Data Quality

M&E Contracts: What "Planned Preventive Maintenance" Actually Costs You

PPM is supposed to reduce reactive spend over time. Most FM teams can't prove whether it does, because PPM and reactive M&E costs are never classified separately.

Data Quality22 June 20265 min read

Quick answer: Planned preventive maintenance is meant to reduce reactive repair costs over time. Most FM teams can't prove that trade-off exists in their own data, because PPM visits and reactive M&E callouts get invoiced by the same contractor, in the same format, with no consistent split between the two. Classify them separately and the ROI case for PPM either holds up or it doesn't.

The assumption everyone makes

PPM contracts are sold and renewed on the idea that regular scheduled maintenance prevents expensive breakdowns. That's a reasonable theory. It's rarely checked against actual spend data, because most FM teams don't have PPM and reactive costs classified separately in the first place.

Why the invoices don't help you check

A contractor invoicing both PPM visits and emergency M&E callouts has no particular incentive to make the distinction easy to see. Both get billed under the same contract, often in the same monthly statement, described in whatever language that contractor's system defaults to.

What happens once you can actually see the split

You can finally test the theory with your own numbers: is reactive M&E spend actually falling on sites with active PPM coverage, or is the contract just adding a fixed cost on top of the same reactive pattern that existed before?

Pearstop classifies M&E invoices into planned and reactive categories automatically, so renewing or renegotiating a PPM contract is based on what your own spend data actually shows, not what the sales pitch assumes.

Stephanie Wiechers

Stephanie Wiechers

CEO & Co-founder, Pearstop

Stephanie leads Pearstop's go-to-market and strategic direction. She works directly with procurement and FM leaders across Europe to understand how data quality affects margins, contracts, and AI readiness.

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