The 2026 SMB marketing benchmark

Where SMB marketing budgets actually leak.

Wasted ad spend statistics from 74 published case highlights across 9 industries. Compare annual case figures with separately published spend ratios and their definitions.

  • 74 published cases
  • 9 industries
  • 2026 edition

The headline number

$58k

lower median of the published annual highlight figures from 74 cases. Outcome types and recovery periods differ; this is not a median cash recovery.

74audits
9industries
5 to 7working days to find it

Interactive

Explore the benchmark by industry and spend.

Published case outcome type

Model leak share curve at $40k a month

Model leak share curve and published case figures by industryCumulative model curve of the annual leak in dollars from p10 to p90 at the selected industry and monthly spend, with the published case figures of that industry on a strip below. Each dot opens its case study.$57k$82k$110kYouLower median of the published figures: $53kCase 01 · Scaling prospecting spend was losing money on every sale: $134kCase 02 · A discount habit was training the best customers to wait: $68kCase 03 · The agency’s ‘winning’ campaign was the biggest loser: $53kCase 04 · Free shipping was quietly deleting the margin on every third order: $47kCase 05 · Retargeting was paid twice for the same customer: $31kCase 06 · Bestsellers were priced below their true landed cost: $59kCase 07 · Subscription churn was masked by aggressive new trial spend: $55kCase 08 · Bundles were cannibalizing full price hero SKUs: $38kCase 43 · FBA fees and returns had overtaken the margin on the hero ASINs: $61kCase 44 · Affiliate commissions were being paid on sales the brand already owned: $44kLower median of the published figures: $52kCase 09 · Paid was subsidizing a channel sales already owned: $41kCase 10 · The cheapest leads were the most expensive customers: $68kCase 11 · Content spend had no path to revenue: $36kCase 12 · A $1.2M ad budget hid a 40% wasted impression rate: $74kCase 13 · Free tier support cost more than the plan earned: $52kCase 45 · Late quarter discounting was quietly eroding ACV margin: $92kCase 46 · A billing config gap left usage overages uncharged: $70kCase 47 · Partner referral fees were paid on deals sales had sourced directly: $47kLower median of the published figures: $66kCase 14 · CAC looked fine, until we split it by cohort: $82kCase 15 · Supply side incentives outlived their purpose: $63kCase 16 · Take rate was leaking through unmanaged refunds: $44kCase 48 · Promotional fee waivers were never switched off: $58kCase 49 · Buyer subsidies outran the repeat GMV they were meant to unlock: $66kCase 50 · Paid search was bidding on supply the platform already ranked for: $66kCase 51 · Courier incentives overlapped organic supply in dense zones: $74kLower median of the published figures: $51kCase 17 · Growth spend was outrunning retention: $51kCase 18 · Annual plans were discounted below their retention value: $57kCase 19 · Winback campaigns were rebuying customers who’d have returned free: $33kCase 20 · Shipping tiers didn’t match cohort value: $41kCase 52 · Weak payment recovery was leaking revenue as involuntary churn: $52kCase 53 · The pause and skip flow was leaking straight to cancellation: $47kCase 54 · Seat true ups were underbilled as accounts grew: $63kLower median of the published figures: $54kCase 21 · Online ads were paying for in store demand: $88kCase 22 · Loyalty points cost more than the repeat they drove: $71kCase 23 · Markdown timing was leaving margin on the shelf: $49kCase 55 · Returns processing cost was missing from channel economics: $69kCase 56 · Click and collect was subsidizing the delivery it replaced: $54kCase 57 · Vendor promo funding wasn’t covering the margin given away: $41kCase 58 · Payment fees varied by tender and went unmanaged: $38kCase 59 · Free assembly