---
title: "What “good” looks like at $10k to $250k/month spend"
description: "Benchmarks from our audit base, verified against revenue data, not survey answers: leak share, attribution gap and median finding by monthly spend band."
url: https://marginfix.ai/insights/smb-marketing-spend-benchmarks/
lastmod: 2026-10-28
---

[Home](/) › [Insights](/insights/) › What “good” looks like at $10k to $250k/month spend

Benchmarks · 5 min read

# What “good” looks like at $10k to $250k/month spend

![Portrait photograph of Cristian Bragau](/assets/founder/cristian-bragau-2026-10.jpg) **[Cristian Bragau](/about/cristian-bragau/)**, Founder & Lead Auditor · Reviewed Oct 2026 · verified against the base of 74 audits

The short answer

Measure the leak, not the spend. Across the 74 audits we have published, a median 18.7% of marketing spend was leaking, inside an 11% to 28% band. The median finding was worth $58k a year. Smaller budgets leak a larger share; larger ones leak more dollars.

Benchmarks from our audit base, by the numbers we verify against revenue data, not survey answers. Use these as trigger points: outside the range means an audit most often clears its guarantee floor.

## Benchmark ranges by monthly spend

Benchmark ranges by monthly marketing spend band

| Monthly spend | Median leak (% of spend) | Attribution gap | Most common leak | Median identified |
| --- | --- | --- | --- | --- |
| $10k to $25k /mo | 22 to 28% | 15 to 25% | Wasted spend & broad targeting | $19k |
| $25k to $75k /mo | 16 to 24% | 20 to 30% | Attribution & tracking drift | $41k |
| $75k to $150k /mo | 14 to 20% | 20 to 35% | Channel mix & incrementality | $74k |
| $150k to $250k /mo | 11 to 17% | 25 to 40% | Pricing & unit economics | $118k |

Read each row as a starting point, not a target. The leak column is the share of monthly spend the audits found leaking at that size. The attribution gap is how far reported returns ran above the real blended return, the overstatement the [attribution field guide](/insights/roas-attribution-field-guide/) explains. The last column is the median annual finding for audits in that band.

### Smaller budgets: buying problems

Under $75k a month, the most common leaks are about what the budget buys: broad targeting, wasted spend and tracking that drifted as campaigns were added. They are the fastest to fix, because the fix sits inside the ad accounts, and the leak share is highest here, so every recovered dollar is a large part of the budget.

### Larger budgets: economics problems

Above $75k a month, the leak moves out of the ad accounts. Channel mix, incrementality and finally pricing and unit economics take over: the media is often well run, but it is selling offers whose margin no longer covers their cost. The share falls; the dollars rise.

## Seven trigger points: healthy vs flagged

- **[Wasted ad spend](/glossary/wasted-ad-spend/):** healthy is under 10% of budget; our audit median is 18.7%; worst quartile exceeds 31%.

- **CAC payback (SaaS):** healthy under 14 months; audits that flag it average 19.

- **Email/CRM revenue share (ecommerce):** healthy 25 to 30%; audits that flag it find under 12%.

- **Retargeting frequency:** healthy under 3.5 impressions/week per user; flagged accounts run 8+.

- **Lead response time (services):** healthy under 15 minutes; the firms we audit average hours, worth 20 to 40% of booked calls.

- **Failed payment recovery (subscription):** healthy above 50%; flagged accounts recover under 20%.

- **Attribution overclaim:** healthy under 110% of actual revenue; flagged accounts exceed 120%.

Every figure above is measurable from read only access in under a week, which is exactly what the audit does, across all five leak categories at once.

Two patterns hold across the base: the leak **percentage** falls with scale, but the absolute leak grows, and the dominant category shifts from buying problems (targeting, wasted spend) to economics problems (pricing, retention). All medians are computed against verified revenue data from the base of 74 audits.

## Median finding by industry

Median annual finding by industry, across the 74 published cases

| Industry | Published cases | Median finding a year |
| --- | --- | --- |
| Fintech | 7 | $83k |
| Marketplace | 7 | $66k |
| Pharma | 9 | $64k |
| Manufacturing | 10 | $64k |
| Retail | 8 | $54k |
| DTC / Ecommerce | 10 | $53k |
| B2B SaaS | 8 | $52k |
| Subscription | 7 | $51k |
| Services | 8 | $47k |

The spread is narrower than most owners expect: from $47k in services to $83k in fintech, every industry’s median sits within a factor of two. What changes by industry is where the finding sits. Fintech and marketplaces leak through incentives and acquisition quality ([Incentive spend acquired users who never funded](/cases/incentive-spend-acquired-users-who-never-funded/)); manufacturers through prices that never caught up with costs ([Rising freight never reached the price list](/cases/rising-freight-never-reached-the-price-list/)); services firms through intake and scoping ([Intake was dropping a third of qualified calls](/cases/intake-was-dropping-a-third-of-qualified-calls/)).

## How to use these numbers

Pick the two or three trigger points that apply to your business model and measure them this month. A single flagged metric is a question for your team; three flagged at once usually means the leaks are feeding each other. Then set your own [MER](/glossary/mer/) and your [margin leak](/glossary/margin-leak/) estimate beside the band for your spend.

Benchmarks are a screening tool, not a verdict. A business can sit inside every healthy range and still carry a large leak in one product line, because an average hides it, the same way blended ROAS hides a weak campaign. The [estimator](/estimator/) models your industry in about 90 seconds, and the [2026 benchmark](/benchmark/) carries the full dataset with its population and limitations.

## Questions about marketing spend benchmarks

### How much should a small business spend on marketing?

This benchmark does not set a budget; it measures what a budget returns. Across the 74 audits, the useful question was how much of the spend was leaking: a median 18.7%, inside an 11% to 28% band. Fix the leak before you raise the budget. [Estimate your own leak →](/estimator/)

### What is a typical marketing audit finding worth?

$58k a year, the median highlight finding across the 74 published cases. By industry the median runs from $47k in services to $83k in fintech. [All findings, ranked by value →](/findings/)

### How are these benchmarks different from survey data?

Every figure comes from a completed audit, measured against the business’s own revenue data, not from what respondents believe they spend. Each audit is published as a case study, so every median can be traced back to its cases. [The benchmark methodology →](/benchmark/)

[Find your version of these numbers →](/estimator/)

## More field notes

[How to audit your media agency’s programmatic fees, Working with agencies](/insights/audit-media-agency-programmatic-fees/) [The marketing audit process: 8 steps to run one on your own numbers, Audit method](/insights/marketing-audit-process/) [Involuntary churn: how failed payments leak subscription revenue, and how to win it back, Retention](/insights/involuntary-churn-failed-payments/) [How to cut wasted ad spend: six checks, in the order to run them, Paid media](/insights/how-to-reduce-wasted-ad-spend/) [How to reconcile GA4 and ad platform revenue with Shopify or Stripe, Measurement](/insights/reconcile-ga4-ad-platform-revenue/) [How to measure incrementality with a simple holdout test, Measurement](/insights/how-to-measure-incrementality/)

[Request an audit →](/book/)
 [See the benchmark](/benchmark/)