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Rental application trends

From channel to lease.

Findigs traces every application from channel through decision to lease, showing approval rates, decline reasons, and time to decision by cohort.

Trusted by the owners and operators behind 400K+ rental units
Northpoint
Evernest
Atlas
The problem

You cannot fix a funnel you cannot see.

When you cannot see where applications fall out, over-declines and drop-off hide until a unit sits empty and no one knows why.

The Findigs answer

The funnel, end to end.

Findigs traces every application from channel through decision to signed lease, with approval rates, decline reasons, and time to decision by cohort.

See it before you tune it

See the funnel before you tune it.

Findigs breaks decline reasons and approval rates out by cohort, so you see where applications fall out before you change a thing.

How it works

What sits on application and decision trends.

01

Channels and approval rate

Findigs charts each source channel beside the approval rate it produced.

02

Decline reasons by cohort

Findigs ranks the decline reasons that fired and breaks them out by cohort.

03

Time to decision

Findigs plots time to decision across the portfolio with the median called out.

Into performance

From the decision to the lease.

Findigs follows signed leases into post-lease performance, reporting how those approvals actually pay, renew, and turn over.

See post-lease performance
FAQ

Application and decision questions

What does application and decision trends actually show?

Findigs traces every application from its source channel through decision to signed lease, with approval rates by cohort, the decline reasons that fired, and the time-to-decision distribution on the same screen.

How are decline reasons broken out?

Findigs ranks every decline reason that fired and segments them by cohort, so the rule driving the drop is visible before an operator proposes a change.

Can operators see where applications fall out?

Yes. Findigs surfaces drop-off at every funnel stage with the decline reasons and cohorts most affected, so operators pinpoint where applications fall out.

How does this connect to Policy Optimization?

When the funnel surfaces a drop or an over-decline, Policy Optimization lets operators simulate a rule change against the same applications and lease outcomes before deploying.

How fresh is the data?

Findigs refreshes the funnel against application, decision, and lease data the platform is processing, so operators see what is happening now.

Trust and compliance

Every decision is handled under FCRA, encrypted in transit and at rest, applied as consistent policy with an individualized assessment, and logged to a full audit trail.

SOC 2 Type II
FCRA-compliant
Fair Housing

Stop screening, start leasing.

See how Findigs decisions every application automatically.

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