Case Study9 min read

How We Increased ROAS by 4.3×

A complete breakdown of the account structure, creative system, and landing page changes that moved ROAS from 1.1× to 4.3× in just 11 weeks of structured iteration.

DevScale MediaGrowth Team

Norse Apparel came to us with a 1.1× ROAS, a fragmented account structure, and a creative library that had not been refreshed in four months. Eleven weeks later, their ROAS was 3.8× and revenue had grown 246%. This is the complete breakdown of every change we made.

Week 1–2: The Full Account Audit

We always diagnose before prescribing. The Norse Apparel account had 34 active ad sets, 12 of which were spending less than $5/day — well below the threshold needed to exit Meta's learning phase. The remaining budget was concentrated on three ad sets running the same creative since October. Frequency had reached 4.2× in the last 7 days. Conversion rate was 0.4% against an industry benchmark of 1.8%.

Audit scorecard

  • Account structure: 3/10 — too fragmented, no ad set had enough spend to optimize
  • Creative: 2/10 — no rotation, 4.2× frequency, zero hook variation
  • Pixel: 7/10 — solid, purchase events firing correctly with deduplication
  • Post-click: 4/10 — all traffic sent to homepage, no dedicated landing pages
  • Attribution: 5/10 — significant over-reporting on 7-day click window

Week 3–5: Rebuilding the Account Structure

We archived 29 of 34 ad sets and rebuilt around three campaigns: cold prospecting (Advantage+ Shopping), warm retargeting (manual placements, 7-day window), and retention (existing customers, 90-day window). Each campaign had one objective, one clearly-sized budget, and a defined role in the funnel. Total campaign count went from 12 to 3.

The creative system we installed

We launched 8 new creatives in week three: 4 static images with different problem-aware hooks, 2 short-form UGC videos (15 seconds), and 2 carousel formats. Each was tagged in our tracking system by hook type, format, offer, and concept. We killed any creative below 1.5% CTR by day 5 — no exceptions.

Week 6–11: Scaling What the Data Confirmed

By week six, two creatives had separated from the pack: a static "before/after" with a problem-aware hook, and a 15-second UGC video with a social proof hook. Both held CTR above 2.2%. We scaled budget on these two by 40%, duplicated them with minor hook variations, and began testing the next concept batch in parallel. By week eleven, ROAS was 3.8×, revenue was up 246%, and we had a repeatable creative playbook for Q3.

Three agencies before DevScale — none could explain their own reporting. Week one, they had a live dashboard showing every creative, every ROAS, every placement. — Bilal Ahmad, CMO, Norse Apparel

Key Takeaways From This Engagement

  • Consolidate before you scale. Five healthy ad sets beat 34 fragmented ones every time.
  • Creative velocity is your moat. Eight new creatives per week, kill at day 5 with no emotional attachment.
  • Landing pages are not optional. Dedicated post-click pages outperformed the homepage by 3.1× in this account.
  • Track at the creative element level — not campaign level — so iteration has direction.
  • Agree on a CAC ceiling before the first dollar is spent. It becomes your optimization north star.

Frequently Asked Questions

How long does it take to see results from a Meta Ads restructure?

Most accounts show improvement in CPM and CTR within the first 2 weeks of restructuring. Meaningful ROAS improvement typically appears at weeks 4–6, once new creatives exit the learning phase and enough purchase event data has accumulated.

What is the minimum ad spend needed for Meta Ads to work?

We recommend a minimum of $2,500/month in ad spend. Below that, the algorithm rarely gets enough weekly purchase events to exit the learning phase consistently, which means optimization is essentially stalled.

Can you improve an existing account or do you start from scratch?

Both. We assess the account in week one and decide whether to rebuild or restructure based on historical data quality and pixel health. In most cases, we retain the pixel history and restructure rather than starting fresh — pixel data is a hard-won asset.

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