What close rate should an outbound sales floor expect, and how do you calculate it?
No outside figure will tell you, because close rates move with the product, the lead source, the age of the lead, the definition of a sale and the denominator. Calculate it as sales divided by leads reached in a real conversation with the right person, each lead counted once, using your own definition of a sale. Then compare your floor with itself, by type of lead, and compare agents only on the same kinds of leads.
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There is no honest single benchmark
"What close rate should we expect?" is a common question among telesales agents and floor managers. Insurance agents ask it about live transfers and final expense leads, and floor managers ask it about whole campaigns. The honest answer is that an outside number will not tell you much, for four reasons:
- The product. A renewal offered to an existing customer and a new policy sold to a stranger are different sales.
- The lead source and the lead’s age. A buyer who asked for a call yesterday is not the same as a name on a list bought months ago.
- The definition of a sale. An application taken on the call, a policy that survives cancellation, or a booked appointment. What counts as a sale.
- The denominator. Sales per dial, per contact, per lead or per first call give very different numbers on the same floor in the same week.
Published figures show the problem. A MaxContact survey of 167 UK contact centre leaders running outbound sales teams, carried out in May 2024 and republished by Call Centre Helper, reported a mean first-call close rate of 27.81% and a mean success per call rate of 6.74%. The article does not say how either measure is calculated, so a reader cannot tell what each one counts. Another Call Centre Helper article on outbound metrics gives a wide range of conversion rates by sector and lead quality without naming where the range comes from. Neither is a benchmark for your floor.
Pick the denominator before you pick a target
| Close rate per | What it counts | What moves it |
|---|---|---|
| Dial | Sales divided by every call attempt | Lead data, dial volume, answer rates, as well as selling |
| Contact | Sales divided by leads reached in a real conversation with the right person | Mostly the conversation: who has it and how it goes |
| Lead | Sales divided by every lead worked | Lead quality and contact rate as well as selling |
| First call | Sales made on the first conversation divided by first conversations | Selling, and whether the product suits a one-call close |
For judging selling, use sales per contact. It strips out the contact rate, which depends on dial volume, data and calling hours, and leaves what happens once someone picks up. Keep sales per lead next to it as the business number, because it shows what the whole lead spend returned. More contacts or better conversion covers how to tell which one is holding you back.
How to calculate it on your own floor
- Define a contact from your own dialer or CRM outcome codes: a real conversation with the person who can say yes. Count each lead once, however many calls it took.
- Define a sale and write it down. Use the outcome the business is paid on.
- Fix the group of leads. Take the leads first worked in a given period and follow them, rather than mixing this week’s sales with last month’s leads.
- Wait for outcomes to settle. A sale that has to survive a cooling-off period is known only once that time has passed.
- Split it by type of lead: source, product, lead age, new or existing customer.
- Weigh the value. Sales per contact, the value of sales divided by leads reached, shows whether bigger sales are being closed as well as more of them. What contact-to-sale conversion is.
For the collections versions of these rates, see how RPC, promise-to-pay and kept rates are calculated.
What a good close rate looks like for you
The comparison that means something is your floor against itself: the same kind of lead, month on month, after any change you make. A rise on one lead source tells you more than a floor-wide number set against another company’s survey.
The same goes for agents. A raw leaderboard mixes each agent’s selling with the leads they happened to get. Compare agents within each type of lead, and ignore any cell with too few contacts to tell skill from luck. In our view this is where most floors find that their agents’ order changes from one kind of lead to the next, which is the observation predictive pairing is built on. Why some agents close more on the same leads.
If you change anything, from the script to the lead routing, measure it against a control group run in the same weeks, not against last quarter’s close rate. How to prove a lead routing change worked.
Sources
- Boosting Your Contact Centre Sales Performance (Call Centre Helper, June 2024): MaxContact’s survey of UK outbound sales leaders, republished as a guest blog.
- Key outbound call centre metrics (Call Centre Helper, February 2025): an article by Scorebuddy on outbound metrics, including conversion rate.
Common follow-up questions
Is first-call close the same as close rate?
No. First-call close counts only the sales made on the first conversation, so it leaves out every sale that took a follow-up call. It is worth tracking as its own number, especially if your product is meant to sell in one call, but it is not the whole close rate. Say which one you mean whenever you report it.
Why did our close rate fall when we bought more leads?
Usually because the new leads were different: another source, older, or less ready to buy. A floor-wide rate mixes every kind of lead together, so a change in the mix moves it even when nobody sells any worse. Split the rate by lead source and lead age before you read anything into the drop.
Should we rank agents on close rate?
Only on the same kinds of leads, and only once each agent has enough contacts for the number to mean something. An agent who works mostly fresh, warm leads will out-close one who works aged leads whatever their skill. Compare within each type of lead, on sales per contact.
Where to next
How it works
See what BestPair does
Which agent works each lead or account, decided from your own floor’s history. People make every call; the dialer, scripts and offers stay as they are.
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How to prove a routing change worked
Split leads at random, run both ways in the same weeks and compare. Written for collection floors; the method is the same for sales.
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