Sales Metrics & Forecasting

Sales Metrics & Forecasting

Sales metrics serve two purposes: understanding the current state of the revenue system (diagnostic) and predicting its future state (predictive). The challenge is choosing metrics that are genuinely informative rather than metrics that look good but mislead.

The Core Sales Metrics

ARR / MRR (Annual/Monthly Recurring Revenue): the foundation of subscription business health. Movements:

• New ARR: revenue from new customers in the period
• Expansion ARR: additional revenue from existing customers (upsells, seat increases)
• Churned ARR: revenue lost from cancellations or downgrades
• Net New ARR = New ARR + Expansion ARR - Churned ARR

A business with $100K New ARR, $30K Expansion ARR, and $20K Churned ARR has $110K Net New ARR. Expansion ARR that exceeds Churned ARR (net NRR > 100%) is the hallmark of a business that gets more valuable with age.

Win Rate: percentage of qualified opportunities that close. Benchmarks vary by segment: enterprise win rates of 15-25% are typical; SMB win rates of 25-40% are more common. However, win rate in isolation is misleading:

• Too high may indicate under-prospecting — not enough ambitious targets in the pipeline
• Too low may indicate poor qualification (many unqualified deals consuming time) or competitive weakness
• Win rate should be tracked against specific competitors ("Win rate vs Competitor X is 40%; win rate vs Competitor Y is 18%" — a signal about product-market positioning)

Average Deal Size: total ARR closed / number of deals. Movements in average deal size indicate whether the team is successfully moving upmarket, or whether expansion into smaller deals is diluting averages. Tracking average deal size by segment and sales motion is more informative than the aggregate.

Average Sales Cycle: time from first qualified conversation to close. A lengthening sales cycle indicates:

• Market conditions are more cautious (more reviews, more committees)
• Deals are moving upmarket (larger deals take longer)
• Qualification is weakening (reps are working prospects who aren't ready to buy)
• Process discipline is declining (follow-through between stages is slower)

Sales Cycle by Stage: breaking down cycle time by stage identifies the specific bottleneck. Is the longest stage Discovery (reps are slow to advance from first call to demo)? Proposal (legal review is taking 4 weeks)? Evaluation (no compelling event, deals sit)? Different bottlenecks require different interventions.

Quota Setting and Attainment

Quota setting is one of the most consequential and most mishandled activities in sales management.

Quota that's too high: majority of reps miss quota. Demoralisation, attrition, reduced effort (since quota is not achievable), and inflated forecasts (reps hold pipeline too long hoping to hit quota).

Quota that's too low: majority of reps hit quota easily. Comp plan cost increases; team capacity is underutilised; top performers are underpaid relative to market; the business misses its growth target.

The target distribution: 60-70% of reps hit 100%+ of quota; 15-20% significantly exceed quota; 15-20% are below quota and being coached or exited. This distribution indicates quota is set aggressively but achievably — it rewards the median, differentiates the top, and creates visibility on the bottom.

Quota should be based on:

• Historical performance (what did comparable reps produce in comparable territories?)
• Market opportunity in the territory
• Ramp assumptions (new hires should have ramped quotas that grow to full quota over 3-6 months)
• Company revenue target (total quota should be 1.1-1.3× the revenue target, accounting for attrition and underperformance)

Forecasting Accuracy

A forecast is a prediction of revenue in a given period. Forecast accuracy — the gap between predicted and actual revenue — is a management metric that reveals:

• Consistently high forecasts: reps are optimistic and managers are not challenging pipeline health
• Consistently low forecasts: reps are sandbagging to manage expectations and earn accelerators
• High variance: forecasting methodology is unreliable; deals are closing or dying unexpectedly

Improving forecast accuracy requires:

• Better qualification discipline: only SQLs with identified pain, economic buyer access, and a compelling event belong in the forecast
• Honest deal reviews: managers must challenge reps on each deal's stage and likelihood, not rubber-stamp their self-reporting
• Multiple forecasting methods: rep judgment + stage-probability weighting + activity-based signals produce better forecasts than any single method
• Regular calibration: tracking forecast accuracy by rep and adjusting the process based on systematic errors

The best forecasters in sales are not the most optimistic — they are the most honest about what they know and don't know about each deal.

Metrics That Mislead

Total pipeline value: a pipeline full of stale, optimistically staged deals looks large but produces little. Pipeline quality (stage distribution, deal age, activity recency) matters more than raw value.

Activity volume without conversion: 200 cold emails sent per week is meaningless without knowing how many became conversations.

Quota attainment alone: hitting quota in a down market may reflect a lowered quota; missing quota in an exceptional growth market may reflect inadequate management of an understaffed team. Quota attainment in context (market conditions, team tenure, territory quality) is the informative metric.