When দোহার মালাবিস (Dohar Malabis) approached us in early 2025, they were a growing Islamic clothing brand serving the Bangladeshi market with modest fashion — including panjabi, jilbab, hijab, thobe, and kufi — primarily through their Shopify-based e-commerce store and a physical outlet in Dohar, Dhaka. They had a loyal local customer base, a decent Instagram following, and solid product quality. But their online sales were stuck in neutral.
Facebook ads were running, but without a clear conversion strategy. The brand was spending roughly BDT 45,000–60,000 per month on Facebook campaigns, getting plenty of likes and page engagement, but very few actual online orders. Their cost per purchase (CPP) was hovering around BDT 480–520, and the monthly sales volume had plateaued at approximately BDT 1.8–2.2 lakh from Facebook-driven traffic. The return on ad spend (ROAS) was stuck around 1.6x — barely profitable after factoring in product costs, COD fees, bKash charges, and delivery logistics.
This case study breaks down exactly how we restructured their Facebook advertising strategy — moving from engagement-focused campaigns to a full-funnel Conversion Ads architecture powered by Lookalike Audiences, product catalog sales, and creative optimization tailored for the Bangladeshi e-commerce audience. The result: +280% increase in monthly sales and a 4.2x average ROAS within 90 days.
If you are an e-commerce brand in Bangladesh — especially in the modest fashion or Islamic clothing niche — looking to scale your Facebook Ads ROI, the strategies outlined here are directly applicable to your business.
Project Snapshot
| Metric | Detail |
|---|---|
| Client | দোহার মালাবিস (Dohar Malabis) — Islamic Clothing Brand |
| Industry | E-Commerce / Apparel — Modest Fashion & Islamic Wear |
| Target Market | Bangladesh (Dhaka Division, nationwide via e-commerce) |
| Platform | Facebook Ads (Meta Ads Manager) |
| Campaign Type | Conversion Ads, Catalog Sales, Lookalike Audiences |
| Monthly Ad Spend (Start) | BDT 45,000–60,000 |
| Monthly Sales (Start) | BDT ~2.0 Lakh (Facebook-driven) |
| ROAS (Start) | ~1.6x |
| Monthly Sales (After 90 Days) | BDT ~7.5 Lakh+ |
| ROAS (After 90 Days) | 4.2x Average |
| Sales Growth | +280% Month-over-Month |
| Timeline | January 2025 – March 2025 (90 days) |
| Expert | Kanok Miah — Digital Marketing & Facebook Ads Strategist |
The Problem: Engagement Vanity Without Revenue
Before we began, Dohar Malabis was running Facebook ads that looked good on the surface but were failing at the only metric that matters for an e-commerce brand: revenue.
1. Campaigns Were Optimized for Engagement, Not Conversions
The existing ad set was configured for Post Engagement as the optimization goal. This meant Facebook was showing the ads to people most likely to like, comment, or share — not to people most likely to buy. The result was thousands of likes on product photos (especially during Ramadan season) but a trickle of actual orders.
This is an extremely common mistake among Bangladeshi e-commerce brands. Business owners see high engagement metrics and assume the ads are working. But engagement metrics have almost zero correlation with purchase intent. A post can get 2,000 reactions and 150 comments and generate only 2–3 orders.
2. No Pixel-Powered Audience Targeting
The Facebook pixel was installed but barely utilized. Standard events (PageView, AddToCart, Purchase) were firing inconsistently — especially Purchase events, which often failed to fire due to the way the Shopify checkout (with bKash/Cash on Delivery as primary payment methods) was configured. Without reliable purchase data, Facebook’s algorithm had no signal to optimize for. The Lookalike audiences that existed were based on a Customer File of only 87 email addresses — far too small to generate a quality Lookalike.
3. Brochure-Style Creative With No Urgency
The ad creatives were essentially digital brochures: high-quality product photos on white backgrounds with the brand logo. There were no social proof elements, no limited-time offers, no customer testimonials, and no video content. In a market where competitors like Gentle Park, Madni Gents Point, and Younusco are running dynamic, offer-driven ads, the Dohar Malabis creative was invisible in the feed.
4. No Product Catalog or Dynamic Ads
Meta’s most powerful e-commerce feature — the Product Catalog — was not set up at all. There were no dynamic retargeting ads showing customers the exact products they viewed. No collection ads featuring bestsellers. No automated cross-selling or upselling. Every ad was a static image manually uploaded, meaning every product launch required a new ad from scratch.
