REVENUE ANALYTICS

SEE WHAT IS MAKING YOU MONEY,
AND WHAT IS NOT.

insight from the data you already have, every month

Your ads, your CRM, your calendar, and your sales calls already hold the answer. Nobody has the week it takes to read them. We do, every month, and we tell you what to do about it.

THE PROBLEM

THIS IS WHAT IT LOOKS LIKE FROM THE INSIDE

You are kind of blind. The data is all over the place, so half the time you do not trust it, and the other half nobody has time to look.

Someone asks whether you are losing people at the price reveal or somewhere after it. The honest answer is a feeling.

The dashboard exists. Clicking on the number does not tell you why it moved, and the person who could explain it is in a different department.

Budget moves every quarter based on the report that happened to be in the room, and nobody is sure the report was right.

None of that is a talent problem. It is a reading problem: the numbers are there, and nobody owns reading them.

01

The data is all over the place, so nobody fully trusts it.

02

You know you are losing people somewhere. You cannot prove where.

03

The number moved and nobody can say why.

04

Budget decisions get made on the report that happened to be in the room.

THE FIX, DRAWN OUT

THE SAME DATA, READ EVERY MONTH BY SOMEONE WHO OWNS IT

We connect to what you already run: ad platforms, CRM, booking, sales calls, payments. No new tool to adopt, no migration.

Every month you get the read: what made money, what lost it, what changed and why, and the three things to do next. Written for the person who runs the meeting, not the one who built the pipeline.

It compounds. The second month we know your baseline. By the sixth we know your seasonality, your best channel by margin, and the leak that shows up every time a definition changes.

WHAT WE DELIVER

FIVE THINGS YOU GET

THE MONTHLY READ

What made money, what lost it, what changed and why, and the three things to do next. One page, in plain language.

THE QUESTIONS ANSWERED

The specific questions your team keeps asking: where do we lose people, which channel is worth scaling, what did that change actually do.

THE MODEL

One definition of a lead, a qualified lead, and a sale, agreed once and applied everywhere, so this month’s number means the same thing as last month’s.

THE ALERT

When something moves that should not, you hear it from us before the month ends, not from the quarterly deck.

THE WALKTHROUGH

A monthly call to go through the read with the people who decide, so the recommendation turns into a decision in the same meeting.

PROOF

ALREADY RUNNING

Sanitized screenshot of the multi-touch attribution dashboardADEMAILWEBINARORGANICPURCHASELAST TOUCH vs FULL PATH
COACHING COMPANY

Their platform said the campaign was mediocre. The verified numbers said it paid for itself 3.6 times over.

Their reporting credited the last click, so the campaign that opened the relationship looked mediocre. We rebuilt attribution across the whole path, from first touch to purchase, and the budget moved. The same rebuild caught a report counting organic visitors as paid conversions: 5.0% where the verified number was 2.2%.

5.0% vs 2.2%
REPORTED VS VERIFIED CONVERSION RATE ON ONE LIVE ACCOUNT

A report was counting organic visitors as paid conversions. Reading the numbers against the raw data caught it.

HOW IT STARTS

THE BLUEPRINT CALL

FIRST STEP · BLUEPRINT CALL

Thirty minutes with Eduardo. Bring the question you cannot answer today. You leave knowing what data you already have that answers it, what is missing, and what the monthly read would cover, at a fixed monthly price, before you commit.

FIXED PRICE · CREDITED TOWARD THE BUILD
QUESTIONS

ANALYTICS, SPECIFICALLY

We already have dashboards. Why would we need this?

A dashboard shows you the number. This tells you why it moved and what to do about it. Most clients keep their dashboards and add the reading on top.

Do we need to build anything first?

Usually not. If the tracking underneath is broken, we tell you on the first read, and fixing it becomes the first recommendation rather than a precondition.

Is this AI reading our data?

AI does the heavy lifting on the raw data. A person who knows your business reads the result, checks it, and writes the recommendation. You never get a chart with no one behind it.

What does it cost?

A monthly fee, set on the call, based on how many sources we connect and how often you need the read.

YOU HAVE THE DATA. YOU NEED THE READ.

Find out what your numbers have been trying to tell you.

Bring the question you cannot answer today and leave knowing whether your data can already answer it. On one account, reading the numbers found a campaign worth 3.6× what its report credited. Thirty minutes, no pitch deck.

No 20 minute forms. Three questions, then pick a time.