Break-Even ROAS for Indian D2C: A Contribution-Margin Audit

Which costs belong in contribution margin?

Start from net sales, not list price or platform conversion value.

| Layer | Include in the audit? | Typical evidence | | --- | --- | --- | | Discounts and taxes | Yes, reconcile to finance treatment | Order line and tax reports | | COGS | Yes | Product and landed-cost table | | Returns and cancellations | Yes, use an observed allowance | Cohort return report | | Fulfilment, packaging and shipping subsidy | Yes when order-variable | 3PL and carrier invoices | | Payment and COD costs | Yes | Gateway and reconciliation reports | | Marketplace or affiliate fees | Yes for affected orders | Channel statements | | Fixed salaries and rent | Usually below this threshold | Management P&L | | Paid media | No; this is the cost being tested | Ad platform and finance spend |

The result is not universally named the same way. Some finance teams call it contribution margin one; others use gross profit after fulfilment. The label matters less than a stable, written definition.

What does an Indian D2C worked example show?

Consider a fictional skincare order with a ₹2,000 list price. The figures are synthetic.

| Order item | Amount | | --- | ---: | | List price | ₹2,000 | | Discount | -₹200 | | Net sales used for the audit | ₹1,800 | | Product and landed cost | -₹720 | | Fulfilment, packaging and shipping subsidy | -₹250 | | Payment and COD allowance | -₹70 | | Returns and cancellation allowance | -₹220 | | Contribution before advertising | ₹540 |

Contribution margin = ₹540 ÷ ₹1,800 = 30%

Break-even ROAS = 1 ÷ 0.30 = 3.33x

Now assume a festive offer increases the discount and raises return behaviour, reducing contribution to ₹360 on the same ₹1,800 of net sales. Margin falls to 20%, so break-even ROAS rises to 5.0x. A campaign returning 4.2x has not become inefficient by platform convention; it has become unprofitable under the offer's actual economics.

Methodology: contribution is calculated after order-variable costs and before advertising. No client data, overhead allocation, lifetime value or tax advice is implied.

Use HML's Break-Even ROAS Calculator to check the arithmetic, then replace its inputs with the reconciled cost stack above.

Why does one account-wide threshold fail?

A blended target can hide materially different economics:

• high-margin accessories mixed with low-margin hero products;
• prepaid orders mixed with costly COD orders;
• full-price acquisition mixed with discount-led campaigns;
• low-return categories mixed with size-sensitive apparel;
• new customers mixed with repeat buyers; and
• metro delivery economics mixed with remote-zone shipping.

Create a threshold at the same level as the budget decision. A campaign restricted to one category should not inherit an account margin dominated by another category. Do not create hundreds of fragile targets, though: group products only where margin and customer behaviour are genuinely comparable.

How should repeat purchases affect the target?

First-order break-even is the conservative view. A brand with reliable cohort retention may intentionally accept a first-order loss, but that is an LTV decision rather than permission to ignore unit economics.

Show three thresholds separately:

1. First-order break-even: realized contribution from the acquisition order.
2. Observed cohort break-even: cumulative realized contribution at a fixed age, such as 90 days.
3. Forecast lifetime threshold: modeled future contribution, labelled with assumptions and uncertainty.

The LTV:CAC and payback guide explains why cohorts must be compared at the same age. Never let an optimistic lifetime forecast silently lower a campaign target used to spend cash today.

Should Google Ads receive revenue or contribution value?

Google's current conversion-value guidance says advertisers can optimise toward values such as sales revenue or profit margins. Either can be useful, but the team must not mix the definition sent to the platform with the definition used to judge the result.

If Google receives net revenue, compare conversion value divided by cost with the revenue-based break-even ROAS calculated above. If Google receives order-level contribution before advertising, the platform's conversion value/cost becomes a contribution return: 1.0x is the mathematical break-even point before any safety buffer. A 4.0x revenue ROAS and a 1.0x contribution return can describe the same economics when contribution margin is 25%.

Document the value schema, refund adjustments, currency, attribution window and effective date before changing bids. Google's Target ROAS documentation describes the target as an average conversion-value return and advises grounding it in business goals and historical performance. It does not know whether the advertiser's uploaded value means gross revenue, net revenue, margin or forecast lifetime value; that definition belongs to the business.

How should Google Ads forecasts be used?

Google says its bid and target simulators estimate how alternative settings might have changed recent campaign results. Performance Planner models how budget and bid changes may affect future metrics and allocation.

These are planning inputs, not profit calculations. Google does not know the complete cost stack unless the advertiser supplies and maintains it. For each forecasted spend point, translate conversion value into expected contribution and compare the result with cash, stock and new-customer constraints.

If the proposed change is material, Google's Experiments guidance recommends a clear business hypothesis and isolating the variable being tested. Keep price, promotion, landing page and conversion definitions stable where possible.

What audit should happen before increasing spend?

Run this sequence:

1. Reconcile the latest complete period between Shopify, payments, returns and finance.
2. Group products and offers by comparable margin.
3. Calculate first-order contribution before advertising.
4. Convert each margin into a break-even ROAS.
5. Add an explicit safety buffer for attribution error, delayed refunds and profit.
6. Compare platform ROAS with both the segment threshold and blended MER.
7. Model the next spend band with current platform tools.
8. Scale one bounded step, then evaluate realized contribution and new-customer quality.

The furniture retail performance case study shows why the target should follow the brand's economics rather than a universal benchmark.

What should the weekly decision table contain?

| Decision field | Required output | | --- | --- | | Margin version | Date, owner and included costs | | Product or offer group | Revenue and contribution share | | Break-even ROAS | Economic floor | | Operating target | Floor plus disclosed safety buffer | | Actual result | Platform ROAS and reconciled contribution | | Scale evidence | Forecast, experiment or observed spend band | | Constraint | Cash, stock, returns, fulfilment or data quality | | Action | Hold, test, scale or reduce |

If platform ROAS rises while contribution falls, investigate product mix, discounting, attribution and returns before celebrating. If contribution is healthy but platform ROAS falls, test whether incremental customers or broader demand explain the difference.

What should the team do next?

Select the three campaigns receiving the largest budget changes this month. Rebuild their thresholds from net sales and current variable costs, not last quarter's blended gross margin. Document the safety buffer and the evidence required to move into the next spend band.

If paid media, Shopify and finance cannot reproduce the same threshold, request a contribution-margin media audit. HML's performance marketing service connects bidding and budget decisions to retained margin, cohort payback and controlled scale.

Sources

1. Target ROAS: How Setting a Target ROAS Works — Shopify; accessed 9 November 2026.
2. Break-Even Analysis: Find Your Break-Even Point — Shopify; accessed 9 November 2026.
3. Estimate your results with bid, budget, and target simulators — Google Ads Help; accessed 9 November 2026.
4. Create and edit a plan with Performance Planner — Google Ads Help; accessed 9 November 2026.
5. Test with confidence with the Experiments page — Google Ads Help; accessed 9 November 2026.
6. About conversion values — Google Ads Help; accessed 9 November 2026.
7. About Target ROAS bidding — Google Ads Help; accessed 9 November 2026.