Bad Data Test & Revenue Recovery Audit
Start with the 2-minute test, then use the $5k Revenue Recovery Audit to quantify where pipeline and spend are being lost.
Learn about the Audit →DGEFounder-led revenue recovery for paid-growth teams
We Help B2B SaaS Recover 6-Figure Revenue Leaks Caused by Bad Data
For teams spending $50k-$500k/month on paid ads. We fix identity, audiences, and attribution so your existing traffic produces more qualified pipeline without increasing spend.
Or start with the 2-Minute Bad Data TestTakes 2 minutes
Identifies hidden pipeline and wasted spend
Built for B2B SaaS ($5M-$100M ARR)
Before
What the team sees
Reported CAC
$412
Platform conversionsHealthy
CRM match rateUnknown
After
What DGE uncovers
Recoverable pipeline
$35k/mo
Identified visitors+42%
Trusted attributionRestored
What changes
Identity improves. Audiences get cleaner. Attribution becomes trustworthy enough to scale from.
Built for:
B2B SaaS / info products
$5M-$100M ARR
Paid acquisition
$50k-$500k per month
Internal owner
Director+ on growth or demand gen
What We Do
Revenue recovery, simplified
One front-end diagnostic, one core implementation layer, and one traffic identification layer that makes more of your existing spend visible.
Data Growth Stack Implementation
Implementation layer for pixel, audiences, and strategic consulting. Built for teams ready to fix the system, not guess at it.
See what’s included →Traffic Identification Pixel
Identify 30-60% more visitors from traffic you already pay for and turn more anonymous sessions into usable demand data.
How the pixel works →Why This Matters
It's hard to grow on bad data.
This is what bad data looks like inside a paid-growth system.
01
You are funding channels that are not actually driving revenue
Bad attribution makes weak channels look productive, so budget keeps flowing to spend that does not produce pipeline.
02
High-intent visitors never become pipeline because they remain anonymous
The right buyers are already hitting your site. You just are not identifying enough of them to turn that demand into revenue.
03
Your attribution is wrong, so your decisions are wrong
If the measurement layer is broken, every budget, targeting, and forecast decision built on top of it gets weaker.
04
You are optimizing based on incomplete or misleading data
Growth teams move fast, but when CRM, analytics, and ad platform data do not line up, they optimize against the wrong signals.
We exist to turn this noise into a clean, scalable growth system.
Results
Recover lost revenue before you buy more traffic.
Most teams scale paid media before fixing the data layer underneath it.
Recover $20k-$200k/month in lost pipeline before increasing budget.
The fastest way to improve paid efficiency is usually not buying more traffic. It is fixing the hidden data loss already distorting your spend.
Recover lost pipeline visibility
Improve paid spend efficiency
Turn anonymous traffic into contacts
Fix targeting and measurement blind spots
Make growth decisions from cleaner revenue data
How It Works
We Find the Revenue You're Already Paying For
We don't guess. We quantify exactly what you're losing.
01
Diagnose with the Bad Data Test
Identify where revenue is being lost across attribution, traffic identity, and revenue capture.
02
Quantify recoverable revenue
Show exactly how much pipeline and paid spend is recoverable before you increase budget.
03
Implement the Data Growth Stack
Fix attribution, targeting, and identity so the revenue you are already paying for stops leaking.
Qualification
Built for a Specific Type of Company
If you don't meet this criteria, this likely won't work for you.
Best fit
- • B2B SaaS companies
- • $5M-$100M ARR
- • $50k-$500k per month in paid media
- • An in-house growth or demand gen team
Not a fit
- • Ecommerce brands
- • Local businesses
- • Agencies or consultants buying on behalf of clients
- • Early-stage teams without meaningful paid spend
Main CTA
How Much Revenue Are You Losing Every Month Without Realizing It?
Most companies discover 20-30% of their spend or pipeline is misattributed.
You won't see this in your dashboards.
Why We Built DGE
Most paid-growth teams are scaling with less signal, not more.
Data Growth Engine was built after seeing the same pattern over and over: budgets rising, dashboards disagreeing, and leadership making spend decisions without a clean view of what actually drives revenue.
DGE
Founder-led
Built for revenue teams that need cleaner signal
We are obsessed with one problem: paid demand systems breaking because identity, audiences, and attribution are all just good enough to hide the leak.
DGE exists to make the leak visible, quantify it, and fix it before more budget gets thrown into the same broken loop.
Book a Call
See Your Revenue Recovery Opportunity
This is not a sales call.
On this call, we:
- • Review your data and attribution setup
- • Identify where revenue is being lost
- • Estimate recoverable pipeline and wasted spend
Best for: B2B SaaS companies spending $50k+/month on paid media
Book a Call
Review your revenue recovery opportunity
Best fit: B2B SaaS companies with meaningful paid spend and an in-house growth team.
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FAQ
Questions before you take the test?
Direct answers for revenue teams evaluating whether DGE is the right fit.
Final CTA
You're Already Paying for This Lost Revenue
You just can't see it yet.