who my most valuable customers are

What we found

Revenue and account scale are concentrated in a small set of enterprise accounts: mean annual contract value for Enterprise sits near $200,779 while Startups average about $2,847, producing a roughly $197,932 gap, and Enterprise accounts average about 1,000 users versus single‑digit users for Startups. By contrast, subscription tiers show only modest mean ACV differences (about $12,300 between top and bottom), and tenure is tightly clustered across segments (around a one‑month spread).

At a glance

Section 1
Answer

Enterprise accounts average far more users (999.71) compared with Startups (8.03), a difference of 991.68 users.

Number of users (a proxy for account scale) is highly skewed: Enterprise accounts are orders of magnitude larger in user count than other segments. Because these are means, a subset of very large accounts likely drives the Enterprise average; median or distributional metrics would clarify whether most Enterprise accounts are large or a few extreme accounts dominate.

Number of users by segment

All respondents · n = 500 of 500

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Large variation in account scale prompts the question of whether subscription tier aligns with that scale or maps to a different axis of value.

Section 2
Answer

Professional shows the highest mean annual contract value

ACV differences across subscription tiers are modest (roughly $12k between top and bottom) compared with the segment gaps. Professional and Enterprise tiers are similar (both ~ $66k–$68k), indicating tier-level ACV is more clustered; mean values may still be affected by large accounts within a tier.

Annual contract value by subscription tier

All respondents · n = 500 of 500

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If tier-level ACV is clustered, the next question is whether customer segment explains the larger revenue disparities we observe.

Section 3
Answer

Enterprise customers have the highest mean annual contract value at $200,779.06, while Startups have the lowest at $2,846.96 — a $197,932.10 gap.

The mean annual contract value is heavily concentrated in Enterprise accounts: Enterprise ACV ($200,779.06) is far larger than the next segment (Mid‑Market $47,228.87) and dwarfs Startups ($2,846.96). Because these are means, a small number of very large Enterprise contracts likely pull the overall ACV distribution rightward; the mean therefore reflects account concentration rather than a typical customer.

Annual contract value by segment

All respondents · n = 500 of 500

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Having established segment as a revenue differentiator, we then ask whether those high-value segments also exhibit longer tenure.

Section 4
Answer

Enterprise customers have the longest mean tenure at 17.33 months versus SMB at 16.31 months — a 1.02‑month gap.

Tenure differences by segment are small (about one month from longest to shortest). The pattern shows slightly greater persistence among Enterprise accounts, but the magnitude is marginal — mean tenure is tightly clustered around ~16–17 months, so this finding is suggestive rather than a strong separator of segments.

Tenure months by segment

All respondents · n = 500 of 500

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Reading as

What this means

Segment membership, not subscription tier, is the dominant axis for customer value — enterprise accounts drive most of the dollar value and account scale, while tier-level pricing appears a smaller lever. For product and marketing, this implies prioritising strategies that reflect enterprise scale (user seat economics and enterprise lifecycle) while treating tier segmentation as a secondary optimization. The similar tenure across segments suggests retention work should target account-level drivers rather than segment alone.

Where to focus next

  1. 01Prioritize enterprise accounts for revenue and lifecycle investment given their outsized contract value and user scale.
  2. 02Treat subscription tier as a secondary lever relative to segment when allocating pricing, packaging, and go-to-market efforts.
  3. 03Examine the distribution of enterprise ACV and user counts (medians, top decile) to confirm whether a small number of accounts drive the means.
  4. 04Shift retention hypotheses away from broad segment differences and toward account-level engagement and usage signals.