How FrontRace turns your data into decisions
Traditional sales intelligence shows what happened. FrontRace explains why it happened and tells your team what to do next.
The problem we solve
Revenue teams have more data than ever and still can't reliably replicate success:
- Missing data. Companies track dozens of KPIs but still can't explain or predict wins and losses.
- Misread data. Leaders have endless dashboards, and misinterpretation produces poor decisions.
- Static processes. Standardized playbooks break down in real, dynamic deals.
The result: missed targets, inconsistent execution, and reactive decisions. FrontRace is built specifically to solve those three failures.
The three pillars
1. Success Metrics — solving missing data
FrontRace invents the metrics your dashboards aren't showing. Instead of stopping at win rate and pipeline coverage, it identifies the actual variables that drive successful outcomes — specific to your business, your buyers, and your motion.
Examples of what surfaces as a Success Metric:
- How many qualified stakeholders an opportunity has reached by a given stage.
- Whether the right kinds of conversations have happened — not just how many.
- Response cadence patterns that correlate with wins in your business (often not the ones you'd guess).
2. Priority Signals — solving misread data
Real-time indicators that point to where action will have the greatest impact. Reps and managers don't have to go hunting through dashboards — the things that matter come to them.
Signals answer questions like:
- Which deals look on-track in CRM but are actually slipping?
- Which reps are stuck on a pattern their manager can coach through?
- Which account is ready for a specific next step right now?
3. Decision Engine — solving static processes
A dynamic model that considers every opportunity-specific variable — stakeholder map, conversation history, competitive context, timing — and produces a recommended best next step. Not a generic playbook. The right move for this deal, today.
How the model is built
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Secure listening
FrontRace connects to your CRM, email, phone, video, enablement, and marketing systems. It reads — it doesn't force new workflows on your team.
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Normalize and enrich
Activity across tools is stitched to the right accounts, opportunities, and people, then enriched with conversation and relationship context.
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Learn from outcomes
Closed-won and closed-lost outcomes are the ground truth. The model learns which variables actually predicted each result — specific to your business.
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Score and surface
Live opportunities are continuously scored against the model. Priority Signals and next-step guidance are published to the UI, Slack, Teams, and email.
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Close the loop
Every outcome retrains the model. What worked gets reinforced. What didn't gets deprioritized. The guidance gets sharper every week.
Where FrontRace shows up
- Opportunity view — Success Metrics, risk signals, and the recommended next step for each deal.
- Rep dashboard — a prioritized list of today's most impactful actions.
- Manager dashboard — pipeline health, coaching opportunities, and team-wide signal rollups.
- Leader view — forecast explanation, segment comparisons, and drivers of hit or miss.
- Slack / Teams — channel and DM nudges when a deal needs attention.
AI that augments human judgment. FrontRace doesn't take actions for your reps or overwrite your CRM. It makes the human decision faster and better informed.
FAQ
Do reps need to change how they work?
No. FrontRace listens across the tools they already use. No new data entry, no extension to install, no workflow to adopt.
Is this a dashboard tool?
No. Dashboards describe the past. FrontRace is a decision intelligence platform — it tells you what matters now and what to do about it.
How is this different from a conversation intelligence tool?
Conversation intelligence is one input FrontRace uses, not the whole product. FrontRace combines conversations with CRM, email, phone, and activity data to model the full picture of a deal.
How long until we see value?
Success Metrics and initial signals appear within days of connecting your CRM and comms. The Decision Engine sharpens over the first few weeks as outcomes close.
How big does a team need to be?
FrontRace works best for teams with enough historical deal volume for the model to learn from — typically 10+ reps or a few hundred historical closed deals. Smaller teams can still benefit but will lean more on Success Metrics and Signals than the full Decision Engine.
For the exact metrics and signals FrontRace produces, see Metrics.