UNIQLO Vietnam × Bespoke Marketing

From fragmented spend to incremental growth: rebuilding enterprise SEM for durable ROAS

NDA note: Performance figures and specific values in this article are adjusted to honor confidentiality. The methods and operating model are unchanged.

Executive summary

UNIQLO’s digital presence in Vietnam was strong, but paid search efficiency lagged the brand’s scale. The core issue was not a lack of media investment; it was signal quality and structural complexity. By normalizing measurement, consolidating account architecture, and deploying a “precision demand capture + intelligent prospecting” model, the program (illustratively) increased ROAS by triple digits, reduced cost on competitive generic queries, and lifted the share of new customers.

The starting point

• Signal noise. GA4 and Google Ads were not aligned; Enhanced Conversions and Consent Mode v2 were not fully implemented. Micro-conversions were mixed with primary signals, confusing automated bidding.

• Structural sprawl. Campaigns were fragmented, causing cannibalization between brand and generic and starving high-potential terms of budget.

• Feed and creative gaps. Shopping titles were not feature-first; GTIN coverage was incomplete. RSA assets were broad rather than intent-specific.

• Experience friction. Mobile performance missed Core Web Vitals targets, depressing conversion rates.

The intervention

1. Data and measurement

   • GA4 e-commerce rebuilt with Enhanced Conversions and Consent Mode v2.

   • Primary conversions (purchase, revenue, new-customer flag) separated from micro events (observe-only).

   • Clean taxonomy and naming, enabling reliable DDA and LTV analysis.

2. Account architecture

   • Brand budgets isolated; Generic/Category/Feature rebuilt using STAG logic.

   • Broad Match used with shared negative lists and exact-match anchors to guard intent.

   • RSA pinning by value proposition (fabric, fit, UV protection, seasonality).

3. Performance Max and Shopping

   • Asset groups by category (e.g., AIRism, HEATTECH, UV Cut) with audience signals from GA4/CRM/LTV.

   • Feed modernization: feature-first product titles [Category] [Key Fabric/Feature] [Fit/Gender] [Color], full GTIN/MPN, Merchant Promotions, and price-competitiveness monitoring.

4. Creative and experience

   • YouTube for Action sequencing (Reach → Engage → Action) with frequency caps and brand safety.

   • Landing pages tuned to LCP < 2.5s and INP < 200 ms; bundle logic and promotional badges synchronized with the feed.

5. Budgeting and governance

   • Portfolio tROAS with margin guardrails by category.

   • Allocation by marginal ROAS and lost impression share.

   • Weekly SQR and experiment cadence (geo split; PMax vs. Search-only).

Illustrative outcomes (NDA-adjusted)

• ROAS +136% vs. pre-engagement baseline.

• Cost per click/transaction −~28% on competitive generic clusters.

• Non-brand revenue share +19pp and new-customer rate +14%.

• Lost IS (budget) down materially across ten core terms.

What leaders can learn

• Consolidation is a growth lever. Simplifying the structure often outperforms adding more campaigns.

• Feed quality is strategy. Half of Shopping/PMax performance is decided by titles, GTINs, and promotions.

• Guardrails matter. Broad Match and PMax work when the business defines margin boundaries and prioritizes new-customer growth.

• Speed compounds. Hitting CWV targets is not vanity; it shifts both ad rank and conversion rate.

The operating cadence we leave behind

A durable rhythm—weekly steerco, monthly business reviews, quarterly strategy resets—keeps data clean, budgets disciplined, and experiments compounding. That is how performance scales with the brand, not against it.