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Platform ROAS looks good, but profit does not.
Branded demand, returning customers, promo drag, margin, refunds, and product mix can make platform ROAS look cleaner than the business reality.
Google Ads management for teams that need cleaner spend decisions
Google Ads management where ROAS, tracking, margin, and landing pages decide what scales
We diagnose whether paid growth is blocked by account structure, tracking quality, search terms, branded demand, feed issues, landing-page friction, budget allocation, or weak reporting - then manage the decision behind the next campaign edit.
Bring your site, monthly spend range, target CPA or ROAS, and the main issue you want solved. No account access needed for the first call.
Trusted by 600+ SMBs
600+ SMBs supportedPublic marketplace proofFounder-led account diagnosisPMax case: ROAS 3.06 to 5.90PMax tiering case: 21.23 ROAS on $3K budget
Proof across constrained paid media budgets, ecommerce feeds, B2B lead generation, PMax rebuilds, and reporting-heavy accounts.
What usually breaks
The bottleneck is rarely one isolated issue
Most accounts need the first constraint named clearly before more disconnected tasks are added.
PMax scales the wrong products.
Without feed structure, product economics, stock logic, and price-tier control, automation can spend where revenue is easy but profit is weak.
Search terms and landing pages are not aligned.
The account may buy demand that the site cannot convert, or send qualified traffic to pages that do not answer the buyer's real question.
Reporting does not explain what to do next.
Dashboards show CPA, ROAS, clicks, and conversions, but the team still cannot decide what to pause, scale, split, test, or rebuild.
What we check first
The diagnosis starts where decisions get stuck
The first pass separates useful signal from noise before budget, content, or technical work gets heavier.
- Conversion tracking
- GA4 and platform revenue mismatch
- Branded vs non-branded split
- Campaign structure
- PMax asset groups
- Product feed quality
- SKU and margin logic
- Search terms
- Negative keywords
- Landing page fit
- Budget allocation
- Conversion quality
- New vs returning customer mix
- Promo/refund impact
- Competitor pressure
- Reporting clarity
How the work runs
Diagnosis, decision, roadmap, execution, review
Every cycle should make the next commercial move clearer before it adds more completed tasks to a report.
Baseline spend diagnosis
We map where spend goes, which campaigns create reliable revenue, which signals are polluted, and which numbers cannot be trusted yet.
Leakage map
We identify the leakage source: tracking, search terms, PMax structure, feed, branded demand, landing pages, budget mix, or reporting.
Controlled cleanup
Scaling waits until the account has enough signal quality to support better decisions.
Scaling rules
We define what must be true before increasing spend: target CPA, target ROAS, MER, margin, conversion quality, or revenue target.
Weekly decision loop
Every cycle answers one question: what should be paused, fixed, split, scaled, tested, or rebuilt next?
Services included
Operating modules
These modules work as operating lanes inside the roadmap, with each one tied to a decision.
Paid Spend Leakage Check
Google Ads Account Cleanup
PMax and Shopping Structure
Search Campaign Management
LinkedIn Ads vs Google Ads Decision Guide
Compare LinkedIn Ads and Google AdsTracking and Reporting Alignment
Landing Page and Conversion Friction Review
Budget and Scaling Decision Support
Fit / not fit
This is for teams that can act on a cleaner read
The work is strongest when the team can change pages, tracking, budget logic, or implementation priorities after the diagnosis.
Good fit
- You spend enough for Google Ads data to matter.
- You care about CPA, ROAS, MER, pipeline, or revenue.
- You want tracking and business logic checked before scaling.
- You are open to landing-page, feed, or tracking changes.
- You want campaign maintenance with a decision partner behind it.
Poor fit
- You only want the cheapest campaign setup.
- You expect scaling before tracking is reliable.
- You only judge performance by platform screenshots.
- You cannot change landing pages, feed, tracking, or budget allocation.
- You want daily random edits instead of a controlled decision rhythm.
Case studies
Proof from constrained, implementation-heavy work
The useful pattern is not the tactic count. It is the order of decisions under real constraints.
5.9 ROAS with a PMax relaunch
Starting constraint: The account needed to scale revenue without relying on brand bleed or unfocused automation.
What was misleading: Surface-level PMax performance hid whether spend was going to the right demand and product mix.
What changed: We relaunched PMax with cleaner structure, budget logic, and stronger control over the signals that mattered.
Result: ROAS moved from 3.06 to 5.90 while revenue almost tripled on 37% more spend.
Why it matters: The account scaled because the inputs were controlled before the budget increased.
$3K to 21.23 ROAS Using PMax Tiers
Starting constraint: A large SKU catalog needed useful PMax output on a $3K budget.
What was misleading: A single automation bucket could not reflect SKU economics, price tiers, and traffic quality.
What changed: We used PMax tiering, feed fixes, budget caps, and traffic hygiene to control where automation spent.
Result: The account reached 21.23 ROAS on the constrained budget.
Why it matters: Automation performed better after the commercial logic was built into the structure.
How a $10 CPC Cap Grew B2B MQLs 6x
Starting constraint: A high-CPC B2B search account had to improve qualified lead flow without raising the CPC ceiling.
What was misleading: Form-fill volume did not tell the team which traffic was actually sales-qualified.
What changed: We rebuilt around search intent, lead quality, landing-page fit, and a stricter query path.
Result: The account produced 6x more qualified MQLs under the same $10 CPC cap.
Why it matters: The useful win was clearer spend direction toward qualified pipeline, not cheaper clicks alone.
Next step
Find where paid spend is leaking
Share your site, monthly spend range, target CPA or ROAS, and the main performance issue. We will map the first paid media bottleneck before recommending management, cleanup, or a test plan.
Get Paid Spend Leakage CheckFAQ
Questions before the first decision
A few points to clarify before the first diagnosis.
Do you need account access before the first call?
No. The first conversation can start with the site, spend range, target metric, and current bottleneck. Access is only needed when we start deeper diagnosis or implementation.
Can you manage PMax?
Yes, but PMax is not treated as a black box. We review feed structure, product economics, branded/non-branded signal, asset groups, search categories, and landing-page readiness.
Do you work on a performance-based fee?
Only when tracking, attribution source, target metric, margin assumptions, and exclusion rules are clear enough to make the fee fair.
Can you fix tracking?
We can diagnose tracking gaps and define what must be fixed. Depending on setup, implementation may involve your developer, analytics specialist, or our implementation support.
What makes your Google Ads management different?
The work is organized around spend decisions. We focus on whether the next dollar should be scaled, paused, redirected, or delayed until signals improve.
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