GTM Assurance

Revenue-Reporting Integrity Audit

Verifying whether the numbers your MarTech stack reports upward are actually real.

If the board asked you to defend last quarter's attribution numbers line by line, would they hold?

Research from Adverity found that 34% of CMOs don't trust their own marketing data. Most of that distrust never gets said out loud in a board meeting, the numbers just get reported anyway.

This audit is the check that usually never happens: verifying whether the MarTech and attribution stack behind a reported number is actually producing something real, not a plausible-looking number nobody has ever traced end to end.

How This Works

Here's What This Actually Looks Like

Tracing a reported number, a channel's ROI, a campaign's attribution, a pipeline figure, back through the stack that produced it, step by step.
Flagging where the tracking, attribution model, or reporting logic is quietly inflating or understating the real result.
A plain list of what's trustworthy as reported, and what needs a caveat or a fix before it goes upward again.
Done alongside your existing marketing and RevOps team, not as a replacement for them.

I've built and run the marketing functions these kinds of numbers come from, at Prakhar Software Solutions, PCG DigiVerse, and earlier roles, reporting revenue and pipeline, not impressions or activity, as the standard I hold my own work to. This audit applies that same standard to someone else's stack.

It's a reporting-integrity check, not a MarTech implementation project. I'll tell you exactly where the gap is; fixing the tooling itself, if that's what's needed, is a separate scope.

Good fit if:

numbers are getting reported upward that nobody has actually traced end to end, and you want to know before a board, investor, or acquirer asks the question you can't answer.

Not a fit if:

you need a MarTech stack or attribution model built from scratch. That's closer to my GTM Consulting service.

Frequently Asked

FAQs: Revenue-Reporting Integrity Audit

What exactly do you check?

Whether a specific reported number, attribution, ROI, pipeline, actually traces back cleanly through the stack that produced it, or whether something along the way is inflating or understating it.

What usually triggers this kind of audit?

Most often, numbers reported upward don't match what the team on the ground actually sees, or a raise, board update, or deal is coming up and the numbers need to hold under scrutiny.

Will this disrupt our current reporting?

No, it runs alongside what you already have. You keep reporting as normal while the check happens.

What do I receive?

A written list of which numbers are trustworthy as reported, and which need a caveat or a fix, with the specific gap named for each.

Do you fix the MarTech stack itself?

Not as part of this audit. I'll tell you exactly what's broken; fixing the tooling is a separate, scoped piece of work if you want it.

How is this different from GTM Due Diligence for Investors?

That's a one-time, pre-deal check on someone else's numbers for a fund or acquirer. This is an ongoing-business check on your own reporting, whenever you need the confidence.

See General FAQs

Worth Knowing

“34% of CMOs say they don't trust their own marketing data.”

Most of that distrust never gets said out loud in a board meeting. The number just gets reported anyway.

Source: Adverity, 2022 research

Get In Touch

Book a Free Discovery Call

Thirty minutes, no pitch.

Pick a slot that works for you. You'll get a confirmation with the Google Meet link straight away.

Book a Free Discovery Call

Choose a Time

Prefer to Write First?

higaurav@gauravbhattnagar.com

Revenue-Reporting Integrity Audit

Here's What This Actually Looks Like

Good fit if:

Not a fit if:

FAQs: Revenue-Reporting Integrity Audit

Book a Free Discovery Call

Thirty minutes, no pitch.

Book a Free Discovery Call

Prefer to Write First?

Gaurav Bhatnagar

Quick Links

Revenue-Reporting Integrity Audit

Here's What This Actually Looks Like

Good fit if:

Not a fit if:

FAQs: Revenue-Reporting Integrity Audit

Book a Free Discovery Call

Thirty minutes, no pitch.

Book a Free Discovery Call

Prefer to Write First?

Gaurav Bhatnagar

Quick Links

The Silent Noise