METRO

Metro 2.0 is a strategic initiative by METRO to transform its offline retail strengths—such as personalized recommendations, volume-based discounts (BMPL), and social proof—into a successful online business model. This digital transformation enhances the data-driven approach with AL/ML learning & AB testing improves customer experience, increases sales, and strengthens brand loyalty.

Results:
-A 4.17% increase in purchases and 3.02% higher revenue among new users exposed to private label brands recommendations.

BMPL Impact:
-1.65% increase in average order size;
-3.81% growth in purchase volume.

2.5% more purchases and 3.58% higher ARPU (average revenue per user) with social proof tactics.
10% less churn.

First-Impression Advantage: New users unfamiliar with METRO’s assortment discovered own brands organically, reducing reliance on external marketing.
Higher Margins: Private label & BMPL products typically yield better profitability than third-party brands.
Trust Over Information: Prioritized peer validation (reviews) over technical details, aligning with how users make decision.

Metro 2.0 is a digital transformation initiative that bridges METRO’s offline strengths—private label appeal, bulk discounts (BMPL), and trust-building—into online retail:
+4.17% Metro brand sales lift among new users
+1.65% larger baskets via BMPL
+3.58% ARPU growth
Key innovations include cross-category discovery, volume-based discounts, and social proofs. The results highlight METRO’s ability to digitize wholesale advantages while enhancing margins and loyalty.