Recommendations by my +plus leads uses machine learning and regression models to score every property in your farm — surfacing the homeowners most likely to list, most likely to convert, and most likely to answer the phone today. Stop chasing stale, generic lead lists. Start each morning with a ranked roster of motivated sellers in your market, complete with mobile phones, equity profile, and the right time to call.
We trained three predictive models on millions of property records, ownership histories, tax-roll signals, and listing outcomes to do one thing: tell you which homeowners in your farm are most likely to sell — and exactly how to reach them.
Every night, Recommendations regenerates your list by ingesting fresh signals from public records, tax rolls, FSBO and FRBO postings, expired and canceled listings, and preforeclosure filings across your 50-mile farm. Every morning, you log into a ranked, deduplicated list of properties with contact data, equity profile, length of residency, and optimal outreach timing already worked out. No spreadsheets. No cross-referencing list-broker exports. Just the next 30 doors to knock on, in priority order.
It is the difference between cold prospecting — where you dial 100 numbers to find one motivated seller — and predictive prospecting, where the model hands you the 10 properties most likely to convert before you pour your first coffee.
Predictive analytics in real estate is the use of machine learning, regression models, and historical data to forecast which homeowners are most likely to sell their property within a defined window of time. Instead of relying on broad demographic lists or waiting for a homeowner to signal intent — by posting a For Sale by Owner ad, letting a listing expire, or falling into preforeclosure — predictive models analyze hundreds of property-level and ownership-level signals to identify motivated sellers before they hit the market.
The signals can include length of residency, equity position, life-stage indicators (empty nesters, mover-uppers), absentee status, neighborhood turnover patterns, tax assessment history, and prior listing behavior. Each property in your farm is scored against the model, and the highest-probability matches are surfaced as recommendations.
For real estate agents, this means a shorter path from prospecting to listing appointment. For investors, it means earlier access to off-market opportunities before competition arrives.
Traditional real estate lead lists are reactive. You wait for a homeowner to expire off the MLS, post on Craigslist, or get served foreclosure paperwork — and then you compete with every other agent who bought the same list. The signal is loud, but so is the competition, and the seller is often already frustrated by the time you arrive.
Predictive prospecting flips the timing. Rather than reacting to public events, the model scores every property in your farm continuously and surfaces the homeowners most likely to list in the near future. You reach the seller during the consideration window — before the sign goes in the yard, before the listing agreement is signed, before five other agents have called.
The two approaches are complementary, not opposed. Recommendations layers predictive scoring on top of traditional lead types (FSBO, FRBO, Expired, Preforeclosure), so a property that is both an expired listing and a high-equity empty-nester scores higher than either signal alone. The result is a ranked list — not a flat one — that tells you who to call first.
Recommendations runs three predictive models in parallel, each answering a different question — and each trained on a different kind of signal.
The feedback-loop architecture is what makes Recommendations different from a static lead list. Likely to List tells you who might sell. Likely to Lead and Likely to Contact tell you who to work first and when — and they continue improving over time as more real-world outcomes flow back into the models.
Every night, the engine ingests fresh data from public records, tax rolls, MLS expirations, FSBO and FRBO postings, and preforeclosure filings across your 50-mile farm. Every record is matched, deduplicated, scored, and ranked. Every morning, you log in to a refreshed list — enriched with mobile phones, emails, equity profile, and seller tags — ready to work.
The list is dynamic by design. A property that was a top recommendation on Monday may drop on Tuesday as new signals change its score. The seller who finally becomes “likely to contact” on Thursday surfaces to the top before your competitors notice.
Machine learning scores every property in your farm against three predictive models — Likely to List, Likely to Lead, and Likely to Contact — and surfaces a ranked daily list. Stop guessing which door to knock on. Start with the homeowners the data says are ready.
The Likely to Contact model analyzes real outreach results to identify when sellers are most likely to actually answer the phone, respond to a text, or open an email. Spend your prospecting hours on conversations, not voicemails.
Recommendations pulls signals from FSBO, FRBO, Expired and Canceled listings, Preforeclosure filings, and your full Premium Neighborhood farm — then deduplicates and scores them together. One workflow, one daily list, one priority order — instead of five disconnected lead sources competing for your attention.
Recommendations is included at no additional cost for accounts subscribed to Premium Neighborhood and any two data services. Leads sync directly with BoldTrail, KvCore, Follow-up Boss, Lofty, Sierra Interactive, MOJO Sells, GoHighLevel, and Mailbox Power — so the model’s output lands in the CRM you already work from.
Recommendations is included at no extra cost with any qualifying subscription. Pick the bundle that fits your prospecting style — every plan below includes Recommendations and a 14-day free trial.
Tell us about your market and your prospecting workflow and we’ll point you at the right bundle. No pressure, no commitment — just a 15-minute conversation with someone who knows the platform.
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Related Services — For Sale by Owner Leads · Expired & Canceled Listings · For Rent by Owner · Preforeclosure Leads · Likely to List · Neighborhood Data