5. High Cost Per Purchase from Poor Optimization
The engagement-optimized campaigns, combined with a weak pixel and no catalog, meant a very high cost per purchase. At BDT 480–520 per order, and an average order value (AOV) of roughly BDT 1,200–1,500, the gross margin was thin. After product cost (typically 35–40% of sale price), COD fees (2% + BDT 15 delivery charge per order), bKash transaction fees (1.5% for merchant), and return logistics (industry average 15–20% return rate in Bangladesh e-commerce), the actual net profit per order was negligible.
The Solution: A Full-Funnel Conversion Ads Architecture
We restructured the entire Dohar Malabis Facebook Ads presence from scratch. The new strategy was built on four pillars: Conversion-Optimized Campaign Structure, Lookalike Audience Expansion, Product Catalog Integration, and Creative Overhaul for the Bangladeshi Market.
Pillar 1: Conversion-Optimized Campaign Structure
The first and most critical change was switching the optimization objective from Engagement to Conversions (Purchase). This tells Facebook’s algorithm: “Find people who will buy, not people who will like.”
We set up a three-tier campaign structure following Meta’s Prospecting → Retargeting → Retention framework:
Tier 1 — Prospecting (Broad + Lookalike Audiences)
The prospecting layer was designed to find new customers who had never interacted with Dohar Malabis before. We created two primary ad sets within this tier:
Broad Open Targeting (BD): Gender: Male + Female. Age: 18–50. Location: Bangladesh (with 5 km exclusion around the Dohar physical store to avoid cannibalizing walk-in traffic). No detailed targeting interests — just broad. The logic: Facebook’s algorithm, once trained on Purchase events, is better at finding buyers within a broad audience than any human-curated interest stack. This ad set accounted for 40% of the daily budget.
Lookalike Audience (1% + 3%): Based on the cleaned and expanded Purchase event data (see Pillar 2). We created Lookalikes at 1% (narrowest, highest intent) and 3% (broader reach) across Bangladesh. The 1% LAL received 35% of budget, and the 3% LAL received 25%. Combined, the prospecting layer consumed 70% of total daily spend, with the remaining 30% allocated to retargeting.
Tier 2 — Retargeting (Website Visitors + Engaged Users)
The retargeting layer targeted users who had already shown interest:
- View Content (1–14 days): Anyone who viewed a product page but didn’t add to cart. Creative: Product image + social proof (“1,200+ satisfied customers in Dhaka”) + limited-time shipping offer (“ফ্রি ডেলিভারি আজই অর্ডার করুন”).
- Add to Cart (1–7 days): Anyone who added a product to cart but didn’t purchase. Creative: Direct CTAs with scarcity (“মাত্র ৩ টি পিস বাকি!”) + testimonials from buyers who purchased the same product.
- Engaged on Facebook (30 days): Users who liked, commented, or shared any Dohar Malabis post. Creative: New arrivals or bestsellers with special discount codes (“MALABIS10” for 10% off).
- Video Viewers (50%+ watch, 14 days): Users who watched at least 50% of any video ad. Creative: Follow-up video showing product details or styling tips.
Tier 3 — Retention (Past Customers)
Repeat customers are the highest-value segment in any e-commerce business. We created a dedicated retention ad set targeting past purchasers (last 180 days) with:
- Cross-sell campaigns: “You bought a panjabi — here’s a matching kufi and prayer mat set.”
- Seasonal reminders: New collection drops for Eid, Ramadan, and Jumu’ah occasions.
- Loyalty offers: Exclusive early access to new arrivals for returning customers.
- Referral campaigns: “Share with a friend — both get 15% off your next order.”
Pillar 2: Pixel Repair & Lookalike Audience Build
Without a reliable pixel, no amount of campaign strategy would work. Facebook needs conversion data to optimize, and Lookalike audiences are only as good as the source audience.
Step 1 — Pixel Event Fix: We identified that the Purchase event was not firing on bKash and Cash on Delivery orders because Shopify’s default checkout process doesn’t trigger the standard purchase event for manual payment methods. We installed the Meta Pixel via Google Tag Manager with custom event listeners that fired the Purchase event on the order confirmation (thank you) page — regardless of payment method. Within 7 days, the pixel was receiving 25–35 purchase events per day instead of the previous 3–5.