and delivery were bundled below cost on big ticket lines: $58kLower median of the published figures: $47kCase 24 · Lead spend ignored close rate by source: $47kCase 25 · Intake was dropping a third of qualified calls: $62kCase 26 · Every location bought the same keywords against each other: $39kCase 27 · Retainers were priced below delivery cost: $54kCase 60 · Fixed fee packages were scoped below the hours they consumed: $52kCase 61 · Job board spend was spread evenly regardless of fill rate: $39kCase 62 · Travel and onboarding time was going unbilled: $47kCase 63 · Quoting ignored callback and warranty cost: $44kLower median of the published figures: $83kCase 28 · Incentive spend acquired users who never funded: $96kCase 29 · CAC payback was twice what the board believed: $57kCase 30 · Interchange margin varied wildly by acquisition channel: $83kCase 64 · Acquisition ignored default rate by channel: $88kCase 65 · Free planning support cost more than small accounts earned: $61kCase 66 · Referral rewards were paid on self referred and gamed volume: $83kCase 67 · Broker commissions were flat across very different loss ratios: $72kLower median of the published figures: $64kCase 31 · Seasonal media weight ignored when the category actually converted: $60kCase 32 · Unbranded search was paying for traffic the brand site already won: $78kCase 33 · HCP and patient budgets were optimized in isolation: $64kCase 34 · Subscription acquisition ignored regulatory driven churn: $44kCase 68 · Detailing and sample spend produced no prescribing lift: $64kCase 69 · Media ran outside the eligible population windows: $58kCase 70 · Retail vet channel discounts were set below margin: $49kCase 71 · Patient acquisition spend ran above what reimbursement paid: $71kCase 72 · Congress and KOL sponsorship showed no measurable return: $88kLower median of the published figures: $64kCase 35 · Rising freight never reached the price list: $72kCase 36 · Volume rebates were paid on orders that never hit the tier: $118kCase 37 · Distributor margin was set once and never revisited: $64kCase 38 · Trade show spend had no attributable pipeline: $41kCase 39 · DTC ads were cannibalizing higher margin retail: $73kCase 40 · Configurator upsells were discounted below their cost: $57kCase 41 · Dead SKUs tied up the margin in slow catalog lines: $48kCase 42 · Dealer cooperative funds were subsidizing competitors’ leads: $69kCase 73 · Small order handling cost exceeded the margin on the order: $57kCase 74 · A surcharge lag was never passed into customer contracts: $79kLower median of the published figures: $58kCase 01 · Scaling prospecting spend was losing money on every sale: $134kCase 02 · A discount habit was training the best customers to wait: $68kCase 03 · The agency’s ‘winning’ campaign was the biggest loser: $53kCase 04 · Free shipping was quietly deleting the margin on every third order: $47kCase 05 · Retargeting was paid twice for the same customer: $31kCase 06 · Bestsellers were priced below their true landed cost: $59kCase 07 · Subscription churn was masked by aggressive new trial spend: $55kCase 08 · Bundles were cannibalizing full price hero SKUs: $38kCase 09 · Paid was subsidizing a channel sales already owned: $41kCase 10 · The cheapest leads were the most expensive customers: $68kCase 11 · Content spend had no path to revenue: $36kCase 12 · A $1.2M ad budget hid a 40% wasted impression rate: $74kCase 13 · Free tier support cost more than the plan earned: $52kCase 14 · CAC looked fine, until we split it by cohort: $82kCase 15 · Supply side incentives outlived their purpose: $63kCase 16 · Take rate was leaking through unmanaged refunds: $44kCase 17 · Growth spend was outrunning retention: $51kCase 18 · Annual plans were discounted below their retention value: $57kCase 19 · Winback campaigns were rebuying customers who’d have returned free: $33kCase 