Brand Measurement Case Studies

Six examples of brands using Marathon Data to measure, validate, and optimize brand investment against incremental revenue.

Measured Brand Investment Drives Better Results in the Long Term AND the Short Term

Contribution margin (total revenue − product costs − ad spend) measures the dollars your business actually keeps. It’s the clearest measure of whether growth is profitable — and it’s one of the outcomes Marathon tracks against brand activity.

Measurement, Not Theory

  • Losing money for six months while waiting for brand to "kick in" is not a luxury any business owner has
  • In every case below, Marathon measured short-term business outcomes alongside long-term brand effects
  • Customers used Marathon to start conservatively and expand as measured results confirmed

Better Allocation, Not Added Budget

  • Identify over-serving to existing customers and quantify the opportunity to reallocate
  • Measure which spend is creating incremental new customer growth
  • Contribution dollars and margin growth improved within the first month across Marathon customers

Brand IS Better Performance

  • These results came from measured brand-building investment — not traditional direct response attribution
  • Brand campaigns measured through Marathon drove stronger incremental ROAS than anything on the DR side
  • Measurement infrastructure captures brand campaign impact in real time — not quarterly. Every campaign is optimized as data comes in, which is why the results are both large and repeatable
  • The data below shows the pattern across customers, in both short and long term

Profitable Growth, Proven — Not Promised

Across the portfolio, Marathon grows the business on the metric that matters — contribution dollars and incrementality — not vanity ROAS. Recent month-over-month profit gains, geo-holdout incrementality tests, and rolled-out CRO wins below. Brands anonymized to category; all figures from client systems of record.

Contribution dollars and margin, climbing.

Month-over-month for two mid-market consumer brands (May 2026 vs April and vs March), and year-over-year growth acceleration for two brands Marathon took over in February 2026.

Wellness / Supplements Brand
Contribution dollars more than doubled vs March — at a 13.6-point higher margin.
May 2026 vs March (and vs April)
$161K Total-business contribution $  ·  +108.8% vs Mar
Total-business contribution $$161K+108.8% vs Mar
DTC-ecom contribution $$122,699+112.0% / +79.3%
DTC-ecom contribution margin36.9%+15.3pp / +14.6pp
Total-business contribution margin37.4%+13.6pp / +11.5pp
DTC + Amazon revenue$435,430+37.5% / +12.3%
New-customer revenue$64,865+54.2% / +17.7%
DTC-ecom aMER1.04x+84.2% / +44.8%
Brand-launch share of spend27.7%0% → 27.7%
CPG Brand
Contribution up 56% vs March, margin to 33% — while discounting fell.
May 2026 vs March (and vs April) · revenue net
$561K Total-business contribution $  ·  +56.4% vs Mar
Total-business contribution $$561K+56.4% vs Mar
DTC-ecom contribution $$408,327+86.6% / +77.2%
DTC-ecom contribution margin32.4%+14.0pp / +13.3pp
Total-business contribution margin33.0%+10.9pp / +10.1pp
DTC + Amazon revenue$1,697,940+5.0% / +3.1%
DTC-ecom aMER0.75x+13.6% / +14.9%
Discount rate4.0%5.4% → 4.0%
Brand-launch share of spend22.8%9.1% → 22.8%
Premium Apparel Brand
Year-over-year contribution growth nearly 5×’d after Marathon engaged.
YoY growth, pre-engagement vs post (Marathon engaged Feb 2026)
+60.4% Contribution $ YoY, post  ·  +47.9pp accel
Contribution $ YoY (post-engagement)+60.4%+47.9pp accel
Contribution $ YoY — pre-engagement+12.6%Nov ’25–Jan ’26
Revenue YoY — April ’26+36.7%vs +4.8% pre
Revenue YoY — May ’26+21.4%vs +4.8% pre
Contribution margin22.7%+1.6pp
New-customer-rev YoY+14.9%+3.9pp accel
Athletic Apparel Brand
Contribution growth swung from negative to +13% YoY post-engagement.
YoY growth, pre-engagement vs post (Marathon engaged Feb 2026)
+13.0% Contribution $ YoY, post  ·  +15.9pp swing
Contribution $ YoY (post-engagement)+13.0%+15.9pp swing
Contribution $ YoY — pre-engagement−2.9%Dec ’25–Jan ’26
Revenue YoY — Feb–May ’26+1.1%vs −0.9% pre
Revenue YoY — April ’26+9.0%single best month

Measured lift from geo-holdout tests.

