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Scaling E-Commerce Revenue via Consolidated Meta Campaign Architecture
Description:
Restructured a fragmented Meta Ads account for a direct-to-consumer (D2C) brand. By eliminating audience overlap and implementing a consolidated scaling framework, the account achieved consistent stability and exited the learning phase within 48 hours.
What was executed:
CBO Integration: Merged 12 scattered campaigns into 1 main Campaign Budget Optimization (CBO) structure to maximize liquidity.
Creative Testing Pipeline: Built a dedicated testing environment utilizing Dynamic Creative Test (DCT) ad sets to constantly find new winning hooks.
Broad Targeting: Leveraged Meta's AI capabilities by shifting from tight interest-stacking to broad targeting, cutting the cost per acquisition (CPA) by 22%.
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Meta Conversions API (CAPI) & Advanced Pixel Integration
Description:
Implemented a robust dual-tracking setup combining the Meta Pixel with Server-Side Conversions API via Google Tag Manager. This setup bypasses browser tracking restrictions, stabilizes custom audiences, and optimizes Meta's ad delivery algorithm with high-match-quality data.
What was engineered:
Gateway & Server-Side GTM: Routed conversion events directly from the server to Meta’s endpoints, restoring missing data from iOS users and ad-blockers.
Event Deduplication: Configured precise deduplication keys (using event_id) to ensure the Meta Pixel and CAPI don’t double-count actions like purchases or leads.
Advanced Matching: Enhanced Event Match Quality scores by securely hashing and transmitting permission-based first-party data (e.g., email, phone number) to Meta.
AI-Powered E-Commerce Analytics & Automation Dashboard – Built in Figma
Hi Config Makeathon Team & Judges,
I am thrilled to submit my project for the #ConfigMakeathon. This is a next-generation AI-Powered E-Commerce Dashboard designed entirely in Figma, leveraging the latest Figma UI/UX standards, auto-layout, and components.
🚀 The core problem it solves:
Modern e-commerce store owners (especially Shopify users) struggle to analyze customer behavior, track sales funnels, and generate marketing copies simultaneously. This dashboard solves that by combining analytics with real-time AI assistance inside one clean interface.
✨ Key Features Designed:
Predictive Sales Analytics: Clean charts showing revenue, conversion rates, and bounce rates.
AI Copywriting Assistant Window: An integrated AI tool panel that helps merchants generate Facebook/Google ad copies based on store data.
Customer Behavior Heatmap Shortcut: A fast, intuitive way to see where users click the most.
100% Responsive Design: Fully optimized with Figma’s advanced auto-layout for both desktop and tablet screens.
🛠️ Tools Used:
Figma (Components, Variants, Auto-Layout 5.0, and Variables)
Figma AI capabilities for layout structuring inspiration.
configmakeathonFigmadashboarddesignResponsive DesignProduct DesignUX DesignFigma Makestyled-components
Multi-Channel Google Ads Scaling & Conversion Architecture
Engineered and optimized high-scale global Google Ads campaigns, focusing on maximizing ROAS and structural data feeding through advanced tracking setup.
What was executed:
💥Performance Max & Search: Deployed intent-driven campaigns focused on high-value buyers rather than empty traffic.
💥Smart Bidding Training: Enhanced Google's AI bidding algorithms by structuring clean conversion data pipelines through Google Tag Manager.
💥Budget Architecture: Audited and restructured global ad-spend allocations to eliminate leaking budgets and scale profitable products.:
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