Rental and Lettings KPIs Template

The eleven KPIs in this template describe one cycle rather than one department. Registered / Actively looking counts the demand waiting at the front. Property Viewings counts the effort spent converting it. Average property letting time and Reletting time measure how long that conversion takes, and Actively let properties is what you are left with when it works. Read in that order they behave like a funnel, so a soft month in applicant registrations shows up in occupancy weeks later rather than on the same chart.

The rest of the set exists to explain the cycle when it stalls. Reported Defects, Early termination, Rent Arrear Evictions and Seeking Possesion Served are the failure modes, each small on its own and costly in combination. Average tenure of property says whether a let was worth the cost of arranging it. Property manager properties sits slightly apart: it is a capacity reading, and it tends to explain the other numbers rather than be explained by them.

These came from lettings professionals as a base set, not a finished strategy. Import all eleven, run them for a quarter, then drop the ones nobody brings up in a review. That is the intended use.

Negotiators and branch managers live in the top half of the set. Their question is what is sticking and why, which means Property Viewings and Average property letting time on the same view. Property managers work the bottom half: Reported Defects and Property manager properties answer whether a caseload is still safe to carry. Anyone handling landlord relationships reports from Actively let properties, Average tenure of property and Rent Arrear Evictions, because those three are what landlords ask about.

One role matters at import time: whoever owns each number. Viewings and registrations come out of the front office weekly. Arrears, tenure and defects usually land monthly from accounts or the job log. Assign an owner per KPI before you set a single target, or parts of the set sit empty by the first review.

Import the template without targets first. Enter two or three months of history, see where each KPI actually sits, then set a target one step better than that. Letting markets move with season, town and price point far too much for a generic figure to mean anything, and a target you miss from the start gets ignored soon after.

Direction beats absolutes across most of this set. Reletting time and Average property letting time want to fall. Average tenure of property and Registered / Actively looking want to rise. Rent Arrear Evictions and Seeking Possesion Served want to sit near zero, where any movement is worth a conversation rather than a threshold. Kip, the built-in AI, suggests starting targets and indicative benchmarks as history builds, but those benchmarks are AI estimates rather than real peer data, so use them to start the discussion, not to settle it.