with a 2,000-lead one.

A moved definition. When sales changes the qualification rule, the rate steps up or down on the day of the change with no cause upstream. Any trend line spanning that day is comparing two different metrics.

How KO calculates it

crQl is a derived metric — qualified / leads, recomputed from summed inputs at every level of a report rather than averaged from the rows beneath it. With zero leads the result is empty (—), not 0%.

What counts as qualified comes from your CRM stage mapping. KO flags projects where no stage is classified as qualification, and treats stage rates as uncomputable until it is — an unmapped funnel produces missing numbers rather than plausible wrong ones.