Contribution Margin After Marketing

Sell one more order. How much is the company actually left with?

Start with the revenue from that order. Take away the variable costs of serving it — the goods, the packing, the delivery. What is left is the contribution margin.

But the order did not walk in on its own. Money was spent to win it: the advertisement, the discount coupon, the sales call. The workbook says direct marketing expenses should also be deducted. What remains is the contribution margin after marketing.

Why bother with the second step? Because a company can look healthy on the first one and still lose money on every sale. Marketing is where a great deal of start-up cash goes, and this is the line that keeps it honest.

The workbook gives that reason itself. Deducting marketing gives a more efficient analysis of unit economics, and of the control over marketing expenses.

Where it sits (Chapter 11, section 11.8.1). The workbook lists start-up valuation and performance metrics in two groups. Revenue growth and customer retention holds nine, from monthly recurring revenue through customer lifetime value, customer acquisition cost, the CLTV/CAC ratio, churn rate and daily and monthly active users to the net promoter score and the viral coefficient. Financial metrics holds seven, and the contribution margin after marketing is the third, sitting between operating cash flow and return on investment.

The exact rule. The contribution margin is computed by deducting the variable costs per order from the revenue per order. However, direct marketing expenses incurred should also be deducted to arrive at the contribution margin. So in this workbook the after-marketing figure is not an optional refinement — it is the contribution margin the section asks for.

Per order, not per period. Both inputs are stated per order. That is what makes this a unit economics measure: it answers what one more sale is worth, not what the company earned last quarter.

What the neighbouring metrics supply. Item 7 of the same financial list defines average order value as the average revenue per order, derived by dividing total revenue for the year by the total number of orders placed in that year — and the workbook notes it gives insight into how many free products or services are being given away to generate revenue. Item 1 is the burn rate, the rate at which a start-up spends its cash flows, which must be controlled to maintain financial stability and a good runway. A thin contribution margin after marketing and a high burn rate are the same story told twice.

No figure of its own. Section 11.8.1 gives no target value, no benchmark and no worked illustration for this metric. The only numbers the section attaches to any metric are the CLTV/CAC example — a customer acquisition cost of USD 50 against a lifetime value of USD 250, a ratio of 5x — and the viral coefficient example, in which each user sends three referrals converting at 33%, so three existing users bring one more paid user. Neither is a benchmark for the contribution margin. Do not borrow them for it.

Illustrative. Section 11.8.1 gives no worked example for this metric, so the figures are assumptions.

Mitti Kitchen, a Chennai business selling ready-to-cook meal kits online, took 40,000 orders in March and spent Rs 36,00,000 on performance advertising and first-order discount coupons.

Each order leaves Rs 124. Across 40,000 orders that is Rs 49,60,000 in the month to set against fixed costs — rent, salaries and technology.

Now chase growth. In April the company doubles advertising to Rs 90,00,000 and gets 50,000 orders.

Orders grew 25%. The contribution margin per order did not move at all. Yet the money the business kept fell by about two thirds, from Rs 49.6 lakh to Rs 17.0 lakh. Only the after-marketing line shows it — which is precisely the control over marketing expenses the workbook is pointing at.

And the line where it turns negative. At Rs 214 of contribution margin per order, the business runs out of room once direct marketing passes Rs 214 an order. At 50,000 orders that is an advertising budget of Rs 10.7 crore in the month. Beyond it every extra order destroys cash, however fast revenue is growing.

Chapter 11, section 11.8.1 (Valuation Metrics). The two lists of metrics are natural match-the-definition territory, and this one is the item in the financial list with a trap built into its name.

Expect: which measure deducts direct marketing expenses in arriving at the contribution margin (this one); what is average order value (total revenue for the year ÷ total orders placed in the year); what is the burn rate (the rate at which a start-up spends its cash flows). The examinable subtlety is that XIX-D folds the marketing deduction into the contribution margin rather than treating it as a separate, later step.

• Two names, one figure in this workbook. Section 11.8.1 starts by defining the contribution margin as revenue per order less variable costs per order, then says direct marketing expenses should also be deducted to arrive at the contribution margin. So when XIX-D says contribution margin in this section, it means after marketing.
• Per order, not per month. Both inputs are per order, which is what makes it a unit economics measure. A monthly total is a derived figure, not the metric.
• Direct marketing only. The workbook names direct marketing expenses. It does not extend the deduction to fixed overheads, salaries or brand spend, and the result is not a profit figure.
• It is not customer acquisition cost. CAC is stated per new customer; this margin is stated per order, including repeat orders from customers already won. XIX-D defines them as two separate metrics in the same section and does not equate them.
• No benchmark. The section gives no target contribution margin. The 5x CLTV/CAC ratio and the 33% referral conversion belong to other metrics in the same list — quoting either as a contribution margin benchmark is a wrong answer.
• It is a financial metric, not a revenue-growth metric. Monthly and annual recurring revenue, CLTV, CAC, the CLTV/CAC ratio, churn, active users, net promoter score and the viral coefficient sit in the other group.
• Growth can rise while this falls. The example above grows orders 25% and cuts the margin after marketing by two thirds. A question describing exactly that pattern is testing this metric.