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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 before the account starts learning from bad signal
Google Ads initial setup for account structure, conversion tracking, Merchant Center basics, first controlled campaigns, and budget logic before spend scales.
Trusted by 600+ SMBs
Tracking quality · Search terms · PMax inputs · Landing pages · Budget logic
Where is the work getting stuck?
Start with the problem your team needs to solve.
Structure should match the first test
Campaigns, ad groups, product groups, match types, and budgets are built around the first decision to prove.
Inputs need enough detail before launch
Keywords, negatives, creative, feed fields, landing pages, and exclusions shape the first month of learning.
Budget needs a review window
Spend is tied to a test period, expected signal, and rules for what changes after the first read.
What we check
We review the current setup before recommending changes.
- Account and conversion setup
- GA4 and GTM readiness
- Campaign structure and naming
- Keyword and match-type plan
- Negative keyword seed list
- Merchant Center and feed readiness
- Landing page and offer fit
- Budget and first review window
What you get back
Clear deliverables your team can use.
Tracking setup notes
The conversion actions, GA4/GTM checks, value assumptions, and gaps that need fixing before launch.
Launch structure plan
Campaign, ad group, keyword, feed, budget, and negative keyword structure for the first controlled test.
First-month review rules
What will be checked after launch and which signals decide whether to scale, pause, or rebuild.
How the work moves forward
Agree the priority, deliver the work and check the result.
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.
From the first question to the result.
A named owner, a clear scope and a way to judge the result.
- 01
Diagnose
Find what is holding growth back.
Input: Website, account, tracking, feed, margins, demand, or buyer prompts. - 02
Validate
Check the data, economics, demand, and implementation limits.
Output: Trusted baseline, attribution, margins, lead quality, stock, and access limits. - 03
Decide
Choose one move and state the trade-offs.
Output: One priority, target metric, assumptions, exclusions, and decision date. - 04
Execute
Implement the agreed fix.
Output: Owner, sequence, dependencies, approvals, and validation method. - 05
Prove
Check the result against your business goal.
Output: Results, what we learned and the next priority.
Client case study
What the loop looked like in one PMax relaunch.
- What the dashboard appeared to showROAS was 3.06 while PMax needed to scale.
- What the diagnosis foundBrand demand could hide acquisition efficiency; the conversion signal and segmentation needed cleaning.
- What decision was madeRelaunch PMax around cleaner signal, clearer segments, and brand-bleed control.
- What was implementedRebuilt the campaign structure and increased spend with discipline.
- What changedROAS reached 5.90 and revenue almost tripled on 37% more spend.
See the work behind the results
Explore related client projects, the changes we made, and the results.
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.
Before we start
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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