How do I measure whether our service agreements are actually worth it?

Why the built-in renewal report understates the program

Field service platforms report agreements as a subscription object: active count, upcoming renewals, lapsed count. That framing treats the dues as the product. For most operators the dues barely cover the maintenance visits they obligate you to perform.

The value is downstream. A member calls you first when something breaks, accepts recommended work at a higher rate because a technician has been in the home before, and is more likely to buy a replacement from you rather than shop it. None of that shows up in a renewal report.

The cohort comparison that answers the question

Group members by the month they signed up. For each cohort, sum every dollar of revenue from those customers over the following twelve and twenty-four months, including dues, maintenance, repair and replacement. Then build a comparison group of customers who were served in the same month, in the same trade and service area, and never joined.

Compare revenue per customer between the two groups at the same elapsed time. The gap is your agreement program's actual contribution. Do it by cohort rather than in aggregate, because a growing program dilutes averages — new members have not had time to buy anything yet, and blended numbers make a healthy program look flat.

• Dues revenue. Predictable, small, and the least interesting line.
• Pull-through revenue. Repairs and replacements sold to members. Usually the largest component.
• Retention effect. Members remain active customers longer, so the twenty-four month figure separates from the twelve month figure more than the non-member group does.
• Cost side. The maintenance visits you owe. Include labor and drive time or the comparison flatters the program.

The selection bias you have to acknowledge

Members are not randomly assigned. People who buy agreements were already more loyal, more maintenance-minded and often higher income. Some of the observed gap is selection, not causation. You cannot eliminate this without an experiment, but you can narrow it by matching the comparison group on prior service history — compare members against non-members who had a similar number of prior jobs, not against every one-time customer in the database.

Say the limitation out loud in the report. A program that looks strong under an honest comparison is more persuasive than one that looks spectacular under a rigged one.

What to do with the answer

If pull-through drives the value, the lever is which customers get offered an agreement and how, not the dues amount. That makes it a conversation and coaching question — measurable through call and visit analysis — rather than a pricing question. If retention drives the value, the lever is service delivery on maintenance visits.

Either way the analysis has to join agreement records, job history and revenue across time, which is more than the built-in reports do. That combination is the core of customer intelligence and it is where lifetime-value questions get answered honestly.