seller-profiler

name	seller-profiler
description	Profiles motivated sellers to determine pain points, urgency level, and optimal negotiation approach. Identifies seller type from listing language — retiree, estate/probate, tired landlord, distressed, institutional — across any asset class. Use when user says "profile this seller", "analyze seller motivation", "who is the seller", "how motivated are they", "what is the seller situation", "how should I approach this deal", "what is driving this listing", or "rate seller motivation".
allowed-tools	Read, Write, Glob, Grep, WebSearch
metadata	{"author":"Deal Intelligence","version":"2.0.0","category":"workflow-automation","tags":["seller-profiling","motivation","negotiation","behavioral-psychology"]}

Seller Profiler

Analyzes listing data to profile seller motivation, urgency, and optimal approach strategy. Works for any asset class — real estate, businesses, land, notes.

Instructions

Step 1: Load Listing Data

Read from data/processed/ or accept URL/description from user.

Extract: listing description, DOM, price history, broker vs. FSBO, asset type, condition language.

Step 2: Identify Seller Type

Match signal patterns to type:

Type A: Retiree / Exiting Owner

• Signals: "retiring", "after X years", "ready for next chapter", "owner operated"
• Pain: Tax hit from lump sum. Wants income continuity, not event.
• Angle: "You become the bank — monthly checks, no tax event."

Type B: Estate / Probate

• Signals: "estate sale", "trust", "heirs", "court approval"
• Pain: Multiple decision-makers. Want fast, clean exit.
• Angle: "Simplest possible close. Full price. No bank delays."

Type C: Tired Landlord / Operator

• Signals: Long DOM (180+), deferred maintenance, "as-is", multiple price cuts
• Pain: Done managing. Wants relief above maximum price.
• Angle: "You walk away clean. We take over everything."

Type D: Distressed / Forced

• Signals: "must sell", "motivated", pre-foreclosure, tax default, divorce
• Pain: Needs to transact on timeline. Stuck.
• Angle: "I don't need a bank. We close on your timeline."

Type E: Institutional / Corporate

• Signals: Professional language, LLC/corp seller, broker-only, portfolio sale
• Pain: Fiduciary duty. Needs clean, defensible transaction.
• Angle: Full-price offer, no contingencies, minimize their liability.

Type F: Investor Exit

• Signals: "portfolio sale", "1031 exchange", multiple properties together
• Pain: Tax strategy driven. Timeline matters.
• Angle: Match their exchange timeline, clean terms.

Step 3: Score Motivation Level (1-10)

Start at 1. Add points:

• Each 30 days DOM over 90: +1 (max +4)
• Each price reduction: +1 (max +3)
• "Must sell" or "motivated" language: +2
• Estate/retirement signals: +2
• Owner financing already offered: +1
• Vacancy or declining occupancy: +1

Rate urgency: 1-4 = LOW | 5-6 = MEDIUM | 7-8 = HIGH | 9-10 = EXTREME

Step 4: Recommend Deal Structure

• Type A (Retiree): Owner finance. Monthly income. Low down. IRC 453 installment sale.
• Type B (Estate): Cash or simple seller carry. Speed over terms.
• Type C (Tired): Fast close. As-is. Seller carry to reduce friction.
• Type D (Distressed): Solve their specific timeline problem. Maximum flexibility.
• Type E (Institutional): Full price. Clean terms. No contingencies.
• Type F (Investor): Match 1031 timeline. Clean close.

Step 5: Output Seller Profile

{
  "sellerType": "Type A — Retiree",
  "motivationScore": 8,
  "urgency": "HIGH",
  "primaryPain": "one sentence — what drives this sale",
  "recommendedAngle": "one sentence — how to frame the offer",
  "dealStructureFit": "owner finance / auction / cash / creative",
  "openingLine": "first thing to say — leads with their pain",
  "keyTalkingPoints": [],
  "avoid": "what NOT to say to this seller type",
  "leveragePoints": []
}

Save profile to deal record and to data/processed/profiles/[deal-id].json.

Examples

Example 1: Profile from URL

User: "profile this seller [URL]" Actions: Fetch listing → analyze signals → classify → score → output profile Result: Full seller profile with opening line and structure recommendation

Example 2: Profile top deals

User: "profile all HOT deals" Actions: Load HOT tier from data/processed/ → profile each → save profiles Result: Profile file per HOT deal

Example 3: Quick motivation check

User: "how motivated is the seller on the Nevada City property" Actions: Find matching deal → score motivation → return score + urgency rating Result: "Motivation: 8/10 — HIGH. Estate sale, 220 DOM, 2 price cuts."

Error Handling

• No description available: Use DOM + price history only — note "limited data, estimate only"
• Broker-only listing: Profile broker type + flag "seller profile requires direct contact"
• Auction listing: Generate "auction bidder strategy" instead of seller profile

References

• references/seller-types.md — Full signal library per seller type
• references/deal-structures.md — Structure recommendation per seller type
• references/behavioral-science.md — Psychology behind each type