Pest control cancellation rate: how fast your book is leaking and whose fault it is

How to calculate it

Cancellation rate is cancellations divided by active customers over a period, as a percent. Cancel 15 accounts in a month while carrying 1,000 active customers and your monthly rate is 1.5 percent. That is the whole formula. The arguments are all about what you count, so settle three things up front:

• Date the cancel to when the customer actually left, not when the office got around to the paperwork. A cancel logged two months late lies to you about which month went wrong.
• Count customers, not subscriptions. One house dropping two services is one unhappy customer, not two.
• Track the dollars next to the count. Ten $40 accounts and ten $200 accounts are both "ten cancels," and they are not remotely the same week.

Monthly versus annual, and why people mix them up

A monthly cancel rate always looks small. That is the trap. A 1.5 percent monthly rate sounds like a rounding error and compounds to roughly 17 percent of the book gone in a year. When somebody quotes you a cancel rate, the first question is over what period, because the same leak sounds ten times better stated monthly.

The published benchmarks are annual, and they are retention flipped upside down. Kemp Anderson of Kemp Anderson Consulting, writing in PCT Magazine, puts healthy residential retention at 82 to 87 percent and commercial above 94. Turn those around: a good residential shop still loses 13 to 18 percent of its customers a year, and a commercial book should lose less than 6. Worse than that and you do not have a sales problem. You have a bucket problem.

Reading cancels per tech without being unfair

Here is where owners get it wrong. A big share of cancels are customer-driven: they moved, money got tight, they decided the problem was solved and they were done paying for it. Hang those on whichever tech happened to run the route and you are punishing somebody for the housing market. They notice, and they stop trusting every number you show them after that.

The fair read is the pattern, not the incident. One tech above the branch line for a month is noise. The same tech above the line for a season is signal, and the cause is usually upstream: rushed service, no note left, a customer who never heard from anyone between visits. On a technician scorecard, keep cancels at a low weight or show them without scoring them, and put the coaching weight on things a tech actually controls.

How to actually bring it down

The best published data on this is blunt. Kemp Anderson, in PCT Magazine, finds that 91 percent of cancellations can be controlled and prevented, and the most common reason customers cancel, at 62 percent, is feeling the company no longer views them as a priority. Not price. Not bugs. Feeling forgotten.

Which points the fix away from discounts and toward attention:

• Set expectations at the sale. A customer promised the impossible cancels right on schedule.
• Make the visit visible. Knock, talk, leave a note about what was done and what was found. A service nobody saw might as well not have happened.
• Fix quality fast. This month's climbing reservice rate is next month's climbing cancel rate.
• Call at-risk accounts before they call you. Aging balances and skipped services are cancellations in progress.
• Log a reason on every cancel. You cannot fix a leak you have not located.

Common questions