“Is ₹500 a good price for a lead?”
The useful answer depends on what you sell and how often an enquiry becomes a paid customer. For one business, that lead might be comfortably affordable. For another, it might consume the entire contribution from the eventual sale.
You can build a first estimate with two inputs: contribution per sale and lead-to-sale rate. The calculation is simple. Choosing honest inputs takes more care.
This is a planning model for campaign decisions, not a forecast or a guarantee of profitability. Use your accountant’s view of costs where available, especially if your pricing, tax treatment, or delivery model is complex.
Start with what a sale contributes
Take the revenue you retain from a sale and subtract the variable costs required to deliver it. Depending on the business, those costs may include materials, packaging, transaction fees, delivery, subcontractors, or directly attributable labour.
Do not confuse revenue with money available for advertising. A ₹10,000 order does not provide ₹10,000 to spend acquiring it if fulfilling the order costs ₹7,000.
Keep the basis consistent. Avoid mixing tax-inclusive receipts with tax-exclusive costs or ignoring refunds and cancellations where they are material. If you are unsure, calculate a conservative range and label it clearly until your records provide a better answer.
Fixed overhead and desired profit still need to be covered. The contribution figure is a starting point, not permission to spend all of it on marketing.
Define a lead before calculating conversion
Choose a definition your team can apply consistently. A form submission, a qualified enquiry, and an attended consultation are different stages. Their costs and conversion rates cannot be compared as though they were the same thing.
For a simple model, suppose a lead means a genuine enquiry about the service. Exclude obvious spam and duplicate submissions, but do not quietly remove inconvenient enquiries merely to improve the rate.
Use a group of leads old enough to have reached a sales outcome. Dividing this week’s sales by this week’s new enquiries can mislead if sales usually take a month.
If you have little history, use several scenarios rather than a confident-looking single percentage. Write down why you chose them.
Work through one hypothetical example
Suppose a service produces ₹8,000 in contribution per completed sale before acquisition cost and fixed overhead. Assume one in five genuine enquiries becomes a sale, a 20% lead-to-sale rate.
The break-even lead cost at this level is:
₹8,000 × 0.20 = ₹1,600 per lead.
Across five leads, spending ₹1,600 on each would use ₹8,000 to acquire one sale on average under those assumptions. That would consume the entire contribution before fixed overhead and profit. It is a ceiling in the simplified model, not a sensible automatic bidding target.
If you instead budget ₹800 per lead, five leads cost ₹4,000. That leaves ₹4,000 of the assumed contribution for overhead and profit before other unmodelled costs. Whether that is sufficient depends on the business.
Test the assumptions that can hurt you
In the same example, a 10% conversion rate cuts the break-even lead cost to ₹800. A 30% rate raises it to ₹2,400. The offer has not changed; the sales assumption has.
Try a lower contribution as well. Discounting, rework, refunds, or higher delivery costs can reduce the amount available for acquisition. A campaign that appears profitable at full price may look different once the actual order mix is included.
Use the lead-cost calculator to compare scenarios. Save the inputs alongside the result so nobody mistakes an estimate for a measured business fact.
Avoid adding speculative repeat purchases to justify an otherwise weak campaign. If you use lifetime value, explain the observed repeat behaviour, collection period, retention costs, and uncertainty separately.
Compare the right costs with the right outcomes
Platform-reported cost per lead may exclude agency fees, creative production, software, or staff time. Decide which costs matter to the decision and record them consistently.
Track qualified leads and paid sales as well as raw submissions. Cheap enquiries that never fit the service can consume both ad spend and staff attention. Improving the offer or qualification process may be more useful than increasing the budget.
Allow for the sales cycle before judging a test. Keep a review date, spending limit, and reasons to pause. If the data is thin, say so rather than making a precise claim from a handful of results.
A useful campaign model gives you a boundary and a way to learn. Pair it with consistent campaign tracking and a working enquiry journey. If your team needs help connecting those stages, our growth and automation service focuses on making the numbers traceable to real conversations and outcomes.