$10,000 IN AD SPEND. 50 LEADS. 6 SIGNED CONTRACTS.
Aaron Leddy of Results Driven REI ran a 60-day test on Leadzolo's real-time bidding leads and tracked every number along the way, including the month it didn't work. Here's exactly what happened.
$10,000. 60 days. No cherry-picking.
Aaron Leddy of Results Driven REI, running his own acquisitions team, decided to test Leadzolo's real-time bidding leads against everything else already in his marketing mix.
The setup was simple: $10,000 in spend, tracked over a 60-day window, no cherry-picking the results.
At roughly $200 per lead, that budget bought him 50 leads. By the end of the window, those 50 leads had turned into 6 signed contracts, well ahead of the 1-in-20 to 1-in-25 benchmark Aaron says he typically expects from pay-per-lead.
Don't take our word for it. Hear Aaron walk through the test himself.
The final number matters. But the most useful part of this case study is what happened between month one and month two.
Aaron Leddy's 60-Day Bidding Test
$10,000 in spend. 50 real-time bidding leads. Six signed contracts — after month one produced none.
The first 30 days produced zero contracts.
Here's what makes this one worth watching instead of just reading a stat: the first 30 days produced zero contracts.
Instead of writing the leads off, Aaron went back and audited his own process.
What he found wasn't a bad lead problem. It was a speed problem. His team was taking 10 to 20 minutes to respond to a new lead, running it through the same multi-step follow-up sequence as every other channel.
He turned on an instant response system instead: the moment a bidding lead came in, it triggered an immediate text, email, and outbound call to qualify it before it went cold.
Speed mattered. But so did what showed up on the other end.
A few things stood out to Aaron independent of his team's response time.
The geography was exact.
He'd previously run other pay-per-lead sources where a lead in his market would occasionally come from a city he didn't work at all. That never happened here. Every lead landed inside his actual buy box.
The intent was real.
He wasn't fielding tire-kickers. When he got someone on the phone, they were seriously considering selling.
The leads were his alone.
No bidding war after the fact. No shared pool. He set the price he was willing to pay, and leads matching his criteria came in exclusively to him.
Set your price. Get the lead first.
None of this happened by accident, and none of it is unique to one investor. It's how Bidding is built to work: you set your price for your market, and every lead that comes in at that price is yours alone, delivered the moment a seller raises their hand.
No one else sees it. No one else calls it first.
Set Your Price
Tell Leadzolo what you're willing to pay for seller leads inside the markets you actually buy.
Get The Lead
When a seller matches your targeting and winning bid, the lead comes directly to you in real time.
Work It Fast
What separated Aaron's slow first month from his second month wasn't the leads. It was how quickly his team worked them.
Budget for the realistic range. Not the highlight reel.
Direct-response marketing loves a highlight reel. Here's the realistic version instead. According to Aaron, this is what he expects and coaches his own students to expect from pay-per-lead:
Expected lead-to-contract range
Roughly, depending on your CPL
Days is a typical planning window
A few questions worth asking.
The useful part of a case study isn't pretending everybody gets the exact same result. It's understanding what actually drove it.
Is this a typical result?
What if my team can't respond instantly to every lead?
Are Bidding leads really exclusive?
How fast should I expect a return?
SET YOUR PRICE. GET THE LEAD FIRST.
Talk to us about what Bidding looks like in your market.
This case study reflects an individual customer's reported experience and does not guarantee similar results. Performance varies by market, bid price, lead volume, speed-to-lead, follow-up, acquisition skill, offer strategy, disposition strategy, and other factors.