DealJoy.AI
DealJoy scores homeowners by signals such as estimated equity, length of ownership, and absentee or tired-landlord status to surface likely sellers, then uses AI to write property-specific outreach emails. Per the vendor, agents claim an exclusive ZIP code and the system contacts up to 1,000 homeowners per month, replacing unsubscribes automatically and routing replies to the agent's inbox.
Best for: Individual agents, teams, and brokerages that want predictable listing-side leads without manual cold calling or buying shared leads.
Last reviewed 6/2/26
- Pricing
- Starter plan $395/month for 1,000 homeowner contacts, including a dedicated domain, compliance setup, and an analytics dashboard. Higher tier offers 2,000+ contacts with custom integrations and priority support. Month-to-month with no long-term contract, plus quarterly and annual options.
- Property types
- Residential
- Geography served
- United States (available in most states; not offered in Washington and Pennsylvania, where the parent company runs its own brokerage)
How DealJoy.AI uses AI[1][2]
DealJoy scores homeowners by signals such as estimated equity, length of ownership, loan type, and absentee or tired-landlord status to surface likely sellers, then uses AI to write property-specific outreach emails. Per the vendor, agents claim an exclusive ZIP code and the system contacts up to 1,000 homeowners per month, replacing unsubscribes automatically and routing replies to the agent's inbox.
- • Ranks homeowners by data signals (estimated equity, years owned, loan type, absentee owner, motivated seller) to target likely sellers
- • AI writes personalized, property-specific outreach emails to drive opens and replies
- • Exclusive ZIP-code farming so no two agents work the same territory or lead
- • Automated follow-ups, unsubscribe replacement, domain warmup, and compliant delivery with real-time response tracking
AI type: Predictive lead scoring with generative AI email outreach
API: no MCP: no
Key numbers[1][2]
- • Vendor states the platform can contact up to 1,000 homeowners per month per agent with exclusive ZIP-code territories
- • targets roughly 92% inbox placement via domain warmup
- • draws on a database of 95,000,000+ U.S. homeowners.
Credibility[2][4][5]
- Founders
- Built by WithJoy.AI Inc. Co-founder and CEO Dave Clark and co-founder Kyler Bruno, a licensed Washington real estate agent.
- Customers
- Real estate listing agents, teams, and brokerages across the United States.
- Investors
- Described by the company as VC-backed; specific investors and round sizes are not publicly disclosed.
Founded
2023
Headquarters
Vancouver, Washington, USA
Stage
VC-backed
Related companies
Folio by Amitree
Folio uses patented AI to detect a real estate agent's active transactions inside their inbox and organize the related emails, documents, and deadlines into structured Smart Folders without leaving Gmail or Outlook.
Folio uses patented AI to detect a real estate agent's active transactions inside Gmail or Outlook and organize the related emails, documents, and deadlines into Smart Folders, then uses DocGPT to summarize contracts and auto-populate transaction timelines.
Leadflow
Leadflow's Sellability Score, now in its 11th generation, runs three independent machine learning models retrained monthly and back-tested against actual outcomes to rate each property 0 to 1,000 on its likelihood to sell within 90 days, split into Retail, Rental, and Wholesale scores. The company says marketing to AI-scored leads raised seller response rates by 271 percent versus a general list.
Leadflow's Sellability Score, now in its 11th generation, runs three independent machine learning models retrained monthly and back-tested against actual outcomes to rate each property 0 to 1,000 on its likelihood to sell within 90 days, split into Retail, Rental, and Wholesale scores. The company says marketing to AI-scored leads raised seller response rates by 271 percent versus a general list.
ListedKit
AI transaction coordinator for residential real estate teams that automates contract intake, deadline tracking, and document handling on a pay-per-transaction model.
AI assistant Ava reads executed purchase contracts, including handwritten ones, extracts parties, dates, financials, and contingencies, then auto-builds transaction deadline timelines. Ava also watches the agent's connected inbox, matches each email to the right deal, and drafts replies and status updates.