Rashid Khaliq
Media Buyer & Performance Marketing Expert | 100+ Clients
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Rashid is ready for their next project!
Project Title:
10.01x ROAS: Scaling a D2C Fragrance Brand via Data-Driven Meta Ads Architecture
Project Overview:
Scaling a direct-to-consumer (D2C) perfume brand requires more than just aggressive ad spend—it demands a razor-sharp creative testing framework, laser-focused audience segmentation, and real-time bid optimization to maintain high profitability.
For this campaign, the core goal was driving high-margin purchase volume while suppressing CPA below target thresholds.
Key Performance Highlights:
Average Blended ROAS: 10.01x across all scaling ad sets
Top-Performing Ad Set ROAS: 12.35x (generating Rs. 79,200 in revenue with a 9.17% CVR)
Total Confirmed Purchases: 103 orders in a single optimized window
Total Revenue Delivered: Rs. 370,800
Average Cost Per Purchase (CPA): Rs. 359.81 (Top ad set down to Rs. 291.59)
Peak Conversion Rate (CVR): Up to 9.85% on targeted interest clusters
The Strategic Framework:
Granular Segmentation & Angle Testing: Instead of relying entirely on broad cold traffic, I built isolated testing sets to validate different emotional angles (luxury perception, long-lasting notes, daily wear). This identified customer segments with the highest buying intent.
Creative & Offer Validation: Tested multiple visual formats (lifestyle imagery vs. clean product feature cards) against precise hooks to lower bounce rates and boost on-site conversion efficiency.
Ruthless Budget Reallocation: Continuously funneled spend away from low-efficiency variations directly into high-ROAS pockets (>11x and 12x return ad sets), protecting the client's margins while maximizing order volume.
Conversion Rate Optimization (CRO) Synergy: Monitored the entire funnel friction—matching ad copy promises directly with the destination landing page to secure an exceptional average CVR exceeding 5%+.
Services Provided:
Meta Ads Campaign Setup & Management
Creative Testing & Copy Architecture
Audience Segmentation & Retargeting Setup
ROAS & Cost-Per-Acquisition Optimization
Performance Analytics & Reporting
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Is Meta ignoring your best creatives in CBO? Here is the exact fix. 👇
Every media buyer knows this pain: You launch a CBO campaign with multiple high-potential creatives or product offers.
What happens? Meta blindly pours 85% of the daily budget into just one ad, starving the rest of any impressions before they even get a chance to convert.
I was recently managing a multi-destination campaign for an international travel agency. Meta kept forcing the entire budget into a single destination, while the other ad sets generated zero traction.
Instead of hacking the system by duplicating ads into rigid ABO setups, I used Meta’s new native feature: "Push delivery to this ad."
How it works & why it’s a game changer:
Dedicated Spend Allocation: It lets you assign a specific percentage of your daily campaign budget (e.g., 20%) directly to a test ad.
Controlled Testing Window: You can set a defined test period (e.g., 7 days) without breaking the overall CBO efficiency.
Equal Opportunity: Your fresh creatives actually gather data, get past the initial threshold, and start delivering high-intent conversions.
The result? The starved destination creative started converting immediately, evening out the lead flow and scaling overall campaign volume without spiking CPA.
Stop letting Meta's algorithm starve your top creative variations. Force the delivery, let the data speak, and scale what works.
Have you tested this feature in your accounts yet?
#MetaAds #MediaBuying #PerformanceMarketing #PaidSocial #ContraCreatives
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Project Title: £1.05 CPA: Generating 2,400+ International Travel Leads for a UK Agency
Description:
I engineered and executed a high-performance Meta Ads lead generation framework for a UK-based travel agency specializing in luxury international tours (Bali, Maldives, Italy).
Despite navigating a high-budget and competitive market, my primary objective was to deliver qualified travel intent leads at an exceptionally low Cost Per Acquisition (CPA).
Key Accomplishments (From attached data):
✅ Generated a total of 2,445 confirmed leads for international tours.
✅ Achieved an incredible top-performing CPA of ~£1.05 (from data Rs372.73 PKR).
✅ Maintained an average CPA of ~£1.30 across the entire primary campaign (Rs457.49 PKR).
Strategy Highlights:
This was not achieved by luck. To keep CPA minimal and quality high, I deployed a ruthless creative testing methodology:
Targeted Segmentation: Developed and tested granular audience segments tailored to travelers interested in premium destinations.
Rapid Creative A/B Testing: Simultaneously ran numerous creative variations (image, video, carousel) against different headlines and copy combinations.
Algorithm Optimization: Actively managed bids and placements, funneling budget towards the exact winning combinations that triggered high conversion rates at low costs.
This project proves my capability to maximize ROI for premium service providers in competitive Western markets like the UK.
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Project Title: $0.58 CPA: Scaling a Korean Restaurant via Micro-Interest Targeting
Description:
I engineered a high-performance Meta Ads strategy to generate on-site sales for a Korean Restaurant, focusing on hyper-efficient acquisition.
Key Achievements:
✅ Generated 112 confirmed purchases from a single campaign.
✅ Achieved an incredible $0.74 Cost Per Purchase.
✅ Scaled another high-performing campaign to 302 purchases at just $0.71 per sale.
Strategy Highlights:
To keep CPA extremely low, I moved beyond broad targeting and deployed a granular, data-driven framework. I created specific ad sets targeting high-intent Broad Interests (K-pop, K-drama fans) and validated unique Micro-Interests directly relevant to Korean cuisine and pop culture.
This project demonstrates my ability to identify niche audience segments and optimize Meta’s algorithm for maximum ROI at a minimal cost.
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