Case Study · Multiple Shopify DTC Brands

Multi-store Shopify DTC scaling: 6 brands, 4-figure ROAS each

Six Shopify stores, simultaneous management. Paid media + store ops + product-level ROAS optimization across fashion, lifestyle, and consumer product categories.

Industry:Shopify DTC

Channels:Meta Ads · TikTok Ads

Timeline:12 months · Multiple brands

Stores managed

3 categories

Fashion · Lifestyle · Consumer

2.4×–3.8×

ROAS range across stores

The Engagement

Who they are.

Six DTC brands across fashion, lifestyle, and consumer-product verticals. End-to-end Shopify store management plus paid media. product listing, pricing strategy, ad creative direction, audience targeting, and conversion optimization. The first paid-media engagement that built foundational expertise across the full DTC customer journey.

Meta Ads campaigns running across 6 simultaneous DTC brands

The Challenge

The starting point.

Manage paid media and store operations across 6 Shopify brands simultaneously, each with different products, audiences, margin profiles, and growth stages. Some were brand-new launches with no pixel data; others were scaling brands with existing audiences. The discipline of running 6 stores at once forced systematic thinking. what worked across brands vs what was brand-specific.

Constraint 1: Six concurrent brands at different growth stages

Constraint 2: Each store had distinct unit economics. no one-size playbook

Constraint 3: Limited budget per brand meant prioritization had to be sharp

The Strategy

What we actually did.

Three operational principles that let us run 6 brands without each one becoming a fire drill.

Standardized creative testing framework across brands

Same testing structure (3-5 angles, weekly kill/scale decisions, monthly creative refresh) applied across all 6 brands. Standardization meant cross-brand learnings: a hook angle that worked for one fashion store could be tested in another store the next week.

Product-level ROAS tracking, not store-level

Most agencies track store-level ROAS and miss the product mix story. We tracked product-level ROAS. sometimes 80% of profit came from 20% of SKUs. Budget got reallocated to those SKUs across brands; underperforming SKUs got paused regardless of which store they belonged to.

End-to-end customer journey ownership per brand

Not just ads. also product page optimization, checkout flow refinements, cart-abandonment sequences. The biggest gains often came from fixing the conversion experience, not the ads themselves.

TikTok Ads creative testing layer for DTC product discovery

Results

The transformation.

Built foundational understanding of DTC unit economics across categories. ROAS range across stores: 2.4×–3.8×. The systematic approach to multi-brand management became the template for every later DTC engagement, including Glowrish Pharma's 4.6× launch.

6 simultaneously

Brands managed

Fashion · lifestyle · consumer products.

2.4×–3.8×

ROAS range

Across the portfolio. variance reflects different unit economics.

8–12

Average creatives tested per brand per month

Standardized framework across all 6.

Recurring

Product-level optimization wins

Often 80% of profit came from 20% of SKUs. budget rebalanced accordingly.

What we'd do next

The next chapter.

For any new DTC engagement, this multi-brand experience informs faster diagnosis: which SKUs to lead with, which audiences to seed, which channel to prioritize first. The systematic 12-creative-monthly testing framework that powered Glowrish was built here.