20 · Shipping tiers didn’t match cohort value: $41kCase 21 · Online ads were paying for in store demand: $88kCase 22 · Loyalty points cost more than the repeat they drove: $71kCase 23 · Markdown timing was leaving margin on the shelf: $49kCase 24 · Lead spend ignored close rate by source: $47kCase 25 · Intake was dropping a third of qualified calls: $62kCase 26 · Every location bought the same keywords against each other: $39kCase 27 · Retainers were priced below delivery cost: $54kCase 28 · Incentive spend acquired users who never funded: $96kCase 29 · CAC payback was twice what the board believed: $57kCase 30 · Interchange margin varied wildly by acquisition channel: $83kCase 31 · Seasonal media weight ignored when the category actually converted: $60kCase 32 · Unbranded search was paying for traffic the brand site already won: $78kCase 33 · HCP and patient budgets were optimized in isolation: $64kCase 34 · Subscription acquisition ignored regulatory driven churn: $44kCase 35 · Rising freight never reached the price list: $72kCase 36 · Volume rebates were paid on orders that never hit the tier: $118kCase 37 · Distributor margin was set once and never revisited: $64kCase 38 · Trade show spend had no attributable pipeline: $41kCase 39 · DTC ads were cannibalizing higher margin retail: $73kCase 40 · Configurator upsells were discounted below their cost: $57kCase 41 · Dead SKUs tied up the margin in slow catalog lines: $48kCase 42 · Dealer cooperative funds were subsidizing competitors’ leads: $69kCase 43 · FBA fees and returns had overtaken the margin on the hero ASINs: $61kCase 44 · Affiliate commissions were being paid on sales the brand already owned: $44kCase 45 · Late quarter discounting was quietly eroding ACV margin: $92kCase 46 · A billing config gap left usage overages uncharged: $70kCase 47 · Partner referral fees were paid on deals sales had sourced directly: $47kCase 48 · Promotional fee waivers were never switched off: $58kCase 49 · Buyer subsidies outran the repeat GMV they were meant to unlock: $66kCase 50 · Paid search was bidding on supply the platform already ranked for: $66kCase 51 · Courier incentives overlapped organic supply in dense zones: $74kCase 52 · Weak payment recovery was leaking revenue as involuntary churn: $52kCase 53 · The pause and skip flow was leaking straight to cancellation: $47kCase 54 · Seat true ups were underbilled as accounts grew: $63kCase 55 · Returns processing cost was missing from channel economics: $69kCase 56 · Click and collect was subsidizing the delivery it replaced: $54kCase 57 · Vendor promo funding wasn’t covering the margin given away: $41kCase 58 · Payment fees varied by tender and went unmanaged: $38kCase 59 · Free assembly and delivery were bundled below cost on big ticket lines: $58kCase 60 · Fixed fee packages were scoped below the hours they consumed: $52kCase 61 · Job board spend was spread evenly regardless of fill rate: $39kCase 62 · Travel and onboarding time was going unbilled: $47kCase 63 · Quoting ignored callback and warranty cost: $44kCase 64 · Acquisition ignored default rate by channel: $88kCase 65 · Free planning support cost more than small accounts earned: $61kCase 66 · Referral rewards were paid on self referred and gamed volume: $83kCase 67 · Broker commissions were flat across very different loss ratios: $72kCase 68 · Detailing and sample spend produced no prescribing lift: $64kCase 69 · Media ran outside the eligible population windows: $58kCase 70 · Retail vet channel discounts were set below margin: $49kCase 71 · Patient acquisition spend ran above what reimbursement paid: $71kCase 72 · Congress and KOL sponsorship showed no measurable return: $88kCase 73 · Small order handling cost exceeded the margin on the order: $57kCase 74 · A surcharge lag was never passed into customer contracts: $79k
Model p10$57k
Model median$82k
Model p90$110k

