Writing ยท Leasing & Conversion
๐ช๐ต๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฒ๐๐ ๐๐ฃ๐ ๐ ๐ฎ๐ ๐๐ฒ ๐๐๐ถ๐ป๐ด ๐ง๐ผ ๐ฌ๐ผ๐
I remember the moment clearly.
Closing ratios were weak.
10 to 15 percent at several properties.
A few are hitting 25 to 30.
The math was simple.
Improve closes per lead, and leases go up.
So we pushed hard.
Training.
Role-playing.
Live tours.
Call reviews.
Direct feedback.
Then a few properties suddenly โbroke out.โ
35 percent.
40 percent.
Even 50 percent closing ratios.
That didnโt feel like skill.
It felt off.
So I dug into the data.
The improvement wasnโt better selling.
It was better math.
Leads were being re-coded as โnon-prospects.โ
Once the denominator shrinks, the ratio looks heroic.
Some real prospects were misclassified.
Not out of malice.
Out of incentives.
Thatโs the lesson.
Every KPI gets optimized.
Often in ways you didnโt design.
Sometimes in ways you didnโt imagine.
This is the same pattern behind corporate accounting blowups.
Change definitions.
Shift categories.
Make the number look right.
Same behavior.
Smaller scale.
Closing ratio still matters.
I still track it.
But I also track the levers around it.
Who can reclassify leads.
How often they do.
Traffic volume versus leases.
Conversion across multiple metrics, not one.
If you run a business, ask this:
If someone wanted to game this metric, how would they do it?
If you canโt answer that, most likely someone already has.
Good metrics shape behavior.
Bad ones shape excuses.
The goal isnโt fewer KPIs.
Itโs fewer blind spots.