RiskLync
Post-Acquisition Scoring Suite

Know Who Will Enroll — Before You Call

ProLync scores every lead for enrollment probability using identity resolution against 256 million consumer records. Four specialized models cover MA, DSNP, CSNP, and SNP — so you prioritize agents' time on leads that will actually convert.

750x

Enrollment lift (MA, T10 vs T1)

0.776

Best AUC (ProLync:SNP)

256M

Consumer records matched

<250ms

End-to-end scoring latency (P95)

Four Models, One API

Purpose-built models for every Medicare product

Each model is trained on real enrollment outcomes for its specific plan type. Call one or call all four.

ProLync:MA

Medicare Advantage

750x

lift

Scores MA leads against 256M consumer records for enrollment probability. Trained on 2024–2025 AEP outcomes.

AUC: 0.654<250ms256M records

ProLync:DSNP

Dual Special Needs

99.8x

lift

Identifies dual-eligible leads with high DSNP enrollment intent. Custom features for Medicaid + Medicare overlap.

AUC: 0.671<250ms256M records

ProLync:CSNP

Chronic Special Needs

48.6x

lift

Targets leads with chronic conditions eligible for CSNP plans. Condition-category features from identity resolution.

AUC: 0.663<250ms256M records

ProLync:SNP

Combined SNP

91x

lift

Unified Special Needs scoring across DSNP, CSNP, and I-SNP. Highest AUC in the suite at 0.776.

AUC: 0.776<250ms256M records
How It Works

From raw lead to enrollment prediction in 80ms

1

Submit lead data

Send phone, ZIP, name, age, and gender. More fields mean more identity resolution signal — but phone + ZIP alone still produce a score.

2

Identity resolution

ProLync matches the lead against 256M consumer records using probabilistic identity resolution. High-confidence matches unlock the full feature set.

3

Model-specific scoring

Each model (MA, DSNP, CSNP, SNP) runs independently. You choose which models to call — or call all four and use the best signal for your campaign.

4

Enriched response

You get a tier (1–10), a propensity score, match confidence, and the features that drove the prediction. Use it for routing, prioritization, or agent assignment.

Better together: ZipLync + ProLync

Use ZipLync to filter at the ping — then enrich winners with ProLync for routing, prioritization, and agent assignment.

ZipLync

Pre-bid · <250ms

  • Phone + ZIP only — no PII required
  • Scores in under 250 ms at the ping
  • Filters waste before you buy

ProLync

Post-acquisition · <250ms

  • Full identity resolution (256M records)
  • Model-specific enrollment prediction
  • Routes best leads to best agents

Stop guessing which leads will enroll

Start a free pilot and see ProLync score your real traffic. No integration fee, no commitment — just scored leads in your inbox within a week.

    ProLync — Post-Acquisition Enrollment Scoring Suite | RiskLync