Assign landscape-design and hardscape consultations using project scope, property, budget, source, season, market, and consultant-fit patterns.
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 landscape design, hardscape, drainage, and outdoor-living consultations. The approach should be validated on mature outcomes before live use.
Planting plans, patios, retaining walls, drainage, irrigation, and complete outdoor environments vary in design intensity, technical risk, and investment. The consultant’s strengths should fit the opportunity.
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 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 |
|---|---|---|
| Consultation win rate | Measures whether assignment creates value across landscape design, hardscape, drainage, and outdoor-living consultations. | Compare appointments that have had enough time to reach an outcome |
| Revenue per consultation | Measures whether assignment creates value across landscape design, hardscape, drainage, and outdoor-living consultations. | Compare similar periods, lead sources, and assignment approaches |
| Design-to-build conversion | Measures whether assignment creates value across landscape design, hardscape, drainage, and outdoor-living consultations. | Compare appointments assigned to recommended representatives |
| Average project value | Measures whether assignment creates value across landscape design, hardscape, drainage, and outdoor-living consultations. | Review prediction accuracy alongside actual sales and revenue |
| Sales-cycle length | Measures whether assignment creates value across landscape design, hardscape, drainage, and outdoor-living 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 landscape design, hardscape, drainage, and outdoor-living 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.
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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.
