Paid Acquisition System Operator
US Founder
UK Founder
US Founder 2
AU Founder
US Founder 3

Trusted by 10+ US Founders

US
4.5

Paid Acquisition
Systems

AI runs more of the campaign than ever. I make sure it runs toward profit.

Google's bidding, matching, and budget allocation is increasingly automated. I build the strategy, clean the signal, set the constraints β€” and audit whether automation is producing real customers, not inflated platform metrics.

Google Ads Β· Performance Max Β· Tracking Infrastructure

70Γ—
Peak ROAS
AU/NZ eCommerce
20Γ—
Peak ROAS
US Retail
$10M+
Ad spend
managed
βˆ’53%
CPA reduction
Healthcare

Built for U.S. eCommerce, healthcare, and high-intent lead-gen brands spending $5K–$80K/month on Google Ads β€” where broken tracking, wasted PMax spend, or poor lead quality is the bottleneck.

Structured demand capture + bulletproof conversion tracking + first-party data strategies + Performance Max architecture that actually scales without waste.

Performance Max Server-Side Tracking First-Party Data eCommerce Healthcare / Medspa B2B SaaS Lead Gen
β–Έ Verified unscripted recording Watch what a real client said about the engagement
↓
Track Record
$10M+
Ad spend managed
70Γ—
Peak ROAS achieved
10+
Yrs paid acquisition
Former Google Ads Partner Program β€” 2020–2023
Google Ads Search Certified
Founder / Owner β€” Zeldigital.com
Book 15-Min Fit Call β†’ WhatsApp (Business only)

Client Testimony

Heard directly
from the client.

Working with Hans was the first time I felt like someone actually understood what was happening inside our ad account β€” not just surface metrics, but the real structural issues causing our wasted spend.

Real Client
eCommerce Founder Β· US Market
Verified recording β€” unscripted, unedited

This is an unscripted conversation β€” no talking points, no rehearsed answers. Watch the full recording to hear exactly what the engagement looked like from the client's side.

Book a Fit Call β†’ More Testimonials Watch Videos

Who I Work With

You know the spend is there.
The return isn't.

The core problem is always the same β€” money going in, signal coming out broken, and Google's AI making decisions on garbage data. Pick the path that matches how you operate.

Not sure which fits? Book a 15-min fit call and I'll tell you straight.


Case Studies

Real accounts.
Real outcomes.

Every number comes from a live account, a real client, a specific optimization window. No projections.

eCommerce Β· Security Equipment Β· US
14 Months Β· Feb 2022–May 2023

$139/month to
$14,201.

A security equipment retailer was running Google Ads at a 0.17Γ— ROAS β€” effectively burning budget. No Shopping structure, no bid discipline, no negative keyword management. Full restructure: Shopping and Dynamic Search Ads introduced, budget shifted to top-performing segments, A/B tested creatives and landing page CTAs.

21Γ—
Peak ROAS
(from 0.17Γ—)
+10,117%
Monthly revenue
in 12 months
$129,545 tracked revenue Β· $17,947 spend Β· 7.22Γ— aggregate ROAS
Discuss your account β†’
Healthcare Β· Lead Gen Β· California
90 Days Β· Sep–Dec 2024

CPA cut from $115
to $54.

A California treatment center had no attribution tracking, zero conversion clarity, and a campaign structure that couldn't tell a real lead from a bounce. Budget was at $0 β€” no founder confidence to spend. Rebuilt the entire account, integrated CallTrackingMetrics, fixed conversion tracking end-to-end, segmented by intent.

βˆ’53%
Cost per lead
$115 β†’ $54
47
Qualified leads
in month one
Budget scaled $0 β†’ $4,000+/month as results justified spend
Discuss your account β†’
Behavioral Healthcare Β· Lead Gen Β· Orange County
60 Days Β· 2024–May 2025

40% more leads.
CPA down 30%.

Multiple behavioral healthcare providers in a saturated Orange County market β€” high CPC, poor Quality Scores, no hyperlocal targeting strategy. Built Search, PMax, and Local Services campaigns. Competitor conquest with compliant copy. Hyperlocal ZIP-code targeting. Full tracking stack: GA4 + GTM + CallTrackingMetrics.

βˆ’30%
CPA reduction
within 60 days
+40%
Phone call leads
vs. prior benchmarks
Discuss your account β†’
B2B Β· Enterprise Β· Manufacturing Β· US
Nov 2023–Jul 2024

$300K β†’ $150K/month.
Conversions up 50%.

An engine manufacturing company was spending $300,000/month with a $23 CPA and conversion rates that didn't justify the budget. High competition, no bid discipline, no audience refinement. Deep audit, restructured bid management by time/location/audience, reallocated budget, A/B tested landing pages for mobile and load speed.

