Assign final-expense inquiries using state, source, contact history, appointment format, product eligibility, producer capacity, and validated placement 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 final-expense and simplified-issue insurance inquiries. The approach should be validated on mature outcomes before live use.
Final-expense programs often invest heavily in direct mail, digital, transfer, and aged leads. Contactability, state eligibility, source quality, appointment format, and producer follow-through create meaningful operational differences before underwriting begins.
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.
Use assignment to select an eligible producer, not to infer health status or make underwriting decisions. Sensitive health data should not be an assignment feature.
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 rate | Measures whether assignment creates value across final-expense and simplified-issue insurance inquiries. | Compare appointments that have had enough time to reach an outcome |
| Appointment completion rate | Measures whether assignment creates value across final-expense and simplified-issue insurance inquiries. | Compare similar periods, lead sources, and assignment approaches |
| Application rate | Measures whether assignment creates value across final-expense and simplified-issue insurance inquiries. | Compare appointments assigned to recommended representatives |
| Placed premium per lead | Measures whether assignment creates value across final-expense and simplified-issue insurance inquiries. | Review prediction accuracy alongside actual sales and revenue |
| Policy retention after the defined review period | Measures whether assignment creates value across final-expense and simplified-issue insurance 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 final-expense and simplified-issue insurance 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.
Use assignment to select an eligible producer, not to infer health status or make underwriting decisions. Sensitive health data should not be an assignment feature.
Improve property and casualty lead assignment using product bundle, state, source, policy context, urgency, channel, producer capacity, and bind outcomes.
Industry guideImprove life insurance lead assignment using product interest, state, source, household objective, contact preference, capacity, and mature policy outcomes.
Strategy guideReview the fields, definitions, and history needed for a credible evaluation.
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.
