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Enterprise RevOps GTM Stack Audit

Enterprise RevOps stacks carry the most overlap by absolute count: multiple sources of truth, redundant data contracts, and tools retained through acquisitions that were never consolidated.

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The enterprise revops peer median

Modeled from the enterprise revops cohort within 100,000 stacks:

Median tools
11
Spend / employee
$7,073
per GTM employee / yr
AI-native score
28
Overlaps
4
categories
Recoverable / yr
$745,740

At $7,073 per GTM employee, the median enterprise revops team carries 4 overlapping categories — concentrated in the patterns below — and sits at 28/100 on AI-native coverage, leaving room to move legacy tools to AI-native replacements. Full cross-cohort tables: GTM Stack Benchmark.

Where enterprise revops stacks overpay

Multiple sources of truth

Parallel CRM instances or a CRM plus shadow systems drive duplicate sync work and reporting that never quite reconciles.

Redundant data contracts

Enterprise teams often hold two or three enrichment/intent contracts across regions or teams with heavy overlap.

Post-acquisition sprawl

Tools inherited from acquisitions (a second engagement platform, a second CRM) linger on renewal autopilot long after the teams merged.

How to run the audit

The method is the same four layers for every motion — overlap, spend per employee, AI-native coverage, and handoffs — applied to your specific tools. See the full GTM stack audit method and the audit checklist, or let the tool run all four against your stack automatically.

Frequently asked questions

What does a enterprise revops GTM stack audit check?
It runs the four standard audit layers — overlap, spend per GTM employee, AI-native coverage, and handoffs — weighted to where enterprise revops teams overpay. The median enterprise revops stack runs 11 tools with 4 overlapping categories and $745,740 in modeled annual recoverable spend.
How much do enterprise revops teams spend on GTM software?
The median enterprise revops team spends $7,073 per GTM employee per year, with $745,740 in modeled annual recoverable spend — spend per employee is the cleanest way to compare across teams, since raw total just tracks size.
What are the most common enterprise revops tool overlaps?
multiple sources of truth, redundant data contracts, post-acquisition sprawl. Parallel CRM instances or a CRM plus shadow systems drive duplicate sync work and reporting that never quite reconciles.

Audit another motion

Medians modeled from 100,000 synthetic GTM stacks run through the same scoring engine that powers StackScan. Methodology.

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