DataSift
AI-Powered Data

AI-Powered Prospecting

1,800+ data points identifying 50%+ of investor transactions nationwide, before the seller knows they're selling.
📚 ~10 min read 🎯 Market Analysis 💰 $297-$1,250/mo

AI Data Is Not Better Leads. It Is Fewer Leads Worth More.

Most investors hear "AI scoring" and think: more leads, better conversion, instant deals. That is not how it works.

The AI/Investor Score is the lead lever of the Data Priority Pyramid. Pull it and be marketing the same day, no build-out. It flags a property before it becomes an obvious, marketed list: the lowest-saturation data you can work.

On live SiftMap supply, the Investor Score runs 30.6 doors per deal at 80+ and 22.8 at 90+, against 218.1 for baseline unscored single-family. The 90-plus band surfaces roughly $5.7M to $7.2M gross per 1,000 doors worked, at 56 to 58 percent margins.

The sequencing principle: lead with the AI-score precision pull, run the native distressor lists in parallel. Never AND-stack Standard Distress on the score (48.4 doors per deal versus 30.6 alone). Add the First-to-Market courthouse layer once precision is producing. See the Data Priority Pyramid guide.

Three AI Models

The Three Scores That Change How You Prospect

DataSift runs three scoring models trained on different transaction patterns. One is proven, two are new expansions. All three use 1,800+ data points per property.

DataSift Sold Properties page showing 67.82% AI prediction rate across 1.6 million transactions

Nationwide AI accuracy: 67.82% of investor transactions predicted. 1,614,887 total transactions, 408,532 investor transactions, 277,070 correctly predicted by the model.

Investor AI Score (Off-Market)

The flagship model. Trained on historical off-market investor transactions across every county in the U.S. Each property receives a 0-100 score predicting how likely the owner is to sell directly to an investor.

Setting a minimum threshold of 50 in SiftMap cuts your list by roughly half while retaining the highest-probability sellers. Nationwide validation shows the model predicted 67.82% of all investor transactions.

Availability
AI Plan only ($1,250/mo)
Coverage
1 county included
Best For
Wholesalers, flippers, buy-and-hold outbound
Data Points
1,800+ per property

Realtor AI Score

Trained on listing behavior patterns to predict which properties are most likely to list on the MLS. Scores above 50 capture approximately 60% of all homes that will list.

This score is built for anyone who wants to get ahead of listings before they hit the market. Properties scoring high on the Realtor model often lack traditional distressor signals, making them invisible to conventional marketing lists.

Availability
$297/mo add-on or AI Plan
Coverage
Nationwide
Best For
Listing agents, real estate teams, listing-focused investors
Data Points
1,800+ per property

Investor AI Score (On-Market)

Scores every active MLS listing in the country by how likely it is to sell to an investor. No outbound marketing required. The deals are already listed. This score tells you which ones are worth making offers on.

Built for MLS offer systems. Filter to score 50+ and you are looking at the listed properties with the highest investor-acquisition probability. Skip the manual browsing and focus your offers where the data says they are most likely to close.

Availability
$297/mo add-on or AI Plan
Coverage
Nationwide
Best For
MLS offer systems, on-market flippers, re-traders
Data Points
1,800+ per property

How AI Scoring Works

Four stages from raw data to actionable list. Every property in your target area gets a score. You choose the threshold.

1,800+ DATA POINTS Property, owner, transaction, market, distressor signals MODEL TRAINING Historical investor transactions nationwide pattern recognition SCORE ASSIGNMENT 0-100 per property per model type SIFTMAP FILTER: SCORE 50+ Cuts list by ~50% while retaining highest-probability sellers 25,000 records → ~12,500 AI-filtered records

The score rarely drops drastically month-to-month on properties already above 50. Once a property is flagged as high-probability, it tends to stay flagged. So your AI-filtered list remains stable. You are not chasing a moving target.

Phase Readiness Assessment

The question is not whether to use the score, but how. Your Deal Flow Ladder phase and your budget set how you lead with it.

Phase 1: The On-Ramp

Standing up the flow on $0-$149 a month, the paid AI score is not in reach yet. Start with the same-day First-to-Market pull from the county clerk, where you are often the only call. Move to SiftMap precision once deal flow supports the Expert plan.

