Ask for the junk share of a property manager's inbound inquiries and you get vendor call-scoring benchmarks, not a neutral series anyone can reproduce. The nearest federal figure counts the other side of the transaction: the FTC identified nearly 65,000 rental scam reports and about $65 million in reported losses between January 2020 and June 2025.
Why Isn't There One Verified "Junk Lead" Percentage?
Because "junk" bundles three failure modes, and each gets measured on a different denominator. Scams surface as consumer complaints, filed after the money is gone. Duplicates get matched inside each company's CRM, and the rate stays there. Unqualified renters get screened inside your own workflow, which never reaches a complaint form. The nearest published percentage belongs to a vendor: a leasing-software company published a quarterly report card scoring inbound prospect calls at the communities it serves, including how often no appointment was set because the caller wasn't qualified. That's a private book, and its denominator is scored phone calls, not the inquiries landing from four listing sites at once. Our guide to stopping rental listing scams covers the renter-facing side of the same FTC data.
What Does the FTC Actually Publish on Rental Scams?
A rental-specific total, since December 2025. Its Data Spotlight on rental scams reports nearly 65,000 reports and about $65 million in losses filed from January 2020 through June 2025, median loss $1,000. Its platform split is scoped to a narrower window: in the 12 months ending June 2025, about half of the people who reported a rental scam said it started with a fake ad on Facebook, and 16% on Craigslist. Read the method before borrowing it: the FTC found those reports with a text-classification model over Consumer Sentinel narratives, and every one is a consumer who lost money, the far side of your leasing inbox. The Consumer Sentinel Data Book has no rental-listing line of its own; its nearest entries are a "Housing" fraud subcategory and an "Apartment or House Rented" identity-theft subtype. Neither bounds a percentage of your leads.
How Do the Three Junk Buckets Compare?
Each bucket has a different cause, a different fix, and a different kind of evidence behind it.
| Bucket | What it looks like | Root cause | Evidence on its size |
|---|---|---|---|
| Scam | Fake landlord collects a deposit before a showing | Impersonation, no identity check | FTC, Jan 2020 to Jun 2025: ~65,000 reports, ~$65M in losses (consumer reports, not inquiries) |
| Duplicate | Same renter inquires 2 to 4 times | No cross-channel match before a new lead is logged | Matched privately inside each CRM; the rate isn't published |
| Unqualified | Real renter, income below the bar | Income screened after intake, not before | A vendor's quarterly call-scoring benchmark; denominator is scored phone calls |
Two of the three are your intake's problem rather than a regulator's, which is why the FTC's products don't reach them. So the only percentage that will ever be true for your portfolio is the one you count yourself, over one month, in those three columns.
How Do You Catch Junk Before It Costs You a Showing?
All three get expensive at the same moment: a showing slot goes to someone who was never going to sign. So screen at first contact, not after. Verify identity before granting self-showing access: that same FTC spotlight describes scammers copying listings "from landlords who use self-tour services," then sending a renter "a code (or tell you how to get one) to open a lockbox holding the keys." An ID check before that code goes out breaks the chain. Ask for income range in the same conversation, so an unqualified renter self-selects out before a slot is booked. And match new inquiries against open conversations by phone or email, so one renter across three listing sites counts once.
LetHub's AI answers every rental inquiry in about 30 seconds by text, chat or phone, 24/7, and verifies identity with a bank-level check before a self-showing unlocks, closing that door inside the first conversation and giving you a clean count of what arrived. See it on a live call.
Frequently Asked Questions
What percentage of rental leads are scams?
The FTC's rental figure isn't a lead share: nearly 65,000 reports and about $65 million in losses from January 2020 through June 2025, median loss $1,000, all of it consumers who lost money. Its Consumer Sentinel Data Book has no rental-listing line either. Count your own rate over one month instead.
Does the FTC track rental scams at all?
Yes, since December 2025. A Data Spotlight found rental scam reports by running a text-classification model over Consumer Sentinel narratives: nearly 65,000 reports and about $65 million in losses, January 2020 through June 2025. In a narrower window, the 12 months ending June 2025, about half said it started with a fake Facebook ad.
What's the difference between a duplicate lead and an unqualified lead?
A duplicate is the same renter contacting you more than once (often once per listing site), because nothing matches their name, phone or email across channels before a new inquiry is logged. An unqualified lead is a real, single renter whose income doesn't clear your screening bar, discovered after intake instead of during it.
How can property managers reduce junk leads without hiring more staff?
Automate the checks that currently happen too late: identity verification before self-showing access, and matching new inquiries against open conversations before logging a duplicate as fresh. Handling both at first contact, instead of during a follow-up call, is what shrinks the junk share reaching your showing calendar.
