Case StudySFR Developer & OperatorHouston, TX
How Clay Residential qualified 725 investor leads without adding IR headcount
A single-family rental developer had a community still to sell to investor buyers and an investor-relations team spending its hours on lead qualification and CRM upkeep instead of closing. An AI employee took the sourcing and the admin, and left every conversation with Clay.
725
Approved
0
The Challenge
What was actually in the way.
Clay Residential builds and sells single-family rental homes to investor buyers, and its broker channels were doing their job: leads arrived. The bottleneck was everything between a lead arriving and a conversation happening.
Qualifying each one, updating the CRM, and running follow-up is real work, and it came out of the same investor-relations capacity that closes deals. The team was spending its most valuable hours on the least valuable part of the funnel.
There was also a data problem. The firm was light on first-party data: a small set of closed buyers and a clear sense of who they were, but a thin base to source from. Anything built on it had to turn a small, well-understood set into a much larger qualified one.
The Solution
What PSV built.
PSV built an AI employee that works the front of the funnel. It sources lookalike investor buyers from the profile of Clay's own closed buyers, scores them against the criteria the firm actually uses, and writes the result into the CRM the team already runs on.
The thin first-party data was handled by going deep on the profile rather than wide on the list. A structured intake captured the buyer definition in enough detail that the employee sources against the firm's real criteria instead of a generic investor persona, which is what makes lookalikes off a small seed set worth anything.
Outreach was staged deliberately, at the client's request. The first stage was sourcing, qualification, and CRM orchestration only, so the team could read the lead data and sharpen its pitch before anything went out. Approved outreach was layered on after, drafted in Clay's voice and queued for review. Nothing sends without the team's approval, and the relationship never leaves them.
Clay asked to start broad and narrow the criteria once patterns showed up in the lead data. The build was set up to work that way, so tightening the profile is a change to the criteria rather than a rebuild.
01
Lookalike investor sourcing
Qualified investor buyers are sourced against the pattern in the firm's own closed buyers, so a small first-party set becomes a working pipeline.
02
Qualification and scoring
Each lead is scored on the criteria the investor-relations team already applies, so what reaches a person has already cleared the bar.
03
CRM orchestration
Records, stages, and follow-up state are kept current in the firm's existing CRM. No new system of record was introduced.
04
Approved outreach in the client's voice
Outbound is drafted in Clay's voice and queued for review. Nothing sends without the team's approval, and warm replies go straight to a person.
The Impact
725 leads qualified. No new headcount behind them.
725 investor leads were sourced and qualified in the first weeks of the employee running, off nothing more than the firm's own closed-buyer profile.
Qualification and CRM upkeep came off the investor-relations team's plate, so the hours that were going to admin go to the conversations that close instead. No IR hires were added to make that happen.
Every outbound message is drafted in Clay's voice and held for the team's approval before it sends. The firm kept ownership of the pitch and the relationship, which was a condition of the engagement rather than a concession to it.
725
Investor leads sourced and qualified
Processed in the first weeks of the employee running, from the firm's own closed-buyer profile.
Approved
Every message reviewed before send
Outreach drafts in Clay's voice and waits for the team. Owning the conversation was a condition of the engagement, not a concession in it.
0
Investor-relations hires added
Sourcing, qualification, and CRM upkeep moved off the team without adding a seat behind them.
The system behind it
AI Investor-Sourcing Employee, built for one firm at a time.
Nothing here is a product with a login. Every build starts from the firm’s own models, templates, and criteria, which is why the output lands in a format the team already trusts.
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