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Carlos Redlich
How I Think

Business Economics

Cheap Leads Can Be Very Expensive. Here's the Math Nobody Wants to Talk About.

October 23, 2026

There's something funny about marketing reports.

You can show someone a chart where the cost per lead dropped by 50%, and suddenly everybody's celebrating.

High-fives all around.

Somebody starts talking about scaling.

The agency puts together a presentation.

Maybe there are fireworks.

But here's the question I'd ask before popping the champagne.

Did those cheaper leads actually turn into more profitable customers?

Because if they didn't, we've potentially just found a more efficient way to waste money.

Let's Look at Two Campaigns

Imagine a business selling a $4,000 service.

For this hypothetical example, each customer generates $2,000 in contribution before advertising costs, after accounting for the variable costs of delivering the service.

We're comparing two campaigns.

Both spend $4,000.

Campaign A: The Cheap Leads

Ad spend: $4,000

Cost per lead: $20

Total leads: 200

Appointments booked: 5

Appointments attended: 4

Customers acquired: 1

Revenue generated: $4,000

Contribution before advertising: $2,000

Contribution after advertising: -$2,000

Now let's look at Campaign B.

Campaign B: The Expensive Leads

Ad spend: $4,000

Cost per lead: $80

Total leads: 50

Appointments booked: 15

Appointments attended: 12

Customers acquired: 3

Revenue generated: $12,000

Contribution before advertising: $6,000

Contribution after advertising: +$2,000

These numbers are illustrative, not actual campaign results. They also exclude fixed overhead and assume the same accounting period and per-customer contribution.

But they demonstrate something important.

Campaign A generated four times as many leads.

The cost per lead was dramatically lower.

And it still produced a worse financial result.

Campaign B looked more expensive if you only watched the cost per lead.

But it acquired more customers from the same advertising budget.

That's why I don't like making marketing decisions based on isolated metrics.

The Number Behind the Number

Let's calculate the customer acquisition cost.

Campaign A spent $4,000 and acquired one customer.

Customer acquisition cost: $4,000.

Campaign B spent $4,000 and acquired three customers.

Customer acquisition cost: approximately $1,333.

Suddenly, the supposedly expensive leads don't look so expensive.

In fact, they're much more attractive in this example.

Why?

Because they convert into paying customers at a substantially higher rate.

Now, we still need to consider customer quality, refunds, delivery costs, payment timing, and longer-term value.

But that's exactly the point.

The economic result is what matters.

Not whether one number in the advertising dashboard looks impressive.

Why Cheap Leads Sometimes Perform Worse

There are several reasons a campaign can generate lots of inexpensive leads without generating profitable sales.

Maybe the hook attracts people who are curious but not serious.

Maybe the offer appeals to bargain hunters who were never likely to buy the core product.

Maybe the form is so easy to complete that people submit it without understanding what happens next.

Maybe the advertising is reaching the wrong audience.

Or maybe the sales team is struggling to convert otherwise qualified leads.

You can't determine the cause from cost per lead alone.

You have to follow the leads through the rest of the system.

That's why I like connecting ad data with CRM and sales data whenever possible.

The platform tells you what happened before the lead.

The CRM helps tell you what happened afterward.

Without that connection, you're making decisions with half the information.

Front-End Funnels Make the Economics Even More Interesting

During my involvement with Passive Prospecting, one of the important ideas behind the marketing model was using front-end offers to help offset acquisition costs.

That can be a powerful strategy.

Instead of paying to acquire a lead and receiving no immediate revenue, a business can introduce a lower-priced product that gives the customer something useful.

For example, a book.

A workshop.

A training program.

Or an introductory digital product.

If the economics work, some of that initial purchase revenue can help offset advertising costs.

And the customer may later choose to purchase a more comprehensive product or service.

But here's where businesses need to be careful.

It's easy to get excited about a front-end funnel that appears to break even on advertising.

You still need to account for payment processing, refunds, fulfillment, customer support, and the timing of revenue.

And you can't assume every front-end buyer will eventually purchase the backend offer.

You need actual cohort data.

Otherwise, you're just making optimistic predictions with a spreadsheet.

Which, to be fair, is a surprisingly popular business model.

The Dashboard I'd Rather See

If I were evaluating a paid acquisition campaign, I'd want visibility into the entire customer journey.

I'd track:

  • Advertising spend
  • Cost per lead
  • Lead qualification rate
  • Cost per qualified appointment
  • Appointment show rate
  • Sales close rate
  • Customer acquisition cost
  • Revenue per acquired customer
  • Contribution margin
  • Refunds and cancellations
  • Customer lifetime value, when supported by reliable data
  • Payback period

Not every business needs all these numbers on day one.

And some metrics won't be available without properly connecting the advertising, CRM, payment, and customer systems.

But the closer we can get to understanding real customer economics, the better our decisions become.

A Final Point About Scaling

Let's say a campaign is profitable at $200 a day.

Does that mean it will remain equally profitable at $2,000 a day?

Not necessarily.

As spend increases, you may reach different audiences, face different auction conditions, or exhaust your strongest creative.

Lead quality and conversion rates can change.

That's why scaling requires monitoring the entire funnel.

Not just increasing the budget and assuming the math stays the same.

A profitable campaign should earn the right to scale through evidence.

The Bottom Line

I don't care whether your leads cost $10, $50, or $200.

At least not until I understand what those leads are worth.

If your $200 leads consistently turn into profitable customers, we should have a serious conversation about getting more of them.

And if your $10 leads never buy anything, we should probably stop celebrating how cheap they are.

The goal isn't to acquire the cheapest leads. It's to acquire customers at economics that make the business healthier.

That's the number worth optimizing.

— Carlos Redlich

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