Lead conversion rates: what to expect

Lead conversion rates are the most quoted figure in this business and the worst defined. Two companies announcing the same number are almost never measuring the same thing, which makes comparison useless.

The short answer

• A rate means nothing without its denominator: records received, records reached, or records eligible.
• Orders of magnitude vary by a factor of five between families of sector, at identical source quality.
• Five factors explain most of the spread, and four of them are yours, not the supplier's.
• A rate that rises while volume falls is not an improvement, it is a filter.
• No supplier can guarantee a rate, because it depends on your team.

What lead conversion rates actually measure

The formula looks obvious: deals signed divided by records received. The problem is that almost nobody applies that one, because it produces modest numbers people would rather not publish.

Three denominators circulate, and they tell different stories.

• On records received. The only rate that measures your real profitability, since you paid for all of them, including those you never reached.
• On records reached. It measures your sales conversation, with reachability neutralised. Useful internally, misleading externally.
• On records eligible. It measures your ability to convert a workable file. The most flattering figure, and the one most often quoted.

The ratio between the first and the third frequently exceeds three. When a peer quotes thirty per cent, the first question is not how, it is on what.

Orders of magnitude by family of sector

The ranges below are read on records received, with a voluntary enquiry as the source and competent handling. They are there to situate you, not to be compared to a decimal place.

The gap between the first and last row has nothing to do with the quality of the records delivered. It comes from the length of the cycle and the number of chances to lose the file along the way. An installer comparing their rate with an insurance broker's is comparing two different trades.

The five factors behind the spread

At identical source, two companies in the same trade can show a fourfold difference. Here is where it comes from, in order of impact.

Call-back time. The first factor, and the only one entirely in your hands. It deserves its own treatment, covered in lead call-back time.

Number of attempts, and their spread. Three calls across three different times of day reach markedly more people than six calls on the same morning. Most teams give up after two attempts made close together.

Quality of the first exchange. A first call that confirms eligibility and sets the next step converts better than one attempting to sell. In trades requiring a visit, the objective of the phone is the appointment, nothing else.

Number of buyers per record. In a shared model the same prospect receives several calls. The rate falls mechanically, without the quality of the contact being at fault.

Traffic origin. A contact from an active search on Google Ads arrives with a formed project. A contact from an advertisement on Meta was interrupted, and the need has to be re-established first. Both sell, at different speeds and with different scripts.

The trap of the shrinking denominator

This is the most common management error, and the most expensive.

You tighten your eligibility criteria, you discard more files, and your conversion rate rises. Everyone congratulates themselves. Except that you paid for the discarded records, and your cost per signed deal may have risen while your rate improved.

The rate alone therefore settles nothing. It is read together with signed volume and cost per acquisition, the CPA. Three figures, never one. A rate that climbs while the number of deals falls is a warning, not progress, and it is exactly what an over-severe filter produces.

What exclusivity really changes

An exclusive record converts better than a shared one at equal quality, and that is the main justification for its price. But exclusivity covers the resale of the contact, not commercial exclusivity: your prospect may have approached three companies independently, which nobody can guarantee against.

The practical rule is to reason in cost per deal, not price per record. An exclusive record at twice the price that converts three times better remains the better buy, and the reverse occurs just as often. That calculation is developed in what a qualified lead costs.

Worth noting, because it surprises people: asking for more volume generally pushes the cost per record up, not down. The cheapest advertising inventory runs out quickly, and finding additional volume means widening the territory or bidding higher. So a rate that degrades as you scale up is half normal.

Tracking your rate without fooling yourself

Four conditions make the measurement usable. Without them you will be tracking noise.

• A written denominator, chosen once and never changed mid-course.
• Segmentation by source. A global rate mixes suppliers and channels whose performance differs, and hides the one causing the problem.
• A window matched to the cycle. Counting signatures over thirty days in a trade where deals take three months understates everything, mechanically.
• Enough volume. Below fifty records per source, variance dominates and two consecutive weeks can say anything.

The tracking lives in the CRM, not in a spreadsheet filled in by hand. A spreadsheet gets updated while the results are good and stops when they are not, precisely when it becomes useful.

What no supplier can guarantee

A guaranteed conversion rate is a warning sign, not a selling point. The rate depends on your call-back time, your script, your availability and your offer, none of which a supplier influences.

What can be committed to is verifiable: the origin of the traffic, the number of buyers per record, the delivery time, the presence of proof of consent, which the rules applicable where you call now make a condition of the call itself, and a written replacement policy. Those five are detailed in choosing a lead supplier.

The weighting varies by trade: call-back time dominates in remote monitoring or health insurance, where the first caller takes the deal, while precision of qualification comes first in solar panels, where one pointless trip costs more than several records.

Frequently asked questions

What conversion rate should you aim for on purchased records?

The one your trade allows, not a neighbouring sector's. Situate yourself in the right family first, then improve against your own figures from last month. A target borrowed from another vertical demoralises a team without telling it what to fix.

Does a low rate mean the records are bad?

Not necessarily, and the diagnosis has an order. Look first at reachability, then at the share outside your criteria, then at the share who do not remember enquiring. The first figure is about your organisation, the second about your targeting, and only the third about the source.

How long before you can judge a new source?

Fifty records at minimum, over a period covering your sales cycle. Below that you are measuring luck. Fix the success criteria before you start, or the conclusion will be negotiated afterwards.

Should each salesperson have their own rate?

Yes, and it is often the most instructive table. A persistent gap between two people on the same source is not fixed by changing supplier. Watch the assignment, though: if records are not distributed at random, the gap measures the distribution as much as the people.

Should the rate be written into the contract?

No. What gets contracted is what the supplier controls, such as delivery time or exclusivity. A rate commitment always turns against you at the moment of the argument, because it requires proving the fault lies with the source rather than with your handling.

Going further

The general framework is in buying qualified leads. On what qualified covers, and the criteria that make a file workable, see qualified lead, definition and criteria.