--- title: "Free DTC / Ecommerce Wasted Ad Spend Calculator | MarginFix" description: "Free DTC / Ecommerce wasted ad spend calculator. Explore modeled annual opportunities, assumptions and separate published case lower medians." url: https://marginfix.ai/estimator/ecommerce/ lastmod: 2026-11-11 --- [Home](/) › [Estimator](/estimator/) › DTC / Ecommerce DTC / Ecommerce · margin leak estimator # How much is your DTC / Ecommerce marketing leaking? Use your revenue, marketing spend and answers to explore a modeled annual opportunity range. Free, with no login or account access. Use the results on your own, or choose a paid audit or a fit call. Both next steps are optional. Free · No login · Nothing leaves your browser Model reference: $54k/yr. Published cases: 10, lower median $53,000/yr. Separate acquisition from contribution after product costs, shipping, returns and discounts. A blended ROAS does not establish contribution profit. Live reading · updates on every answer Leak risk score Appears after your first answer. Based on your answers, not on the dollars. Pick an industry to sharpen the range. Directional model output. Not a measured loss or promised recovery. Formula and rates are disclosed below. Step 1 of 7 · Tell us about the DTC / Ecommerce business Rough numbers are fine. ## Tell us about the DTC / Ecommerce business Three quick inputs set your baseline. Rough numbers are fine, and nothing leaves your browser. Quick start Monthly revenue Monthly marketing spend Industry #### Advanced: blended ROAS and site conversion rate (optional) Blended ROAS (revenue ÷ ad spend) Site conversion rate (%) Optional, and it stays in your browser. Either number narrows your range instead of widening it: the model stops guessing at your efficiency and uses yours. Choice steps advance on click. Nothing leaves your browser. The calculator is free. An optional paid audit checks your account data and produces evidence for its findings. #### What is the next step? Keep your estimate, explore the case studies or request a paid audit. The calculator does not connect to your accounts. A fit call can help you assess whether an audit is appropriate. #### Model assumptions and limitations This calculator applies model assumptions to your inputs. Its range, comparison position and score are directional scenarios, not measured account losses, verified peer percentiles or a recovery promise. The industry reference amounts are model references, distinct from the lower medians of published case figures. Underlying calibration budgets and validation evidence are not published. - Monthly marketing spend is multiplied by 12 and the selected industry rate band. Monthly revenue is multiplied by 12 and 0.84% to 1.63% for the second term. These two modeled terms are added, adjusted by your answers, and rounded. - Higher spend changes the marketing term; higher revenue changes the pricing, margin and retention term. These terms may describe related economic effects, so their sum is a scenario for investigation, not additive proven savings. - The comparison uses the marketing term only. Its reference is annual marketing spend multiplied by the middle point of the industry model curve. A position from 10 to 90 on that curve is not an observed peer percentile. - The 0 to 100 score summarizes the selected answers. Category scores reflect allocated shares of the estimated midpoint, not independently measured health. - Optional ROAS and conversion inputs scale the range against model reference values and narrow it by a fixed factor of 0.70 before rounding. A narrower interval does not establish greater statistical confidence. - When spend exceeds half of revenue, a midpoint limit of 6% of annual revenue can activate. Rounding and minimum interval width still apply. This is a model safeguard, not an observed business limit. Input and coefficient sensitivity are model behavior. Calibration periods, eligible budgets and validation errors are unavailable in the published cases. Directional model estimates, not a diagnosis of your accounts. Nothing leaves your browser to produce this result. Behind the DTC / Ecommerce estimate ## What the model assumes for DTC / Ecommerce The DTC / Ecommerce model reference is $54k a year. Among the five modeled categories, DTC / Ecommerce gives Wasted paid spend a 15% heavier weight in the category split and a head start as the first area to investigate when your