  • Your CRM: Free or Professional plan ($149/mo)
  • Your data: Fresh same-day FTM courthouse pulls (probate, foreclosure, tax sale, code violations, evictions)
  • The target: Upgrade to Expert ($499/mo, includes SiftMap Pro plus unlimited skip tracing) and lead with the Investor Score as soon as deal flow allows
  • Read the Phase 1: The Operator playbook →

Phase 2: The Bridge Option

Deals now fund delegation: every list gets 4 full attempts and data work is off your plate. Your standard setup is the Expert plan at $499/mo for Stacked Niche data and SiftMap Pro. AI scoring becomes an option when your bulk lists are large enough that filtering saves meaningful marketing dollars.

  • Your CRM: Expert plan ($499/mo)
  • Available add-ons: Realtor AI ($297/mo) and On-Market AI ($297/mo)
  • Off-Market score: Requires AI plan upgrade ($1,250/mo)
  • Key consideration: Expert + both add-ons = $1,093/mo. Still no Off-Market score. Full AI plan at $1,250/mo adds Off-Market plus 2x users and 2x monthly records.
  • Read the Phase 2: The Delegator playbook →

Phase 3: Primary Audience

This is who AI scoring was built for. Your team runs 48,000+ records through bulk sequential marketing. At that volume, a 50% list reduction from AI filtering saves thousands in marketing spend every month.

  • Growth tier: Expert plan ($499/mo) with optional add-ons
  • Enterprise tier: AI plan ($1,250/mo) with all three scores included
  • The math: 100K monthly records, 30 users, nationwide On-Market and Realtor scores, 1-county Off-Market score
  • When to upgrade: When marketing spend on unfiltered lists exceeds the $751 difference between Expert and AI plan
  • Read the Phase 3: The Manager playbook →

Phase 4: Depth Amplifier

Owning the machine means deep-prospecting every unreached door. Deep prospecting on 50-200 hyper-targeted records is the primary motion here. The Realtor AI Score and On-Market AI Score can surface properties in your niche that lack traditional distressor signals.

  • Your CRM: Professional ($149/mo) or Expert ($499/mo)
  • Best add-on: Realtor AI ($297/mo) for listing-focused strategies
  • Deep prospecting remains primary: AI supplements your 50-call-to-deal ratio, not replaces it
  • Off-Market score: Available only on AI plan ($1,250/mo). Overkill for the deep-niche motion alone.
  • Read the Phase 4: The Owner playbook →

How AI Scoring Connects to Everything Else

AI scoring is not a standalone tool. It plugs into five parts of your deal flow system. Click each connection to see how.

AI SCORING 1,800+ data points 3 models, 0-100 score Data Priority Pyramid Lead Lever SiftMap Filtering AI Score 50+ Layer Bulk Sequential AI Data as Source Sold Properties AI Validation Layer Phone Scoring Trestle on AI Lists

Data Priority Pyramid: The Lead Lever

The AI/Investor Score leads the pyramid: market it the same day, no build-out, with the acute native distressor lists as parallel pulls. First-to-Market courthouse data ($500-$2,000 per contract once built) is the consistency layer you add once precision is producing.

Read the full Data Priority Pyramid guide →

SiftMap Filtering: AI Score 50+ Layer

In SiftMap, the AI score filter is the final layer after base criteria (SFR, equity, ownership) and distressors. A minimum score of 50 cuts your list by roughly half; everything below 50 goes into a secondary hold-and-watch pool.

See the complete SiftMap filter setup →

Bulk Sequential Marketing: AI Data as Source

AI-filtered lists of 5,000-25,000+ records feed directly into your bulk sequential marketing pipeline. The power dialer handles volume. The AI filter handled quality. You are calling half the people and reaching a higher percentage of motivated sellers.

See the bulk sequential marketing flow →

Sold Properties: AI Validation Layer

Sold Properties shows the AI score each property had at time of sale: your validation loop. Filter by score 50-100 for the last 6 months and analyze what sold: price points, distressors, characteristics. The distressors present at sale tell you which lists to pull next.

