Marketing ROI benchmarks: why you should build your own, and how
Chandan KumarFounder · Performance Marketing SpecialistListen to this article
The short answer
Borrowed benchmarks mislead because cost per lead and return vary more within an industry than between industries — a dental clinic in South Delhi and one in Garhwa share a category and nothing else that matters. Build your own from five numbers: average order or contract value, gross margin, lead-to-customer rate, cost per qualified lead, and repeat/lifetime value. From those you get the three figures that actually govern decisions: maximum profitable cost per acquisition, break-even ROAS, and payback period. Recalculate quarterly. The only external benchmark worth tracking is your own trend.
On this page
'What's a good cost per lead in my industry?' is the most common question I get and the one I am least able to answer usefully. I can tell you what we see across the accounts we run, and I can tell you that the range inside any single category is so wide that the midpoint is almost meaningless — a ₹400 lead and a ₹4,000 lead in the same industry can both be excellent or both be disastrous, depending on what a customer is worth. So here is the thing that does work: your own numbers, and the four calculations that turn them into decisions.
Why industry benchmarks mislead
Three reasons. Variance within a category swamps variance between categories: city, ticket size, competition, brand strength and sales capability move cost per lead far more than industry does. Definitions differ: one business counts every form fill as a lead, another counts only qualified enquiries, and comparing those two numbers is meaningless. And most published India benchmarks are US data relabelled, collected in a market with different click costs, buyer behaviour and average deal sizes.
The practical damage is that a borrowed benchmark either makes you complacent — your ₹600 cost per lead looks fine against a quoted ₹800, while your competitor sits at ₹250 — or panicked, when your genuinely profitable ₹3,000 lead looks catastrophic against an average computed from businesses with a tenth of your contract value.
The question to ask instead
Not 'what's normal for my industry' but 'what can I profitably afford'. The second has an answer, and it is specific to you.
The five numbers you need
All five are available from your own records, and if any of them is unknown, finding it out is the highest-return marketing task on your list this week.
| Number | Where to get it | Common mistake |
|---|---|---|
| Average order / contract value | Last 6–12 months of invoices | Using list price instead of realised price |
| Gross margin % | Revenue minus direct costs | Forgetting delivery, payment and return costs |
| Lead-to-customer rate | CRM: qualified leads vs closed | Counting all form fills as leads |
| Cost per qualified lead | Total marketing spend ÷ qualified leads | Excluding agency fees and tools from spend |
| Repeat rate / lifetime value | Cohort of customers from 12+ months ago | Assuming a lifetime value you have not observed |
Calculation 1: what you can afford to pay
Start with gross profit per customer: average value multiplied by gross margin. Decide what share of that you are willing to spend on acquisition — for a business with repeat purchase, spending most of the first order's profit is often correct; for a one-off transaction, you need to keep more of it.
That gives your maximum profitable cost per acquisition. Divide it by your lead-to-customer rate and you have your maximum cost per qualified lead — the number to actually manage campaigns against. Worked example: ₹40,000 average contract, 45% margin, so ₹18,000 gross profit. Willing to spend a third on acquisition: ₹6,000 maximum CPA. Lead-to-customer rate of 20% means a maximum cost per qualified lead of ₹1,200.
| Step | Calculation | Result |
|---|---|---|
| Gross profit per customer | ₹40,000 × 45% | ₹18,000 |
| Max acquisition cost | ₹18,000 × 33% | ₹6,000 |
| Max cost per qualified lead | ₹6,000 × 20% close rate | ₹1,200 |
| Break-even ROAS | 1 ÷ 45% margin | ≈2.2× |
| Payback period | ₹6,000 ÷ monthly gross profit | Depends on billing model |
Calculation 2: break-even ROAS, properly
Break-even ROAS is one divided by your gross margin — at 45% margin you need roughly 2.2× to break even on media alone. Two adjustments people skip: include your agency fee and tooling in the spend figure, not just media, and use realised revenue after discounts and returns rather than gross order value.
For e-commerce in India the returns and RTO adjustment is the one that changes conclusions. A brand reporting 3× ROAS on gross orders with a 25% return rate and COD handling costs is frequently below break-even in reality, which is how a business grows revenue and runs out of cash simultaneously.
1 ÷ margin
Break-even ROAS. At 40% gross margin that is 2.5×; at 25% it is 4×. Any ROAS target set without knowing your margin is arbitrary.
Calculation 3: payback period
Payback is how long a customer takes to repay their acquisition cost from gross profit. For a one-off purchase it is immediate or never. For a retainer, subscription or repeat-purchase business it is the number that decides how aggressively you can spend — a four-month payback lets you grow far faster than a fourteen-month one, at the same margins, because your cash comes back to spend again.
