Who promised the $60 lead?

Cascader

The people, dialogue and account below are constructed. The numbers are illustrative, not industry benchmarks.

On the third Friday, Maya asked Leah to put the proposal beside the weekly report.

The proposal said $60 per lead. The report said $60 per lead. This should have been a pleasantly short meeting.

“Then why are we still paying too much for customers?” Maya asked.

Leah was the agency’s paid-search operator. Sam, who had sold the work, stopped reaching for his coffee.

Three weeks earlier, $60 had been a much friendlier number.

Maya ran a window-cleaning business. She could put another crew on the road, but she needed enough new recurring customers to keep it there. A nearly empty Tuesday was expensive even when everyone had arrived on time.

She had worked out what she could afford to acquire a customer: $300 in advertising spend. Agency fees were a separate line in her business plan. Her recent records showed that roughly one in five legitimate new inquiries became a customer. Five inquiries at $60 would use the $300 allowance.

“Can you get us leads at sixty?” she had asked Sam.

He understood why she wanted an answer. She was deciding whether to commit money, not inviting him to admire the unknowability of auctions.

Sam had brought a worksheet built from search-cost estimates and assumptions drawn from the agency’s other work. It imagined 100 clicks costing $600–$760 and producing ten inquiry records. Two would be duplicates or people outside the service area or asking for something the business did not sell. That left eight distinct people in the area wanting window cleaning: $75–$95 each.

Those were assumptions about a campaign they had not run. Sam saw room to improve the booking page, but he did not know how much it would help. Maya’s office manager was copying messages between an inbox and a scheduling system; people sometimes waited until the next day for an estimate.

“I think sixty is workable,” he said. “There’s room in the conversion rate.”

He meant that $60 looked like a destination worth pursuing. Maya heard that the agency had assessed the route and expected to arrive.

Neither interpretation was silly. They were different decisions.

Sam wanted to make a proposal Maya could buy. Maya wanted to know whether buying it would help her employ another crew. The difference between $60 and $90 was not a tolerable rounding error: at her assumed close rate, it was the difference between $300 and $450 in advertising spend for a customer.

The estimate’s range stayed in Sam’s worksheet. The proposal received a neat line: “Target CPL: $60.” They agreed on a $6,000 monthly media budget.

By the time Leah opened the account plan, the number had acquired a job title.

She checked the tracking, reviewed the service area, rewrote ads and asked for a shorter booking form. She knew she could not order a $60 lead from the search market. But “target” was familiar language. It meant something to work toward. She put it in the reporting template.

Nobody had written down whose inquiries the target counted, when the result was expected, or what would happen if the campaign could not support the business at that cost.

The number travelled well. Its luggage did not.

By the third Friday, the campaign had spent $3,600 and recorded 60 inquiries. The reporting template divided one by the other and turned the result green.

Maya opened her office manager’s list. Some entries were duplicates. Some people wanted a service the company did not offer; others lived outside its area. A few were looking for work. Fifteen entries, in all, were not distinct prospective customers the business could serve.

That left 45. Leah checked the entries with her, keeping unanswered but otherwise eligible inquiries in the count; a missed callback was not permission to erase a lead.

“So it’s eighty,” Maya said.

$3,600 divided by 45: $80 per eligible inquiry. The same spend had bought both numbers. Only one denominator resembled the inquiries behind Maya’s original one-in-five assumption.

Six of the 45 had become customers so far. Some quotes were still open. Maya could see the invoices already paid; Leah could see why a final acquisition cost would have to wait for those inquiries to finish moving through sales.

“I can’t call the whole thing a failure yet,” Leah said. “But I can’t call sixty achieved either.”

Maya turned to Sam. “What was the sixty in the proposal?”

“The target.”

“Yes. Was it what I needed, what you expected, or what you were promising?”

There was no useful answer hiding in the word target.

Sam opened his worksheet. Maya found the ten inquiry records, then the two he had allowed for duplicates and people the business could not serve.

“The eight left over are the people we can actually sell to?”

“Yes.”

Leah wrote the campaign’s totals in the margin: 60 recorded inquiries, then 45 after the actual exclusions.

“So the eighty we paid is inside your seventy-five to ninety-five,” Maya said. “Sixty was better than your estimate.”