Controlled geo-holdout experiments isolating the incremental return of Marathon-run brand media — the honest test of whether spend actually drove new demand.

CPG Brand
6-month geo-holdout · brand media only
1.97x Incremental ROAS
1.97xIncremental ROAS
Six-month geo-holdout · brand media only.
2xRetail impact vs ecom
Brand media drove twice the lift in retail as it did in ecommerce.
>2xvs saturated direct response
Their in-platform Meta blended ROAS was 0.9x — adding brand media drove more than double the return of their saturated DR.
Skincare Brand
4-month geo-holdout · brand media only
2.38x Incremental ROAS
2.38xIncremental ROAS
Four-month geo-holdout · brand media only.
>40%measured halo onto TikTok Shop
Over 40% of the incremental ROAS was a measured halo onto TikTok Shop — the halo runs from Meta & YouTube to TikTok Shop, the opposite of the common assumption.
+40%vs every DR test
40% higher incremental ROAS than every direct-response incrementality test the brand had run.

We do CRO, too — and it compounds into the P&L.

Beyond media, Marathon runs a continuous, structured on-site testing program — and only validated winners ship to 100% of traffic. It’s the most under-rated lever in growth, and it compounds harder than any paid-media incrementality test: an incrementality test measures the return on one channel’s spend, while a CRO win lifts the value of every session — paid or organic — permanently, right at the bottom of the funnel where intent is highest. A single win keeps paying across all traffic, from every channel, long after the test ends — and the downside is capped: a test that doesn’t graduate never ships and costs nothing but a sharper read on what does.

Validated winners, live to 100% of traffic — and compounding.
Conservative annualization from each winner’s own page or segment GA revenue.
~$2.4M Annualized revenue from rolled-out CRO winners
Annualized revenue from rolled-out winners~$2.4Mlive to 100% of traffic
Tests in flight (early signal)+~$0.8Mpipeline building
Total CRO pipeline~$3.2M/yrand compounding
Every winner keeps paying — it lifts conversion on all future traffic, paid and organic. Tests that don’t graduate cost nothing but a sharper read on what does.

Contribution figures combine actual revenue with the brand’s standard variable-cost assumptions. Percentage-point (pp) deltas shown for rate metrics. Pre/post YoY framing isolates Marathon’s engagement period from the same months a year prior. Brands anonymized to category; all figures from client systems of record.

Are these numbers good?

Brand advertising drives more profitable growth than direct response — and you see it right away, in the number that matters most: contribution dollars.

Brand Drives More Revenue Than DR

1.93x – 2.39x iROAS on Brand Campaigns

Brand outperformed every direct-response tactic tested in the same accounts, in the same windows. Measured by rigorous causal geo-holdouts — 90% confidence interval lower bound above 1.0x on one test; 97% probability of positive return on the other. The opposite of what the industry tells you to expect from brand spend — replicated across categories.

No Trough, Immediate Profit

Contribution Dollars Rose From Month One

The industry says brand investment means months of losses before any payoff. The data says otherwise. In the engagements we’ve measured, contribution dollars and margin improved within the first month — no trough, no observed revenue drop. We reallocate the least-efficient spend first, so the profit shows up immediately while the business keeps growing.

Why these results are so important: Measured brand advertising can drive more profitable growth than direct response — and it shows up fast. Same accounts, same windows, brand outperformed the DR tactics tested when measured by causal holdouts, and contribution dollars rose from the first month with no trough. Direct response stops when the ads stop. Brand compounds. Marathon makes that measurable.

Results at a Glance — by Brand

These results isolate causal lift from brand-building campaigns — not traditional direct response — alongside the web-revenue work that compounds into the same P&L. Across categories, the pattern is the same: when teams measure the incremental revenue signal, they can see where demand is actually growing.

Incremental Returns & Web Revenue

Beauty & Skincare (~$100M)
2.39x Incremental

97% confidence across Shopify, Amazon, and TikTok Shop. Higher incremental return than every DR tactic tested in the same period.

Outdoor Gear (Wholesale)
2.5x Retail Lift

Causal holdout at major retailer proved brand building materially drives wholesale. 2.5x incremental retail partner revenue lift on brand media alone.

~$40M Food & Bev
1.93x Incremental ROAS

Six-month causal holdout. Platform showed 0.91x blended ROAS for DR during the same period. Revenue lift over 2x higher than all of direct response. Brick-and-mortar lift 2x larger than e-commerce.