Step 2 — Event Deduplication: We enabled Meta’s deduplication protocol by sending both the eventID and event_source_url parameters with every Purchase event. This prevented double-counting of conversions when both the browser pixel and the Conversions API (CAPI) were firing.
Step 3 — Conversions API (CAPI) Setup: We configured the Meta Conversions API via the Shopify-Meta integration, sending server-side Purchase events directly from Shopify’s backend. This ensured that even if the browser pixel was blocked by ad blockers or privacy restrictions (a growing concern with iOS 14.5+ and browser cookie restrictions), conversion data would still reach Facebook. CAPI increased the tracked conversion rate by roughly 22%.
Step 4 — Audience Building: Once the pixel was collecting clean purchase data for 14 days, we had approximately 350+ quality Purchase events to work with. We used this as the source audience to generate:
- A 1% Lookalike of Bangladesh purchasers (approx. 1.7 million people) — highest purchase intent, used for top-of-funnel prospecting at lower budget.
- A 3% Lookalike of Bangladesh purchasers (approx. 5 million people) — broader reach with strong purchase propensity, used as the primary prospecting audience.
- A Value-Based Lookalike (top 20% of customers by LTV) — targeting people similar to the highest-value customers, optimized for AOV rather than just conversion rate.
Pillar 3: Product Catalog & Dynamic Ad Integration
Meta’s Product Catalog is arguably the single most powerful e-commerce advertising tool that most Bangladeshi brands are not using effectively. We set it up properly:
Catalog Creation & Feed Optimization: We created a new product catalog in Meta Commerce Manager and connected it to Dohar Malabis’s Shopify store via the official Shopify channel integration. The product feed was optimized with:
- High-resolution images with transparent backgrounds (white or light beige for the Islamic aesthetic)
- Clear product titles in Bengali + English (e.g., “কালো কাশ্মীরি পাঞ্জাবি — Black Kashmiri Panjabi | Premium Quality”)
- Google Product Category mapping for accurate taxonomy
- Custom labels for seasonality (Ramadan Collection, Eid Special, Winter Panjabi)
- Inventory tracking to auto-pause out-of-stock variants
- Sale price fields for discount campaigns
Dynamic Ads (Catalog Sales): We launched the following catalog-based campaigns:
- Dynamic Prospecting (BD — Broad): Showed the most relevant products to people who had never visited the site, based on their browsing behavior across Meta’s network. Facebook’s algorithm automatically selected the best product image and description for each user.
- Dynamic Retargeting (Cross-sell): Showed complementary products to people who had purchased. For example, a customer who bought a white panjabi would see ads for matching kufis and prayer mats.
- Dynamic Retargeting (Abandoned Browse/Add to Cart): Showed the exact products users had viewed or added to cart, with personalized messaging. This ad set alone recovered approximately 12% of abandoned carts within the first month.
- Collection Ads (Bestsellers + New Arrivals): Featured a primary video or image with 3–4 product thumbnails below. These performed exceptionally well during Ramadan and Eid seasons when buyers were browsing multiple products.
Pillar 4: Creative Overhaul for the Bangladeshi Market
In Bangladesh, Facebook ad creative must be culturally relevant, visually compelling, and — most importantly — trustworthy. Bangladeshi consumers, especially when shopping for Islamic clothing, are cautious about online fraud and product quality. We transformed the creative strategy:
Video-First Approach: We shifted 70% of the creative budget toward short-form video (15–30 seconds). The formats included:
- Product showcase videos: A model wearing the panjabi or jilbab, walking naturally, showing fabric drape and movement. Shot on a smartphone with natural lighting — intentionally avoiding an overly produced look, which can feel inauthentic to Bangladeshi audiences.
- Behind-the-scenes: Fabric selection, stitching process, quality checks at the Dohar workshop. These videos built trust by showing the craftsmanship behind the products.
- Customer testimonial videos: Real customers (with permission) sharing their experience — fit, fabric quality, delivery speed. These were the highest-converting creatives.
- Unboxing/review videos: “আমার অর্ডারটি এসে গেছে — দেখুন কেমন লাগলো!” format, showing the product fresh out of the package.