answers point two ways. The 10 published DTC / Ecommerce cases are a separate statistic: a lower median annual highlight figure of $53,000, computed from the cases listed below, not from the model. The largest of them is Scaling prospecting spend was losing money on every sale, +$134k a year, found in 6 days. ## What the DTC / Ecommerce estimator asks Every version of the calculator starts from monthly revenue and monthly marketing spend. Three of the seven questions then carry DTC / Ecommerce options, listed here as the wizard shows them. Each option still maps to the same five leak categories, which is what keeps a DTC / Ecommerce estimate comparable with any other. ### Where does most of your marketing budget go? The DTC / Ecommerce channel mix. The answer moves weight between wasted paid spend and attribution. - **Paid social: Meta, TikTok** - **Google Search & Shopping** - **Marketplaces & retail media (Amazon)** - **Influencers & affiliates**: Creator fees, gifting & affiliate commissions - **Organic, email & SEO** - **Honestly, I’m not sure** ### How do you mainly make money? The DTC / Ecommerce revenue model. The answer moves weight between pricing and retention. - **One off orders** - **Subscribe & save / replenishment** - **Mostly via marketplaces (commission)**: You sell on Amazon and similar marketplaces, which take a cut - **Retail / wholesale channels too** - **A mix** - **Not sure / it varies** ### Where do you suspect you lose the most? The DTC / Ecommerce vocabulary for the five categories. The answer orders the checklist; it never moves the score. - **Wasted ad spend** - **Tracking & attribution (iOS, ROAS)** - **Site & checkout conversion** - **Margin, discounting & shipping** - **Repeat purchase & LTV** - **Not sure: that’s why I’m here** ### Tracking and the optional inputs DTC / Ecommerce answers the tracking question on the web analytics scale, from a modeled, reconciled first party setup down to patchy or not sure. Advanced, optional: a blended ROAS, placeholder 3.0, and a site conversion rate, placeholder 2.0%. Either one narrows the DTC / Ecommerce range instead of widening it. ## Four DTC / Ecommerce leak patterns from the published cases Each card names the cases it rests on; open one for its evidence. Together the cards cover all 10 published DTC / Ecommerce cases. The [DTC / Ecommerce marketing audit page](/industries/dtc-ecommerce/) explains each pattern and shows the before and after of its largest case. Paid media ### Blended ROAS hiding the losers 4 of the 10 published cases · $31k to $134k a year - [Scaling prospecting spend was losing money on every sale](/cases/scaling-spend-was-hiding-a-134k-annual-margin-leak/), +$134k a year - [The agency’s ‘winning’ campaign was the biggest loser](/cases/the-agency-s-winning-campaign-was-the-biggest-loser/), −$53k a year - [Retargeting was paid twice for the same customer](/cases/retargeting-was-paid-twice-for-the-same-customer/), −$31k a year - [Affiliate commissions were being paid on sales the brand already owned](/cases/affiliate-commissions-were-being-paid-on-sales-the-brand-alr/), −$44k a year Unit economics ### Shipping, fees and landed cost 3 of the 10 published cases · $47k to $61k a year - [Free shipping was quietly deleting the margin on every third order](/cases/free-shipping-was-quietly-deleting-the-margin-on-every-third/), +$47k a year - [Bestsellers were priced below their true landed cost](/cases/bestsellers-were-priced-below-their-true-landed-cost/), +$59k a year - [FBA fees and returns had overtaken the margin on the hero ASINs](/cases/fba-fees-and-returns-had-overtaken-the-margin-on-the-hero-as/), +$61k a year Pricing and promotions ### Discounts that train buyers to wait 2 of the 10 published cases · $38k to $68k a year - [A discount habit was training the best customers to wait](/cases/a-discount-habit-was-training-the-best-customers-to-wait/), +$68k a year - [Bundles were cannibalizing full price hero SKUs](/cases/bundles-were-cannibalising-full-price-hero-skus/), +$38k a year Retention ### Churn hidden behind new trial spend 1 of the 10 published cases · $55k a year - [Subscription churn was masked by aggressive new trial spend](/cases/subscription-churn-was-masked-by-aggressive-new-trial-spend/), +$55k a year ## What an audit checks after a DTC / Ecommerce estimate - Campaign profitability by SKU margin, not [blended ROAS](/glossary/blended-roas/) - Feed quality, search term bleed and negative keyword coverage - Checkout funnel and shipping threshold economics - Email and SMS flow coverage against a best practice map - Attribution double counting across Meta, Google and GA4 The estimate points at a category; the audit tests these 5 DTC / Ecommerce checks against your own account data. Compare industries in the [2026 benchmark](/benchmark/). Why trust the estimate ## A wasted ad spend calculator with explicit assumptions. 