Investor · Overland Park KS · Member since 2026 · 3 posts · 1 vote
Been obsessing over leasing conversion data for the past few months.
Specifically: how does response time affect whether a prospect
actually signs a lease?
Here's what I found across a sample of ~200 inquiries:
- Responded within 5 min → ~68% booked a showing
- Responded within 1 hour → ~34% booked a showing
- Responded next day → ~12% booked a showing
- Responded after 24hrs → ~4% booked a showing
The dropoff is brutal and it's almost entirely a function of
whether the prospect has moved on to the next listing.
The painful part for independent PMs: 60%+ of inquiries come
in evenings or weekends when nobody is watching their inbox.
The fix isn't "check your phone more." It's having something
that responds in under 60 seconds regardless of when the
inquiry comes in.
Curious what response time systems others are running.
Any automations that have actually moved the needle for you?
@Colin Knarr Those numbers are very interesting and definitely highlight the importance of responding quickly. I am not currently using any automations but during business hours my typical response time is within two hours and so far that has been working well for me.
This tracks with what I've seen too. The part that actually moves the needle isn't a smarter chatbot, it's just something answering the first message immediately, in whatever channel the inquiry came through, so the prospect gets a real reply before they've already called the next listing. For evenings and weekends specifically, even a same-channel auto-reply confirming a showing time beats a great response two hours later.
Are you testing anything for this already, or still fully manual right now?
That 68%→4% curve tracks almost exactly with the MIT study on real estate leads: 5 min response vs 30+ min was a 21x difference in qualification rate there too.
Your point about evenings/weekends is the real crux of it, most agents/PMs I've talked to check their phone in the morning and the leads from the night before are already gone.
I've actually been building something for exactly this (auto-response within seconds regardless of when the inquiry lands). Happy to share if useful, or curious what you ended up trying.
That makes sense. I’d be curious how much that drop-off changes depending on the property type, rent range, and submarket.
would a $2,900/month turnkey 4-bed, 2.5-bath home in South Overland Park really show the same response-time sensitivity as a $1,150/month 3-bed, 1-bath rental in a lower-rent part of the metro?
I could see the lower-priced inventory being more of a “first response wins” situation, while renters looking in higher-end or more limited-inventory areas might be willing to wait a little longer because they have fewer comparable options.
Did you happen to break the 200 inquiries down by rent range, property type, location, or lead source? I’d be interested to see if that 5-minute versus 1-hour gap stays that dramatic once you separate those out.
Colin — I think your data is pointing at something real, but I’d be careful about concluding that the entire 68% → 4% drop is caused by response time alone.
There are probably a few variables tangled together:
lead source
rent band
property type
day/time of inquiry
listing age
neighborhood supply
whether the first response actually answered the prospect’s question
whether the prospect could immediately book a showing
Milton’s question is the one I’d want answered next.
If the curve still holds after segmenting by those variables, then you’ve got something much more interesting than “respond faster.”
You’ve identified a leasing SLA.
And I’d actually measure it in three stages:
1. Time to acknowledgment How long before the prospect knows somebody received the inquiry?
2. Time to useful response How long before they get the actual answer they need?
3. Time to next action How long before they can schedule a showing, submit qualification info, or otherwise move forward?
Those are not the same thing.
An automated “Thanks, we received your message” in 12 seconds technically gives you a fantastic response time and may accomplish almost nothing.
But:
…is operationally very different.
That’s where I think automation earns its keep.
Not by pretending to be a leasing agent.
By eliminating latency between intent and action.
The prospect should never be sitting there wondering:
“Is this available?” “Did anyone get my message?” “When can I see it?” “What do I need to qualify?” “What happens next?”
The system should answer all of those immediately when the answers are deterministic, then hand off anything unusual to a human.
I’d also love to see one more number added to your dataset:
signed leases per 100 inquiries by response-time bucket.
Showing-booking rate is important, but ultimately I’d want to know whether faster response produces more qualified tenants or simply more showings.
If the 5-minute group produces materially more signed leases per 100 inquiries — after controlling for property and lead source — then the ROI calculation becomes almost embarrassingly straightforward.
At that point this stops being a customer-service discussion.
It becomes a vacancy-cost problem.
And if 60% of inquiries really are arriving when the office is functionally closed, then the traditional “we’ll get back to you during business hours” model has a structural disadvantage that hiring a slightly faster leasing coordinator probably doesn’t solve.
The interesting question isn’t:
“How quickly can my staff respond?”
It’s:
“Why does a routine leasing inquiry require a human to be awake in the first place?”
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