Social Proof Integration: Every static image ad was redesigned to include:
- Star ratings (4.8★ “১২০০+ রিভিউ”)
- Real customer photos (submitted via WhatsApp after delivery)
- Trust badges: bKash Merchant, COD Available, Free Returns within 7 days
- Urgency elements: “মাত্র ১৫ টি পিস বাকি!” or “এই সপ্তাহেই শেষ!”
Offer-Led Creative: Instead of just showing products, we anchored every ad to a specific offer:
- “অর্ডার করুন ২ টি পাঞ্জাবি — পান ১ টি কুফি ফ্রি!” (Buy 2 Panjabis, Get 1 Kufi Free)
- “প্রথম অর্ডারে ১৫% ছাড় — কোড: WELCOME15”
- “ফ্রি ডেলিভারি সারা বাংলাদেশে — আজই অর্ডার করুন”
- “Eid কালেকশন এখনই প্রি-অর্ডার করুন — ২০% ছাড়!”
The Results: 90-Day Transformation
The results exceeded our initial projections. Within 90 days of implementing the full-funnel Conversion Ads strategy, Dohar Malabis experienced a dramatic turnaround in all key performance metrics:
| Metric | Before (Dec 2024) | After 90 Days (Mar 2025) |
|---|---|---|
| Monthly Facebook-Driven Sales | BDT ~2.0 Lakh | BDT 7.5 Lakh+ |
| Average ROAS | ~1.6x | 4.2x |
| Cost Per Purchase (CPP) | BDT 480–520 | BDT 210–280 |
| Average Order Value (AOV) | BDT 1,200–1,500 | BDT 1,800–2,400 |
| Conversion Rate (View to Purchase) | ~0.8% | 2.4% |
| Purchase Events per Day (Tracked) | 3–5 | 45–60 |
| Monthly New Customers | ~120 | ~450 |
| Returning Customer Rate | ~8% | 22% |
| Cart Recovery Rate (via Dynamic Ads) | N/A (no retargeting) | 12% recovery |
Breakdown by Campaign Tier
Prospecting (Broad + LAL): 55% of total sales. The 3% Bangladesh Lookalike outperformed all other ad sets with a 4.8x ROAS. Broad targeting plus 1% LAL combined delivered a 3.6x ROAS. The key insight: the Value-Based Lookalike (top 20% customers) delivered a 5.2x ROAS with a BDT 2,800+ AOV — significantly higher than other segments.
Retargeting (Website + Engaged): 30% of total sales at 6.1x ROAS. The Add to Cart retargeting (1–7 days) was the highest-converting ad set at 7.3x ROAS. View Content retargeting delivered a 4.5x ROAS. Video viewers converted at 3.8x ROAS.
Retention (Past Customers): 15% of total sales at 8.5x ROAS. Cross-sell campaigns to past customers were extremely efficient, with the highest ROAS of any segment. The referral campaign generated 47 new customers in the first 60 days at a CPA of only BDT 85.
Product-Specific Performance
Within the catalog, certain product categories significantly outperformed others:
- Premium Kashmiri Panjabi (BDT 2,500–3,500): Highest AOV category. The “কালো কাশ্মীরি পাঞ্জাবি” variant alone generated BDT 1.2 Lakh in sales within 30 days. Best-performing creative: video close-up of fabric texture with model wearing it.
- Turkish Jilbab (BDT 1,800–2,800): Second-best category by revenue. Particularly strong among female buyers (surprising, as the brand initially targeted men). We created a dedicated women’s ad set and saw 3x growth in female customer segment.
- Everyday Panjabi Set (BDT 900–1,400): Highest volume category (most units sold). Lower AOV but strong conversion rates. These were the primary entry point for new customers, who then upgraded to premium products on repeat purchases.
- Kufi & Accessories (BDT 150–500): Excellent cross-sell category. 34% of all panjabi orders included at least one kufi. We created “complete your look” bundles that increased AOV by BDT 350 per order.
Key Takeaways for Islamic Clothing & E-Commerce Brands in Bangladesh
- Conversion Objective is Non-Negotiable. If you are an e-commerce brand and your Facebook campaigns are optimized for anything other than Purchase conversions, you are leaving money on the table. Engagement metrics are vanity metrics for e-commerce. Switch to Purchase optimization immediately, even if it means your initial cost per purchase is higher — Facebook needs conversion data to learn and optimize.
