How Premier Properties Group Generated 31 Qualified Leads in 30 Days with AI

The Challenge

David Chen has been a licensed real estate broker in Austin, Texas for fourteen years. His brokerage, Premier Properties Group, operates a team of seven agents covering Travis and Williamson Counties. The Austin market is intensely competitive — more than 12,000 active real estate licensees compete for business in a metro area where inventory is perpetually tight and buyers move quickly.

David's website attracted approximately 1,200 unique visitors per month, driven by a combination of Google Business Profile traffic, neighborhood guide content, and a handful of organic search rankings for local terms like "Austin condos under $400k" and "Round Rock family homes." The traffic was real and relevant. The problem was conversion. Of those 1,200 monthly visitors, only 8 to 10 left contact information per month — a conversion rate of under 1%. The rest browsed listing photos, read a neighborhood guide, and disappeared.

David knew why. Real estate website visitors have questions before they're willing to hand over their phone number. "Is this listing still available?" "What's the HOA fee?" "Are there any offers already?" "Is the school district rated?" These are pre-qualification questions — and when a website has no way to answer them in real time, visitors move on to Zillow or Realtor.com, where the experience is more interactive even if the agents are unknown commodities.

David had experimented with third-party lead generation platforms, paying $35-60 per lead for contacts that turned out to be shoppers at the very earliest stage of consideration. His close rate on purchased leads was 4%. He was spending approximately $2,800/month on leads that generated one or two transactions per quarter at most.

Why Envoy

David's approach to Envoy was methodical. He trained the chatbot on his full active listing inventory by including property detail pages in the crawl scope, along with his neighborhood guide content, buyer's guide, and seller's guide. He also manually added responses to the 20 most common questions his agents fielded during first contact with prospective clients: school district ratings for each neighborhood, typical HOA fee ranges, average days on market by zip code, and what to expect from Austin's competitive offer environment.

The key differentiator for his use case was lead qualification. David configured Envoy to identify whether a visitor was a buyer or seller, their timeline (actively looking, 3-6 months, just browsing), their price range if a buyer, and whether they owned a home they would need to sell first. By the time a visitor's contact information landed in David's CRM, it came with three or four qualifying data points his agents would normally spend an entire first phone call extracting.

Envoy's ability to answer listing-specific questions was particularly valuable. When a visitor asked "Is the property on Grapevine Trail still available?", the chatbot checked against the indexed listing content, confirmed availability and current status, and provided the list price, bed/bath count, and a link to the full listing — all within seconds, at any hour.

The Results

In Premier Properties Group's first 30 days with Envoy, the chatbot handled 847 website conversations. Of the visitors who engaged with the chatbot, 31 provided contact information and were classified as qualified leads based on David's criteria: active buyer or seller intent with a defined timeline and price range.

Four of those 31 leads closed transactions within 90 days of first contact. Two were buyer sides (average sale price $418,000, average commission 2.5% = $10,450 each), and two were seller listings that sold for $389,000 and $447,000 respectively at 2.5% listing side = $9,725 and $11,175. Total commissions from chatbot-originated leads in the 90-day window: $41,800 for the team, with David's brokerage split accounting for $33,600.

The pre-qualification data proved its value during the first agent call. Agents reported spending 40% less time on initial discovery calls because Envoy had already established timeline, budget, and transaction type. One of the four closed buyers noted in a post-closing survey that she had specifically chosen Premier Properties because "the website actually answered my questions right away at 11 at night, which made me feel like the team was responsive."

Compared to the third-party lead platform David had been paying $2,800/month to use, Envoy delivered leads with a higher close rate (13% vs. 4%) and a dramatically lower cost per acquisition.

In Their Own Words

"Real estate is a trust business. People hire the agent who makes them feel heard and responded to. I was spending $2,800 a month on leads that were ice-cold because three other agents had already contacted them. Envoy gives us a different kind of lead — someone who came to our website, asked a specific question about a specific neighborhood or listing, and decided to share their contact information because we gave them something useful in return. Those leads close. Four deals in 90 days from a chatbot I set up in an afternoon is a result I would not have believed if I hadn't seen it myself."

— David Chen, Broker/Owner, Premier Properties Group

Try It Yourself

Premier Properties Group used Envoy to qualify real estate leads around the clock. Envoy is an AI chatbot for real estate businesses.

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Key Takeaways

• Premier Properties Group's website converted less than 1% of visitors to leads before Envoy; after deployment, conversion tripled to 2.6% by answering real-time questions that no static website can address.
• Envoy delivered 31 qualified leads in 30 days — more than triple the prior monthly average — with 100% of leads arriving pre-qualified with timeline, budget, and transaction type data.
• 4 closed transactions in 90 days from chatbot-originated contacts generated $33,600 in brokerage commissions, dramatically outperforming purchased leads that closed at a 4% rate.
• Cost per qualified lead dropped from $311 on paid lead platforms to $58 via Envoy, with the added advantage that chatbot leads arrived pre-warmed by a relevant, personalized website interaction rather than as cold contacts.