Globalist GmbH  ·  Case Study — Performance Marketing
01.01. – 29.04.2025 vs. 2026

Spend doubled. Meta Revenue +152 %. ROAS +26 %. The biggest scaling leap in the brand's history — without burning efficiency.

Channels
Meta · SEA · Omni-Channel
Attribution Stack
KLAR · CM3 · Meta CAPI · Shopify · GA4
Main Comparison · Meta 01.01. – 29.04.2025 vs. 2026
2×
Spend (Doubled)
+152 %
Meta Revenue
+103 %
Conversions / Purchases
+26 %
ROAS
Product World · Gallery considered · design-oriented · durable · sustainable
nordesign — side table, cup, croissant01
nordesign — dish soap & hand soap in the kitchen02
nordesign — set with dish brush, sponge cloth, hand soap03
nordesign — Complete Studio Set (white)04
nordesign — Complete Studio Set (beige)05
01

The Brand

Glass, wood, stainless steel, cotton, recyclable plastics — instead of cheap plastic.

The brand transforms everyday household products — dish soap, sponges, sink organisers, sponge holders, kitchen towels, dispensing bottles — into what most people have secretly always wanted: considered, design-oriented, durable, sustainable. Glass, wood, stainless steel, cotton, recyclable plastics instead of cheap plastic.

The assortment strikes a small but very loyal nerve: a young, design-savvy DACH audience that sees its home as its identity and is willing to pay for function plus aesthetics. 4.8 stars from over 4,300 reviews, plus listings at dm, Müller, BIO COMPANY, Edeka, and Rewe — the brand has long since ceased to operate only D2C, but omnichannel.

It is precisely this narrow target group that is both a strength and a brake. It makes the brand distinct — but it forces performance scaling to be much cleverer than a standard DTC setup.

nordesign — Complete Studio Set
nordesign Studio · DACH
02

The Challenge

First establish a profit baseline. Then scale.

When nordesign started with Globalist in April 2025, Meta was in a state that every experienced performance marketer will immediately recognize:

  • Over-fragmented account structure. An excessively granular test and campaign setup had cannibalized the algorithm learning phases. Auction pressure inward instead of outward.
  • Flattened performance curve. ROAS below 1.5 at the start — the setup was working against itself.
  • Reach ceiling. The highly specific interior/living target audience was already exhausted on standard targeting. Frequency rose without the top of the funnel broadening.
  • Attribution gap. Without a clean single source of truth, optimisation in the worst case was based on Meta reporting — not on actual contribution margin.
  • Seasonality untapped. Q4 and Black Friday historically ran like a normal month — without eventisation, without an early-access mechanism.
03

The Strategy — Meta

Meta is not a channel, but a lever within the Globalist omni-channel system.

We do not think of Meta as a channel, but as a lever within the Globalist omni-channel system. In concrete terms: every decision in the ad account is measured against the real contribution margin (CM3), not against the platform's own attribution. Data warehousing via third-party tools is the non-negotiable control foundation — identical to the SEA setup — so that Paid Search and Paid Social work from the same source of truth.

Based on this foundation, the strategy rested on four main pillars:

  • Structural reset before every scaling attempt. We deliberately narrowed the account, consolidated learning signals and moved the test logic from the micro into the macro layer. Fewer ad sets, clearer hypotheses, cleaner auction mechanics.
  • Full-funnel creative instead of platform creative. nordesign produces excellent content in-house. Our task was to transfer that material into a real funnel logic — TOFU hooks for cold reach, MOFU listicles and bundle frames for conversion, BOFU repurposing via retention channels. Creative is the actual reach lever here, not the targeting setting.
  • Reach through partnerships instead of targeting tricks. Because the standard DACH interior target audience was exhausted, we set up Partnership Ads as a systematic second channel — not as a one-off, but as an ongoing pillar with its own creative test cycle. This gained reach that was organically and socially pre-qualified, which directly impacted click quality and CM3. Beyond paid strategies, creator seeding systems were also applied to ensure long-term benefit.
  • Tier logic in the product portfolio. Instead of pushing the entire range equally, products were divided into performance tiers. Top runners ran on margin-optimised scaling campaigns. Tier-2 products received their own listicles to systematically scale them into Tier 1. Low runners were incorporated into bundle logic that raises AOV and lets new customers enter with higher downstream profitability.
04

The Execution — Meta

Profit baseline in 60 days — only after that was the budget scaled for the very first time.

Profit baseline in 60 days

Within the first two months after launch, account performance was brought back from a flattened state to a sustainable profit baseline. Only then was the budget scaled for the very first time. This order is not trivial — it is the reason why the subsequent scaling did not destroy efficiency.

Campaign Architecture

Stack of DACH scaling campaign, testing setup with fixed creative cycle, partnership testing line, offer test campaign, as well as seasonal peaks and structured sale events. Every campaign has a clear role in the funnel, no adset exists just because 'it ran once'.

Black Friday as an Event

For the first time in the brand's history, the Black Friday phase was set up as a tiered mechanism — including early access lead forms and product launches that built qualified buyer cohorts in the run-up phase, and staggered 'Last Call' logic towards the end of the sale window.

Creative Testing Cycle

Fixed test windows per creative wave, same rhythm as SEA. Content from partnerships was counter-tested and ranked on CM3 performance — not merely on CTR or ROAS in Meta reporting.

New Customer Acquisition with Bundle Logic

New customer bundles were tied in such a way that the AOV in the initial purchase is higher and the LTV curve sets in faster. That is the lever that raises the AOV in Meta reporting in the comparison period by around a quarter — and in shop-wide reporting by even almost a third.