“Yes,” Sam said. “I thought we could improve on it. This whole worksheet should have been in front of you. I let what we wanted to reach sound like what you could expect.”

Leah had her own sentence to contribute.

“I accepted the number without asking what you’d agreed. And my report made the wrong sixty look like success.”

Putting sixty in a bidding field would not repair that: Target CPA pursues a desired average, with actual results affected by factors outside Google’s control. Our guide to how a Google Ads target works explains why a number in that field is an input to bidding, not a promise, and why it means something only beside what the business can afford and what the campaign has achieved.

“Even if the field says sixty,” Leah said, “we still have to say what it counts.”

They could have spent the rest of the meeting finding the most defensible meaning of the proposal. It would not have put customers on Tuesday’s route.

Maya asked Leah to stop further advertising spend while they reconciled the account. They had used $3,600 of the agreed $6,000 monthly budget. The remaining $2,400 was money Maya could still choose how to use, not money the agency was entitled to spend because the month had begun.

Then she asked the harder question.

“If you can’t promise sixty, what can you offer me?”

Leah resisted the temptation to answer with a list of optimizations. Maya was asking what risk she would be buying.

They went back to the 45 names. For this engagement, an eligible inquiry would mean a distinct prospective customer, in the agreed area, requesting a service the company sold. Forms and calls from the same person would count once. Being slow to answer, losing a quote or disliking a small job would not retroactively make an eligible inquiry disappear. They would report all recorded inquiries as well, so the exclusions remained visible.

Leah could keep initial, offline-qualified and later converted leads distinct in Google Ads. The platform’s labels would not decide who Maya’s business could serve.

Maya’s office would mark appointments and sales against those names. The agency would reconcile them with its lead records. Leah would keep open quotes open instead of treating Friday as a universal sales deadline.

That gave $60 somewhere precise to live. It was the business’s required advertising cost per eligible inquiry, provided roughly one in five of those inquiries became a customer. At $60 with one sale in ten, the advertising acquisition cost would be $600. A green lead number could still accompany a business that was losing its room to grow.

Leah put $80 per eligible inquiry into the revised forecast. It counted the same kind of prospect as Sam’s $75–$95, but now they had this account’s 45 names and $3,600 spend to work from. Landing inside his range did not prove the assumptions behind it; one short run still left plenty uncertain. It certainly did not make the result $60.

Maya kept $60 beside it as the business requirement. Leah would not turn that requirement into a forecast Maya could use to book a new crew’s calendar.

The commitment took longer to say.

Leah would finish the agreed booking-page changes and concentrate the next test on the part of the service area producing eligible inquiries. She would show Maya both inquiry counts, the spend and the sales still unresolved. Sam would send a corrected plan and stay in the review meeting rather than leaving the operator to explain the sale alone.

Maya would authorize another $1,200 in media spend over no more than four weeks, with the campaign stopped at that cap even if the outcome remained uncertain. Her office would return lead dispositions twice a week. They would review before any further spend, including whether the resulting customers justified continuation. Nobody promised that this allowance would be enough to prove the channel could work.

“And if the number is still eighty?” she asked.

“We show you eighty,” Sam said. “And we don’t ask you to finance sixty indefinitely.”

Maya agreed to the smaller test. She postponed the additional crew.

At the review, the new $1,200 had produced 15 eligible inquiries: $80 again. The original 45 inquiries had now produced nine customers. That earlier group had closed at one in five, just as Maya had assumed. Its advertising acquisition cost was $400: $3,600 divided by nine.

The arithmetic did not vindicate the campaign. It clarified the miss. The agency had not met a viable customer-acquisition cost under the business’s stated allowance. The second group still had open quotes, but there was no established reason to promise that waiting would make the lead cost $60.

They kept the campaign stopped. Maya retained $1,200 of the original media allowance unspent and did not authorize another advertising month. Sam lost the continuation he had expected to sell. Leah delivered the reconciled records and closed the account’s test with the pending quotes clearly marked, so later sales could still update what the money had bought.

They had not rescued the proposal by renaming its target. They had reduced the amount of money it could spend while remaining wrong.

The next proposal Sam prepared still contained a cost-per-lead number. Beside it he put the expected range, the counted inquiry and the point at which spending would return to the client for a decision.

Maya had given him the question to ask before sending it.

“What kind of sixty are we agreeing to?”