Web Merchandising & CRO
~$2M Annualized

Nearly $2M in annualized incremental revenue in the first months from measurement-informed web merchandising and CRO work. Higher revenue per session makes every paid-media dollar scale more profitably.

What We Heard From the Industry — and What the Data Actually Shows

What the Industry Says

  • Brand investment means adding budget on top of what you’re already spending
  • There will be months of losses before any payoff materializes — it’s a long-term play
  • Performance media means direct response — top-of-funnel doesn’t drive measurable returns
  • No one has proven this works at scale — results like these are a one-off that cannot be replicated

What the Data Actually Shows

  • Top-of-funnel brand campaigns drive stronger incremental ROAS than direct response — proven across multiple brands by rigorous causal holdout tests
  • Contribution margin improves in weeks because the least efficient DR dollars are reallocated first — no budget added
  • Brand searches, new customer acquisition, and community growth respond in days and weeks, not months
  • The results have been replicated across multiple brands, categories, and channels — it is not a one-off

Every incrementality result below was measured by direct response standards — the hardest standard there is. The brand perspective upside is additive: while driving incremental revenue, these campaigns simultaneously build audience, brand searches, and baseline. A 2x return on brand spend is fundamentally more valuable than a 2x return on DR spend — the brand version compounds.

The Evidence, Brand by Brand

Every metric is sourced. Every claim is verified.

Case Study 1  ·  Premium Performance Denim Brand  ·  ~$75M Revenue  ·  DTC + Retail + Wholesale
Where They Started

The Starting Point

Total Revenue
Volatile

Up and down week to week — inconsistent YoY comps with no clear growth trajectory

New Customer Revenue
Down YoY

Significant negative comps on new customer acquisition — the engine of future growth was stalled

Contribution Margin %
~18%

A lot of wasted ad spend — heavy investment across Google brand keywords, CTV, podcast, and Reddit with diminishing returns

Decision Framework
Gut Feel

No contribution margin visibility, no incrementality measurement, budget decisions made on platform ROAS

“It’s not formulaic. It’s a gut decision.” — VP Marketing, December 2025

What Marathon Measured

Smart Reallocation, Not Added Budget

Increasing Reach to New Audiences

Marathon surfaced diminishing returns in retargeting and retention spend, giving the team confidence to reallocate into campaigns designed to reach new people who did not know the brand yet.

Brand-Centric Creative Across the Whole Funnel

The team used Marathon to evaluate creative that reinforced who the brand is at every stage — not generic direct response ads that could have come from any brand.

Systematic Brand Measurement

Brand campaigns were held accountable by contribution margin, brand searches, and new customer revenue — not in-platform ROAS. Weekly Marathon measurement created clear thresholds for scaling.

Same budget, better allocation. Marathon measurement showed where top-of-funnel brand-building campaigns could replace the least efficient DR dollars — not supplement them. The returns compound through brand searches and baseline revenue that no direct response campaign can build.

Results Measured With Marathon

Contribution Dollars Up Sharply Year Over Year — No Trough

Contribution Dollars
≈ +50% YoY

Contribution dollars grew roughly 50% year over year after the least-efficient spend was reallocated into brand campaigns — no added budget.

Contribution Margin %
18% → mid-20s%

Contribution-margin rate improved year over year every month of the engagement — from roughly 18% the prior year into the mid-20s%, about a 29% year-over-year improvement in the strongest month.

Revenue & New Customers
Climbing

Total revenue and new-customer revenue grew year over year through the engagement — no short-term drop while margin improved.

DTC Revenue
Up YoY

DTC e-commerce revenue grew year over year after the team began using Marathon to measure and optimize the allocation, giving the brand-campaign work room to compound beyond one-week paid-click performance.

Contribution $ vs Prior Year
Well Above

Weekly contribution dollars ran well above the prior year across the engagement — every month outpaced the prior year.

CM$ YoY Growth
Accelerating

Weekly contribution-dollar year-over-year growth strengthened through the period, accelerating month over month

No blind trough. No observed revenue drop in this engagement. Marathon measured the impact of top-of-funnel brand-building campaigns — not more direct response spend. Contribution dollars grew sharply year over year while revenue and new customers kept climbing, because the dollars reallocated into brand campaigns were already the least efficient in the account. This was measured, not launched and left to hope.

