Potential pre-assignment inputs
Useful fields depend on what is consistently populated.
- opportunity and lifecycle stage
- lead source and campaign
- activity and appointment history
- owner and territory
- won and lost outcomes
- available prospect context
Add appointment-to-agent intelligence to Salesforce.
Use Salesforce opportunity, activity, source, owner, territory, and outcome history to evaluate machine-learning-driven sales assignment.
CRM guideUse your own evidence
Start with historical appointments, realistic eligibility rules, and outcomes that have had time to mature.
Your Opportunity
How can Salesforce support performance-based appointment assignment?
Salesforce can hold rich prospect and opportunity history, but standard assignment rules usually express eligibility and workflow rather than the probability that a specific eligible rep will win a specific appointment. Lithium Six adds that decision layer while Salesforce remains the system of record.
What matters most
- opportunity and lifecycle stage
- lead source and campaign
- territory rules
- mature won and lost outcomes
What the integration needs to preserve
The integration maps CRM-specific objects and stages into a stable appointment-level record: prospect, source, appointment, assigned representative, property or opportunity context, and mature outcome.
Client-specific mappings remain explicit because pipelines, custom fields, and operating definitions differ even among companies using the same platform.
Eligibility and policy controls
CRM automation and business rules remain authoritative.
- territory rules
- availability
- product eligibility
- capacity limits
- required certifications
How to evaluate the result
| Measurement | Why it matters | How to use it |
|---|---|---|
| Closed appointment win rate | Confirms that the Salesforce integration supports a reliable assignment decision. | Compare appointments that have had enough time to reach an outcome |
| Revenue per appointment | Confirms that the Salesforce integration supports a reliable assignment decision. | Compare similar periods, lead sources, and assignment approaches |
| Recommendation alignment | Confirms that the Salesforce integration supports a reliable assignment decision. | Compare appointments assigned to recommended representatives |
| Probability calibration | Confirms that the Salesforce integration supports a reliable assignment decision. | Review prediction accuracy alongside actual sales and revenue |
| Assignment coverage | Confirms that the Salesforce integration supports a reliable assignment decision. | Check for changes in lead mix and team performance before changing your approach |
From CRM history to a live, measurable decision
Connect your sales history
Isotope Labs organizes your appointments, representative assignments, and outcomes into a history we can evaluate, using information available before each assignment.
Test predictive accuracy
We test predictions against historical outcomes kept separate from model training to identify reliable matches between opportunities and sales representatives.
Backtest realistic assignments
We evaluate historical assignment scenarios that reflect representative eligibility, territories, availability, and workload limits.
Track adoption and sales results
See which recommendations your team uses and how those appointments perform, including close rate and revenue per appointment as outcomes become available.
Common questions
How can Salesforce support performance-based appointment assignment?
Salesforce can hold rich prospect and opportunity history, but standard assignment rules usually express eligibility and workflow rather than the probability that a specific eligible rep will win a specific appointment. Lithium Six adds that decision layer while Salesforce remains the system of record.
Does Lithium Six replace Salesforce?
No. Salesforce remains the system of record. Lithium Six adds a client-specific ranking layer for eligible representatives.
Which fields can be used?
Only fields available before assignment should be considered. Outcome-revealing fields such as a final stage, sale date, or contract value must be excluded from prediction inputs.
How is the integration validated?
The first step is a field and outcome mapping, followed by appointment-level quality checks and a held-out historical model evaluation.
Continue the evaluation
CRM guide
Use LeadPerfection appointment history to improve in-home sales assignment.
Rank eligible in-home sales representatives using LeadPerfection lead, source, product, appointment, salesperson, and outcome history.
CRM guideUse AccuLynx job history to improve roofing sales assignment.
Evaluate AccuLynx lead, job, appointment, source, salesperson, property, and outcome data for roofing-specific assignment optimization.
Strategy guideIs your CRM data ready for assignment modeling?
Review the fields, definitions, and history needed for a credible evaluation.
Complimentary fit review
Discover where better sales assignment could improve your results.
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.
- CRM data-readiness review
- Historical model evaluation
- Backtesting that reflects your team and assignment rules
- Plain-language opportunity review