Learn the Sold Properties validation workflow →

Phone Scoring: Trestle on AI-Filtered Lists

After AI filtering cuts your list from 25,000 to 12,500, run those numbers through Trestle phone scoring ($0.015/number). Score 81-100 goes to your call team first; score 0-20 gets dropped. The best numbers on the best properties.

See the Trestle phone scoring workflow →

Listing Prediction in Action

The Realtor AI Score predicts which properties are most likely to list. Layer it on your filters and the list shrinks to the highest-probability sellers.

880
Total Records
Mixed
Listing Likelihood
Higher
Marketing Cost

Starting filters: Off-Market AI score 50+, 15-30% equity, 5-8 years ownership, $300K-$600K value. You have 880 properties matching these criteria. Some are likely to list. Many are not. You are marketing to all of them.

346
Total Records
High
Listing Likelihood
61% Lower
Marketing Cost

Adding Realtor AI score 50+ cuts 880 records to 346, a 61% reduction. These are the properties statistically most likely to list: your pre-listing shortlist.

The highest-scoring properties often look "normal": no foreclosure, no tax delinquency, no code violations. Distressor lists miss them entirely. The Realtor AI Score reads behavioral patterns, not distress flags.

The Cost Math: Expert vs. AI Plan

Understanding the pricing structure tells you exactly when upgrading makes financial sense.

FeatureExpert ($499/mo)AI ($1,250/mo)
Users1530
Monthly Records50,000100,000
Skip TracingUnlimitedUnlimited
SiftMap ProIncludedIncluded
Investor Off-Market AINot available1 county
Realtor AI Score+$297/mo add-onNationwide
Investor On-Market AI+$297/mo add-onNationwide
Total (all available scores)$1,093/mo (no Off-Market)$1,250/mo (all three)

The breakpoint: Realtor and On-Market scores on Expert run $499 + $297 + $297 = $1,093/mo, and you still cannot get the Off-Market score. The AI plan at $1,250/mo adds Off-Market scoring, 30 users, and 100K monthly records. Off-Market justifies the upgrade.

Investor Score 90+
22.8 doors/deal
Investor Score 80+
30.6 doors/deal
Investor Score 70+
37.9 doors/deal
Investor Score 50+
66.9 doors/deal
Distress alone (no score)
118.1 doors/deal
Baseline, all single-family
218.1 doors/deal

Lower is better: doors per deal is the records you work to close one deal. Do not AND-stack Standard Distress on the score: Distress AND Score 80+ runs 48.4 doors per deal versus 30.6 for the score alone. Run them as parallel pulls.

AI Scoring in SiftMap

The AI score filter is one dropdown in SiftMap. Set your threshold, and half your list disappears. The good half stays.

In SiftMap, navigate to the AI Scores section in the filter panel. Set the minimum to 50 and the maximum to 100 for whichever score type matches your strategy. Investor Off-Market for outbound wholesaling. Realtor for listing prediction. On-Market for MLS offer systems.

The filter works alongside every other SiftMap criterion. So your full stack looks like: base criteria (SFR, equity, ownership) plus distressors (senior, tax delinquent, vacant) plus AI score 50+. Each layer narrows. AI is the final precision cut.

SiftMap AI score filter panel showing Investor Off-Market, Realtor, and Investor On-Market score thresholds

AI score filters in SiftMap. Set your minimum threshold to 50 for whichever score matches your strategy.

25,000
Zip-Filtered Records
All
Probability Range
$$$
Marketing Spend
~12,500
AI-Filtered Records
50-100
Probability Range
~50% Less
Marketing Spend

Set your minimum AI score to 50: the sweet spot for most operators. Above 50 correlates with investor purchases (equity, ownership duration, demographics, distressor presence); 60+ or 80+ narrows further. For the complete setup, see the SiftMap Mastery guide.

AI Readiness Scorecard

Rate yourself 1-5 on each dimension. Your total score tells you whether AI scoring is a smart investment right now.

Data Motion: Already pulling and working fresh lists (SiftMap or same-day FTM) consistently?
List Size: Lists large enough that AI filtering leaves workable volume?
Marketing Budget: Can sustain $499-$1,250/mo for data plus existing marketing?
Team Capacity: Callers and lead managers to work AI-filtered lists?
Validation Habit: Regularly check Sold Properties to validate targeting?
0/25
Data Motion List Size Budget Team Validation
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