The model
Revenue Leak: the revenue you've already earned, but don't receive.
You're already paying for demand, through ads, organic reach, or word of mouth. But between the click and the payment, part of that demand stalls on the technical foundation. That gap is what we call Revenue Leak.
“Revenue Leak is the gap between the revenue your traffic should produce and what actually comes in.”
The model
Five layers between demand and revenue
How many visitors do you lose before they can do anything?
- Load time and Core Web Vitals (LCP, INP, CLS)
- Render-blocking resources and uncompressed images
- Mobile performance versus desktop
What makes your stack slow, and what does that cost?
- Platform and architecture choices
- Third-party scripts: count, weight, blocking time
- App stack: what's needed, what's bloat
Where does conversion leak through technical friction?
- Checkout flow on mobile, step by step
- Tracking, consent mode, and attribution loss
- Owned channels: email and SMS flows
How much more revenue is sitting in your existing traffic?
- CRO observations on key pages
- Ad traffic: bounce and wasted media budget
- Ongoing prioritization by euro impact
How findable and buyable are you for AI agents?
- Quality and structure of product data
- Structured data, feeds, and API accessibility
- Transactional readiness for agentic commerce
Methodology
What we measure
- Core Web Vitals & speed
- Platform & architecture
- Third-party scripts
- Tracking, consent & attribution
- Checkout flow
- Owned channels (email & SMS)
- SEO & findability
- Security & compliance
- App costs
Familiar?
CEO signals
Each one a symptom of the same problem: patterns we see in brands before they commission an audit.
ROAS drops while ad spend rises
Mobile converts structurally lower than desktop
Cart abandonment above 75%
Revenue plateau despite more traffic
App costs rise, results don't
Not findable via AI assistants
CPA rising structurally
Conversion rate below industry average
Average order value declining
High bounce on ad traffic
No organic growth despite SEO investment
Market share declining against comparable product
Methodology
From signal to euros
Every technical finding is tied to a measurable signal (load time, error rate, checkout drop-off, missing tracking data) and translated into estimated revenue loss per month and per year. Where possible we use your own traffic and conversion data to underpin that translation; where we can't, we use industry benchmarks and make that explicit.
So you don't get a loose list of technical remarks, but a business case: what it costs to do nothing, and what it returns to fix it.
Next step
Know within weeks where your leak sits.
The Revenue Leak Audit measures all five layers and translates them into amounts.