Interest is not intent
A property inquiry alone may not show whether the buyer’s stated needs and timing align with this listing.
ACCOUNT RESEARCH FOR REAL ESTATE LISTING TEAMS SELLERS
Stop treating every buyer like a closing date.
Reviewed account and buyer-fit research for listing teams: clarify which buyer profiles match a property and what evidence suggests a buying window—without protected-class targeting or promised leads.
The accounts. The business case. The next move.
Use lawful property- and transaction-relevant criteria—never protected-class traits or proxies. Income-property screening is not appraisal, financing, investment advice or an appreciation forecast. Verify assumptions, local rules, condition and multi-year cash flows with qualified professionals.
- 01Listing attributes
- 02Stated buyer criteria
- 03Evidence and unknowns
- 04Evidence → account report
THE PAIN / NOT ANOTHER GENERIC LIST
When every inquiry looks equally ready
Before selling time becomes sunk time, test the obstacles.
The buying window is fuzzy
Teams can lack a concise, evidence-based view of what is known—and still unknown—about a buyer’s readiness.
A shortlist needs a reason
Generic prospect lists leave teams guessing which account merits follow-up and what property-fit evidence supports it.
WHAT ALMA HUNTER DELIVERS
Give the next conversation a reason
- 01
Reviewed buyer-fit context
Get research tied to a listing’s stated attributes and a buyer’s expressed, transaction-relevant requirements.
- 02
A clearer timing hypothesis
Surface documented signals of a possible buying window, with uncertainty visible rather than dressed up as certainty.
- 03
Useful follow-up questions
Equip teams to validate fit and timing directly, without treating research as a lead guarantee or substitute for agent judgment.
ALMA HUNTER / ACCOUNT REPORT
01Business fitEvidence + unknowns
02Buyer ROIFull cost ↔ realized value
03Technical fitEvidence + unknowns
04IntentEvidence + unknowns
05TimingEvidence + unknowns
06Decision teamEvidence + unknowns
BANTBudget · Authority · Need · Timing
BUDGET UNKNOWNHOLD / VALIDATE
Illustrative qualification, not a researched account. Unknowns stay unknown.
THE KPIs / TRACK, DO NOT PROMISE
Better evidence.
Clearer sales decisions.
Metrics to monitor—not guaranteed lifts, meetings or sales.
Evidence completeness
Learning target: establish the share of reviewed profiles with a cited, relevant fit rationale and clearly marked unknowns.
Timing-signal usefulness
Learning target: ask listing-team users whether cited buying-window signals help prioritize a next conversation; compare with a baseline.
Validation rate
Learning target: track how often teams can confirm or correct researched fit and timing assumptions through their own lawful follow-up.
THE BUYER’S RETURN FROM YOUR SOLUTION
If the numbers don’t work,
the pitch won’t fix them.
This models your buyer’s return from your solution—not your revenue from buying leads.
YOUR BUYER’S ROI / FICTIONAL INPUTS
YEAR ONE / USD / MODEL, NOT A FORECAST
-90.3%Modeled buyer ROI
- Net year-one benefit
- -$948,000
- Year-one break-even units
- 123.5
- Simple upfront payback
- 230.8 months
Below year-one break-even. Revisit the case—not the arithmetic.
Illustrative, editable assumptions—not validated results, guarantees or Alma service pricing.
Make the value real.
Fictional income-property buyer screening only. Upfront is the full acquisition and setup cost; ongoing is the full year-one operating cost. Gross year-one rent is available months × rent per occupied month × assumed occupied share. Each cost is counted once. No financing, tax effects, resale value or appreciation is modeled. This is not the listing seller’s return from buying research, an appraisal, investment advice or a forecast. A negative first-year acquisition model does not by itself decide a multi-year property investment.
See formulas, evidence needed and research context
Gross benefit = potential units × economic unit value × realized share.
Full year-one cost = full upfront deployment + annual operating cost. Net = benefit − full cost. Year-one ROI = net ÷ full cost × 100. Each cost is subtracted once.
Simple upfront payback = upfront cost ÷ (annual benefit − annual operating cost) × 12 months, only if annual net benefit is positive. It assumes steady annual realization, not a discounted cash-flow forecast. Year-one break-even units = full year-one cost ÷ realized unit value.
Replace the fictional inputs with property-specific acquisition/setup cost, documented operating costs, supported rental evidence and a clearly stated occupancy assumption. This is an undiscounted, unlevered year-one screen, not a comprehensive property valuation or investment recommendation. Validate financing, taxes, local rules, condition and multi-year cash flows separately with qualified professionals. Apply only lawful property- and transaction-relevant fit criteria, never protected-class traits or proxies.
These sources explain the economic mechanism and measurement—not Alma Hunter performance:
- U.S. HUD — Housing Discrimination Under the Fair Housing Act — HUD states that the Act protects people in renting or buying a home and lists race, color, national origin, religion, sex, familial status, and disability as protected classes. Supports the explicit fair-housing caveat; it does not establish Alma performance or authorize audience targeting.
- National Association of REALTORS® — Consumer Guide to Written Buyer Agreements — NAR says written buyer agreements outline services and compensation, are requested before touring for many REALTORS® under the post-August 17, 2024 practice, and terms are negotiable; practices vary by state and local law. Supports buyer-process context and qualification friction, not a universal rule for every professional.
- U.S. SEC Investor.gov — Investor Bulletin: Publicly Traded REITs — SEC investor education describes real-estate investment risks and differences in liquidity, fees, and valuation across REIT types, and advises thorough research before investment decisions. Supports caution around property-economics screening; it concerns REITs and is not a direct-property appraisal or return estimate.
FROM THE FOUNDER / NOT A CUSTOMER TESTIMONIAL
Built from the seller’s side.
“Finding companies was never the hard part.”
Scott Hawkyard · Founder, Alma Hunter
A buyer needs a supported business case—not another profile match.
THE NEXT MOVE
Find the buyers.
Bring the case.
Tell us what you sell and who buys it. We agree scope, price and delivery before payment. An inquiry does not start research.
Find my buyersInquiries, support or privacy: sales@almahunter.com
ALMA HUNTER / YOUR ACCOUNT REPORT
Buyer value.Evidence.Your next move.
Accounts reviewed against your brief.
Unknowns left visible.