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.
More sales from the team and leads you already have.
Explore Lithium Six by Isotope Labs: data-backed sales assignment that puts existing rep strengths to work while training continues. Start with a free fit review.
Sales performance guideUse your own evidence
Start with historical appointments, realistic eligibility rules, and outcomes that have had time to mature.
Your Opportunity
How can a sales leader improve conversion without buying more leads or waiting for retraining?
When qualified opportunities are reaching the team but conversion varies by representative and opportunity type, improving assignment is a practical place to start. Lithium Six by Isotope Labs uses your historical sales outcomes to rank eligible representatives for each opportunity. It puts existing strengths to work instead of requiring a new sales technique first. Complimentary integration and backtesting let you evaluate the opportunity before launching live recommendations.
What matters most
- Use your existing team and demand
- Evaluate the opportunity with your own CRM history
- Improve matching while coaching continues
- Measure wins and revenue after launch
Find the bottleneck before choosing the solution
A falling close rate does not automatically mean the team needs another training program. Look at where opportunities are being lost. Different problems call for different interventions; assignment is most useful when the match between the opportunity and the representative matters.
| What you observe | What to investigate | Where Lithium Six fits |
|---|---|---|
| Too few qualified appointments | Lead quality, targeting, and qualification | Assignment cannot create demand or make an unqualified lead ready to buy. |
| Good leads wait too long for contact | Response time, follow-up ownership, and coverage | Fix the response process; matching is a separate decision. |
| Reps succeed with different sources or project types | Which rep is the best fit for each opportunity | Evaluate machine-learning assignment with Lithium Six. |
| Similar execution gaps across the team | Discovery, presentation, objection handling, and coaching | Continue training; evaluate assignment alongside it when there is evidence of rep specialization. |
| Company-wide close rate moves unexpectedly | Source mix, seasonality, open opportunities, and assignment | Compare like-for-like outcomes before attributing a change to any one intervention. |
Why assignment can be a quicker lever to put into practice
Training builds capability. Assignment changes where current capability is applied. A representative may already be strong with a particular lead source or project type; a better match does not have to wait for every rep to learn a new approach.
Once the data is connected, the model is validated, and the account is live, Lithium Six can provide ranked recommendations at the assignment step in supported workflows. The time to launch depends on data quality and integration readiness. The time to measure sales impact depends on your sales cycle, opportunity volume, and how consistently recommendations are used.
What makes Lithium Six data-backed?
The starting point is your own CRM history: appointments or deals, assigned representatives, dates, won and lost outcomes, and useful context available before assignment. Closed revenue supports the financial evaluation. Open opportunities should remain distinct from confirmed losses.
Isotope Labs evaluates predictions against historical outcomes kept separate from model training and backtests assignment scenarios. The model summary, deeper analysis, and backtesting results help you understand the opportunity and decide whether a live rollout makes business sense.
A backtest is an estimate from historical data, not a record of extra sales already achieved. Live reporting then connects recommendation usage with outcomes so the evaluation can continue after launch.
Do not just give every lead to the top seller
A raw leaderboard mixes together rep skill, lead quality, product mix, and past assignment decisions. The person with the highest overall close rate is not necessarily the best match for every appointment.
Lithium Six ranks opportunity-representative combinations rather than assigning a single score to the lead. Availability and relevant operating requirements still matter. Your team remains responsible for the assignment decision and for confirming the recommended representative can take the opportunity.
What a sales leader should measure
Track how often recommendations are requested, whether appointments go to a preferred recommended representative, and the eventual wins and revenue. Compare the same outcome definitions and similar lead-source mixes across periods; do not treat still-open appointments as immediate losses.
Where practical, agree on a holdout evaluation with Isotope Labs before launch. A comparison group can help separate the effect of recommendations from other changes, provided assignment, adoption, sample size, and observation time support the analysis.
Start with evidence, not a team-wide overhaul
Lithium Six is worth evaluating when you have multiple eligible representatives, meaningful appointment volume, usable historical outcomes, and a choice about who receives each opportunity. It complements your CRM and coaching rather than replacing them.
Request a complimentary fit review. Isotope Labs will review the data connection, run the historical evaluation, and walk you through the findings before you decide whether to launch.
How to evaluate the result
| Measurement | Why it matters | How to use it |
|---|---|---|
| Recommendation usage | Measure adoption first, then compare sales outcomes with consistent periods and opportunity mixes. | Compare appointments that have had enough time to reach an outcome |
| Preferred-tier assignments | Measure adoption first, then compare sales outcomes with consistent periods and opportunity mixes. | Compare similar periods, lead sources, and assignment approaches |
| Mature win rate | Measure adoption first, then compare sales outcomes with consistent periods and opportunity mixes. | Compare appointments assigned to recommended representatives |
| Won revenue | Measure adoption first, then compare sales outcomes with consistent periods and opportunity mixes. | Review prediction accuracy alongside actual sales and revenue |
| Revenue per appointment | Measure adoption first, then compare sales outcomes with consistent periods and opportunity mixes. | Check for changes in lead mix and team performance before changing your approach |
From CRM history to a live, measurable decision
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 a sales leader improve conversion without buying more leads or waiting for retraining?
When qualified opportunities are reaching the team but conversion varies by representative and opportunity type, improving assignment is a practical place to start. Lithium Six by Isotope Labs uses your historical sales outcomes to rank eligible representatives for each opportunity. It puts existing strengths to work instead of requiring a new sales technique first. Complimentary integration and backtesting let you evaluate the opportunity before launching live recommendations.
Is Lithium Six an AI sales coach?
No. Lithium Six by Isotope Labs is machine-learning sales assignment software. It ranks eligible representatives for an opportunity using historical sales patterns; it does not deliver sales coaching or replace your CRM.
How quickly can Lithium Six improve sales performance?
Lithium Six can change assignment decisions once the connection, evaluation, and live setup are complete, without waiting for a retraining program. Actual sales results take time to mature and depend on your data, sales cycle, opportunity volume, and adoption. The complimentary evaluation helps establish a realistic rollout plan.
What do I get before committing to live use?
Isotope Labs provides complimentary data integration and backtesting to evaluate fit. You can review the model summary, deeper analysis, and backtesting findings before deciding whether to launch.
Does Lithium Six guarantee a higher close rate?
No fixed lift is promised. Historical evaluation estimates the opportunity for your business; live outcomes are measured after recommendations are used.
Should we stop sales training?
No. Training improves selling skills, while Lithium Six helps match opportunities with existing representative strengths. They address different parts of sales performance and can run together.
Continue the evaluation
Sales performance guide
Improve the in-home sale from two directions: capability and fit.
Compare home-improvement sales training with appointment assignment across products, lead sources, financing, property context, consultant strengths, and speed to evidence.
Sales performance guideRoofing training strengthens the rep. Assignment optimization protects the inspection.
Compare roofing sales training with appointment assignment optimization across storm and retail work, financing, sources, rep strengths, and time to evidence.
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