Case study
L
Linen & Co
Home & decor·PrestaShop + Shopify

Consolidate 3 stores in a single dashboard

From fragmented management across 3 interfaces to unified multi-store steering: consolidated profit, cross-store comparison and common customer detection.

3
Stores unified
-12h
Monthly reporting saved
+24%
Consolidated profit
2 months
Project duration

Context

Linen & Co is a French premium home linen brand that sells direct via three distinct stores: a historical PrestaShop store (France and Belgium), an international Shopify store (English-speaking Europe and USA) and a B2B PrestaShop store for hotels and guest houses. Consolidated revenue reaches 310,000 euros monthly.

Each store has its own products, stock, ad campaigns and pricing catalog. Historically, the team runs each store separately with separate reports, then consolidates manually in a Google Sheet every Friday afternoon.

The challenge

Weekly consolidation takes about 3 hours for the admin lead and enables no cross analysis. It's impossible to answer essential questions: which products are most profitable across all stores? Which customers buy from multiple stores? What is the true consolidated LTV?

Stock is also managed separately, creating unnecessary stockouts: a product may be out of stock on the French store while the B2B store still has inventory. And Meta Ads campaigns sometimes target the same customers from three different ad accounts, wasting budget.

The founder wants unified steering without merging the stores (each has its legal and commercial rationale) and without migrating platforms.

The Fullmetrix solution

Linen & Co connects all 3 stores into a single Fullmetrix organization: 2 PrestaShop connections via the official module and 1 Shopify connection via the app. The 3-year history syncs in under 4 hours.

The multi-store dashboard instantly shows the consolidated P&L with each store's contribution. The Comparison view benchmarks the 3 stores on the same KPIs (AOV, return rate, net margin, repurchase rate). The unified Customer view detects 1,420 customers buying from at least 2 stores, revealing untapped cross-sell potential.

RFM segments are calculated globally (on the consolidated base) then synced to the 3 Meta Ads accounts, with cross-exclusion: B2B store customers are excluded from B2C campaigns to avoid ad duplication.

The results

Automated reporting

The weekly 3-hour consolidation every Friday is fully automated. The team saves about 12 hours per month and can focus on analysis instead of data collection.

Consolidated profit +24%

Consolidated net profit grows 24% in 2 months thanks to three optimizations enabled by the unified view: ad duplication cleanup, stock reallocation between stores, and cross-sell on the 1,420 common customers.

1,420 cross-store customers

Automatic detection of customers present on multiple stores reveals a premium segment that was previously invisible, generating 2.8x higher average LTV than single-store customers.

Refined per-store strategy

Cross-store benchmarking reveals the B2B store has 9 points higher net margin than B2C stores, steering marketing investments toward this more profitable channel.

« We had 3 stores and 3 different pairs of glasses to look at them. Fullmetrix gives us a single consolidated view without having to change our setup. On Friday afternoons, we analyze instead of copy-pasting into a spreadsheet. »

H
Hélène D.
Founder, Linen & Co

This case study is an illustrative example based on results observed with our users. Numbers are realistic but anonymized.

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