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For lead gen brands running Google Ads: the most you can pay for a lead, a qualified prospect and a customer before ads lose money - with junk leads priced in, and what happens when lead costs rise and lead quality slips as you scale.
The usual back-of-envelope says a lead is worth ₹7,500 (₹50,000 x your 15.0% lead-to-sale rate). That prices leads off revenue. After delivery and sales costs only 55% of a deal survives, so the real first-deal ceiling is ₹4,125. Bidding to the first number is how a lead gen account fills the calendar and empties the bank account.
Each cell is monthly contribution profit, priced on the first deal. Green beats your ₹4,125 break-even CPL, red does not. Cheaper leads sit on the left.
At ₹75,000 and ₹250 per lead you make ₹11.6L a month - the outlined column below.
| Monthly spend | ₹250yours | ₹1,650 | ₹2,400 | ₹3,150 | ₹3,900 | ₹4,700 | ₹5,450 | ₹6,200 |
|---|---|---|---|---|---|---|---|---|
| ₹37,500 | ₹5,81,250 | ₹56,250 | ₹26,953 | ₹11,607 | ₹2,163 | -₹4,588 | -₹9,117 | -₹12,550 |
| ₹56,250 | ₹8,71,875 | ₹84,375 | ₹40,430 | ₹17,411 | ₹3,245 | -₹6,882 | -₹13,675 | -₹18,826 |
| ₹75,000now | ₹11.6L | ₹1,12,500 | ₹53,906 | ₹23,214 | ₹4,327 | -₹9,176 | -₹18,234 | -₹25,101 |
| ₹1,12,500 | ₹17.4L | ₹1,68,750 | ₹80,859 | ₹34,821 | ₹6,490 | -₹13,763 | -₹27,351 | -₹37,651 |
| ₹1,50,000 | ₹23.3L | ₹2,25,000 | ₹1,07,813 | ₹46,429 | ₹8,654 | -₹18,351 | -₹36,468 | -₹50,202 |
| ₹2,25,000 | ₹34.9L | ₹3,37,500 | ₹1,61,719 | ₹69,643 | ₹12,981 | -₹27,527 | -₹54,702 | -₹75,302 |
Click any cell to see exactly how that number is worked out.
The grid lets you read down a column as if CPL holds while spend triples. In lead gen it fails on two fronts at once: the auction gets dearer as you chase volume, and targeting loosens so the leads themselves get worse. Set both assumptions and the table follows the path you would really take.
| Monthly spend | CPL | Leads | Customers | Cost per customer | Marginal cost per customer | Net profit |
|---|---|---|---|---|---|---|
| ₹37,500 | ₹217 | 172 | 29 | ₹1,304 | - | ₹7,53,125 |
| ₹56,250 | ₹236 | 238 | 37 | ₹1,505 | ₹2,177 | ₹9,71,268 |
| ₹75,000 | ₹250 | 300 | 45 | ₹1,667 | ₹2,456 | ₹11.6L |
| ₹1,12,500 | ₹271 | 415 | 58 | ₹1,924 | ₹2,781 | ₹15.0L |
| ₹1,50,000 | ₹288 | 522 | 70 | ₹2,130 | ₹3,138 | ₹17.9L |
| ₹2,25,000stop here | ₹312 | 721 | 92 | ₹2,458 | ₹3,554 | ₹22.9L |
The blended cost per customer averages your cheapest early leads with the expensive ones you are buying now, so it stays respectable long after new spend has stopped paying. Marginal cost is what the next slice of budget pays per extra customer - and it climbs on two fronts, dearer leads and worse leads. Here it passes your ₹27,500 per-customer ceiling after ₹2,25,000 a month. That is the point to stop adding budget and fix lead quality or close rate instead.
Break-even CPL = profit per customer x lead-to-sale rate
Profit per customer is the deal value minus what it costs to deliver the work and to close the sale - not the deal value itself, which is the flattering number most lead value calculations are built on. The lead-to-sale rate multiplies your real-lead rate and your close rate, so junk leads are priced in rather than ignored.
Profit = customers x profit per customer - ad spend
Customers are what leads become after two filters: the share that are genuine prospects, then the share of those you close. First-deal and 12-month views are kept separate on purpose - blending lifetime value into the ceiling without saying so is how agencies justify lead costs their clients cannot cash-flow.
The calculator works on estimates. A free audit call walks through your actual cost per lead, lead quality, wasted spend and where scaling stops paying, straight from your Google Ads account. No pitch, no pressure.
The cost per acquisition at which a new customer makes you exactly nothing. For lead generation it comes in three sizes: break-even cost per raw lead, per qualified lead, and per customer. All three are the same profit figure seen through different stages of the funnel - profit per customer, times the share of leads that reach that stage.
Profit per customer multiplied by your lead-to-sale rate. Profit per customer is the deal value minus delivery and sales costs, and the lead-to-sale rate is the share of raw leads that are genuine prospects multiplied by the share of those you close. A $3,000 deal keeping 55% after costs, with 60% real leads and a 25% close rate, gives $1,650 x 15% = about $247 per lead.
Because that prices leads off revenue, not profit. It ignores what it costs to deliver the work and to close the sale, which typically overstates what a lead is worth by 40 to 50%. Bidding to the revenue-based number is the most common way a lead gen account stays busy while losing money - the calendar fills up and the bank balance falls.
Because junk is a cost, not an annoyance. Spam, job seekers, wrong numbers and out-of-area enquiries all count as conversions on the platform, so the CPL Google reports understates what a genuine prospect costs. At 60% real leads, every qualified prospect costs 1.67 times the reported CPL. Separating the junk rate from the close rate also shows which lever to pull - form and call screening fixes one, sales process fixes the other.
Start with the first deal. It is the cash-honest ceiling: below it every customer pays for themselves immediately. Counting 12-month repeat revenue lifts the ceiling, and the calculator shows that as a separate, clearly labelled basis - but between the two numbers you lose money on every first sale and recover it over months. That is a legitimate strategy with cash reserves and reliable retention, and a fast way to run out of money without them.
Whichever matches the conversion Google is bidding on. If your conversion action is the lead - a form fill or a call - use the cost per lead figure, ideally below break-even so there is profit left. If you import closed deals as offline conversions and bid on those, use the cost per customer ceiling instead. Mixing the two units is a common and expensive mistake.
It is a scenario, not a forecast. The CPL rise and lead-quality decay are assumptions you set, not figures derived from your account. Real diminishing-returns modelling needs historical spend data. Use the projection to understand the shape of the problem - marginal cost per customer climbs on two fronts at once - then validate against what happened the last time you raised budgets.
Use our break-even ROAS calculator instead - it is built for e-commerce unit economics, with shipping, payment fees, discounts and returns modelled properly, and it works in ROAS terms which is how e-commerce accounts are actually managed. This tool is for businesses whose ads generate leads that a human then closes.