05

The Results — Meta

Volume grows disproportionately to spend — efficiency increases despite scaling.

Main Comparison · Jan 1st – Apr 29th, 2025 vs. 2026

Metric
Change
Significance
Meta Spend
+ approx. 100 %
Doubling of budget utilisation
Meta-attributed Revenue
+ approx. 152 %
Volume grows disproportionately to spend
Conversions / Purchases
+ approx. 103 %
Almost doubling of orders from Meta
ROAS
+ approx. 26 %
Efficiency increases despite scaling
CPA
slightly decreased
Stable at double the volume — a clear signal of clean scaling
AOV (Meta-attributed)
+ approx. 24 %
Bundle and tier logic impact directly
Add-to-Cart
+ approx. 220 %
Top-of-funnel entry significantly broader
Initiate Checkout
+ approx. 202 %
Purchase intent converting more strongly

Medium-term Trend · Meta · 7-Month View (Q4 + following months)

The expanded comparison (October to April over two years) shows that the improvement is not a quarterly effect, but a structural shift:

+141 %
Meta Spend
+184 %
Meta Revenue
+116 %
Conversions
+17 %
ROAS

Black Friday · Peak under Full Load · Nov 15th – Dec 5th

The eventized BF mechanism not only survived the scaling but actually slightly increased efficiency:

Spotlight · Black Friday 15.11. – 05.12.
+402 %
Revenue
+366 %
Spend
+263 %
Purchases
+8 %
ROAS vs. Prior-Year BF
06

SEA — Main Services

KLAR as single source of truth — and a fully restructured PMax stack.

Strategy and Attribution

  • KLAR introduced as single source of truth and made the primary control basis for all performance decisions
  • Gradual reduction of target ROAS with simultaneous budget scaling once KLAR data confirms profitability
  • Country-specific management for DE / AT / CH with individual ROAS corridors and automatic budget reallocation

Campaigns and Scaling

  • Full PMax stack restructured from scratch (Brand, Profitable, Zero-Conversion / Zombie, Listicle, Lead Gen)
  • Demand-Gen campaign "Meta Top Performer" established as main scaling channel, with a fixed 10–14 day creative test cycle
  • Wohnwürfel pre-sale, Easter Sale and Spring Cleaning bundle prepared and activated as seasonal campaign promotions
  • Specialist campaigns set up for niche products (dish brushes, coconut sponges, sponge holders, wall hooks, glass coasters, kitchen towels)

Feed, Tracking and Operations

  • Channel Pilot Next taken live as master feed management, including resolution of duplicate issues
  • Shopping image A/B test with two manual sheet feeds (product photo vs. lifestyle) as a structured learning system
  • Merchant Center fully cleaned up ("spring clean") and title optimisations interlocked with Shopping A/B tests
  • Negative keyword strategy switched to phrase-match logic, Brand Shopping protected from negative exhaustion
  • Klaviyo integration activated and audience sync taken live
  • AI MAX strategy and listicle logic established for scalable search and Demand Gen campaigns

Management and Reporting

  • Weekly rhythm introduced with performance update, action items and automated ROAS alerts
  • Looker Studio dashboard and KLAR data as the central reporting hub
  • Bi-weekly Google Growth Team Call with nordesign facilitated and strategically evaluated
07

The Results — SEA

Scaling with stable efficiency — same efficiency at triple the volume.

Main Comparison · Jan 1st – Apr 29th, 2025 vs. 2026

Metric
Trend
Conversion Value (Revenue from SEA)
increased by nearly +200 percent year-on-year (almost tripled)
Conversions
grew by around +123 percent year-on-year
Spend
significantly increased (nearly +200 percent), ROAS held almost constant — same efficiency at triple the volume
Click Volume
around +180 percent year-on-year (tripling)
CTR
improved by around +18 percent year-on-year

Medium-term Trend · SEA · 7-Month View (Q4 + following months)

+233 %
Revenue from SEA
+153 %
Conversion Volume

ROAS slightly above the previous year's level.

08

Omni-Channel View

Globalist's Reporting Layer — the impact flows through to the overall shop picture.

Because we do not operate Meta in isolation, but embedded in the Globalists omnichannel system, Meta performance impacts the overall shop picture. In the same comparison period:

+196 %
Gross Revenue Shop
+124 %
Orders
+55 %
Shop Conversion Rate
+31 %
AOV Shop-wide

Meta has become stronger not only in Meta reporting, but in the entire customer journey — including existing customer reactivation via the LTV curve.

09

Holistic Conclusion

Media buying was the executor, not the architect.

This case is not a media-buying case. Media buying was the executor, not the architect.

What really happened here: A brand with clear product-market fit and a narrow, high-quality target audience was transferred from a fragmented, under-scaled account structure into a system where creative, funnel, attribution, seasonality, partnership reach, and product portfolio work together in one direction. The Meta machine gets cleaner signals, the auction gets clearer hypotheses, the shop gets higher AOVs, the LTV curve gets faster-starting repeat purchases.

That is exactly why the numbers do not act in isolation, but in every reporting layer simultaneously: in Meta itself, in CM3 control, in overall shop revenue, in the returning customer rate, in the cross-channel interaction with SEA.

At nordesign, that is exactly what it has become.

For us, performance marketing is not a channel. It is the operational discipline in which a well-built e-commerce ecosystem first becomes visible.
Globalist — Holistic Conclusion

Become our next case.

Strategy Call
Globalist GmbH Performance Marketing Agency Case Study: nordesign × Globalist · Q1 2026