Case study · AI client acquisition
How an AI-powered acquisition company signed its first client at about 15× ROAS
Clients signed2with 1 more pending
Cash collected$3.5Kon the first client
ROAS~15×founder's estimate
About the brand
ChaseIQ is an AI/ML-powered client-acquisition company for real estate businesses, led by founder and CEO Ahsan Latif. Clients pay for results.
Our strategy
- Positioned the offerWe built the offer around ChaseIQ's pay-for-results model for real estate.
- Built the systemA video sales letter that leads to a booked call, with nurture after it.
- Wrote and tested the messageAds and follow-up tuned as the results came in.
What we set up
- A clear offerPay for results, made plain.
- A VSL-to-call pathFrom first click to booked call.
- A weekly testing rhythmTuned as results came in.
The results
- The first client was signed on September 18, with $3,500 collected.
- That client is worth about $15,500 over four months, roughly 15× the ad spend (founder's estimate).
- A second client signed within days and a third was pending. The founder was happy with the VSL's performance.
In their own words
"Cash collected is 3.5k. And client is for 4 months more so that's about 15.5k total. In 4 months. About 15x roas"Ahsan Latif, ChaseIQ
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