No pooled curve is published for all industries. Pick an industry to see its model quantiles; the strip shows every published case.

Model quantiles for the selected industry and spend. Not a measured peer distribution.

Your estimate is marked on the curve. Open your results
Read this chart as a table
Model quantiles at $40k a month by industry, and published cases
Industryp10p25Medianp75p90Published cases
DTC / Ecommerce$57k$72k$82k$92k$110k10
B2B SaaS$42k$53k$60k$67k$81k8
Marketplace$53k$67k$76k$85k$102k7
Subscription$50k$63k$71k$80k$96k7
Retail$58k$73k$84k$93k$112k8
Services$54k$68k$78k$87k$105k8
Fintech$49k$62k$71k$79k$95k7
Pharma$54k$68k$77k$86k$104k9
Manufacturing$54k$67k$77k$86k$103k10
All industriesNo pooled curve; see each industry74

Published cases: DTC / Ecommerce (10)

Lower median of the published figures

$53,000

One highlight figure per case. Outcome types differ. Each dot on the strip above opens its case study.

See all 10 DTC / Ecommerce cases

Model reference vs published lower median

Model reference$54kper year
Case lower median$53,000per year

The industry reference amounts are model references, distinct from the lower medians of published case figures. Equal figures in some sectors do not make these the same statistic.

Where $100 of spend goes

Effective spend$62
Wasted paid spend$22
Mispriced offers$9
Leaky retention$7

Other published categories: about $38. It is a separate allocation from the 18.7% statistic. Spend denominators, overlap and weighting are not available in the case highlights; the remaining $38 is not a verified cash recovery rate.

Continue in the DTC / Ecommerce estimator

Your industry and spend carry over into the calculator. No login, no account access.

Estimate my leak

Model quantiles are scenarios from stated assumptions, not a measured peer distribution, and each dot is one selected figure per published case. Population, statistics and limitations · Data dictionary.

Finding 02 · Median leak by industry

Every category leaks, just in a different place.

Lower median annual highlight figure by industry, computed from the 74 published cases. These dollar figures do not establish a ranking by share of spend or realized recovery. Each row opens its industry page.

Finding 03 · The five leaks we find most

The same culprits, again and again.

68%
Non incremental paid

Spend buying conversions that would have happened anyway.

54%
Attribution inflation

Channels overcredited for demand they did not create.

47%
Mispriced offers

Landed cost and freight never passed into pricing.

41%
Retention leaks

Churn and dunning quietly erasing acquisition gains.

34%
Discount habits

Always on promos training buyers to wait for the code.

Published prevalence figures. Audit level flags, eligible counts and the materiality threshold are not supplied here. Categories may overlap; percentages do not establish counts or a representative market rate.

Cite these numbers

Quoting the report? Take the sentence with you.

2026 edition · refreshed every January · next: Jan 2027
18.7%

MarginFix publishes an 18.7% median marketing spend leak share. Underlying spend denominators, weighting and measurement periods are not supplied in the published case highlights.

$62 / $100

MarginFix publishes a $100 allocation of $62 effective spend, $22 paid spend, $9 pricing and $7 retention. This separate breakdown does not establish a 38% cash recovery rate; weighting and overlap are not supplied.

$58k

The lower median annual highlight figure across 74 published MarginFix cases is $58k. Each case contributes one figure; outcome types and periods differ, and the statistic does not imply realized cash recovery.

68%

MarginFix publishes 68% prevalence for non incremental paid spend. Eligible counts, audit level flags and measurement periods are not supplied in the case highlights; this is not a market wide rate.

$47k to $83k

Lower median annual highlight figures across the nine published MarginFix industry groups range from $47k to $83k. These are selected case figures, not typical cash recovery forecasts.

Benchmark summary (CSV)

Free · 2026 SMB Marketing Benchmark · 74 published cases · tidy CSV, plus the data dictionary.

Download the CSV
In their words · what clients said after the readoutAll 60 →4.8 on Google →
GOOGLE REVIEW

“Short version, we were about to cut the wrong thing. Glad we got this done first.”

Gustavo Moraes
DTC / ECOMMERCE

$134k a year, read a year after a 6 day audit

Contribution margin on the two top campaigns: −7% → +9%

“Revenue grew and cash didn’t. Victoria rebuilt margin per order after shipping, returns and payment fees, and our two biggest prospecting campaigns were losing money on every sale. We stopped scaling them.”

