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Predict Which Mortgage Leads Will Convert
Mortgage lenders and lead aggregators are sitting on a goldmine of first-party data. Yet, many still rely on outdated rule-based systems or gut instincts to score and assign leads—resulting in wasted marketing spend, missed opportunities, and underperforming sales teams.
ProPair’s AI-powered lead scoring platform transforms your CRM and lead management workflows. With predictive modeling tailored to your historical sales data, ProPair helps mortgage organizations prioritize, assign, and convert leads more efficiently—driving up to 40% improvement in lead conversion.
Why Manual Lead Scoring Fails
Traditional lead scoring systems are rigid, often assigning arbitrary values to surface-level attributes like credit score, income, or ZIP code. These methods:
- Ignore dynamic behavior and engagement signals
- Can’t adapt to market changes or agent performance patterns
- Fail to evolve with new data
Desirability ≠ Convertibility
Just because a lead “looks good” doesn’t mean they will convert. Predictive AI identifies what actually converts by analyzing:
- Agent performance histories
- Engagement timelines
- Conversion outcomes
- Source quality and campaign performance
Introducing ProPair’s Predictive Lead Scoring Platform
ProPair’s custom MATCH and RANK engines integrate directly with your CRM, LMS, dialer, or marketing automation platform. Built on machine learning models trained on your historical data, the system delivers real-time predictive scores and recommendations for every lead.
What You Get:
- SCORE: Predicts likelihood of conversion
- MATCH: Identifies the most compatible loan officer for the lead
- RANK: Prioritizes follow-up timing and actions
These values attach directly to each lead record, making your lead scoring system smarter, more responsive, and outcome-driven.
Use Case #1: Smarter Lead Assignment
Most lenders assign leads by seniority, rotation, or round-robin. ProPair improves this by identifying the rep most likely to convert each lead based on past performance.
Result:
- 12% lift in credit pulls with predictive assignment
- Equitable distribution that boosts overall team performance
Use Case #2: Follow-Up Prioritization
Reps waste valuable time chasing low-likelihood leads. ProPair scores follow-up actions based on signals like recency, engagement, and behavior—ensuring reps focus on high-conversion targets first.
Result:
- Increased conversion without increasing call volume
- Reduced lead queue clutter and “queue death”
Use Case #3: Aged Lead Recovery
Think your older leads are dead? Think again. ProPair’s models rescore aged leads weekly to detect renewed intent or engagement signals.
Result:
- 15% recovery rate from aged leads
- Reduced reliance on generic reactivation campaigns
Fast Integration with Your Tech Stack
ProPair integrates with systems like Salesforce, HubSpot, Velocify, and Five9 in as little as two weeks. Our ML Action Plan includes:
- Data review and feasibility check
- Custom model development
- CRM configuration for value delivery
- Weekly performance monitoring and retuning
See Your Missed Opportunities
Let us run a simulation using your own CRM or dialer data. We’ll show you exactly how many leads could have converted with predictive scoring and assignment.
Don’t leave closings to chance. Use your data to predict what works.
Schedule Your Free AI/ML Action Plan
Take the guesswork out of lead management. Book a free strategy call and see how ProPair can:
- Increase conversions by 10-40%
- Boost agent productivity
- Maximize ROI from your marketing budget
