Seller Motivation Scoring

Input Parameters

Processing Methodology

Motivation Indicator Scoring Matrix:

The AI evaluates each of the 12 indicators and assigns a weighted score contribution:

Maximum Possible Score: 172 points (normalized to 100-point scale)

Normalization: Motivation Score = (Raw Points ÷ 172) × 100

Motivation Tier Classification:

Offer Strategy Recommendation by Tier:

Output Format

Motivation Score Card:

```

Seller Motivation Assessment

Property: 1847 W Elm St, Tempe AZ 85281

Owner: Robert & Linda Morrison

Assessment Date: [Date]

─────────────────────────────────────────

MOTIVATION SCORE: 74 / 100

MOTIVATION TIER: 🌡 WARM

CRM TAG: Warm-Lead

─────────────────────────────────────────

```

Indicator Breakdown:

Seller Profile Narrative:

Robert and Linda Morrison have owned this property for over 11 years and appear to be experiencing financial pressure evidenced by 2 years of tax delinquency and a mortgage that is 60 days past due. The property has been listed for nearly 6 months with three price reductions, suggesting they are motivated to sell but have not yet received an acceptable offer at retail pricing. With estimated equity of approximately $191,000, they have room to negotiate. The likely motivation driver is financial strain combined with fatigue from managing an extended, unsuccessful listing. Recommended approach: call with empathy for their situation, acknowledge the length of time they have been trying to sell, and present a fast, all-cash, as-is offer as the solution to their problem. Avoid leading with price — lead with certainty and speed.

Offer Strategy Recommendation:

```

Recommended Offer Range: 65–75% of ARV ($203,000 – $234,375)

Opening Position: $203,000 (65% of $312,500 ARV)

Primary Contact Channel: Phone + handwritten direct mail

Secondary Channel: Door knock if no phone response within 5 days

Negotiation Note: Seller has financial pressure but is not yet in foreclosure;

expect counter offers above 75% ARV initially.

Hold firm on 70% maximum unless inspection reveals significant undisclosed issues.

```

Conservative Bias Methodology

1. Minimum Score of 65 for Active Outreach Recommendation. The threshold is set at 65 rather than a lower number to prevent acquisition teams from spending time on sellers who show motivation signals but are unlikely to actually transact below market. False positives in acquisition outreach waste marketing dollars, acquisition team time, and seller goodwill.

1. Unknown Inputs Default to Zero Points. When an indicator cannot be confirmed from public data (for example, owner age is not publicly available), the AI assigns zero points for that indicator rather than estimating or assuming. This means the motivation score is always a conservative floor — the actual score could be higher if additional data is obtained through skip trace enrichment.

1. Scoring Based on Confirmed Data Only. All 12 indicators are scored only on the basis of confirmed public record data or skip-trace enriched data. No assumptions about motivation are made beyond what the data supports.

1. Re-Scoring Cadence. Cold leads (45–64) and Not Recommended leads (< 45) are not abandoned — they are placed in a 60-day monitoring queue and automatically re-scored when new data signals appear (new court filing, mortgage default, listing, or price reduction). A lead that was Cold today can become Warm or Hot within 60 days if their situation changes.

CRM Integration

GoHighLevel:

• Tags contact: Hot-Lead, Warm-Lead, or Cold-Lead

• Populates: MotivationScore, MotivationTier, TopMotivationDrivers, RecommendedOfferRange

• Triggers workflow based on tier: Hot = immediate call task + SMS sequence; Warm = direct mail sequence enrollment; Cold = 60-day monitoring tag

• Attaches full motivation score card and narrative as conversation note

HubSpot / Salesforce:

• Same field population and workflow enrollment logic via corresponding workflow triggers