Case Study 2  ·  Better-for-You Wellness CPG Brand  ·  DTC + Retail

New-Customer Acquisition Turned the Corner

Social Following
341x Growth

From ~2 new followers/day in January to 683/day by March

Daily Social Shares
+629%

22 shares/day → 161 shares/day in two months

This is what an immediate inflection looks like: new-customer acquisition turned positive within weeks of the engagement — no trough, no waiting two quarters for brand to “kick in.” Marathon measured these results from top-of-funnel brand-building campaigns. DR spend buys a click that disappears tomorrow. Performance brand-building builds compounding demand that keeps lowering acquisition cost long after the campaign ends.

Case Study 3  ·  Heritage Footwear Brand  ·  ~$50M Revenue  ·  DTC

Contribution Margin +37% YoY, Revenue +20% — In Under Two Months

Contribution Margin YoY
+37%

Contribution-margin dollars growing at +37% year-over-year while the brand campaigns scale

Weekly Revenue
+20% YoY

$1.49M weekly revenue, trending up every week since engagement start

Time to Impact
< 2 Months

Current results from an engagement that started mid-January 2026 — not projections. Margin and revenue grew immediately, with no trough.

The Marathon measurement period started in mid-January 2026 — less than two months before this readout. Contribution margin was up 37% YoY and weekly revenue up 20%, climbing every week since we started. These were current results — not projections — with no trough on the way up. Unlike direct response, the demand brand-building creates persists and compounds long after the spend.

Case Study 4  ·  ~$40M Multichannel Lifestyle Food & Beverage Brand  ·  DTC + Major Retailer

1.93x Incremental ROAS — Proven by Six-Month Causal Holdout

Adjusted Incremental ROAS
1.93x

Every $1 of brand spend returned $1.93 in proven incremental revenue. 90% CI: 1.45x – 2.41x — entire range above breakeven.

vs. Direct Response
2.1x Higher

Brand incremental ROAS was 2.1x higher than the blended in-platform DR ROAS (0.91x) during the same period. Brand outperformed DR by every measure.

Retail vs. E-Commerce
2x Larger in Retail

Brand is profitable in e-commerce, but twice as profitable in building wholesale. Incremental retail lift was 2x larger than DTC — revenue you cannot reach with direct response ads.

This is a 6-month causal geo-holdout — the most rigorous test available. These were exclusively top-of-funnel brand-building campaigns. The platforms said 0.91x. The measured incremental return was 1.93x. And here’s what makes this fundamentally different from DR: while generating that 1.93x incremental return, these brand campaigns were also building brand searches, growing the audience, and lifting retail sales in channels with zero ad targeting. No direct response campaign does that. Marathon made the gap measurable.

Case Studies 5 & 6  ·  Cross-Channel Validation

The Results Replicate Across Categories and Channels

Both results below came from top-of-funnel brand-building campaigns only — no DR. Both outperformed direct response on the measured standards in these tests. Two more data points showing the pattern across categories. More case studies are being added continuously.

Global Outdoor Gear Brand  ·  Wholesale + DTC
Causal Revenue Lift at Major Retailer
2.5x

Geo-holdout test measuring brand campaign impact on wholesale sell-through at a major outdoor retailer, excluding all DTC channels. Brand building materially drives wholesale — revenue you cannot reach with direct response.

~$100M Beauty & Skincare Brand  ·  Multi-Channel
Adjusted Incremental ROAS
2.39x

6-month geo-holdout across Shopify, Amazon, and TikTok Shop. 97% statistical confidence that spend is profitable.

vs. Direct Response
Higher Than All DR

The Marathon-measured brand holdout showed a higher incremental return than every DR tactic they ran incrementality studies against. Four independent tests — the Marathon brand holdout, one in-platform DR incrementality test, two CTV lift studies. Brand outperformed DR across the board.

How Measurement Gets Started

Weeks 1–2
Foundation
  • Data audit — validate billing, tracking, revenue, and ad-platform inputs before modeling.
  • Define the audience and segment views needed to measure incremental new customer growth
  • Map channel mix, campaign structure, and revenue sources so Marathon can read the business correctly
Weeks 2–4
Model Training
  • Top & upper-mid funnel campaigns are tagged and monitored across Meta, YouTube, and TikTok
  • 30-day model trainer with holdout data completes the tuning of the Marathon brand model with causal data
  • Creative is classified across the whole funnel so Marathon can identify which assets build demand
Day 30
Model Live
  • Marathon model goes live — fully populated with causal and statistical data, retraining weekly, updated daily
  • Brand budgets can start conservatively and scale as they earn more budget — backed by the data to support every dollar
  • Creative feedback loop shows what drives incrementality and Brand Value at every funnel stage
Day 30+
Scale & Capture
  • Identify what works — validated by volume growth, organic sessions, and behavioral confirmation
  • Inform creative iteration with true diversity — more shots on goal, not just DR variations
  • Track the larger funnel as demand capture improves — more people who already know and trust the brand

