Meta Ads · Australia

Most Meta Ads budgets are
working against themselves.

Running Facebook and Instagram ads without a clear campaign structure means your prospecting, retargeting, and broad campaigns are competing with each other. The spend looks active. The results stay inconsistent.

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The problem

The campaigns are running.
But the structure is working against you.

For most Australian e-commerce founders managing their own Meta Ads, the problem is not the creative or the audience. It is the architecture. Campaigns added over time without a clear logic create internal competition, muddy attribution, and make it nearly impossible to know what is actually driving purchases.

Meta's algorithm is powerful, but it optimises for what you measure. If the campaign structure is unclear, the signals you send are unclear, and the results reflect that.

  • Prospecting and retargeting campaigns competing for the same audience
  • Advantage Plus Shopping running without exclusions or spend logic
  • No clear separation between acquisition and retention objectives
  • Attribution window mismatches creating inflated or misleading ROAS
  • Budget distributed by habit rather than by performance signal

The approach

Campaign architecture designed
for how Meta actually works.

01

Campaign structure and objective mapping

Each campaign is assigned a single, clear objective. Prospecting, retargeting, and retention are separated deliberately so the algorithm receives clean signals and budget does not cross-contaminate.

02

Audience logic and exclusion setup

Audience overlap is addressed at the architecture level, not patched after the fact. Exclusions are built in from the start so each campaign reaches the right people without internal competition.

03

Retargeting and ASC structure

Retargeting campaigns are built around purchase intent signals, not just site visitors. Advantage Plus Shopping is structured with clear spend guardrails and monitored against prospecting to prevent cannibalisation.

04

Measurement and attribution setup

Attribution windows are set deliberately and consistently across campaigns. Reporting is configured to reflect actual revenue contribution, not platform-optimistic figures.

In practice

What structured Meta Ads
actually produces.

The following is from an active Australian e-commerce account managed by GRUNN. These figures reflect a specific account context and are shared as a reference point for what the methodology produces, not as a guarantee or benchmark.

83.9x
Retargeting ROAS across
structured campaigns
20.4x
Advantage Plus Shopping
ROAS
56
Campaigns managed with
clear architecture
Before
Campaigns had grown organically over time, with prospecting, retargeting, and broad campaigns running simultaneously without clear audience separation. ROAS figures varied significantly week to week, and it was difficult to attribute results to specific campaigns with confidence.
What changed
Campaign architecture was rebuilt with clear objective separation. Audience exclusions were set at the campaign level. Retargeting was restructured around high-intent signals. Advantage Plus Shopping was isolated with spend logic to prevent it from cannibalising prospecting. Attribution was standardised across all active campaigns.
Result
Retargeting ROAS of 83.9x and ASC ROAS of 20.4x across a high-volume account with 56 active campaigns. Performance became consistent and attributable, with clear decision frameworks in place for ongoing budget allocation and creative testing.

What's covered

Meta Ads services for
Australian e-commerce brands.

Campaign structure and objective mapping
Audience logic and exclusion setup
Retargeting campaign architecture
Advantage Plus Shopping setup and logic
Attribution setup and reporting
Budget allocation and spend logic
Ongoing optimisation and management
Creative performance review

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