βˆ’39%
CPA reduction
$23 β†’ $14
+50%
Conversions
with half the spend
Monthly ad spend cut $300K β†’ $150K Β· freed budget reinvested into new campaigns
Discuss your account β†’
Explore all case studies β†’ Work with Hans
What I Do

Four systems.
One operator.

I don't just manage campaigns β€” I engineer acquisition infrastructure that compounds. Campaigns end when the budget stops. Systems keep delivering. Every engagement is built around signal quality, structural integrity, and bidding logic that actually matches how Google's AI makes decisions.
Start with a Fit Call β†’
Entry Offer
00 /
AI Readiness + Signal Audit
Before you scale, you need to know what Google's AI is actually learning from. Most accounts feed the algorithm broken data β€” then wonder why automation isn't working.
  • Full conversion tracking and attribution audit
  • CRM and offline conversion readiness check
  • PMax and AI Max signal-quality review
  • Automation-risk assessment β€” where AI decides on weak data
  • 90-day acquisition roadmap with prioritized fixes
Fixed scope. Fixed price. No retainer required to start. If the audit finds nothing wrong, you'll know your foundation is clean.
Request an audit β†’
01 /
Demand Capture
Precision Google Ads architecture that captures high-intent search demand the moment buyers are ready.
  • Clean structure & smart signals
  • eCommerce shopping architecture
  • Healthcare compliance campaigns
  • B2B pipeline generation
Audit my account β†’
02 /
Acquisition Systems
Full-stack performance infrastructure built for accuracy and signal quality.
  • Server-side tagging Β· GA4 Β· Enhanced conversions
  • Offline conversion import
  • Customer Match & CLV/profit signals
  • Performance Max audits & restructures
Most accounts leak 40–60% of budget due to broken tracking or poorly structured PMax. I fix the foundation so Google's AI works for you.
Fix my tracking β†’
03 /
Channel Expansion
Once Google is optimized and data is clean, expand confidently into new channels.
  • Microsoft/Bing ads
  • Amazon Ads integration
  • TikTok paid acquisition
  • Programmatic display
  • Unified reporting & attribution
Expand my reach β†’
04 /
Creative Strategy
AI can generate a hundred ad variations. Someone still has to decide the angle, the offer, the hook, and which objection to handle first. That's not automation β€” that's judgment.
  • Buying trigger and friction point identification
  • Hook and angle development by intent stage
  • Ad copy direction for Search and PMax asset groups
  • Creative testing frameworks β€” what to test and why
  • Direction for in-house designers and copywriters
You don't need more variations. You need better decisions about which variations to run.
Talk creative strategy β†’
The System

How the work
gets done.

Every engagement runs through the same four-layer framework β€” built around signal quality, business constraints, and keeping AI accountable to real outcomes.

Most accounts fail because AI is optimizing toward the wrong signal. H.A.N.S. fixes the foundation first β€” before a single dollar scales.

This isn't a methodology for slides. It's the actual sequence of decisions made in every account, every week.

H
High-Leverage Strategy
Offer, market, ICP, budget, and channel decisions made before a single dollar spends. No campaign goes live without a strategic brief.
A
Accurate Signal
Server-side tracking, CRM data, first-party audiences, and conversion-quality rules β€” so Google's AI bids on truth, not noise.
N
AI-Native Execution
AI-assisted research, creative variants, audits, and anomaly detection β€” with human QA on every output. Automation runs faster when it's supervised.
S
Scale With Guardrails
Brand safety rules, lead-quality thresholds, margin constraints, and automation overrides before scaling spend. Growth that doesn't break the business.
Playbook

Operator thinking.
Made public.

Practical, no-fluff insights on demand capture, campaign restructuring, Performance Max optimization, tracking setups, and building systems that survive algorithm changes β€” written for founders who want to understand what's really happening in their accounts.

Read the playbook β†’
β†’Why your ROAS drops after scaling
β†’Performance Max: when to use it, how to audit & restructure, how to avoid common waste
β†’Tracking setups that actually tell the truth (server-side, enhanced conversions, offline)
β†’First-party data as your new competitive moat
β†’Campaign structure that survives AI changes
β†’Budget allocation frameworks for sustainable growth

15 minutes to
determine fit.

Not a sales call. An operator conversation β€” to determine whether there's a real match between what you need and what I build. If there isn't, I'll tell you.

15 minutes. No pitch deck.
US market founders and operators only.
WhatsApp: +63 976 105 3409 β€” strictly business
What we cover
The fit call

An honest 15-minute conversation. I need to understand your situation before I can tell you whether I can help β€” and whether it's worth your time to proceed.

Your current acquisition setup and what's broken
Monthly ad spend and revenue targets
Where the bottleneck is β€” tracking, structure, budget, or strategy
Whether an acquisition system is the right next move
Book a time
15-Minute Fit Call