Founder & CEO · DTC · Beauty & personal care
Client approvedUnder NDA6 days to findings
Portrait photograph of Victoria MillerVictoria MillerLead auditor on this audit
Read the case →
GOOGLE REVIEW

“Founder was on the kickoff call, the auditor who did the work ran the readout. Small thing but I’ve never had that with a consultancy before. You actually talk to the people who know the answers.”

Daniel Andrés Cruz Rodriguez
MANUFACTURING

$118k a year of wasted spend cut in 7 days

Rebates paid on volume never actually earned: 19% → 1%

“Rebate expense outran distributor volume and we could not see why. Cristian reconciled rebates paid against volume actually shipped and paid for, tier by tier: accruals had run off gross purchase orders. Quarterly true ups now catch it.”

VP of Supply Chain · Manufacturing · Water pipe producer
Written approvalUnder NDA7 days to findings
Portrait photograph of Cristian BragauCristian BragauSenior Auditor · signed this audit off
Read the case →
GOOGLE REVIEW

“The thing that won me over was a line in the report that basically said "we can’t prove this one, so we’re not counting it". Nobody does that. Made me trust everything else in there.”

Keano Coulier
FINTECH

$96k a year of wasted spend cut in 7 days

App installs that funded a real account: 24% → 63%

“Installs looked great and funded accounts stagnated. David followed sign ups through to funding, and the bonus was buying registrations from people who claimed it and never transacted. Incentives now pay on activation, not the download.”

VP of Growth · Fintech · Consumer
Written approvalUnder NDA7 days to findings
Portrait photograph of David JacksonDavid JacksonSenior Auditor · signed this audit off
Read the case →
GOOGLE REVIEW

“I’ve paid for a few of these "audits" over the years and they usually end with a pitch. This one ended with a list of what to fix and which parts we could do ourselves. Some of it was not what I wanted to hear. All of it was right.”

JOEL PABLO ESPADA PEA
B2B SAAS

$92k a year found in 7 days

Enterprise deal margin lost to quarter end: 5 pts lost → 0 pts lost

“Bookings hit target while margin slipped. Cristian split our discounting by timing and rep: concessions spiked in the last days of every quarter because buyers had learned to wait. Approval thresholds fixed it without losing deals.”

CRO · B2B SaaS · Enterprise
Written approvalUnder NDA7 days to findings
Portrait photograph of Cristian BragauCristian BragauSenior Auditor · signed this audit off
Read the case →
GOOGLE REVIEW

“Solid work. Lost a star only because the first week dragged, mostly getting them access on our end so partly our fault. After that it moved fast and the readout was really clear.”

Wiwa Smutter
RETAIL

$88k a year of wasted spend cut in 7 days

Paid social proven to lift store visits: ~1 in 3 → 9 in 10

“Our CFO doubted that online ads drove store visits. David’s matched market geo lift test proved the doubt right: footfall barely changed where the ads were off. The budget moved to markets and channels that passed the test.”

VP of Marketing · Retail · Omnichannel
Written approvalUnder NDA7 days to findings
Portrait photograph of David JacksonDavid JacksonSenior Auditor · signed this audit off
Read the case →
PHARMA

$88k annual budget redirection identified in 7 days

Congress spend with a tracked return: 8% → 88%

“Six figures a year in congresses and KOL sponsorships, renewed on habit. Leslie tried to connect it to share of voice, engagement or prescribing and found no instrumentation at all. The unmeasurable part now funds engagement we can track.”

Head of Commercial Strategy · Pharma · Biopharma
Written approvalUnder NDA7 days to findings
Portrait photograph of Leslie MartinLeslie MartinSenior Auditor · signed this audit off
Read the case →
MARKETPLACE

$74k a year of wasted spend cut in 7 days

Courier bonuses paid into already full zones: 22% → 3%

“Incentive spend rose while service levels stayed flat. Alex matched bonus payouts against real time courier availability by zone: in dense areas we paid couriers who would have worked anyway. Bonuses now fire only where coverage is short.”

