Ad Profit MapAdvertising economics diagnostic · ALTO ROI

Free · 7–10 minutes · no signup

Find where your ads are leaking profit

Ad Profit Map turns your margin, funnel and ad history into a management decision: what to scale, what to repair, and which metric creates the highest financial upside.

Not an auction forecast and not generated advice. Every conclusion is tied to your numbers and a testable condition.

Sample diagnostic outputRepair first
Target CAC$300while preserving 50% of margin
#1 lever+5 pp contact rate
Launch conditionconversion ≥ 8.4%
Calculated in your browserFinancial inputs are not sent to a server
No invented benchmarksThe model uses your business economics
From lead to profitQuality, sales, CAC and contribution all matter

A result you can act on

Not another calculator. A decision-grade diagnostic map.

It goes beyond four metrics. The service exposes the causal chain and turns it into a testable operating plan.

01

A conditional verdict

Scale, test, repair the system first, or do not launch — with the reason.

02

Profit leakage map

See where the largest number of potential customers disappears across 1,000 incoming leads.

03

Leverage ranking

Learn what is worth more in your model: 15% lower CPL or a 5 pp gain at a specific funnel stage.

04

Reverse economics

See what conversion rate must be true for your current CPL to preserve target profit.

05

Cost of poor qualification

Estimate how much media spend is attached to leads that never pass qualification.

06

Test plan and guardrails

Minimum evidence, budget range and the conditions that should block scaling.

Before you calculate

Choose the offer and area you want to test

Compare services by contribution, travel and available capacity. The guide includes an ARS example and an editable brief for your first test.

Which service should you advertise first?

Why this is not just asking ChatGPT

The answer cannot exist without your numbers — and every conclusion is auditable.

Instead of generic prose, you get a deterministic model: the same economics produce the same result, formulas are visible and assumptions are named.

Cause → money

Every recommendation names the triggering metric and the financial boundary it affects.

Alternative comparison

The model calculates several improvements on the same budget instead of listing ideas.

Honest uncertainty

Confidence is separate from how attractive the result looks; an assumption is never presented as fact.

Built for a decision

The result reads like a short memo for an owner or growth team and can be saved as PDF.

Who it is for

For businesses that want to manage paid acquisition through economics.

Especially useful when

  • you are about to launch or scale Meta Ads
  • leads exist but profitability is unclear
  • marketing and sales disagree about lead quality
  • you need to justify a budget to an owner
  • you need to choose the first funnel stage to improve

It does not replace

  • live auction data
  • market and competitor research
  • a media plan with guaranteed CPL
  • financial accounting or full CRM analytics

How the map is built

Five input blocks. One management decision.

01

01 · Business

Country, niche, offer, sales cycle and prior advertising.

02

02 · Economics

Revenue, variable costs and the margin ads must leave untouched.

03

03 · Funnel

Overall conversion or every stage from contact and qualification to sale.

04

04 · Advertising

Actual spend, leads, sales, revenue, response time and measurement maturity.

05

05 · Goal

Desired customers, available budget and operational readiness.

FAQ

What to know before you calculate

Does it predict the real CPL in Meta Ads?+

No. It calculates the maximum viable CPL from your economics. The actual price only exists in the auction and must be tested.

Where do the non-generic recommendations come from?+

From comparative modeling. The service recalculates the same budget after changing each funnel stage and ranks actions by potential financial effect.

Can I use it without ad history?+

Yes. You will get economic limits and a test design, but confidence remains lower until actual data is collected.

Are my numbers stored on a server?+

No. Calculation and draft autosave run in your browser. Expert contact opens only when you choose it.

Why can a cheap lead be bad?+

Because a business buys customers, not leads. Weak qualification, contact or closing can turn a low CPL into an unprofitable CAC.

Start with truth in the numbers

See what must change before the next budget increase.

Complete the diagnostic once and get a map you can review with marketing, sales or the business owner.

Start the free diagnostic