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The account may be learning from weak conversions
CPA and ROAS are checked against conversion source, lead quality, revenue value, and attribution gaps.
Google Ads / campaign analysis
Google Ads campaign analysis that finds what is actually leaking
Google Ads campaign analysis for tracking gaps, wasted spend, search-term issues, structure problems, conversion quality, and landing page friction.
The first output is a short action map: what to fix now, what to leave alone, what needs better data, and who should own the next check.
Trusted by 600+ SMBs
Tracking qualitySearch termsPMax inputsLanding pagesBudget logic
Where this fits
Start with the page, account, workflow, or report blocking the next move
Each service starts by naming the object we can inspect: account data, site pages, workflow inputs, source material, or reporting. That keeps the first scope practical.
Search terms expose intent quality
The analysis separates useful queries from waste, research traffic, branded leakage, and landing-page mismatch.
Structure can hide the first fix
Campaign type, match types, PMax inputs, budgets, and exclusions are reviewed before recommending changes.
The output should name what to do next
The analysis ends with what to pause, split, rebuild, test, or leave unchanged.
What gets checked
The first pass separates usable facts from assumptions
The checklist changes by service, but the output should make clear what is confirmed, what is missing, and what can be acted on safely.
- Conversion source and attribution confidence
- Search terms and negative keyword gaps
- Campaign structure and budget allocation
- Brand versus non-brand separation
- PMax, Shopping, and feed signal quality
- Landing page and offer mismatch
- Lead quality or revenue quality
- Next test, cleanup, or rebuild priority
Deliverables
What you get back
The output should be practical enough for the person who has to approve, implement, or measure the next change.
Campaign signal read
A short read on which metrics are trustworthy, polluted, missing, or misleading.
Waste and constraint map
The account areas most likely to leak spend or block useful learning.
Change list by priority
A controlled list of changes with the reason, expected signal, and review window.
Process
A narrow review before heavier execution
The work starts with the smallest scope that can change a decision: one account review, one content workflow, one tracking issue, or one creative test plan.
Read the account baseline
Check what the platform says, what GA4 says, and what the business actually needs.
Name the first constraint
Decide whether the next move is tracking, query cleanup, structure, feed, landing page, or budget rules.
Make controlled changes
Avoid random edits. Each change should have a reason, expected signal, and review window.
Review by decision, not activity
Report what should be paused, fixed, split, scaled, tested, or rebuilt next.
Relevant proof
Use proof to inspect the decision logic
These links point to public Etavrian proof that is closest to the operating pattern behind this page.
Next step
Send the page, account, workflow, or report that needs a decision.
Share the current context and the decision you are trying to make. The first conversation sorts whether this should be a narrow review, a build sprint, or a different service path.
FAQ
Questions before the first read
Do you need Google Ads access before the first call?
No. The first call can start with the site, spend range, target metric, and current issue. Access is needed only for deeper diagnosis or implementation.
Can this include PMax?
Yes. PMax is reviewed through feed, asset groups, product economics, branded signal, search categories, and landing-page readiness.
Do you work on a performance-based model?
Sometimes, after tracking, target metric, attribution source, margin assumptions, and exclusions are clear enough to make the model fair.
What happens after the analysis?
The output can lead to cleanup, rebuild, campaign launch, ongoing management, or a narrower fix if one bottleneck is clearly first.
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