Scaling a leading Pakistani western fashion retailer — without spending more.
Challenge
Fragmented campaign architecture. Prospecting was split across many category-level campaigns, scattering conversion signal and slowing the learning phase.
Over-reliance on automated placements. Advantage+ / ASC campaigns absorbed budget without consistently outperforming structured alternatives.
Full-price and sale traffic competing. Discount-led and full-price campaigns bid against each other, eroding full-price margin.
Underused first-party data. Customer lists and value signals weren't fed back into acquisition systematically.
Budget allocation by habit. Spend followed historical channel splits rather than current marginal return.
Situation
A leading Pakistani western fashion retailer. As its performance marketing lead I own the paid acquisition engine behind e-commerce revenue across Meta, Google, TikTok and Snapchat, directing multi-million monthly investment against commercial targets — and partnering with e-commerce, brand and creative stakeholders to turn those targets into channel-level plans.
Strategy
A structured review of campaign structure and performance to establish what was actually driving return — not what was assumed to be. Every structural change that followed came out of this analysis.
Execution
Broad + value-based prospecting
Replaced category-split dynamic prospecting, concentrating conversion signal into fewer, better-fed campaigns.
First-party lists
List-based campaigns built on customer data consistently outperformed automated category-level prospecting.
Dual-track full-price / sale
Full-price and sale campaigns split so discount traffic stopped cannibalizing full-price margin.
Media mix
Four channels, one rule: budget follows current marginal return — not last year's split.
Optimization
Cross-channel reallocation. Budget shifted continuously across Meta, Google, TikTok and Snapchat toward the highest marginal return.
Creative rotation and targeting. Restructured account architecture, targeting and creative rotation drove the ROAS lift.
Team & reporting cadence. Channel ownership and performance standards across the team, with reporting that turns campaign data into commercial decisions.
Retention support. Seasonal collections scaled with full-funnel strategies, backed by email automation and remarketing.
Results
Cleaner attribution and faster learning phases from consolidated campaign structure.
Protected full-price margin by separating sale and full-price demand.
A repeatable operating model — a structure and reporting cadence the team runs season after season.
Key learnings
"Treat a retail account as a commercial P&L, not a set of channels. The biggest gains came from restructuring signal and separating demand types — not from spending more."
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