VP of Supply Growth · Marketplace · Food delivery
Written approvalUnder NDA7 days to findings
Portrait photograph of Alex PopAlex PopSenior Auditor · signed this audit off
Read the case →
SUBSCRIPTION

$63k a year found in 6 days

Active users actually being billed: 93% → 99%

“Expansion lagged what we saw inside accounts. Victoria reconciled active users against billed seats: many customers used more seats than they paid for. Automated true ups now capture it, and nobody pushed back.”

VP of Finance · Subscription · B2B software
Written approvalUnder NDA6 days to findings
Portrait photograph of Victoria MillerVictoria MillerSenior Auditor · signed this audit off
Read the case →
SERVICES

$62k a year found in 6 days

Qualified inbound calls that became bookings: 2 in 3 → 9 in 10

“Marketing hit every target and revenue stalled. Leslie followed our qualified calls into intake and about a third were dropped at busy times or never followed up. Fixing staffing and call handling converted demand we had already paid for.”

Managing Partner · Services · Legal
Written approvalUnder NDA6 days to findings
Portrait photograph of Leslie MartinLeslie MartinSenior Auditor · signed this audit off
Read the case →

Other studies · 19 third party figures

Marketing waste statistics from other studies

These figures come from other publishers, not from the MarginFix audits, and measure different markets and methods, so they do not add up with the benchmark above. Each links to its source; every one was checked against that page on November 9, 2026.

Programmatic supply chain

Made for advertising sites

Ad fraud and invalid traffic

Measurement and attribution

  • 85% of marketers say they are confident they can measure ROI, but only 32% measure it across both traditional and digital channels.

    Source: Nielsen, Marketing ROI Blueprint, 2025
  • Three in four marketers say their attribution, incrementality testing and media mix modeling are not delivering the speed, accuracy or trust they need.

    Source: IAB, State of Data 2026, 2026, as reported by MarTech
  • In branded search tests, 35% of brands facing low competition measured significant lift, against 82% of brands facing high competition.

    Source: Haus, incrementality test analysis, 2025

Budgets, promotions and churn

The full report

Get the full 40 page benchmark report.

Every benchmark broken down by industry and spend band, with the working method behind each figure. One email, no drip sequence.

  • Median leak by industry and spend band
  • The 5 leaks, with detection method
  • A self check worksheet for your account

Work email and phone

Next kickoff slot: Mon, next week. We email the report within one business day. No spam. Unsubscribe in one click. CCPA and GDPR ready.

Benchmark population, statistics and limitations

The population is the 74 published case studies, with one selected highlight figure per case. It is not a representative sample of all SMBs or a total of every finding in each audit. A lower median is the middle value after sorting, using the lower of the two middle values for an even count. Published annual figures include different outcome types; they are not all collected cash, profit or recurring savings. Case publication dates do not establish common observation, implementation or recovery periods; use each case for its supported timing and outcome.

The published 18.7% leak share and 11–28% spend band use a spend basis; the 1–3% revenue band uses a different denominator. The $62/$22/$9/$7 allocation is a separate published $100 breakdown, not the complement of the 18.7% figure. Underlying spend totals, weighting, category overlap and common measurement periods are not published here, so these figures cannot be independently reconstructed from the 74 case highlights. Published prevalence percentages likewise lack audit level flags and eligible counts; do not infer counts, add overlapping percentages or treat them as market wide rates.

The 2026 edition is a publication label, not a shared measurement window. Selection criteria and underlying audit dates are not supplied by the case value dataset.

Scroll horizontally to compare all columns on a narrow screen.

Model references and published case lower medians
IndustryPublished casesModel reference / yearCase lower median / year
DTC / Ecommerce10$54k$53,000
B2B SaaS8$60k$52,000
Marketplace7$66k$66,000
Subscription7$51k$51,000
Retail8$56k$54,000
Services8$47k$47,000
Fintech7$83k$83,000
Pharma9$64k$64,000
Manufacturing10$67k$64,000

The CSV is a summary, not raw audit records. Its legacy recovered metric names mean published annual highlight figures, not proof of realization. Download the data dictionary.