Improve property and casualty lead assignment using product bundle, state, source, policy context, urgency, channel, producer capacity, and bind 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 home, auto, umbrella, renters, and personal-lines package inquiries. The approach should be validated on mature outcomes before live use.
A monoline auto quote, a home closing, a multi-policy household, and a complex umbrella discussion create different coverage conversations. Producer specialization and response speed can influence quote completion and binding.
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.
Assignment ranks eligible producers. It should not determine insurance pricing, underwriting acceptance, coverage terms, or claims treatment.
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 |
|---|---|---|
| Quote completion rate | Measures whether assignment creates value across home, auto, umbrella, renters, and personal-lines package inquiries. | Compare appointments that have had enough time to reach an outcome |
| Quote-to-bind rate | Measures whether assignment creates value across home, auto, umbrella, renters, and personal-lines package inquiries. | Compare similar periods, lead sources, and assignment approaches |
| Policies per household | Measures whether assignment creates value across home, auto, umbrella, renters, and personal-lines package inquiries. | Compare appointments assigned to recommended representatives |
| Written premium per inquiry | Measures whether assignment creates value across home, auto, umbrella, renters, and personal-lines package inquiries. | Review prediction accuracy alongside actual sales and revenue |
| Speed to first contact | Measures whether assignment creates value across home, auto, umbrella, renters, and personal-lines package 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 home, auto, umbrella, renters, and personal-lines package 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.
Assignment ranks eligible producers. It should not determine insurance pricing, underwriting acceptance, coverage terms, or claims treatment.
Rank eligible health-insurance producers using market, product, employer or household context, source, timing, language, availability, and mature 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.
