Free modeled pre-audit · No SSO required

Find Sales Stack Overlap—Then Verify the Evidence

82% of modeled GTM stacks contain at least one overlapping tool pair. The median team has $7,770/mo ($93,240/yr) in modeled tool waste. StackScan gives you a modeled starting point: likely role overlap, potential swaps, and estimated recoverable spend. Then use this checklist to verify private evidence before you renegotiate or cancel anything. Modeled across 100,000 synthetic GTM stacks (open methodology).

Scan your sales stack →Review the methodology

Why most sales stack audits fail

Three gaps that make a sales stack audit hard to act on:

The inventory is incomplete. Tools get bought through different budgets, cards, and trial conversions. Reconcile team memory with finance, SSO, procurement, and vendor records before calling the list complete.
There's no benchmark. Without knowing what a healthy stack at your team size looks like, you can't tell a redundant tool from a necessary one. A model can prioritize likely overlaps, but your requirements and private usage evidence decide whether the overlap is real.
Recommendations are vague. "Reduce redundancies" and "consolidate where possible" are not recommendations. A real audit names the tools, names the dollars, and ranks the cuts.

The useful output is not a generic instruction to "reduce redundancies." It is a decision queue: which tool pair to investigate, what the model estimates, what evidence could change the decision, who owns that evidence, and when the contract renews.

What a sales stack audit actually catches

Start with modeled overlap patterns, then validate the private evidence StackScan cannot see:

Pattern	Example	Evidence status
Overlapping sales engagement tools Two sequencing tools can indicate role overlap. Verify feature requirements, integrations, adoption, and contract terms before choosing one.	Outreach + Salesloft, Apollo + Outreach, Apollo + Reply	Modeled in StackScan
Duplicate prospect databases Two prospect databases can cover similar jobs. Check data coverage, enrichment workflows, credit usage, and renewal terms before consolidating.	Apollo + ZoomInfo, ZoomInfo + Lusha, Apollo + Cognism	Modeled in StackScan
Duplicate conversation intelligence Two conversation-intelligence tools can signal redundant recording and analysis capabilities. Confirm workflow dependencies and active usage first.	Gong + Chorus, Gong + Clari Copilot, Chorus + Fireflies	Modeled in StackScan
Seat adoption and utilization Compare purchased seats with active users and role requirements. StackScan does not inspect your vendor admin panels, so confirm this with first-party usage data.	Salesloft licenses for non-prospecting AEs, ZoomInfo seats for ops	Verify with admin data
Tier mismatch (paying enterprise for SMB usage) Compare the features your team actually uses with the contracted tier. This requires your contract and vendor usage data.	HubSpot Enterprise Hub, Outreach Galaxy, Salesforce Unlimited	Verify with contracts + usage
Dead integrations and Zapier shells Review integration owners, workflow activity, and dependencies before removing a tool. StackScan can flag role overlap, not private workflow activity.	Zapier Pro for 3 active workflows, defunct iPaaS connectors	Verify with owners + logs

The most common overlaps in sales stacks

Top sales-stack overlap pairs across 100,000 modeled stacks. These are the patterns where two tools are doing roughly the same job and the engine flagged the consolidation:

Overlap pair	% of modeled stacks	Stacks containing both
Clari + Gong	23.8%	23,788
Apollo.io + ZoomInfo	20.5%	20,490
Outreach + Salesloft	18.7%	18,740
Apollo.io + Outreach	17.8%	17,747
Clearbit + ZoomInfo	14.0%	13,991
Chorus + Gong	13.0%	12,978

Source: StackSwap stack simulation v1.0.0. Reproduce: SIM_SEED=42 npm run simulate:100k.

The 6-step sales stack audit

Use StackScan to prioritize the review, then complete each decision with first-party evidence from your own systems.