This is also the honest constraint on growth. A business with strong unit economics and a long payback period is limited by working capital, not by marketing, and the fix is financial rather than a change of channel.
Reading your payback period
- 1Under 3 months: you can reinvest aggressively; scale is a media question.
- 23–6 months: healthy; plan cash but grow confidently.
- 36–12 months: growth is capital-constrained. Improve retention or order value before spending more.
- 4Over 12 months: treat expansion as a financing decision, not a marketing one.
What we see across accounts (with the caveat)
Since people will ask: across the accounts we run in India, high-intent search generally produces the cheapest qualified leads and broad social interest targeting the most expensive per qualified lead, with retargeting cheapest of all but limited in volume. Local search and Google Business Profile typically produce the lowest cost per customer for single-location businesses. Lead-to-customer rates vary more with response time than with channel.
I have deliberately not attached numbers to those statements. Our accounts are not a representative sample of Indian business, our client mix skews to particular sectors and ticket sizes, and publishing an average from them dressed as an industry benchmark would be exactly the practice this article argues against.
| Channel | Typical relative cost per qualified lead | Volume ceiling |
|---|---|---|
| Retargeting | Lowest | Low — limited by traffic |
| Brand search | Very low | Low — limited by brand demand |
| High-intent non-brand search | Low to moderate | Moderate |
| Local / Google Business Profile | Low | Geographic |
| Broad social interest targeting | Highest | High |
Make it a quarterly habit
Recalculate the five inputs and three outputs every quarter. Margins move, contract values drift, close rates change with the sales team, and a maximum cost per lead calculated eighteen months ago is quietly wrong in a way that costs money in both directions.
Then use it as the decision rule everywhere: campaigns are judged against your maximum cost per qualified lead, channels are funded on payback, and nobody has to argue about whether a number is 'good for the industry' again. That argument is unwinnable; this one has an answer.
The quarterly review, in one page
- Recalculate average value, margin, close rate, cost per qualified lead, repeat rate.
- Derive max CPA, max cost per qualified lead, break-even ROAS, payback period.
- Compare to last quarter — the trend is your real benchmark.
- Reallocate towards channels inside the limits, away from those outside for two quarters.
- Write it down so next quarter's comparison is possible.
Key takeaways
- Industry benchmarks mislead because variance within a category exceeds variance between categories, definitions of 'lead' differ, and most published India figures are relabelled US data.
- Build your own from five numbers — average value, gross margin, lead-to-customer rate, cost per qualified lead, repeat rate — and derive max CPA, break-even ROAS and payback period.
- Recalculate quarterly and manage campaigns against your own maximum cost per qualified lead; the only external benchmark worth watching is your own trend.
Frequently asked questions
What is a good cost per lead in India?
There is no useful single answer, because the range within any industry is wider than the gap between industries — city, ticket size, competition and sales capability all move it more than category does. The answerable question is what you can profitably afford: gross profit per customer, times the share you will spend on acquisition, divided by your lead-to-customer rate.
How do I calculate break-even ROAS?
Divide one by your gross margin: at 40% margin, break-even is 2.5×; at 25%, it is 4×. Two adjustments matter — include agency fees and tooling in spend rather than media alone, and use realised revenue after discounts, returns and RTO rather than gross order value. For Indian e-commerce the returns adjustment frequently moves an apparently profitable account below break-even.
What is a good CAC payback period?
Under three months lets you reinvest aggressively; three to six months is healthy; six to twelve means growth is constrained by working capital rather than by marketing; and beyond twelve months, expansion is really a financing decision. The figure matters most for retainer, subscription and repeat-purchase businesses, where recovered cash funds the next cohort.
Why are Indian marketing benchmarks so unreliable?
Because most published figures are US data relabelled, collected in a market with different click costs, buyer behaviour and deal sizes; because businesses define 'lead' inconsistently, so the underlying numbers are not comparable; and because genuine India-specific data collection at scale is rare. A number with no source, no year and no definition of its terms cannot be used to make a decision.
How often should I recalculate my marketing economics?
Quarterly. Margins move, average contract values drift, close rates change with your sales team, and a maximum cost per lead calculated a year ago is quietly wrong — sometimes making you underspend on a channel that is working, sometimes letting you overspend on one that is not. Write each quarter's figures down so the trend becomes your benchmark.
Tools & next steps
Put this into practice, go deeper, or see how we'd do it for you.
Written by
Mr. Chandan Kumar
Founder & Performance Marketing Director, Global Info Edge
Founder of Global Info Edge and a performance-marketing specialist with 18+ years — Google & Meta ads, conversion funnels and measurable growth.
View full profile