This week's deal took the team to Houston, TX - but the real story was the platform test, not just the property. For the first time, the same deal was posted and marketed simultaneously on Investorlift and the Mogul beta, so the team could compare how each one performs live, side by side.
What we covered:
The deal itself: a 3-bed, 2.5-bath, roughly 2,386 sq ft Houston house, asking $175K, with the team's manual ARV at $280–285K (with room to push higher based on comps) and rehab estimated around $50–70K
Running the exact same deal through Investorlift and the Mogul beta at once, to directly compare lead flow, buyer matching, and calling tools between the two platforms
How Mogul's AI (LiftGPT, still in internal beta) instantly generated its own ARV and max-offer numbers - $318K ARV and roughly a $141K max offer - as a gut check against the team's own estimate
Why Mogul's built-in dialer changes the day-to-day workflow: calls happen inside the platform with no separate phone needed, and every buyer profile shows verified LLC transaction history, similar to a LinkedIn profile for real estate buyers
Marketing reach: roughly 1,400 buyers viewed the listing after the marketing blast, funneling directly into interested leads on both platforms
Real buyer negotiation dynamics: one experienced local investor flatly rejected the $175K ask and countered under $150K based on his own repair-cost and margin math - a reminder that seasoned buyers negotiate off their own numbers, not the list price
The result, in the team's own words: "30 minutes of dialing, we got 2 offers, 6 walkthroughs." The top offer came in at $150K (well below the $175K ask), with an earlier organic offer at $110K and walkthroughs scheduled across both platforms - strong traction, but no accepted offer by the end of the session. Also on deck: LiftGPT's public beta and early-bird pricing launch at next week's webinar, with Mogul's official public launch targeted for September.
🎬 Watch the replay and see the entire process in action: