StackSwap · GTM stack audit · Series B (51–100 people)

GTM Stack Audit for Series B Companies

By Series B the GTM org has departments, and departments buy their own tools. Overlap now hides across team boundaries — two teams solving the same problem with two different vendors — plus multiple data contracts and reporting sprawl.

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The series b peer median (51–100 people)

Median tools
11
Spend / employee
$7,897
per GTM employee / yr
AI-native score
42
Overlaps
3
categories
Recoverable / yr
$256,920

At $7,897 per GTM employee, the median series b team carries 3 overlapping categories and sits at 42/100 on AI-native coverage. Full cross-cohort tables: GTM Stack Benchmark.

Where series b teams overpay

Department silos buy duplicates

Marketing, sales, and ops each procure independently, so the same job gets two or three tools across the org.

Multiple data contracts

Separate enrichment/intent contracts per team with heavy overlap is a recurring Series B finding.

Reporting sprawl

Several analytics/BI tools and manual export-merge reporting accumulate as each team builds its own view.

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 series b GTM stack audit check?
It runs the four standard audit layers — overlap, spend per GTM employee, AI-native coverage, and handoffs — weighted to where series b teams overpay. The median series b team (51–100 people) runs 11 tools with 3 overlapping categories and $256,920 in modeled annual recoverable spend.
How much should a series b team spend on GTM software?
The median series b team (51–100 people) spends $7,897 per GTM employee per year, with $256,920 in modeled annual recoverable spend. Spend per employee is the cleanest way to compare across teams, since raw total just tracks size.
Where do series b teams overpay most?
department silos buy duplicates, multiple data contracts, reporting sprawl. Marketing, sales, and ops each procure independently, so the same job gets two or three tools across the org.

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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