01 ### Industry model assumptions The calculator uses industry rates and your inputs. Published case lower medians are shown separately so you can compare their definitions. 02 ### Understand the range The interval describes a model scenario. It does not establish the percentage of comparable businesses that achieved that result. 03 ### The audit makes it real An estimate can’t be acted on by itself. The audit names each leak, proves it with your data and hands you the fix. $10,000 to $50,000 of findings, or your money back. Next step, optional ## Turn estimates into evidence. Fixed fee. 5 to 7 working days. $10,000 to $50,000 of findings, or your money back. [Request an audit](/book/) [Talk to an auditor · 15 min](/book/call/) ## Questions about the DTC / Ecommerce estimator. ### Is the estimator really free, and what’s the catch? Yes. The DTC / Ecommerce calculator uses your inputs and the DTC / Ecommerce model assumptions, with no account access. You can keep the results or choose an optional paid audit or fit call. ### Does the calculator need access to my ad or analytics accounts? No. It runs entirely in your browser from a few situational inputs, with DTC / Ecommerce preselected as the industry. No logins and no account access, by design. ### How accurate is the estimate? It is a directional model using your inputs and DTC / Ecommerce industry assumptions. Its range and comparison position are not verified peer percentiles or measured account losses. The 10 published DTC / Ecommerce cases are a separate statistic, with a lower median annual highlight figure of $53,000 and a largest published case figure of $134,000 a year. An audit checks your own evidence. ### What does the DTC / Ecommerce estimator ask that the general calculator does not? Three of its seven questions carry DTC / Ecommerce options. Where the budget goes offers Paid social: Meta, TikTok, Google Search & Shopping, Marketplaces & retail media (Amazon), Influencers & affiliates and Organic, email & SEO. How you make money offers One off orders, Subscribe & save / replenishment, Mostly via marketplaces (commission), Retail / wholesale channels too and A mix. Where you suspect the loss offers Wasted ad spend, Tracking & attribution (iOS, ROAS), Site & checkout conversion, Margin, discounting & shipping and Repeat purchase & LTV. Each answer still maps to the same five leak categories, so a DTC / Ecommerce estimate is comparable with any other. ### Why does the DTC / Ecommerce calculator ask for a blended ROAS? It is optional. The DTC / Ecommerce version offers two advanced inputs, a blended ROAS with 3.0 as the placeholder reference and a site conversion rate with 2.0% as the placeholder. Either number narrows your DTC / Ecommerce range rather than widening it, because the model stops guessing at your efficiency and uses yours. Leave both empty and the range stays wider. ## DTC / Ecommerce wasted ad spend calculator: model and case evidence This calculator applies model assumptions to your inputs. Its range, comparison position and score are directional scenarios, not measured account losses, verified peer percentiles or a recovery promise. The industry reference amounts are model references, distinct from the lower medians of published case figures. Underlying calibration budgets and validation evidence are not published. Separate acquisition from contribution after product costs, shipping, returns and discounts. A blended ROAS does not establish contribution profit. Scroll horizontally to compare all columns on a narrow screen. Model references and published case lower medians | Industry | Published cases | Model reference / year | Case lower median / year | | --- | --- | --- | --- | | [DTC / Ecommerce](/industries/dtc-ecommerce/) | 10 | [$54k](/estimator/ecommerce/) | $53,000 | 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. [Benchmark definitions](/benchmark/) · [Published findings and case links](/findings/)