Client Type: Fashion E-commerce (Casual Wear)
Campaign Period: May 7 β June 3, 2025
Platform: Facebook Ads
Objective: Website Purchases
Total Orders: 1,620
Total Reach: 1.87 million+
Total Spend: $1,124.84
Average Cost Per Purchase: $0.69
Key Products: Drop Shoulder T-Shirts, Rib Polo Shirts
Seasons Covered: Pre-Eid Shopping Rush
π― βSee You After Eid!β β But Not Before We Delivered 1,620 Sales
As Eid approached, fashion buyers across the country turned to online stores for fresh, affordable, and stylish outfits. Our job?
Position the right products (Drop Shoulder & Polo Shirts) to the right audience, with irresistible offers β before the Eid window closed.
π¬ βΰ¦ΰ¦¦ΰ§ΰ¦° ΰ¦ͺরৠদΰ§ΰ¦ΰ¦Ύ হবΰ§!β β but not before we helped one of our clients dominate the men’s fashion segment this season.
πΈ Campaign Performance Snapshot
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- Total Orders: 1,620
- Average CPA: $0.69
- Reach: 1.87M+
- Impressions: 2.36M+
- Total Spent: $1,124.84
- Top-performing product types: Drop Shoulder, Rib Polo
π οΈ What We Did
β 1. Multi-Campaign Strategy
We ran 31 separate ad campaigns, each targeting:
- Different product angles (color, lifestyle, basic display)
- Audience splits (age, interest, behavior-based)
- Pricing variants (BDT 850β1,550 range)
This allowed us to test fast and scale only what worked.
β 2. Pre-Eid Offer Design
We helped the client prepare an Eid-specific offer structure:
- βEid Delivery Guaranteedβ tag
- Combo pricing (Buy 2, Save More)
- Clear size chart & fast checkout flow
β 3. Smart Budget Allocation
Daily budgets ranged from $5 to $20 per campaign. We scaled ad sets based on performance and kept average CPO under $0.70, despite high competition in the season.
π Summary of Results
Metric | Value |
---|---|
Website Purchases | 1,620 |
Total Spend | $1,124.84 |
Avg. Cost Per Purchase | $0.69 |
Reach | 1,878,382 |
Impressions | 2,362,279 |
Products Promoted | Drop Shoulder & Polo Shirts |

π‘ Lessons Learned
- π Fashion sells well during festivals β but only with urgency + trust built in
- π Drop Shoulder & Polo are versatile, scalable, and high-margin products
- π Using separate ad sets per product style gives cleaner data and better ROAS
- π Consistency in optimization = predictable performance
𧨠Conclusion
This case proved again:
β “Right product + right moment + clear offer = pre-Eid sales explosion.”
As the festive season peaked, this fashion client achieved over 1,600 confirmed orders without blowing their budget β and left thousands of customers wearing something new on Eid.
π Eid Mubarak in advance to all!
If you’re ready to turn your next seasonal campaign into a winning one β weβre here to help.