Marketing

Your AI chat prompt is just step 1.

Activate the attribution
layer your marketing team is missing.

Because a campaign that looks like it's working and a campaign that's actually driving revenue can look identical on a dashboard.

See the data ↓

10 years in business. All work guaranteed.

Where you are today

Your campaigns hit their engagement numbers every month.
Now what?

By now, most marketing teams have the reporting cadence down: impressions, clicks, MQLs, all present and accounted for. That was never really the question.

Say you're the CMO. The CEO wants to know which campaigns actually drove the quarter's revenue. Your dashboard shows plenty of engagement, but connecting any of it to a closed deal means exporting three platforms into a spreadsheet and guessing at the overlap.

Every attempt starts the same way: stitching together ad platform data, CRM data, and finance data that were never built to reconcile.

Which means you're not reporting on what drove revenue. You're reporting on what's easiest to measure.

And a report built on easy-to-measure metrics is already disconnected from the number the CEO actually asked about.

By the time real attribution comes together, next quarter's budget is already set, on last quarter's guesswork.

The Evidence

Why let unproven spend drain marketing capacity?

Gartner research found 72% of marketing leaders say they cannot adequately prove the impact of their marketing spend on business outcomes. That's not a reporting gap. It's a revenue-defense gap.

Slide to see where your attribution lands against the benchmark.

Your budget today

35 % of budget you can directly tie to revenue
10% 90%

Average pace

0

Percentage points below top-attribution organizations

0

Annual marketing budget you can't directly tie to revenue

0

Months of spend that's effectively unproven

Based on Gartner research: 72% of marketing leaders cannot adequately prove the impact of their marketing spend on business outcomes. Dollar estimate assumes a $3M annual marketing budget, typical for a mid-market company.

This isn't just a measurement problem. Every percentage point you can't attribute is budget you have to defend on faith instead of evidence, and that gap is exactly what separates a marketing team that reports activity from one that proves revenue.

The Shift

More dashboards won't fix this.
The attribution feeding them will.

Here's the shift that actually closes the gap:

From

Reporting built on platform-siloed engagement metrics
Point tools that measure activity faster, not revenue better
Attribution logic locked in whoever built last quarter's spreadsheet
→

To

Reporting built on unified, revenue-connected data
Integrated intelligence that ties spend to closed revenue, not just clicks
Attribution logic that holds regardless of who owns the dashboard

Which side of this shift are you on?

Share your work email and we'll show you what closing this gap looks like for your marketing team.

The Real Question

What's the right path for you?

Why Augusto

Why Marketing Intelligence matters to us.

Video placeholder: CEO talk track on Marketing Intelligence, approximately 45 seconds

If a past AI effort didn't stick, that's not a reason to wait. It's usually a sign no one diagnosed the right starting point first.

Our edge isn't more automation. It's activating the human advantages AI can't replace. Practically, that means we diagnose before we build, never the other way around.

Put AI to work for your people.

Next Step

Start with a Rumble, not a guess.

The Rumble is a fixed-price engagement that generates an AI activation roadmap, then tells you whether you need Guidance, Execution, or both.

Single Core Function

$10,000

Pinpoint one Intelligence domain and roadmap where to activate AI first.

Recommended

Business-Wide Diagnosis

$25,000

A full cross-functional view, prioritized by impact.

Coming out of the Rumble, you'll know exactly which comes next:

Case Study

[Client Name]

[One or two sentence summary of the client's challenge and how Marketing Intelligence solved it.]

Let's Define Your Scope  →
The Solution

Marketing Intelligence

An AI system that connects fragmented campaign data into a single, structured source of truth: verified, current, and tied all the way through to closed revenue. Marketing knowledge becomes infrastructure. Measured. Attributed. Trusted.

Revenue-connected attribution

Every campaign ties back to closed revenue automatically, drawn from marketing, sales, and finance data that finally talk to each other.

The ProblemEndless cross-platform exporting. Countless reports that stop at engagement instead of revenue.

Automated budget defense

Spend-to-revenue answers are ready before the CEO asks, no scramble, no guessing at overlap.

The ProblemEndless last-minute reporting scrambles. Countless budget conversations won on confidence instead of proof.

Institutional campaign memory

Every campaign's real performance stays captured and searchable, so what worked keeps informing what's next, even after the person who ran it moves on.

The ProblemEndless campaign knowledge lost to turnover. Countless budgets re-testing what already failed once.

Where This Leads

Every function you activate compounds this growth.

The fragmented-data problem on this page isn't unique to Marketing. It shows up everywhere else in your business, and costs growth in each one. Explore where AI activation moves you forward next.

Ready to put AI to work for your people?

Let's get started!