- Fix Your Pixel Before You Scale. The single biggest reason Bangladeshi e-commerce brands fail with Facebook ads is broken pixel tracking. If your Purchase events are not firing reliably — especially on COD and bKash orders — Facebook is flying blind. Install the Conversions API (CAPI) alongside your browser pixel for redundancy. A clean pixel is the foundation of everything else.
- Lookalike Audiences Based on Purchase Data Work. A 1–3% Lookalike audience built from even 300–500 quality Purchase events will outperform any interest-based targeting in Bangladesh. The algorithm identifies patterns in who buys that no human can. Start building your purchase-based Lookalikes as soon as you have 14+ days of clean pixel data.
- Product Catalog Ads Are Your Secret Weapon. Dynamic catalog ads — especially retargeting — are the most underutilized high-impact tool in the Bangladeshi e-commerce market. Setting up a product catalog and launching catalog sales campaigns should be a priority, not an afterthought. The automated product selection and personalization dramatically improve CTR and conversion rates.
- Creative Must Be Culturally Authentic. Bangladeshi consumers — particularly those shopping for Islamic clothing — respond to authentic, relatable content. Overly polished, generic stock-style ads underperform. Real customer videos, behind-the-scenes workshop footage, Bengali-language ad copy, and trust-building elements (real reviews, COD badges) are essential. Invest in UGC-style (user-generated content) creative, not brochure photography.
- Structure Budget for Full-Funnel Allocation. Many brands put 100% of budget into prospecting. Our data shows that a 70/20/10 split (Prospecting / Retargeting / Retention) maximizes overall ROAS while building a sustainable customer acquisition engine. Retargeting and retention campaigns consistently deliver 2–3x the ROAS of prospecting — but you need prospecting to feed the funnel.
- bKash & COD Optimization Matters. In Bangladesh, COD and bKash drive the majority of e-commerce transactions. Your ad strategy must account for this: use bKash Merchant badges in creative, mention COD availability in ad copy, and — critically — ensure your pixel fires correctly on these payment methods. We saw a 22% increase in tracked conversions just from fixing the bKash/COD purchase event tracking.
- Seasonal Peaks Are Amplified by Strategy. Ramadan, Eid-ul-Fitr, and Eid-ul-Adha are massive sales periods for Islamic clothing brands. With the full-funnel strategy in place, Dohar Malabis’s Ramadan 2025 campaign (which ran during the last 30 days of our engagement) delivered a 6.8x ROAS — nearly double the campaign average. Preparation (building audiences, warming pixel, creating seasonal creative) must begin 4–6 weeks before the peak.
Related Case Studies
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- Ansar VDP Sadar Tangail Facebook Ads Case Study — Recruitment marketing via Facebook Ads for a government security force unit in Tangail.
- Fixzoo Facebook Ads Case Study — E-commerce growth for a mobile phone repair service brand through conversion-focused campaigns.
Conclusion
The transformation of দোহার মালাবিস (Dohar Malabis) from a BDT 2.0 Lakh/month brand to a BDT 7.5 Lakh+/month e-commerce business in 90 days was not the result of a single magic bullet. It was the cumulative effect of systematically fixing every component of the Facebook Ads flywheel:
- Switching from engagement to conversion optimization gave Facebook the right signal to optimize for.
- Fixing the pixel and installing CAPI ensured that signal was clean and reliable.
- Building Lookalike Audiences from quality purchase data expanded the pool of high-intent prospects.
- Integrating the Product Catalog unlocked dynamic retargeting and automated product selection.
- Overhauling the creative strategy with culturally authentic, offer-led, video-first content dramatically improved engagement-to-purchase conversion rates.
The result: a healthy, scalable, and sustainable Facebook Ads engine that continues to deliver a 4.2x average ROAS — with peak performance during seasonal periods reaching 6.8x.
If your Islamic clothing brand or e-commerce business in Bangladesh is struggling with Facebook Ads — whether it’s high cost per purchase, low ROAS, or simply not seeing the sales volume you know your product deserves — the strategies outlined here are proven and repeatable. The key is not to chase quick wins but to build the right infrastructure (pixel, catalog, audiences) and strategy (funnel, creative, offers) that compound over time.
Contact Kanok Miah to discuss how we can apply the same full-funnel Facebook Ads methodology to your e-commerce brand.
