StackSwap · GTM stack audit · Enterprise (500–1000 people)

GTM Stack Audit for Enterprise Companies

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

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The enterprise peer median (500–1000 people)

Median tools
12
Spend / employee
$6,787
per GTM employee / yr
AI-native score
28
Overlaps
5
categories
Recoverable / yr
$1,567,560

At $6,787 per GTM employee, the median enterprise team carries 5 overlapping categories and sits at 28/100 on AI-native coverage. Full cross-cohort tables: GTM Stack Benchmark.

Where enterprise teams overpay

Multiple sources of truth

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

Regional / team duplication

The same category licensed separately by region or business unit is one of the largest recoverable line items at this size.

Post-acquisition sprawl

Tools inherited from acquisitions linger on renewal autopilot long after the teams merged.

How to run the audit

The method is the same four layers at every stage — overlap, spend per employee, AI-native coverage, and handoffs. See the full GTM stack audit method and the audit checklist, or let the tool run all four against your stack.

Frequently asked questions

What does a enterprise 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 teams overpay. The median enterprise team (500–1000 people) runs 12 tools with 5 overlapping categories and $1,567,560 in modeled annual recoverable spend.
How much should a enterprise team spend on GTM software?
The median enterprise team (500–1000 people) spends $6,787 per GTM employee per year, with $1,567,560 in modeled annual recoverable spend. Spend per employee is the cleanest way to compare across teams, since raw total just tracks size.
Where do enterprise teams overpay most?
multiple sources of truth, regional / team duplication, post-acquisition sprawl. Parallel CRM instances or a CRM plus shadow systems drive duplicate sync work and reporting that never quite reconciles.

Audit another stage

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

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