Platform ROAS looks good, but profit does not.
Brand demand, returning customers, promotions, refunds, margin, and product mix can distort platform ROAS.
We find whether tracking, queries, feeds, landing pages, or product economics are wasting spend. Then we turn the first problem into account changes and review rules.
Share the site, spend range, target CPA or ROAS, and the main issue. No account access needed.
Public cases cover tight budgets, feed structure, B2B lead quality, and PMax rebuilds.
Name the first constraint before adding more account work.
Brand demand, returning customers, promotions, refunds, margin, and product mix can distort platform ROAS.
Weak feed structure, product economics, stock logic, or price tiers can push spend toward low-profit revenue.
The account may buy the wrong demand or send qualified traffic to pages that miss the buyer's question.
The dashboard reports CPA and ROAS, but the team still cannot decide what to pause, scale, or rebuild.
Separate reliable signal from reporting noise.
Each cycle should make the next account move clearer.
Map where spend goes, which campaigns create reliable revenue, and which numbers cannot be trusted yet.
Identify the first problem: tracking, queries, PMax, feed, brand demand, pages, budget, or reporting.
Fix the first signal or economics issue before scaling.
Define what must be true before spend grows: CPA, ROAS, MER, margin, lead quality, or revenue.
Choose what to pause, fix, split, scale, test, or rebuild next.
The loop checks signal, economics, landing pages, and implementation capacity before spend changes.
Name the commercial constraint.
Input: Website, account, tracking, feed, margins, demand, or buyer prompts.Check the data, economics, demand, and implementation limits.
Output: Trusted baseline, attribution, margins, lead quality, stock, and access limits.Choose one move and state the trade-offs.
Output: One priority, target metric, assumptions, exclusions, and decision date.Ship the smallest coherent change.
Output: Owner, sequence, dependencies, approvals, and validation method.Read the result against the agreed commercial metric.
Output: Metric movement, confidence, exclusions, unintended effects, and next decision.Use the result to choose what happens next.
Each module serves a specific account decision.
The team must be able to act on tracking, pages, feed, or budget changes.
Each case shows the constraint, account move, and measured result.
Starting constraint: The account needed to scale without relying on brand bleed or unfocused automation.
What was misleading: PMax reporting hid whether spend reached the right demand and product mix.
What changed: PMax was relaunched with cleaner structure, budget logic, and signal control.
Result: ROAS moved from 3.06 to 5.90 while revenue almost tripled on 37% more spend.
Why it matters: Structure and budget rules were fixed before spend increased.
Starting constraint: A large SKU catalog needed useful PMax output on a $3K budget.
What was misleading: One automation bucket could not reflect SKU economics, price tiers, and traffic quality.
What changed: PMax tiers, feed fixes, budget caps, and traffic hygiene controlled where automation spent.
Result: The account reached 21.23 ROAS on the constrained budget.
Why it matters: Performance improved after SKU economics and budget limits shaped the campaign structure.
Starting constraint: A B2B account needed more qualified leads without raising its $10 CPC cap.
What was misleading: Form volume did not show which traffic was sales-qualified.
What changed: The account was rebuilt around intent, lead quality, landing-page fit, and stricter queries.
Result: The account produced 6x more qualified MQLs under the same $10 CPC cap.
Why it matters: Spend shifted toward sales-qualified leads while the $10 CPC cap stayed in place.
The Google Ads route uses a no-access intake to identify the likely paid-growth constraint and the evidence needed next.
A Google Ads Decision Sprint validates tracking, economics, account evidence, and the implementation choice behind one paid-growth decision.
Google Ads management carries the approved priorities through execution, coordination, and recurring commercial review.
The Growth Diagnosis is $0. Route-specific Decision Sprints are scoped after the diagnosis. An Execution Partnership is scoped only after the Decision Sprint. Performance-linked pricing is optional, never guaranteed, and begins only after the baseline, attribution source, target metric, margin assumptions, and exclusions are agreed. Exact timing and commercial details are confirmed before payment or in the scoped proposal.
Share the goal, spend range, current performance number, and the decision you cannot make. No account access required.
What to know before the first diagnosis.
No. Start with the site, spend range, target metric, and current bottleneck. Access comes later if the diagnosis requires account data.
Yes. We review the feed, product economics, brand signal, asset groups, search categories, and landing-page readiness.
Only when tracking, attribution, the target metric, margins, and exclusions make the model fair.
We can diagnose the gaps and scope the fix. Implementation may involve your developer, analytics specialist, or Etavrian.
The work centers on spend decisions: scale, pause, redirect, or wait until the signal improves.