Revenue Architecture

Your advertising built a $200 million company. Imagine what happens when you connect it to real data.

You're spending millions on advertising with no customer database connecting any of it. Every dollar is less efficient than it should be. Every campaign starts from zero. And every year, the cost of reaching the same customers goes up.

See If This Applies to Your Business

30 minutes. No pitch. Just the numbers for your business.

The Pattern We See in Every $100M+ Company

Five vendors. Zero connected data. Sound familiar?

You have a Google Ads team. A Meta team. An SEO vendor. Maybe a CRM nobody updates. And an email platform collecting dust.

None of them talk to each other. None of them know who your customers are. And none of them can tell you which dollar actually produced a customer and which one was wasted.

Meanwhile, you're paying Google to advertise to people who are already your customers. You're losing customers and nobody notices until the revenue dips. And every year, the cost of reaching new customers goes up 15–20%.

This isn't a marketing problem. It's an infrastructure problem. And it has a specific solution.

97%
of your website visitors leave without being identified
15–20%
annual increase in cost-per-click across Google and Meta
$0
spent filtering out existing customers from acquisition ads
0
automated follow-ups running after someone visits your website
The Five Value Levers

Five measurable ways we put money in your pocket.

Not five services. Not five platforms. Five financial outcomes from one connected system. Here's what they look like for a $200M company.

1
Reach the Right Customers
Right now, your ads reach everyone. Some of those people will never buy from you. We build a database of who your real customers are, then tell Google and every other platform: find us more people exactly like these. Same budget. Better results. More accounts.
Conservative
$6M
Mid-Case
$11M
Optimal
$16M
3–8% revenue uplift from data-driven precision targeting (industry benchmark: McKinsey, BCG, Forrester)
2
Lose Fewer Customers
When a good customer stops buying, nobody knows until the revenue shows up missing three months later. We build early warning signals — the system detects declining purchase patterns and triggers proactive outreach before the customer is gone.
Conservative
$1M
Mid-Case
$2M
Optimal
$5M
5–15% reduction in annual customer attrition
3
Stop Wasting Ad Dollars
You're paying Google to show ads to people who are already your customers. They were going to come back anyway. We identify them, exclude them from acquisition campaigns, and redirect that money toward people who've never heard of you. Same budget. More new business.
Conservative
$400K
Mid-Case
$2M
Optimal
$4M
15–30% waste reduction. Scales dramatically as ad spend increases.
4
Get Customers to Buy More Often
Once someone buys, there's no system to get them to buy again, buy something different, or buy more frequently. No email. No loyalty program. No automated follow-up. We build that system. Repeat purchases. Higher lifetime value. Longer relationships.
Conservative
$1M
Mid-Case
$3M
Optimal
$8M
10–25% improvement in customer lifetime value through lifecycle programs
5
Close Deals Faster
Someone visits your website three times in a week and prices a $40,000 job on your estimator. Right now, nobody on your team knows it happened. We make those people visible — and put them in front of your sales team before they call your competitor.
Conservative
$2M
Mid-Case
$3M
Optimal
$4M
1–2% revenue uplift from sales cycle compression
Year 1 Total Value Created
From a $480K annual investment
$10.4M – $37M
✓
These aren't theoretical levers. They've been deployed.
At a large national retailer, the same five-lever infrastructure replaced an 11-day signal-to-impression lag with real-time activation, built 1,200+ purchase-based micro-segments from raw transaction data, and eliminated manual audience CSV builds entirely. At a national bank, the architecture produced $280M in Year 1 impact across mortgage capture, wealth retention, and cross-sell — from infrastructure that cost a fraction of what the bank was already spending on disconnected platforms that weren't talking to each other.
See the full case studies →
Every number on this page is based on industry data for a $200M B2B company. Give us your real numbers and we'll recalculate on the spot. Your revenue, your ad spend, your churn rate. The projections get more precise — and usually get bigger — when we use your actuals instead of benchmarks.
Your Team

Built by the operator who did this at Walmart, Kroger, AbbVie, and Bank of America.

Ethan Mercer spent the first half of his career building data-driven revenue infrastructure for Fortune 500 companies. $50M+ per month in managed advertising spend. 1,200+ audience micro-segments. Salesforce CDP certified. Six enterprise deployments that produced measurable, auditable revenue impact.

Now he builds the same systems for companies where it actually changes the trajectory of the business — not Fortune 500 companies that don't need it, but $100M–$2B companies where every dollar matters.

$50M+
per month in managed advertising spend
1,200+
audience micro-segments from real customer data
6
Fortune 500 deployments
National Big-Box Retailer
National Grocery Chain
Global Pharmaceutical Brand
Top 5 U.S. Bank
National Home Improvement Retailer
The numbers are the "is it worth it?" half. Ethan's track record is the "will it actually happen?" half.
Deployed Result

A national outdoor e-commerce brand with 12 million loyalty members and $2B+ in revenue was losing the pre-season buying window every year because their CDP was running on nightly batch. After deploying the Revenue Architecture's real-time signal detection, seasonal GMV capture improved from 61% to 79% of the addressable window — a $54.6 million gross margin improvement from timing alone.

Value Levers: Reach the Right Customers (#1), Lose Fewer Customers (#2), Close Deals Faster (#5)
The Investment

Enterprise methodology. Mid-market pricing.

Publicis charges $1.5M–$1.8M per year. McKinsey charges $3M–$5M per engagement. They deploy the same type of infrastructure we build. The Revenue Architecture starts at $40K per month. Same methodology. Same systems. Fraction of the cost. And you own everything we build.

Big 4 Consultancy
$3M–$5M/yr
Strategy deck. No execution. No ongoing optimization.
Enterprise Ad Network
$1.5M–$1.8M/yr
Platform lock-in. You rent their system. They own the data.
Revenue Architecture
$480K–$960K/yr
Full deployment. Full optimization. You own everything.
Why the Numbers Grow

The system gets smarter every year. The numbers follow.

Year 1 is the build period. By Year 2, there's no build cost — only optimization. The customer database gets deeper, audiences sharpen, and the five levers accelerate each other.

Y1
1.0x
Build + ramp
Y2
1.5x
Optimizing
Y3
1.8x
Full maturity
Y4
2.0x
Compound returns
Y5
2.2x
Full compound

The system gets smarter because the data gets deeper. Year 1 data is new and raw. Year 3 data predicts buying behavior. That's not spin — it's how data-driven targeting fundamentally works.

Worth a quick conversation if any of that sounds familiar.

30 minutes. Ethan will pull your numbers, run them through the five-lever model, and show you what the math looks like for your specific business. If it doesn't apply, he'll tell you.

Book a 30-Minute Conversation with Ethan

Or email ethan@digitalvisibilityconcepts.com directly.

No commitment Just the math for your business You own everything we build
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