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Case study / Google Ads

Case Study: The Brand-Split PMax Move Behind 9.01 ROAS

A forged-wheels PMax account moved from mixed demand toward clearer brand and non-brand separation. The result was a cleaner read on acquisition quality and a ROAS lift from 3.26 to 9.01.

ROAS3.26 -> 9.01ROAS movement from the logo-wall proof summary.
ROAS3.26 -> 9.01

ROAS movement from the logo-wall proof summary.

01

Problem

Mixed PMax demand made it hard to read true paid acquisition performance.

Mixed PMax demand made it hard to read true paid acquisition performance.
02

Action

Separated brand and non-brand demand to clarify acquisition quality.

Separated brand and non-brand demand to clarify acquisition quality.
03

Result

ROAS lifted from 3.26 to 9.01.

ROAS lifted from 3.26 to 9.01.

A forged-wheels PMax account moved from mixed demand toward clearer brand and non-brand separation. The result was a cleaner read on acquisition quality and a ROAS lift from 3.26 to 9.01.

Problem

Mixed PMax demand made it hard to read true paid acquisition performance.

Action

Separated brand and non-brand demand to clarify acquisition quality.

Result

ROAS lifted from 3.26 to 9.01.

The Decision-to-Outcome System

The result belongs to a decision loop, not an isolated tactic.

This google ads case is presented through the same five stages: diagnose the constraint, validate the evidence, decide the move, execute it, and prove the change.

  1. 01

    Diagnose

    Find the commercial constraint before choosing a channel task.

    Input: Website, account, tracking, feed, margins, demand, or buyer prompts.
  2. 02

    Validate

    Check the data, economics, demand, and implementation reality behind it.

    Output: Trusted baseline, attribution, margins, lead quality, stock, and access limits.
  3. 03

    Decide

    Choose the highest-leverage move and make the trade-offs explicit.

    Output: One priority, target metric, assumptions, exclusions, and decision date.
  4. 04

    Execute

    Ship the smallest coherent intervention that can change the outcome.

    Output: Owner, sequence, dependencies, approvals, and validation method.
  5. 05

    Prove

    Read the result against revenue, margin, pipeline, or qualified demand.

    Output: Metric movement, confidence, exclusions, unintended effects, and next decision.

Repeat: evidence from Prove becomes the next Diagnose input.

Verified worked example

What the loop looked like in one PMax relaunch.

  1. What the dashboard appeared to showROAS was 3.06 while PMax needed to scale.
  2. What the diagnosis foundBrand demand could hide acquisition efficiency; the conversion signal and segmentation needed cleaning.
  3. What decision was madeRelaunch PMax around cleaner signal, clearer segments, and brand-bleed control.
  4. What was implementedRebuilt the campaign structure and increased spend with discipline.
  5. What changedROAS reached 5.90 and revenue almost tripled on 37% more spend.
Read the verified case