Reviewing Past Maintenance to Predict Future Needs

Most landlords operate in a reactive mode: something breaks, they fix it. But Landager's historical data empowers you to shift into a predictive mode, where you fix things before they break.

How to Analyze Your Maintenance History

1. Navigate to the Maintenance page.
2. Filter by Status: Completed to see only resolved requests.
3. Sort by Date or filter by Property to focus on a specific building.
4. For deeper analysis, export the data to Excel and use pivot tables.

Pattern 1: Seasonal Spikes

If you notice a cluster of HVAC requests every June and Plumbing requests every January:

• June (HVAC): Schedule preventive AC tune-ups in May. Replace filters proactively.
• January (Plumbing): Send tenants a winter pipe preparation notice in December. Insulate exposed pipes before the freeze.

Pattern 2: The "Money Pit" Unit

Sort your exported data by Unit. If Unit 3A has generated 15 maintenance requests in the past year while every other unit averages 3, you've identified a structural problem.

The cost-effective solution might be a comprehensive one-time renovation of Unit 3A rather than continuing to pay for individual band-aid repairs.

Pattern 3: The "Expensive" Vendor

Sort by Vendor and sum the total costs. If Vendor A charges consistently more than Vendor B for similar work categories, you have data to either renegotiate rates or switch contractors.

Pattern 4: The "Frequent Flyer" Tenant

As discussed in Tracking Maintenance by Tenant, some tenants generate far more requests than average. Before renewing their lease, review their maintenance tab to determine if the operational overhead justifies the rental income.

The ROI of Preventive Maintenance

An emergency HVAC repair in the middle of July typically costs 2–3x more than a scheduled tune-up in May. By investing 30 minutes monthly reviewing your Landager maintenance analytics, you can save thousands annually in avoided emergency call-out fees.