Google Ads · Performance Max · Tracking Infrastructure
For Ecommerce & Local Brand Owners

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

Whether you're running Shopify/WooCommerce ads or managing leads across multiple locations, the problem is usually the same: broken tracking, Performance Max wasting budget you can't trace, and reports that don't match your bank account.

Ecommerce Multi-Location Local PMax Audits Tracking Infrastructure First-Party Data
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Which one are you?

Two kinds of brand owner.
One root problem.

Money going in, signal coming out broken, and Google's AI making decisions on garbage data. Pick the one that's you.

ICP Profile
The Ecommerce
Brand Owner
You're doing $30K–$500K/month in revenue and running Google Ads — but your ROAS report and your bank account tell two very different stories.
Spend $5K–$80K/mo
Platform Google Ads + Shopify / WooComm
Primary pain Broken tracking, PMax waste
Goal Profitable scale without guessing
"My agency says ROAS is 6×. My profit margin says otherwise. I don't even know what's real anymore."
01 /
Your ROAS looks good. Your margins don't.
Google is optimizing for reported revenue, not profit. Returns, discounts, shipping costs, and LTV aren't in the signal — so you're scaling campaigns that are actively destroying margin while the dashboard says 5× ROAS.
Margin killer Conversion signal Profit bidding
Silent drain
02 /
Performance Max is spending — but you have no idea where.
PMax shows you one blended number across Search, Shopping, Display, YouTube, and Gmail. You can't tell which channel is performing and which is burning budget on low-intent placements. Google designed it that way.
PMax black box Asset group structure Most fixable
$2K–$15K/mo lost
03 /
Tracking is broken and everyone says it's fine.
Your agency set up GA4 and Google Tag Manager three years ago and hasn't touched it since. Enhanced conversions aren't enabled. Server-side isn't configured. iOS14 killed half your signal and nobody told you — or fixed it.
Data loss GA4 + GTM Enhanced conversions Server-side
30–60% signal lost
04 /
You're paying to retarget people who already bought.
Without proper Customer Match exclusions and audience segmentation, your ads are chasing recent purchasers, current customers, and email subscribers — people who were going to buy anyway. You're paying for credit you don't need to take.
Wasted spend Customer Match Audience segmentation
Invisible waste
05 /
Scaling breaks the account every time.
You double the budget and ROAS collapses. You pull back and it recovers. The account doesn't have a stable structure — it's patched campaigns, mismatched bidding strategies, and competing ad groups that are cannibalizing each other.
Scaling ceiling Campaign architecture Fixable in 30 days
Growth blocked
06 /
Your feed is the reason Shopping underperforms.
Titles that say "Blue T-Shirt — Medium" instead of what buyers actually search. Missing GTINs. No supplemental feed. Google is matching your products to irrelevant queries because you gave it garbage to work with — and PMax made it worse.
Feed quality Shopping architecture Merchant Center
Low-intent traffic
ICP Profile
The Multi-Location
Business Owner
You operate 2–20+ locations across a region or nationally. Each location has its own market, its own competitive set, and you're trying to run Google Ads for all of them.
Verticals HVAC, medspa, dental, home services
Spend $3K–$30K/mo per location
Primary pain Cost per lead, lead quality
Goal Qualified leads at a predictable CPL
"I'm getting leads — but my sales team says half of them aren't serious. I don't know if it's the ads or the market."
01 /
You're paying for leads. You're not paying for qualified leads.
The campaign optimizes for form fills and calls. It doesn't know which ones turned into booked appointments, closed sales, or repeat customers — because that data lives in your CRM, not in Google Ads. So the algorithm chases volume, not value.
Lead quality Offline conversion import High-value fix
Budget on bad leads
02 /
Every location is competing against itself.
When your Scottsdale and Phoenix campaigns run under the same account structure, they bid against each other in overlapping geo targets — inflating your own costs. Location consolidation without proper geo architecture is money thrown at an auction you're running against yourself.
Self-competition Geo targeting Campaign structure
CPL inflated 20–40%
03 /
Call tracking is broken or non-existent.
If your conversion is a phone call, you need to know which keyword, which ad, which geo drove that call — and whether it was answered. Most setups count the ring. Not the answer. Not the booking. Google is optimizing for phone rings from people who hung up.
Call tracking Conversion quality Healthcare compliance
Phantom conversions
04 /
Your negative keyword list hasn't been touched in months.
Broad match and PMax are serving to "near me" searches in markets where you don't operate. DIY queries. Competitor brand searches. Adjacent services you don't offer. Every irrelevant click is a dollar that didn't go toward a real prospect.
Wasted reach Negative keywords Search term hygiene
$1K–$8K/mo leaked
05 /
Seasonality hits you every year like it's new information.
HVAC in August. Medspa in December. Your busiest seasons are also when CPCs peak and competitors flood the auction. Without a seasonal bidding strategy and budget phasing built ahead of time, you're reactive — and you always overpay at the worst moment.
Seasonal planning Budget strategy Auction dynamics
Reactive = expensive
06 /
You have no single view of what's actually working across locations.
One location is crushing CPL. Two others are hemorrhaging budget. You don't have a unified reporting view that breaks down performance by location, by keyword intent, by lead stage — so decisions happen on gut, not data.
Reporting gap Looker Studio Quick win
Flying blind
What happens next
If three of these hit — it's fixable.
Book 15-Min Fit Call → See the fixes in action
Selected Results

Real numbers.
Real engagements.

These aren't aggregate projections — every number comes from a live account, a real client, a specific optimization window.

70×
Peak ROAS — eCommerce seasonal scaling campaign
Performance Max + Search · seasonal product push · 6-week window
AU/NZ · eCommerce
View case study →
$4M+
Tracked eCommerce revenue in a single 30-day optimization window
Shopping + PMax restructure · clean conversion signal · Customer Match upload
eCommerce · Single Month
View case study →
3.1→5.4×
ROAS scaled in 90 days — $250K/mo eCommerce brand
Campaign restructure + server-side tracking fix + tROAS bidding calibration
eCommerce · 90-Day Optimization
View case study →
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Ready to see what's
actually broken?

15 minutes. No pitch deck. I'll tell you straight if there's a fit.

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