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Case study · Our first pilot

39% of written-off leads answered.

How one Waco agent's dead Zillow & CINC database came back to life in five weeks — every touch by a real person, zero automation.

A person working carefully through a list of cold real estate leads at a laptop
Every touch, by hand

The situation

A database full of leads everyone had given up on.

A busy Waco agent had spent thousands on Zillow and CINC leads, then watched them go quiet — because following up eight, ten, twelve times by hand is nobody's idea of a good afternoon. It happens to almost every agent, on every platform. The leads weren't dead. They were just waiting on a human.

The usual fix is more software — a drip campaign, an AI texter, another robot with her name on it. We tried the opposite. The slow way. Here's exactly what we started with:

  • 69 of her coldest leads — the ones already written off
  • Cold for roughly 50 to 160 days when we picked them up
  • Zillow, CINC and open-house contacts she'd already paid for
  • No new ad spend. No automation. Just people, doing the work

What came back

Five weeks later, the "dead" list was talking again.

These numbers come straight from our call log — the same log the agent could read any day she wanted. No projections, no rounding up, no asterisks doing heavy lifting.

39%

of leads she'd written off answered once a real person reached out

51%

of our phone calls were picked up — on leads cold for months

31

real conversations restarted from a list everyone called dead

2

appointments booked — plus a few leads calling back on their own

All of it from 69 leads in roughly five weeks, with zero automation and zero new ad spend. These are early numbers from a single pilot with one Waco agent — we're telling you that up front because we'd rather you trust the number than be impressed by it. We give every client the honest count, never the inflated one. That's kind of the whole point.

What we did

133 follow-ups. All of them by a person.

No dialer, no drip sequence, no AI writing "Hi {FirstName}" at 3 a.m. Over about five weeks, a real person sat with her database and worked it the way trust actually gets built.

133 touches, by hand

Calls, texts and emails — every single one written or dialed by a person. Automated messages sent: zero. We counted.

Three-touch discipline

Every cold lead got a patient, personal sequence — not one half-hearted attempt, and not fifteen desperate ones. A human pace, held to.

Same-day response

When fresh inbound came in, a person answered it the same day — because the fastest way to kill a warm lead is to make them wait.

Her voice, not a script

Every message read the lead's history first and sounded like her — warm, direct, local. No script trees. No "just circling back."

Why it worked

People can tell when it's a bot. That's the entire finding.

Buying or selling a home is the biggest financial decision most people ever make — and they know exactly what an automated drip feels like, because they get twelve of them a day. Those blasts don't just get ignored; they spend down an agent's reputation a little at a time. In this pilot, every message was written by a person who'd actually read the file. That's it. That's the difference between 133 messages that got deleted and 31 conversations that came back.

  • Half the phone calls were answered — cold leads still pick up for a human
  • Replies were handled with judgment, not a script tree
  • Nobody got burned to hit a quota — her name stayed worth something
  • She could read every word we sent, any time — total transparency
The leads were never dead. Nobody was talking to them.

// What the pilot taught us

What's hiding in your database?

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