Step	StackScan models	Your team verifies
1. Inventory	Select the tools in your GTM stack	Reconcile the list with finance, SSO, cards, and team owners
2. Categorize	Auto-categorized into CRM, sequencing, data, intel, etc.	Confirm each tool's real job and primary owner
3. Detect overlap	Algorithmic overlap detection across known tool pairs	Check integrations, workflows, and edge-case capabilities
4. Verify adoption	Provides modeled context for the selected stack	Inspect active users, feature usage, and team feedback
5. Calculate waste	Estimates modeled recoverable spend by overlap	Replace estimates with contract prices, terms, and renewal dates
6. Recommend cuts	Ranked cut list with replacement recommendations	Assign an owner and validate dependencies before cancellation

What you get from a StackScan

Itemized overlap report. Every overlapping tool pair in your stack, named, with the consolidation pattern (which one wins, why).
Modeled dollar waste estimate. Total recoverable spend, broken down by overlap pattern. Cited against the 100,000-stack benchmark for your team size.
Ranked cut list. Cuts ordered by ROI: what to cancel first, what to renegotiate, what to leave alone. Unlocks free with your email.
Replacement recommendations. Where a cut creates a capability gap, the named replacement (e.g., consolidate Apollo + Outreach to Apollo Pro alone). Recommendations are based on modeled patterns, not vendor relationships — we have none.
Verification checklist. The private evidence to inspect next: contract terms, active users, feature adoption, owners, integrations, renewal dates, and migration risk.
Methodology disclosure. Open-source simulation, reproducible scoring, documented cost assumptions. See /methodology.

Sales stack audit vs SaaS Management Platform

SaaS Management Platforms (Zylo, Torii, BetterCloud, CloudEagle) and StackSwap solve different problems. SMPs are IT-side: they connect to SSO and accounting to track every SaaS subscription company-wide. The job is "visibility into what we have." StackScan is GTM-side: it models your sales/marketing/RevOps stack against benchmarks and tells you what to cut. The job is "decisions about what to do."

If you need company-wide discovery, license management, and governance, evaluate an SMP. If you want a fast GTM-specific hypothesis about role overlap and potential swaps, start with StackScan. The two can complement each other because they use different evidence and answer different questions.

Methodology

Statistics on this page are derived from 100,000 synthetic GTM stacks generated across 12 archetypes (founder-led, PLG, outbound-heavy, ABM-heavy, RevOps-mature, etc.) and run through the same scoring engine that powers StackScan. The simulation is reproducible: SIM_SEED=42 npm run simulate:100k. Cost models use vendor list pricing where published, with documented assumptions where vendors hide pricing. Full disclosure: /methodology.

FAQ

StackScan gives you a fast modeled starting point once you select your tools. A decision-ready audit takes longer because someone must verify contracts, adoption, owners, integrations, and renewal dates against first-party records.

You can start StackScan for free and unlock the full modeled plan with your email. It does not require SSO or accounting access because it models the tools and team context you provide.

They solve different parts of the job. SaaS management platforms use company systems such as SSO and accounting to discover and manage subscriptions. StackScan is a GTM-specific modeled pre-audit: it helps you find likely role overlap and potential swaps, then points you to the evidence that needs verification.

Select the tools in your stack and provide the team context requested in the scan. StackScan does not inspect your contracts, vendor admin panels, integration logs, or renewal calendar; use those first-party records to validate the modeled findings before acting.

Overlap in sales engagement is the single highest-recovery pattern across the 100,000 stacks we've modeled. Apollo + Outreach, Outreach + Salesloft, and Apollo + Reply.io are the three most common pairs. 82% of modeled stacks contained at least one overlap. The median annual recoverable spend is $93,240.

The methodology is open: we ran 100,000 synthetic GTM stacks across 12 archetypes through the same scoring engine that powers StackScan. Reproduce it with `SIM_SEED=42 npm run simulate:100k`. Cost models use vendor list pricing where published, with documented assumptions where vendors hide pricing. Median modeled team has 2 overlapping pairs and 10.5% reducible tool count. See /methodology for the full disclosure.

Yes. The full plan can recommend which overlapping tool to keep or evaluate as a replacement. Treat each recommendation as a hypothesis: verify feature requirements, integrations, adoption, contract terms, and migration risk before making a change.

If a tool is not in the registry, treat it as a manual review item. You can still model the recognized part of your stack, but the result is only as complete as the inventory you provide.

Find Sales Stack Overlap—Then Verify the Evidence

Why most sales stack audits fail

What a sales stack audit actually catches

The most common overlaps in sales stacks

The 6-step sales stack audit

What you get from a StackScan

Sales stack audit vs SaaS Management Platform

Methodology

FAQ

How long does a sales stack audit actually take?

How much does StackScan cost?

How is this different from Zylo, Torii, or BetterCloud?

What data do you need from us?

What's the most common waste pattern in sales stacks?

How accurate is the audit?

Does StackScan recommend specific replacements?

What if our stack is unusual?

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