Tracking decides what the account learns
The setup starts with conversion actions, GA4/GTM, value logic, and what should count as success.
Google Ads / initial setup
Google Ads initial setup for account structure, conversion tracking, Merchant Center basics, first controlled campaigns, and budget logic before spend scales.
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.
Where this fits
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.
The setup starts with conversion actions, GA4/GTM, value logic, and what should count as success.
Campaigns, ad groups, product groups, match types, and budgets are built around the first decision to prove.
Keywords, negatives, creative, feed fields, landing pages, and exclusions shape the first month of learning.
Spend is tied to a test period, expected signal, and rules for what changes after the first read.
What gets checked
The checklist changes by service, but the output should make clear what is confirmed, what is missing, and what can be acted on safely.
Deliverables
The output should be practical enough for the person who has to approve, implement, or measure the next change.
The conversion actions, GA4/GTM checks, value assumptions, and gaps that need fixing before launch.
Campaign, ad group, keyword, feed, budget, and negative keyword structure for the first controlled test.
What will be checked after launch and which signals decide whether to scale, pause, or rebuild.
Process
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.
Check what the platform says, what GA4 says, and what the business actually needs.
Decide whether the next move is tracking, query cleanup, structure, feed, landing page, or budget rules.
Avoid random edits. Each change should have a reason, expected signal, and review window.
Report what should be paused, fixed, split, scaled, tested, or rebuilt next.
Relevant proof
These links point to public Etavrian proof that is closest to the operating pattern behind this page.
Next step
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
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.
Yes. PMax is reviewed through feed, asset groups, product economics, branded signal, search categories, and landing-page readiness.
Sometimes, after tracking, target metric, attribution source, margin assumptions, and exclusions are clear enough to make the model fair.
The output can lead to cleanup, rebuild, campaign launch, ongoing management, or a narrower fix if one bottleneck is clearly first.