Sales

Average Deal Size

Definition

Mean dollar value across active pipeline opportunities (Pipeline Value / Pipeline Deal Count). Distinct from sales.avg_contract_value (ACV) which measures closed-won deals — average_deal_size is forward-looking pipeline-shape, ACV is realized output. Common pitfall: a few oversized deals materially skew the average — always inspect median_deal_size alongside; a large gap between average and median signals a few mega-deals that drive most of the projected number, which concentrates pipeline risk.

Why it matters

Forward-looking signal for ACV mix-shift before it appears in closed-won numbers — pipeline-size trending up usually shows up in closed-won-size 1–2 cycles later. Boards use the lead-time to ask "is this an intentional up-market move or a mix drift to correct?"

How it's calculated

Average Deal Size = Pipeline Value / Pipeline Deal Count. Same value convention (TCV or ACV) as the upstream metrics. Always report alongside Median Deal Size for skew detection.

How to interpret it

Track the spread (average − median) over time: stable, narrow spread = healthy uniform pipeline; widening spread = increasing concentration risk in a few oversized deals (those deals slipping then becomes catastrophic to the period). Average rising faster than median = up-market mix-shift in pipeline.

Source

Editorial definition As of 2026-04-01

imboard Editorial

Stage relevance

Series A Recommended Series B Recommended Series C Recommended Public Recommended

Typically owned by

Sales

Related KPIs

Median Deal Size

Median dollar value across active pipeline opportunities — the typical deal in the pipeline, robust against the few-big-deals skew that distorts the average. The honest read on the "core motion" deal-size; if the team is winning a few oversized deals but the median is shrinking, the underlying motion is degrading even though the topline numbers look fine. Common pitfall: omitting median in dashboards in favor of just the average lets concentration risk hide. A best-practice board pack always shows both.

Pipeline Value

Sum of the dollar value of all active deals currently in the sales pipeline — unweighted (raw deal-value sum, not probability-weighted). Boards read this as the top-of-funnel sufficiency check: if pipeline coverage (pipeline value / forecast) drops below the historic conversion-rate-implied threshold, the forecast is at risk. Common pitfall: confusing pipeline value with weighted forecast — the unweighted number always exceeds the weighted, often by 3–5× depending on the stage mix. Always report both and the implied conversion ratio.

Pipeline Deal Count

Total number of active opportunities in the pipeline (open stages only — excludes closed-won and closed-lost). The volume side of pipeline coverage; paired with pipeline_value gives the average deal size and the deal-count vs deal-size ratio that characterizes the motion shape. Common pitfall: counting non-bona-fide opportunities (orphaned trials, demo requests that never converted to a real evaluation) inflates the number — apply a stage-floor cutoff (e.g. SQL or higher) so the count reflects committed evaluation activity.

Average Contract Value

Average annualized contract value across new-customer deals signed during the period (ACV). Defines where the company plays on the SaaS deal-size spectrum and dictates the operating model — high-ACV businesses tolerate longer sales cycles and direct sales motions; low-ACV businesses must run product-led or inside-sales motions to keep CAC payback short. Common pitfall: blending new and expansion ACV obscures the new-logo deal-size trend that boards actually want to see. Anchored to KBCM/Sapphire SaaS Survey 2024 §Average Contract Value for cross-company benchmarking.

Deals Won Value

Total dollar value of all opportunities closed-won during the period — the period's realized bookings from the pipeline motion. Reconciles to (sales.new_business + sales.expansion) when split by deal type. Common pitfall: reporting TCV (total contract value) here when the rest of the dashboard uses ACV — pick one and apply it consistently across closed_won_value, weighted_forecast, and pipeline_value, or the dashboard math stops reconciling.

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