By day 60, the team can see whether the auction is becoming less important — because Marathon tracks the growing body of people who proactively seek the brand out before they ever see a direct response ad. The data is clear: this does not have to be a sacrifice. Across Marathon customers, contribution margin improved in weeks, not months. The full funnel performed better than bottom-funnel spend alone.

The Information Is Public. The Measurement Was Missing.

The Research
Decades of Evidence

The case for brand-building is not new. Binet & Field, Les Binet, Byron Sharp — the academic evidence has existed for decades. Share of search predicts share of market. Brand investment compounds. The research is public.

  • Top-of-funnel reach drives brand search, and brand search drives revenue
  • Brands that stop building eventually pay more to acquire the same customers
The Gap
Knowing vs. Proving

Most brands know brand matters. Almost none can measure it in a way that justifies the investment to a CFO — so they keep defaulting to what's measurable: direct response. The measurement gap is the budget-allocation gap.

  • Without measurement, brand budgets are defended by opinion, not data
  • Without measurement, no one knows whether it's working until it's too late
The Difference
Proof at Every Step

Marathon closes the measurement gap. Every campaign is held accountable by contribution margin, brand searches, and causal incrementality — not in-platform ROAS. That's what makes the decision framework different.

  • Results are visible in weeks, not quarters — because we measure what moves first
  • Every dollar can scale because the data says it should, not because someone thinks it will

This is better performance — not a tradeoff. The measured incrementality on brand campaigns consistently exceeded DR in every account measured with Marathon. Creative diversity brought in full-price brand buyers instead of discount shoppers and built a compounding demand engine that no direct response campaign could replicate. Marathon productizes the measurement and optimization loop so teams can prove where brand investment is creating value.

What This Builds

What We Measure

We are triangulators. That’s our job.

  • Brand Value & Incrementality — iROAS on new audiences, conversion lift, holdout vs. exposed
  • Reach & New Audiences — spend to new audiences, cost per thousand accounts reached, reach growth
  • Brand Searches — branded organic search volume, the leading indicator of compounding demand
  • Engagements Across the Funnel — brand actions, community growth, engagement rate by funnel stage

Creative That Compounds

Immediate signal on what drives both incrementality and brand value. More toward brand value at the top, more toward demand capture at the bottom — but we want both working at every stage.

The Compounding Effect

Every dollar of brand investment creates people who come to you without ever seeing or clicking a direct response ad. They search the brand. They memorize the URL. They come directly.

This stream of revenue grows and compounds over time — reducing dependence on the auction, increasing optionality, and growing owned audiences.

One client saw contribution dollars up 60% in 80 days. Another hit seven consecutive weeks of CM$ growth with no decline. This isn't a long-term bet — it pays out in weeks.

What Success Looks Like

A fundamentally larger funnel of people who already know and trust your brand — less dependence on the auction, more control over your own growth.

That means: More demand to capture, less cost to capture it, higher margins, and a growth engine that keeps compounding after the holiday.

The Results Are in the Data.

Across Marathon customers — denim, wellness, footwear, food & beverage, outdoor gear, beauty — the pattern is the same. Top-of-funnel performance brand-building campaigns measured through Marathon drove stronger incremental ROAS than anything on the DR side. No short-term loss. No trough. Results in weeks. These results were surfaced by rigorous measurement and real-time optimization, not by waiting months to see whether brand spend worked. More case studies are being added continuously.

Early Improvement

These Marathon customers saw contribution margin, revenue, and new customer acquisition improve from the first weeks — measured against top-of-funnel brand campaigns, not more DR spend

Protected Near-Term Health

In this case-study set, we did not observe a revenue drop or contribution-margin decline while the media mix shifted. That is the point to prove before brand investment gets scaled.

Brand Outperformed DR in These Tests

1.93x–2.39x incremental return on brand campaigns alone — higher than every DR tactic tested in the same accounts, proven by independent causal geo-holdout tests with statistically significant positive lift (90% CI lower bound above 1.0x on one; 97% probability of positive return on the other)