Home Decor

A premium home decor brand came to us with an established product, a recognizable visual identity, and Meta Ads that were already generating sales. The problem was efficiency.

ROAS was sitting at 2.87x, cost per purchase was around $80, and the account had no consistent system for deciding which creatives deserved more budget.

After rebuilding the account structure, fixing tracking, changing the creative approach, and concentrating spend on higher-value products, Meta Ads reached a 5.50x ROAS while monthly revenue grew from approximately $4,239 to $47,500.

The client’s story

The client sells premium decorative vases with a distinctive design style and an existing customer base.

There was already demand for the product, and Meta Ads had produced purchases before we became involved. The account simply had very little structure behind those results.

Some creatives worked, others did not, and there was no reliable process for turning a successful test into a campaign that could take more budget. Tracking problems also made performance harder to evaluate accurately.

The goal was to create a Meta Ads setup that could support significantly more spend while keeping acquisition profitable.

The starting point

From February 1 to April 17, 2026, the account spent $3,691.26 and generated $10,598.48 in purchase conversion value.

That came from 46 purchases at an average cost per purchase of approximately $80.24 and an account-level ROAS of 2.87x.

Several issues were limiting the next stage of growth.

Creative testing had no defined process. New ads could be launched, but there was no consistent framework for deciding when a creative had passed the test, when it should be stopped, or when it was ready for additional budget.

Tracking and attribution also needed attention. Without reliable purchase data, campaign decisions could easily be based on an incomplete picture of performance.

The product strategy created another constraint. Paid traffic was distributed across products with different order values, which meant the account could generate a sale without necessarily generating enough revenue from that sale to support aggressive acquisition.

Creative direction was the final major piece. The product was highly visual, yet video had not been developed into a repeatable advertising format with clear concepts, angles, and testing cycles.

The growth method

Rebuilding the campaign structure

We reorganized the Meta Ads account, so campaigns had clearly defined jobs.

Prospecting campaigns could focus on reaching new customers. Creative tests had their own controlled environment. Ads that had already produced enough evidence could move into scaling campaigns without mixing early experiments with proven performers.

This gave the media buyer much cleaner information. A weak test could be stopped before consuming unnecessary budget, while a successful creative had a clear path toward higher spend.

Fixing tracking and attribution

Before increasing budgets, we addressed the analytics issues affecting purchase attribution.

The team needed to know which campaigns and creatives were actually generating sales and how much revenue those purchases represented. Once the tracking setup was cleaned up, campaign decisions could be based on purchase value, ROAS, and cost per purchase with much greater confidence.

That became especially important as daily budgets began increasing.

Building a video-led creative system

Creative strategy became one of the biggest changes in the account.

We developed more video concepts around the product itself, its visual appeal, and the way it fits into a customer’s space. The goal was to give potential buyers more context than a static product image could provide.

The team also created a repeatable testing workflow around those concepts. New variations could be tested, evaluated against the same performance criteria, and either stopped or moved into scaling.

One of those video-focused campaigns became the strongest campaign in the account during the measured period.

It generated 120 purchases, $42,184.60 in purchase conversion value, and a 7.30x ROAS.

Prioritizing higher-value products

We reviewed the catalog with paid acquisition economics in mind.

Products with stronger average order values received more attention because each conversion could generate more revenue without requiring the account to acquire proportionally more customers.

This changed how budget was distributed across the catalog and gave successful campaigns more room to absorb higher acquisition costs while staying profitable.

Turning tests into scalable campaigns

Creative testing only becomes useful when the results change what happens next.

Each new concept entered the account with a defined test budget. Performance was evaluated early, and ads that demonstrated strong purchase efficiency were moved into campaigns where spend could increase.

Budgets were then raised in controlled increments while ROAS and cost per purchase were monitored.

We also relaunched previously promising advertising with a stronger setup. Those campaigns produced another 95 purchases at a 4.28x ROAS, generating $20,668 in purchase conversion value.

Scaling results

The difference became clear during the May 1 to June 20 reporting period.

Meta Ads spend reached $14,411.94, compared with $3,691.26 during the earlier period.

That increased spend generated $79,212.76 in purchase conversion value and 266 purchases.

ROAS increased from 2.87x to 5.50x, an improvement of approximately 92%, even as the account was taking substantially more budget.

Cost per purchase moved in the opposite direction, falling from approximately $80.24 to $54.18, a reduction of roughly 32%.

Because the two reporting periods cover different numbers of days, monthly averages give a clearer view of the change.

Before the restructure

February 1 – April 17, 2026

• Monthly ad spend: approximately $1,476
• Monthly purchase revenue: approximately $4,239
• Monthly purchases: approximately 18
• ROAS: 2.87x
• Cost per purchase: approximately $80

Meta Ads performance before the restructure, showing 46 purchases, $10,598.48 in purchase conversion value, and a 2.87x ROAS during the full reporting period.

After the restructure

May 1 – June 20, 2026

• Monthly ad spend: approximately $8,647
• Monthly purchase revenue: approximately $47,500
• Monthly purchases: approximately 160
• ROAS: 5.50x
• Cost per purchase: approximately $54

Meta Ads performance after the restructure, showing 266 purchases, $79,212.76 in purchase conversion value, and a 5.50x ROAS during the full reporting period.

Monthly spend increased by almost 5.9x.

During the same period, normalized monthly purchase revenue increased by approximately 11.2x, while monthly purchase volume grew from roughly 18 orders to around 160.

The account was able to take substantially more budget while producing better efficiency at the same time.

What made the difference

The strongest lesson from this account came from the relationship between creative, product economics, and campaign structure.

Video-led storytelling produced the best campaign result in the account, with the top campaign reaching a 7.30x ROAS and generating more than $42,000 in purchase value.

Accurate tracking gave the team enough confidence to act on those results. Once a creative proved itself, it could receive more budget quickly without relying on assumptions about what was working.

Catalog decisions mattered too. Sending a larger share of paid traffic toward higher-value products increased the revenue available from each successful acquisition.

The testing process connected all of those pieces. Creative ideas entered the account as controlled experiments, and the strongest performers had a defined route into scaling.

The result

Within the measured post-restructure period, Meta Ads generated:

• 266 purchases
• $79,212.76 in purchase conversion value
• 5.50x account ROAS
• $54.18 average cost per purchase

The top video campaign alone contributed 120 purchases and $42,184.60 in revenue at a 7.30x ROAS.

The account moved from spending roughly $1,500 per month at 2.87x ROAS to supporting more than $8,600 in normalized monthly spend at 5.50x ROAS.

That gave the brand something it had been missing at the start of the project: a repeatable process for testing new advertising ideas, identifying what customers respond to, and putting more budget behind the ads that prove they can generate profitable sales.

Looking to scale an e-commerce brand through Meta Ads? UM helps Shopify brands build paid social systems around reliable tracking, creative testing, and profitable acquisition.

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