Improve mortgage lead assignment using loan purpose, state, source, timing, language, officer licensing, availability, capacity, and mature funded-loan outcomes.
Start with historical appointments, realistic eligibility rules, and outcomes that have had time to mature.
Organizations can improve assignment by ranking eligible representatives for each qualified opportunity using context available before the conversation, while preserving licensing, territory, capacity, and other operating rules. In this market, the relevant opportunities include purchase, refinance, home-equity, and mortgage prequalification inquiries. The approach should be validated on mature outcomes before live use.
Mortgage inquiries differ by loan purpose, property state, buying timeline, source, communication preference, and product need. Assignment must first satisfy licensing, geography, company policy, and fair-lending controls.
Lithium Six tests whether those differences create repeatable representative-opportunity fit on held-out history. It does not assume a demographic, source, project, or salesperson effect before the evidence supports it.
Mortgage assignment requires formal fair-lending governance. Protected traits and proxies must not be used, and the model must not determine credit eligibility, pricing, underwriting, or loan terms.
Use fields that are known before the sales conversation begins.
Rank only representatives who can realistically receive the appointment.
| Measurement | Why it matters | How to use it |
|---|---|---|
| Contact-to-application rate | Measures whether assignment creates value across purchase, refinance, home-equity, and mortgage prequalification inquiries. | Compare appointments that have had enough time to reach an outcome |
| Application completion rate | Measures whether assignment creates value across purchase, refinance, home-equity, and mortgage prequalification inquiries. | Compare similar periods, lead sources, and assignment approaches |
| Funded loans per qualified inquiry | Measures whether assignment creates value across purchase, refinance, home-equity, and mortgage prequalification inquiries. | Compare appointments assigned to recommended representatives |
| Revenue per funded-loan cohort | Measures whether assignment creates value across purchase, refinance, home-equity, and mortgage prequalification inquiries. | Review prediction accuracy alongside actual sales and revenue |
| Speed to first response | Measures whether assignment creates value across purchase, refinance, home-equity, and mortgage prequalification inquiries. | Check for changes in lead mix and team performance before changing your approach |
Isotope Labs organizes your appointments, representative assignments, and outcomes into a history we can evaluate, using information available before each assignment.
We test predictions against historical outcomes kept separate from model training to identify reliable matches between opportunities and sales representatives.
We evaluate historical assignment scenarios that reflect representative eligibility, territories, availability, and workload limits.
See which recommendations your team uses and how those appointments perform, including close rate and revenue per appointment as outcomes become available.
Organizations can improve assignment by ranking eligible representatives for each qualified opportunity using context available before the conversation, while preserving licensing, territory, capacity, and other operating rules. In this market, the relevant opportunities include purchase, refinance, home-equity, and mortgage prequalification inquiries. The approach should be validated on mature outcomes before live use.
No. The CRM remains the system of record. Lithium Six uses approved CRM data to evaluate and return a ranked list of eligible representatives.
The useful amount depends on appointment volume, team size, outcome quality, and opportunity variety. Isotope Labs begins with a complimentary data-readiness review.
Yes. Recommendations can be limited by territory, availability, skills, licensing, capacity, and other client-defined eligibility rules.
Mortgage assignment requires formal fair-lending governance. Protected traits and proxies must not be used, and the model must not determine credit eligibility, pricing, underwriting, or loan terms.
Rank eligible loan officers using loan purpose, state, source, partner context, timeline, capacity, availability, and mature application or funded-loan outcomes.
Strategy guideReview the fields, definitions, and history needed for a credible evaluation.
Strategy guideConnect win-rate improvement to revenue per appointment and booked revenue.
Share a representative CRM export or connect your data. Isotope Labs will evaluate data readiness, representative-performance variation, and the potential value of model-guided assignment before a live rollout.
