Rank eligible loan officers using loan purpose, state, source, partner context, timeline, capacity, availability, and mature application or 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 qualified borrower inquiries and scheduled mortgage consultations. The approach should be validated on mature outcomes before live use.
Loan officers may specialize by purchase, refinance, loan product, market, partner channel, or customer journey. A governed assignment layer can use operational context while preserving licensing and fair-lending requirements.
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.
Rank only licensed, eligible loan officers using approved operational inputs. Never use protected classes or proxies, and never let assignment determine approval, pricing, or 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 |
|---|---|---|
| Appointment completion rate | Measures whether assignment creates value across qualified borrower inquiries and scheduled mortgage consultations. | Compare appointments that have had enough time to reach an outcome |
| Application rate | Measures whether assignment creates value across qualified borrower inquiries and scheduled mortgage consultations. | Compare similar periods, lead sources, and assignment approaches |
| Funded-loan rate | Measures whether assignment creates value across qualified borrower inquiries and scheduled mortgage consultations. | Compare appointments assigned to recommended representatives |
| Days to application | Measures whether assignment creates value across qualified borrower inquiries and scheduled mortgage consultations. | Review prediction accuracy alongside actual sales and revenue |
| Revenue per qualified inquiry | Measures whether assignment creates value across qualified borrower inquiries and scheduled mortgage consultations. | 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 qualified borrower inquiries and scheduled mortgage consultations. 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.
Rank only licensed, eligible loan officers using approved operational inputs. Never use protected classes or proxies, and never let assignment determine approval, pricing, or terms.
Improve mortgage lead assignment using loan purpose, state, source, timing, language, officer licensing, availability, capacity, and mature 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.
