How long does a sales stack audit actually take?

If you're hiring a consultant, expect 4–8 weeks for the engagement. If you're running it in a spreadsheet, expect 2–4 weeks plus ongoing maintenance. StackScan returns an itemized audit in 60 seconds — the 60-second number isn't marketing, it's the actual engine runtime once you've selected your tools.

How does StackScan pricing work?

StackScan is $25 per actionable decision the engine surfaces (a SWAP or a REMOVE), capped at $249 total. KEEP rows are free — you only pay for the cuts the engine recommends. No login, no demo, no SSO, no sales call. Compared to a $30K-$150K/yr SaaS Management Platform contract, that's the structural difference: per-decision pricing, not enterprise SaaS. (StackBuilder, our 4-question free planner, is for teams who don't have a stack yet — different product.)

What data do you need from us?

Just the tools. You select what's in your stack from a registry of 200+ GTM tools. We don't need SSO access, accounting integration, or seat data. The audit is modeled against your team size, industry, and growth stage — selected at the start. If you want vendor-by-vendor utilization specifics (idle seats, tier mismatch), we'll ask for the seat count per tool, but it's optional.

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

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.

Does StackScan recommend specific replacements?

Yes. The paid tier returns a ranked cut list with replacement recommendations. Common patterns we recommend: consolidate Apollo + Outreach to Apollo Pro alone (recovers $30K–$120K/yr at 30-rep scale); consolidate Gong + Chorus to Gong Standard alone ($50K–$100K/yr); consolidate Marketo + HubSpot to HubSpot Marketing Hub Pro alone if you're sub-$30M ARR ($60K–$200K/yr). Recommendations are based on the modeled patterns, not vendor relationships — we have none.

What if our stack is unusual?

The 200+ tool registry covers the long tail of GTM tools, not just the top 20. If you have a tool we don't track, you can flag it and the audit will note it as un-modeled. The overlap detection still runs against everything else in your stack. Most teams find that 80% of their stack is in the registry, and the un-modeled 20% is usually too niche to have meaningful overlap risk.

Per-decision pricing · 60 seconds · No demo, no SSO

Audit Your Sales Stack in Minutes — Not Quarters

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. You don't need a 6-week consulting engagement or a $30K-$150K SaaS Management Platform to find it — you need to see what's overlapping. Run StackScan in 60 seconds: $25 per actionable decision, $249 cap, KEEP rows free. Modeled across 100,000 synthetic GTM stacks (open methodology).

Run my sales stack audit →See how it works

Why most sales stack audits fail

Three reasons a sales stack audit goes nowhere:

The inventory is incomplete. Tools get bought on company cards, AE corporate cards, ops budgets, and trial conversions. Nobody has the full list. A spreadsheet that asks "what tools do you use" will miss 30-40% of what's actually billing.
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. Most consultants benchmark against their last 3 client engagements — that's not a benchmark, that's a sample.
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 consultancy version of a sales stack audit ships you a 40-slide PDF in week 6. That's not too late to act on, but it costs $15K-$50K and the recommendations are still "reduce redundancies." The spreadsheet version of the same audit takes 2-4 weeks of your time and produces a tab that goes stale the next time finance renegotiates a contract. Both fail the same way: no benchmark, no concrete dollars, no ranked cut list.

What a sales stack audit actually catches

Six patterns we observe in 100,000 modeled GTM stacks. Each one is a specific consolidation that recovers specific dollars:

Pattern	Example	Annual recovery
Overlapping sales engagement tools Most teams pay for two sequencing engines because reps onboarded on one and the team standardized on another. The data has lived on both sides ever since.	Outreach + Salesloft, Apollo + Outreach, Apollo + Reply	$30K–$120K/yr
Duplicate prospect databases Two databases for the same buyer universe. One usually gets used for enrichment, the other for export — but both renew annually whether utilized or not.	Apollo + ZoomInfo, ZoomInfo + Lusha, Apollo + Cognism	$30K–$90K/yr
Duplicate conversation intelligence Bought during separate quarters by separate leaders. Reps record into whichever the calendar invite defaults to. The losing tool sits idle but still bills.	Gong + Chorus, Gong + Clari Copilot, Chorus + Fireflies	$50K–$100K/yr
Idle seats inside paid tools A common pattern: a team buys 50 seats during ramp, attrition hits, the seats never get reclaimed. License audits surface this in 30 seconds; spreadsheet audits miss it.	Salesloft licenses for non-prospecting AEs, ZoomInfo seats for ops	$10K–$60K/yr
Tier mismatch (paying enterprise for SMB usage) Sold by a vendor's enterprise AE during a 'we need this for governance' moment. The advanced features never get adopted. The bill keeps the tier.	HubSpot Enterprise Hub, Outreach Galaxy, Salesforce Unlimited	$15K–$80K/yr
Dead integrations and Zapier shells Tools wired up for a campaign that ended two quarters ago. The connector keeps polling, the seat keeps billing, no one owns the cleanup.	Zapier Pro for 3 active workflows, defunct iPaaS connectors	$2K–$15K/yr

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

Every sales stack audit framework — consultancy, spreadsheet, or product-led — runs the same six steps. The difference is who does the work and how long it takes.

