What is a good close rate in door-to-door fiber sales?

It depends entirely on the denominator. Measured per knock, a solid fiber rep closes in the low single digits, because most knocks are not-homes. Measured per real conversation, the same rep closes a meaningful double-digit share. Any close rate quoted without saying what it divides by is a marketing number, not an operating one.

Why do fiber sales close rates vary so much between companies?

Mostly because they are measuring different things. One team divides orders by every door knocked, another by doors that answered, a third by conversations that lasted more than a minute. The same day of selling produces three very different percentages. Compare rates only after matching definitions, and insist the numerator is orders actually entered in the provider's system, not orders a rep remembers writing.

Fiber Sales Close Rates: What's Real and What's Marketing

Rep Performance

A close rate is meaningless until you know what it divides by. Take one ordinary day: 100 knock attempts, roughly 19 real conversations (our August 2026 canvass telemetry), and 3 orders. That day is a 3% close rate per knock, around 9% per answered door, and about 16% per conversation. All three are true. Fiber D2D marketing tends to quote the biggest one without the label. Operators quote the denominator first, then the rate, and then pull the knock log the rate came from.

One day, three close rates

At a typical 30-45% answer rate, 100 knocks put somebody at the door perhaps 35 times. Not every answered door becomes a conversation; a fair number are a polite “no thanks” through a cracked door. In our own early canvassing telemetry (August 2026 window), about 19% of knock attempts became actual homeowner conversations (methodology). Three orders from that day gives you:

Per knock: 3 ÷ 100 = 3%
Per answered door: 3 ÷ 35 = roughly 9%
Per conversation: 3 ÷ 19 = roughly 16%

Same rep, same street, same three signatures. The only thing that changed is the denominator. When a recruiter tells you their reps “close 40%,” ask what the 40 is a percentage of. Usually it is a percentage of qualified conversations after the rep has already screened out renters, existing customers, and people leaving for work, which is a small and flattering bucket.

Which denominator answers which question

Per knock tells you what a territory is worth. It bakes in not-homes, timing, and neighborhood density, so it is the number you use to forecast orders from a serviceability file and to decide when to move a team. It is also the harshest-looking rate, which is why it rarely appears in an ad.

Per answered door isolates the approach. If reps are getting doors opened but conversations are dying in the first ten seconds, this rate drops while the answer rate holds. That points at the opener rather than the pitch (the approach).

Per conversation is the coaching rate. It measures what a rep does once someone is actually listening: discovery, pitch, objections, close. Two reps with identical knock counts and identical answer rates can be a full order apart per day on this number alone.

Track all three. Coach on the one that moved.

The numerator lies too

The top of the fraction can be inflated as easily as the bottom can be shrunk. An order counted at the door but never entered, a callback logged as an order, a “they said yes, I’ll go back tomorrow” that never gets gone back to: all of them fatten a close rate and none of them are customers. Define an order as an order entered in the provider’s system the same day, with payment details on file and the appointment window on it, and the numerator gets honest.

That definition is where most close-rate claims quietly fall apart. A team that counts promises posts a flashy doorstep rate and a cancellation problem the ISP notices fast. Report the rate alongside the raw counts it came from, knocks and conversations included. Rates without counts are how a good week turns into a claim (benchmarks).

What real fiber production looks like

Rates are abstractions; orders per day is what the leaderboard shows. Across our 2026 blitz deployments the format averaged 3.3 orders per rep per selling day, and the best sustained deployment of the year, averaged over a month, ran 4.5. Put those against 80-120 daily knocks and typical conversation counts and you get per-knock close rates in the low single digits and per-conversation rates in the teens for good reps, higher for the best ones on their best days.

Benchmarking a team without fooling yourself

Write the definitions down. What counts as a conversation? Thirty seconds? A completed discovery? Pick one, put it in the canvassing app’s disposition list, and audit it. Our KPI definitions exist mostly to end this argument.
Log every knock, including not-homes. A rep who only logs conversations has a 100% answer rate and a fantastic per-knock close rate, and none of it is information.
Compare like with like. Launch-week territory closes differently than a third pass through the same streets in month four. Segment by market age before you rank reps.
Keep the raw counts in the same view. A close-rate improvement that arrives with a knock-count decline is a rep who stopped logging not-homes, not a rep who got better.

How a marketing close rate gets made

The recipe is consistent. Start with conversations instead of knocks. Drop the ones that “didn’t qualify.” Count promises as orders. Pull the window from the best week of the best rep in the best market. You can build a 40% close rate out of a perfectly ordinary team that way, and you can also build a bad hire, because the rep who joins expecting that rate quits in week three when reality shows up at 3 per 100. Quote the small number with its denominator. The people worth hiring will respect it.

This article is part of the Fiber Sales Academy. For the full picture, start with the complete guide to door-to-door fiber sales.