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Case study / Google Ads

Case Study: 5.9 ROAS with a PMax relaunch - how?

12-month turnaround for an Australian handmade kids books store: ROAS jumped from 3.06 to 5.90, revenue almost 3x on 37% more spend. See the pivot that made PMax scale without brand bleed.

ROAS3.06 -> 5.90ROAS movement from the public case summary.
ROAS3.06 -> 5.90

ROAS movement from the public case summary.

01

Problem

PMax needed to scale without hiding efficiency behind brand demand.

PMax needed to scale without hiding efficiency behind brand demand.
02

Action

Relaunched PMax with cleaner conversion signals, segmentation, and brand-bleed control.

Relaunched PMax with cleaner conversion signals, segmentation, and brand-bleed control.
03

Result

ROAS moved from 3.06 to 5.90 and revenue almost tripled on 37% more spend.

ROAS moved from 3.06 to 5.90 and revenue almost tripled on 37% more spend.

12-month turnaround for an Australian handmade kids books store: ROAS jumped from 3.06 to 5.90, revenue almost 3x on 37% more spend. See the pivot that made PMax scale without brand bleed.

Problem

PMax needed to scale without hiding efficiency behind brand demand.

Action

Relaunched PMax with cleaner conversion signals, segmentation, and brand-bleed control.

Result

ROAS moved from 3.06 to 5.90 and revenue almost tripled on 37% more spend.

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

    Name the commercial constraint.

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

    Validate

    Check the data, economics, demand, and implementation limits.

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

    Decide

    Choose one move and state the trade-offs.

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

    Execute

    Ship the smallest coherent change.

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

    Prove

    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.

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