Step	Spreadsheet	Consultant	StackScan
1. Inventory	Hunt through accounting + Slack + IT requests	2-week interview cycle with each function	60-second tool selection from a 200+ GTM tool registry
2. Categorize	Manual category column you maintain forever	Custom taxonomy in a Miro board	Auto-categorized into CRM, sequencing, data, intel, etc.
3. Detect overlap	You don't — that's the whole problem	Subjective interview-based recommendations	Algorithmic overlap detection across known tool pairs
4. Score utilization	Vendor admin panels, one at a time	Survey-based, often inflated	Modeled against benchmarks for your team size + archetype
5. Calculate waste	Math you have to do yourself	Manual analysis, weeks later	Itemized $ recoverable per overlap, ranked by ROI
6. Recommend cuts	A column called "decision" that never gets filled in	Written report + executive readout	Ranked cut list with replacement recommendations

Three ways to run a sales stack audit

How the four common approaches compare on time, cost, coverage, benchmark quality, and output:

Approach	Time	Cost	Coverage	Benchmark	Output
Spreadsheet (DIY)	2–4 weeks	$0 (your time)	Whatever you remember to list	None	A spreadsheet that goes stale in 6 weeks
Consultant / agency audit	4–8 weeks	$15K–$50K	Whatever the consultant can interview into	Their last 3 client engagements	A 40-slide PDF with generic recommendations
SaaS Management Platform (Zylo, Torii)	4–12 weeks (SSO + integrations)	$30K–$150K/yr	Everything billed through the company card	Cross-customer SaaS-wide (not GTM-specific)	IT-grade dashboard, not GTM-specific cuts
StackScan	60 seconds	$25 per decision, $249 cap (KEEP rows free)	200+ GTM tools, including the long tail	100,000 modeled GTM stacks	Itemized overlap report + ranked cut list

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. Only on the paid tier ($25 per decision, $249 cap).
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.
Per-vendor utilization model. Idle seats, tier mismatch, and dead integrations called out specifically — the line items spreadsheet audits miss.
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 have 100+ SaaS subscriptions and a CIO who needs the company-wide dashboard, get an SMP. If you have a 10-tool sales stack and want to know if you're paying for two databases, get StackScan. Most teams under 100 employees don't need an SMP — a Google Sheet plus StackScan covers the same job for $0.

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

How long does a sales stack audit actually take?: If you're hiring a consultant, expect 4–8 weeks for the engagement. If you're running it in a spreadsheet, expect 2–4 weeks plus ongoing maintenance. StackScan returns an itemized audit in 60 seconds — the 60-second number isn't marketing, it's the actual engine runtime once you've selected your tools.
How does StackScan pricing work?: StackScan is $25 per actionable decision the engine surfaces (a SWAP or a REMOVE), capped at $249 total. KEEP rows are free — you only pay for the cuts the engine recommends. No login, no demo, no SSO, no sales call. Compared to a $30K-$150K/yr SaaS Management Platform contract, that's the structural difference: per-decision pricing, not enterprise SaaS. (StackBuilder, our 4-question free planner, is for teams who don't have a stack yet — different product.)
How is this different from Zylo, Torii, or BetterCloud?: Different jobs. SaaS Management Platforms (SMPs) are IT-side: they connect to your SSO and accounting systems to track every SaaS subscription company-wide. StackScan is GTM-side: it models your sales/marketing/RevOps stack against benchmarks and tells you what to cut. SMPs answer "what do we have"; StackScan answers "what should we cut, and what do we replace it with." Most teams under 100 employees don't need an SMP — a Google Sheet plus StackScan covers the same job for $25-$249.
What data do you need from us?: Just the tools. You select what's in your stack from a registry of 200+ GTM tools. We don't need SSO access, accounting integration, or seat data. The audit is modeled against your team size, industry, and growth stage — selected at the start. If you want vendor-by-vendor utilization specifics (idle seats, tier mismatch), we'll ask for the seat count per tool, but it's optional.
What's the most common waste pattern in sales stacks?: 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.
How accurate is the audit?: 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.
Does StackScan recommend specific replacements?: Yes. The paid tier returns a ranked cut list with replacement recommendations. Common patterns we recommend: consolidate Apollo + Outreach to Apollo Pro alone (recovers $30K–$120K/yr at 30-rep scale); consolidate Gong + Chorus to Gong Standard alone ($50K–$100K/yr); consolidate Marketo + HubSpot to HubSpot Marketing Hub Pro alone if you're sub-$30M ARR ($60K–$200K/yr). Recommendations are based on the modeled patterns, not vendor relationships — we have none.
What if our stack is unusual?: The 200+ tool registry covers the long tail of GTM tools, not just the top 20. If you have a tool we don't track, you can flag it and the audit will note it as un-modeled. The overlap detection still runs against everything else in your stack. Most teams find that 80% of their stack is in the registry, and the un-modeled 20% is usually too niche to have meaningful overlap risk.