Client Results
Client Direct Mail Results: From 2.4x to 6.2x ROAS in 60 Days
Two client examples, with the periods and spend behind them. Hear how Sean Z. of Greenlight Offers and Billy Alvaro of Easy Sell changed their response rates and ROAS with REmail. Results vary by market, list quality, offer, and follow-up speed.
13
Contracts in first 60 days
6.2x
Dashboard ROAS, that period
$13,487
Mail spend
21,098
Pieces mailed
One client example, covering Dec 2025 to Jan 2026. Results vary by market, list quality, offer, sales process, and follow-up speed. Profit figures Sean quotes in the interview are his own projections from signed contracts, not collected revenue.
Case Study Highlights
- Went from 2.4x with two prior agencies to 6.2x on the dashboard in the first 60 days
- 13 contracts signed in the first 60 days on $13,487 of mail spend
- Fully automated: "I didn't even know I was paying for it"
- Response rate nearly doubled from month one to month two (0.10% to 0.19%)
Client Results
From 2-3x to 6x+ ROAS: Billy Alvaro, Easy Sell
Billy Alvaro of Easy Sell Property Solutions in NY and NJ was sending a ton of mail with a low response rate, and once every cost was counted his true ROAS was 2-3x. Hear how culling the data and tightening every channel changed that.
Billy Alvaro
2-3x
ROAS Before
4x+
ROAS Trailing 12 Months
6x+
ROAS Last 6 Months
$1.28M
Attributed Revenue, 12 Months
One client example. Attributed revenue covers the trailing twelve months. Results vary by market, list quality, offer, sales process, and follow-up speed.
Case Study Highlights
- Mail ROAS went from 2-3x to 4x+ over the trailing twelve months, and 6x+ over the last six
- Net qualified response rate up 75% (0.08% to 0.14%), cutting cost per qualified lead by 43%
- "A lot of money was just dripping out the bottom of the bucket" before the rebuild
- Direct mail, Facebook, and Google vendor management taken off his plate
“We're able to grow intelligently. That is the bottom line answer. You could have data, but if it's not the right data, you're making decisions based on incorrect data, and that leads you down really bad paths.”
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