Scope drives complexity
Whole-home replacements and smaller targeted projects create different decision processes and values.

Identify the eligible consultant with the strongest predicted fit for each in-home window, door, or whole-home replacement appointment.
A single entry door, partial replacement, and whole-home project create different economics, objections, and consultant fit.
Rank eligible window and door sales consultants using source, project scope, home context, financing, market, and historical agent fit.
Window and door appointments vary by project scope, homeowner motivation, efficiency goals, financing, material preference, property age, and lead source. Raw consultant close rates rarely capture those differences fairly.
A client-specific model can test whether consultant strengths vary across these contexts and whether model-guided assignment improves expected wins within product, territory, and schedule constraints.
Whole-home replacements and smaller targeted projects create different decision processes and values.
Showroom, search, referral, event, and aggregator appointments can require different approaches.
Win rate and revenue per appointment should be reviewed together to avoid optimizing only easy small jobs.
Pre-assignment context can describe both buying intent and project complexity.
The eligible pool may depend on more than geography.
| Measurement | Why it matters for Windows and Doors | How to use it |
|---|---|---|
| Issued appointment win rate | Core conversion measure | Use consistent cancel and no-demo rules |
| Revenue per appointment | Reflects project scope | Monitor alongside win rate |
| Product-source-agent fit | Tests conditional performance | Require stable categories |
| Close-rate lift by alignment | Measures realized use | Compare matched periods and source mix |
Connect issued appointments, project scopes, sources, consultants, properties, outcomes, and contract values to a consistent appointment-level record.
Measure whether agent performance changes across project scope, source, offer, home, financing, market, and customer contexts rather than relying on one global close rate.
Estimate the opportunity while respecting eligibility, availability, territory, and realistic workload limits.
Return a ranked list of eligible agents where the team already makes the assignment decision.
Isotope Labs provides a complimentary CRM integration and historical evaluation before recommending a live rollout. You receive the evidence, limitations, operating requirements, and a clear next step.
No. Lithium Six works as an assignment intelligence layer. The CRM remains the system of record while Lithium Six evaluates the eligible agent options for an appointment.
The answer depends on appointment volume, outcome quality, team size, and how often agents appear across different prospect types. Isotope Labs begins with a complimentary data-readiness and historical fit review.
Yes. Recommendations can be limited to agents who meet the client's eligibility, availability, territory, licensing, and other operating rules.
That is the objective: make a better assignment decision with the appointments already being generated. The historical evaluation determines whether the client's data supports a credible opportunity before rollout.
Continue with practical guidance, evaluation criteria, and next steps.
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Data guideContinue with practical guidance, evaluation criteria, and next steps.
Share a representative CRM export or connect your data. Isotope Labs will evaluate data readiness, agent-performance variation, and the potential value of model-guided assignment at no charge.