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eCommerce & Retail Case study

4.20x Peak-Month ROAS and 1,157 Purchases for an NZ Fashion Brand

How catalogue ads, timed sale campaigns and evergreen video on Meta delivered 1,157 purchases at a 3.38x blended ROAS, with a 4.20x peak month, for an NZ fashion eCommerce brand selling in New Zealand and Australia.

Line-art of a folded jumper and tote bag connected to a laptop product grid, a shopping cart and a line chart reaching a peak
Industry
eCommerce & Retail
Services
Meta Ads, Facebook Ads, eCommerce Marketing, Conversion Optimisation
Client
Kept confidential
Published
June 2026
Purchases
1,157
Blended ROAS
3.38x
Share of revenue from the peak month
43%
Campaign period (approx.)
4 months

01

The Challenge

The brand is a New Zealand eCommerce business selling fashion, with customers in both New Zealand and Australia. Like most growing online retailers, it faced two competing pressures: it needed steady revenue across the year, while also making the most of the sale moments that drive a disproportionate share of online sales.

When we took over the Meta account, the brand needed a structure that could keep selling the full range day to day, while also giving each seasonal sale and new edit a proper launch. The goal was clear: build an always-on engine for both markets, then push hard into the sale periods when buying intent peaks.

02

Our Approach

We treated the account as two jobs at once. Keep always-on campaigns selling the range in both countries, and launch a dedicated, time-boxed campaign for every sale and edit. New Zealand and Australia ran as separate ad sets or campaigns, so each market could be read on its own.

  1. Step 1

    Catalogue Ads for the Full Range

    When we took the account over, we launched two always-on catalogue campaigns: one for new arrivals and one for clearance stock. Catalogue ads show each shopper the products most relevant to them, which let the account stay relevant across a wide fashion range without writing a new ad for every item. Each campaign tested broad Advantage+ targeting against stacked interest audiences in both markets.

  2. Step 2

    Timed Sale and Edit Campaigns

    Every promotion got its own campaign with a fixed start and end date: a winter sale in New Zealand and Australia, a flash sale on a single print, and short, focused edits for individual categories such as winter outerwear, dresses and knitwear. This kept each offer’s message sharp and made it easy to see which promotions paid their way.

  3. Step 3

    Evergreen Video

    About two months in, we added an always-on video campaign for both markets, testing four video versions against each other alongside a broad Advantage+ audience.

03

The Results

Across about four months under our management, the campaigns we built generated 1,157 purchases at a 3.38x blended return on ad spend, with a best month of 4.20x.

The account’s strongest month under our management:

  • 4.20x return on ad spend, 24% above the blended average for the full period
  • 43% of the period’s revenue, from 35% of its ad spend
  • Every campaign running that month returned more than 3.4x: the two winter sale campaigns 4.30x and 5.09x, the evergreen video 4.28x, new-arrivals catalogue 4.18x and clearance catalogue 3.47x. The best of them returned about 1.5 times the ROAS of the weakest

Across everything we have run:

  • 1,157 purchases
  • 3.38x blended return on ad spend

Not every month hit that peak. The month before it returned 2.78x, and the most recent part-month 2.10x. The blended figure includes those quieter months, which is why it sits below the peak.

All figures are Meta-reported purchases and purchase value on a 7-day click attribution window (no view-through). They cover only the campaigns we built, not the account’s earlier activity under previous management.

04

Key Takeaways

  1. 01

    Always-on plus time-boxed works

    Catalogue and evergreen video campaigns kept the range selling, while dedicated sale campaigns gave each promotion a clean launch and a clean read

  2. 02

    Read each market on its own

    Separating New Zealand and Australia showed how each country responded to the same offer

  3. 03

    Catalogue ads scale range without scaling effort

    Dynamic product ads kept a wide fashion range in front of the right shoppers

  4. 04

    Report the blend, not just the peak

    A 4.20x month is only meaningful next to the 3.38x average across the full period

This account shows that a reliable way to grow an eCommerce brand on Meta is a steady always-on engine, with every sale given its own campaign and its own result.

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