The Board-Level Control System
Pipeline volume is opinion. Audited forecast is fact.
CFOs and CEOs demand transparent unit economics for every investment. For the sales funnel, that transparency stops at CPL and CPO. Funnel Economics closes the gap between strategy and operational pipeline dynamics — re-assessing every movement in your Salesforce history like an automated auditor: objective, methodologically grounded, with direct control levers for sustainable ARR growth.
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The Cost of Not Knowing
What Is the Effective Value of Your Funnel?
And can you defend that number — to your board, to an investor, to yourself? Four figures the industry rarely puts on a slide.
Before the methodology — the math you already live with
37–60%
of revenue. What two listed B2B software companies spent on Sales & Marketing in fiscal year 2024: Salesforce 37%, Asana 60%.
Source: Salesforce, Inc., Annual Report on Form 10-K, fiscal year 2024; Asana, Inc., Annual Report on Form 10-K, fiscal year 2024 (individual company figures)
Funnel Economics is our answer.
Illustrative · Demo Data
Not Another Dashboard. An Analyst.
Staring at more charts is cognitive death. Funnel Economics puts a language model at the center — grounded through the MCP Server and the Knowledge Base — to read your pipeline, synthesize the root cause, and write the action plan. This is a sample report based on a real run, shortened and aligned with the current methodology. Step through what such a run produces.
Revenue Potential Radar
· New Business
In plain terms: using what actually happened last quarter (Q2 FY26), this shows the revenue potential calculated for the next 4 quarters (FY26 Q3 – FY27 Q2).
Not Just Insight. Direction.
Deterministic calculation → grounded Knowledge Base context → the model interprets. It never invents a number — it explains the ones that already arrived.
Executive Summary
The latest completed build model (R4Q BUILD, FY26 Q2) quantifies the structural revenue potential of the New Business pipeline at €1,107,545 (bEFV). Weighted by age against the SLA of the stage, the realistically achievable value drops to €638,479 (rEFV) — a risk markdown of €469,066 (-42.4% EVL). The run classifies this as Code Red: over two-fifths of calculated potential is endangered by process friction, not lack of market demand.
The root cause is highly localized: Discovery (+1187% BPV, +237 days), Business Alignment (+168% BPV, +134 days), and Consensus (+232% BPV, +464 days) hold the vast majority of active volume, most of it in the STALLED band. Negotiation is the only phase that runs faster than its SLA.
Root Cause Graph Reasoning
In Discovery, Business Alignment and Consensus, most of the open volume sits in the STALLED band: the total age of these deals is above the maximum SLA of their stage. This is the primary driver of the €469k leakage.
The -47.4% gap between trend and momentum is a sign, not a trigger. Behind it stands either a genuine market inflection or distortion by an isolated large deal — to be checked before board submission.
What Is Already Working
Efficient Negotiation Stage
Cycles run 10% faster than SLA. Once deals clear Consensus, win rate reaches 88.6% — the internal blueprint for fixing upstream stages.
Hygiene Trajectory
The EVL ratio improved from 76.9% (Q1) to 42.4% (Q2). Remediation is working. The ratio is judged against its own history, not against a fixed target.
Prescriptive Action Plan
Check the SLA of the Three Stages Against the Win History
In Discovery, actual dwell time is 257 days vs. a 20-day SLA, and 96% of the volume sits in the STALLED band; likewise Business Alignment and Consensus. First check, for this opportunity type, whether the SLA of these stages fits the organization's own win history. Only then are individual deals decided.
Check the cEFV Divergence
The cEFV divergence stands at -47.4%. Before board planning, establish whether a genuine market inflection or an isolated large deal is behind it, and read the divergence against its own history.
Verified against a live Salesforce sandbox · Funnel Economics AI Strategist
Request a place in the betaIllustrative example from shared, non-production demo data. Discover is meant for walking through an analysis like this on a demo org.