AI-Enabled Marketing Operations

AI where it earns its place in your marketing.

We start with what's already working, then build AI into your marketing the way you'd build any operational system: tied to a specific outcome, measured against revenue, and handed to your team in a form they can run.

Tell us what's going on →See how it works ↓

$500M+ in client revenue impacted
16 years in business
95%+ client retention
10 years running St. Louis Small Business Monthly award

6x+

return on ad spend

Evidence / Industrial manufacturer

Leverage comes from a system that works, not from more volume.

A manufacturer's leads rose even as raw sessions fell, because the system underneath converted better. That is the principle behind how we deploy AI: measure what works first, then accelerate it.

Read the story →Talk to us about yours →

The sequence

AI on a broken system just produces broken output, faster.

First, the diagnostic

Before we automate anything, we find out what’s working in your marketing and what isn’t.

Then we build

Specific applications against specific, measured problems, each one instrumented so we know what it produced and what it cost.

Then we hand it off

Your team learns the tools, owns the workflows, and runs the operation. We stay close enough to adjust when the technology changes.

Most AI pitches either automate what you're doing today or sell you software against a problem nobody diagnosed. We don't sell either.

Where AI earns its place

Practical applications, measured in dollars.

Production

Content and campaigns

What your team produces by hand that AI can accelerate without degrading quality, and where AI-driven testing beats guessing.

Operations

Reporting

The hours your team spends pulling, reconciling, and formatting data that nobody reads twice.

Pipeline

Scoring and personalization

Where AI can prioritize leads better than rules, and where relevance is limited by labor rather than data.

What this produces

Each deployment aimed at a measured problem and tied back to revenue.

01 / The operation

An AI-augmented marketing operation

Specific capabilities deployed against specific problems, each with a measurable output.

02 / The ownership

A system your team owns

No black box. Fewer vendors, more output, and a team that’s more capable rather than more dependent on us.

03 / The proof

A clear line from AI to revenue

Every deployment is instrumented. If a tool isn’t producing, we stop. If it is, we double down.

AI changes fast, so this part of the roadmap gets revisited every quarter.

How it works

In three months, you'll have this.

Months 1 to 3

What fixing your marketing is worth in dollars, with the math shown. And a plan for which changes come first.

Customer Journey Map current state · gaps · suggested journeySample company

The opportunity, in dollars

Compounded, fixing the journey is worth +$2,193,430 a year, a 31% lift before a dollar of paid media.

Leads / yr900×1.12

Close rate22%×1.09

Avg job value$24,000×1.03

Repeat1.5×1.04

Revenue / yr$7,128,000→ $9,321,430

+$2,193,430added revenue / year

+$877,372added gross profit / year

The plan

Prioritized roadmap

Phase 1

Seafoam-ledTrack every lead to its source

First, because nothing after it can be measured without it.

Seafoam-ledClean up the CRM

One record per customer, so sales and marketing see the same thing.

Client-ledName three proof stories

You confirm which customers we can name.

Phase 2

Seafoam-ledRebuild the website around your best customer

Built on what the customer interviews found.

Seafoam-ledSearch and AI answer pages

So you show up when buyers ask Google or ChatGPT.

JointQuote follow-up within a day↳ needs CRM cleanup

4 in 10 quotes never get a second call today.

Seafoam-ledPaid search on your best-margin services↳ needs lead tracking

Widens volume only after tracking is fixed.

Phase 3

Seafoam-ledEmail to past customers

They hear from you twice a year today.

JointReferral program

We build the ask and the tracking. Your team makes the introductions.

Seafoam-ledAI for reporting and lead scoring↳ needs CRM cleanup

Once the data is clean enough to trust.

After that, you can check this any day.

Month 4 on · month to month

Our senior team carries out the plan, with no long-term contract. Your playbook shows what marketing brought in, what you spent, and where the money came from. Including what didn't work.

Tell us what's going on →

Marketing Strategy Playbook updates itselfSample company

01 · What it's earning

Money from marketing

This monthLast 90 daysThis yearLast 12 months

How much did marketing bring in, Aug 13 to Nov 10?

$452,000

▲ 22% vs $370,500 the same dates last year$452,000 from 19 new customers

Spent on ads$31,400

Back for every ad $1$2.92$91,600 in sales from ads

Where the new-customer money came from

Google searchfree results · 8 new customers

$212,400

▲ 31% Growing

Referralsword of mouth · 6 new customers

$148,000

Steady

Google Ads5 new customers · $24,800 spent · $3.69 back per $1

$91,600

▲ 18% Growing

LinkedIn Ads0 new customers · $6,600 spent · $0.00 back per $1

Nothing yet

What the numbers say: Google search brought the most new-customer money. LinkedIn Ads: $6,600 spent and no sales from it in these dates.

Is this for you?

Who this works for, and who it does not.

A good fit if

You know you’re behind on AI and don’t want to make the wrong bet catching up.
Your team already uses AI informally and nobody can tell you whether it’s helping.
You’re being pitched AI by vendors who can’t explain what it will produce.
You want more marketing output without more headcount.
You’ve watched competitors pull ahead and want a clear-eyed plan.

Not a fit if

You’re a startup looking for your first customers.
You already have a strategic CMO in the seat.
You want more social posts or a single campaign.
You’re choosing on price alone.

Questions

What people ask before they start.

Do I need to buy new AI tools?

Sometimes. Often, not as many as vendors would like you to think. A lot of the leverage we find is in using tools you already have more deliberately, or in pointing a small number of general-purpose AI capabilities at the right problems. The diagnostic tells us which tools are worth buying and which are noise.

Will AI replace our current marketing team?

No. It augments them. We use AI to eliminate the work that shouldn’t be eating your team’s time, so they can spend it on the judgment, relationships, and creative work AI can’t do. Teams that use AI well get more done with the same headcount.

Is there a long-term contract?

No. We believe in the work we do, which is why after the three-month diagnostic and strategy period, everything is month to month.