Metrics, signals, and scores
Reference for the numbers you'll see across FrontRace — what they mean, how they're computed, and how to act on them.
Success Metrics
New metrics that identify and measure the variables that drive successful outcomes. These go beyond what your CRM or BI tool already reports.
Stakeholder Coverage Success Metric
The share of required buying-committee roles FrontRace has observed real engagement with on an opportunity — not just CRM contact roles.
Conversation Quality
A composite score of whether the right kinds of conversations have happened by this stage — discovery, technical validation, commercial, etc. Learned from the patterns in your team's own winning deals.
Response Cadence Health
How closely the back-and-forth on an opportunity matches the patterns that correlate with wins in your business. Often the most predictive signal, and usually not the one teams would guess.
Executive Engagement
Whether senior stakeholders on both sides have engaged by the expected stage, and how recently.
Momentum
Whether activity on the deal is accelerating, flat, or decaying — weighted by the type of activity, not just volume.
Priority Signals
Real-time indicators that surface where action will have the greatest impact. Every signal includes a reason, a recommended next step, and a link to the deal.
Deal Risk Priority Signal
An opportunity that looks on-track in CRM but shows a pattern FrontRace has learned predicts a loss.
Stalled Deal
Momentum has decayed past a threshold and no activity is scheduled that would reverse it.
Coverage Gap
A key buying-committee role hasn't been reached, and the stage calls for it.
Coaching Opportunity
A rep-level pattern a manager can coach — e.g., skipping discovery, losing control of multi-threaded deals, dropping follow-ups in a specific stage.
Timing Signal
An external or internal cue that suggests this account is unusually likely to act right now — a new hire, a budget reset, a product trigger.
Decision Engine outputs
Win Likelihood Score
The model's current probability an open opportunity will close-won, given everything it knows today. Updates continuously as new activity lands.
win_likelihood = model(opportunity_features, outcomes_history)
Best Next Step
The specific action FrontRace recommends for this deal, right now — e.g., "Schedule technical validation with [Stakeholder]," or "Re-engage [Executive] with ROI case." Context-aware, not template-driven.
Confidence
How confident the engine is in a given recommendation, based on how similar this deal is to historical patterns.
Pipeline & performance metrics
Forecast
A bottom-up forecast built from Win Likelihood across open pipeline, cross-checked against historical conversion by stage and segment.
Forecast Explanation
The drivers behind any change to the forecast — which deals moved, why, and what changed in the underlying signals.
Pipeline Health
Composite of coverage, momentum, stakeholder quality, and risk concentration across open pipeline.
Win Rate by Segment
Historical close-won rate sliced by segment, product, rep, and other dimensions you've defined.
win_rate = closed_won / (closed_won + closed_lost)
Cycle Time
Median days from first qualified activity to closed-won, by segment.
How we display numbers
- Scores are shown bold with their driver explanations one click away.
- Signals always include a why and a recommended action — never a number without context.
- Low-confidence outputs are labeled; you can filter them out in any view.
- Directional arrows compare to the prior period of equal length.
Every metric is customizable. Success Metrics and the Decision Engine adapt to your segments, roles, and motion. What you see out of the box is a starting point — it sharpens as your team closes more deals.