Structured Testing Phase (Month 1)
Spent the majority of Month 1 budget on rigorous testing across different demographics, cities, and interests — letting data guide every future decision.
Growth Stages
Market Segments
Strategy & Testing
Data-driven first month of ad testing
Lookalike Targeting
Expanding reach to similar high-intent buyers
Dynamic Product Ads
Personalised product recommendations
Retargeting
Cart abandonment recovery & re-engagement
Client Overview
- Industry
Foot Wear - Platform
Shopify - Market
United Kingdom - Business Model
Private Label (Multi-SKU Portfolio)
Primary Obstacle
The Challenge
Unsustainable 3.5x ROAS
The brand's existing ROAS left insufficient margin for reinvestment and growth — they needed a significant uplift to scale profitably.
Wasted Ad Spend
No structured testing had been done to identify which age groups, cities, or interest segments were actually converting.
High Cart Abandonment
Significant revenue was being lost to users who added products to cart but never completed their purchase.
Clear Plan
The Strategy
Age & City-Level Targeting
Analysis revealed 18–35 age group and specific major cities had the highest conversion rates. Campaigns were then laser-focused on these segments.
Lookalike Audience Expansion
Built lookalike audiences from existing buyers to reach new customers who matched the behavioural profile of those most likely to purchase.
Dynamic Product Ads
Implemented personalised DPA campaigns showing users the exact products they previously browsed, dramatically improving relevance and conversion rates.
Cart Abandonment Retargeting
Set up dedicated retargeting campaigns specifically targeting cart abandoners to recover lost sales and improve overall conversion rate.
Budget Optimisation Post-Testing
After Month 1 data analysis, reallocated budget entirely toward top-performing audiences, cities, and ad sets to maximise ROAS at scale.
Work Process
Project Timeline
A structured approach ensure transparency and timely delivery
1Audit & Discovery
Reviewed existing campaigns, audiences and creative performance
2Testing Phase
Broad testing across demographics, interests and cities
3Data Analysis
Identified winning age groups, locations and segments
4Scale & Optimise
Lookalike + DPA + Retargeting campaigns launched
5Performance Review
Continuous KPI monitoring and campaign refinement
Measured outcomes from a structured portfolio turnaround
Impact & Growth
0x
ROAS Achieved
Up from 3.5x baseline
$0k
Revenue Generated
In just 2 months
0%
ROAS Improvement
3.5x → 8.3x
Testimonials
What Our Clients Say About Us
Highly recommended for anyone seeking marketing excellence for their eCommerce brand. Jamshaid and the team demonstrated exceptional patience and dedication throughout the process. Thank you for your outstanding service!
Claire Sutton
Shoe Brand OwnerInsights
Professional Insights
- Spending Month 1 primarily on testing is not wasted budget — it's the foundation that makes scaling possible and profitable.
- City-level targeting for fashion brands can dramatically improve ROAS — urban concentrations correlate strongly with fashion intent and disposable income.
- Lookalike audiences built from actual buyers consistently outperform cold interest-based audiences for fashion e-commerce.
- Dynamic Product Ads are non-negotiable for any product catalogue store — personalised recommendations convert significantly better than generic creatives.
- Cart abandonment retargeting is often the highest-ROAS campaign in any e-commerce account — it's low-hanging fruit that many brands leave uncaptured.
- Facebook Ads remain one of the most powerful channels for fashion brands when audience structure and creative strategy are properly aligned.
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