The projects I am working on are explained below.

Project 1: E-Commerce Fashion Retail - Boosting Online Sales

Increase online sales for a mid-sized fashion e-commerce brand by 30% within 3 months using targeted Facebook Ads and Google Ads campaigns.

Facebook Ads: Leverage dynamic product ads and lookalike audiences to retarget website visitors and reach new customers with similar behaviors.
Google Ads: Implement search and shopping campaigns focusing on high-intent keywords and optimized product feeds.
Cross-Platform Integration: Use UTM tracking to monitor performance across platforms and optimize ad spend allocation.

Facebook Ads:
- Created dynamic product ads showcasing top-selling items, using carousel formats to highlight variety.
- Built lookalike audiences based on high-value customers (purchases over $100).
- Ran A/B tests on ad creatives (lifestyle images vs. product-focused visuals) and CTAs ("Shop Now" vs. "Discover Styles").
- Budget: $5,000/month, split 60% retargeting, 40% prospecting.
Google Ads:
- Launched search campaigns targeting keywords like "women’s summer dresses" and "men’s casual shirts" with bid adjustments for mobile users.
- Optimized Google Shopping feed with high-quality images, detailed descriptions, and competitive pricing.
- Used smart bidding (Target ROAS) to maximize return on ad spend.
- Budget: $4,000/month, split 70% shopping, 30% search.
Analytics: Integrated Google Analytics and Facebook Pixel to track conversions, with weekly reports to adjust bids and creative.

Sales Growth: Achieved 34% increase in online sales within 3 months, surpassing the 30% goal.
Facebook Ads: ROAS of 5.2x; lookalike audiences contributed 45% of conversions.
Google Ads: ROAS of 6.8x; shopping campaigns drove 60% of total ad revenue.
Key Insight: Lifestyle images outperformed product-focused visuals by 25% in click-through rate (CTR).

Generate 200 new leads per month for a local fitness studio through cost-effective Facebook Ads and Google Ads campaigns over 6 months.

Facebook Ads: Target local audiences with interest-based and geo-targeted ads promoting free trial classes.
Google Ads: Capture high-intent searchers with campaigns targeting keywords like "fitness classes near me" and "gym in [city]."
Funnel Optimization: Drive traffic to a landing page with a lead capture form, followed by email nurturing.

Facebook Ads:
- Created video ads showcasing class energy and testimonials, targeting audiences within a 10-mile radius interested in fitness, yoga, or wellness.
- Used lead ads with pre-filled forms to reduce friction and boost conversions.
- Tested ad schedules (morning vs. evening) to optimize for peak engagement.
- Budget: $2,000/month, 80% lead ads, 20% video ads.
Google Ads:
- Launched search campaigns with location extensions and callouts like "Free Trial Class."
- Built a responsive landing page with clear CTAs and a lead form, optimized for mobile.
- Used manual CPC bidding to control costs for competitive keywords.
- Budget: $1,500/month, 100% search.
Analytics: Monitored lead quality via CRM integration, tracking form submissions and trial class sign-ups.

Lead Generation: Averaged 220 leads/month, exceeding the 200-lead goal.
Facebook Ads: Cost per lead of $8.50; lead ads outperformed video ads by 30% in conversion rate.
Google Ads: Cost per lead of $12.20; 65% of leads came from mobile searches.
Key Insight: Evening ad schedules on Facebook increased CTR by 15% compared to mornings.

Increase online sales for a mid-sized fashion e-commerce brand by 30% within 3 months using targeted Facebook Ads and Google Ads campaigns.

Facebook Ads: Leverage dynamic product ads and lookalike audiences to retarget website visitors and reach new customers with similar behaviors.
Google Ads: Implement search and shopping campaigns focusing on high-intent keywords and optimized product feeds.
Cross-Platform Integration: Use UTM tracking to monitor performance across platforms and optimize ad spend allocation.

Facebook Ads:
- Created dynamic product ads showcasing top-selling items, using carousel formats to highlight variety.
- Built lookalike audiences based on high-value customers (purchases over $100).
- Ran A/B tests on ad creatives (lifestyle images vs. product-focused visuals) and CTAs ("Shop Now" vs. "Discover Styles").
- Budget: $5,000/month, split 60% retargeting, 40% prospecting.
Google Ads:
- Launched search campaigns targeting keywords like "women’s summer dresses" and "men’s casual shirts" with bid adjustments for mobile users.
- Optimized Google Shopping feed with high-quality images, detailed descriptions, and competitive pricing.
- Used smart bidding (Target ROAS) to maximize return on ad spend.
- Budget: $4,000/month, split 70% shopping, 30% search.
Analytics: Integrated Google Analytics and Facebook Pixel to track conversions, with weekly reports to adjust bids and creative.

Sales Growth: Achieved 34% increase in online sales within 3 months, surpassing the 30% goal.
Facebook Ads: ROAS of 5.2x; lookalike audiences contributed 45% of conversions.
Google Ads: ROAS of 6.8x; shopping campaigns drove 60% of total ad revenue.
Key Insight: Lifestyle images outperformed product-focused visuals by 25% in click-through rate (CTR).