Case Study: Paid Media & Content Automation for Scalable Growth
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Overview
As a Paid Media Buyer and Performance Marketing Manager, my role was to optimize Facebook Ads and Instagram Reels campaigns by leveraging AI-powered content generation and automation strategies. The objective was to reduce Cost per Purchase (CPP), improve CPA (Cost per Acquisition), and increase overall ROAS (Return on Ad Spend).
Challenge
Rising ad costs across Facebook Ads and TikTok Ads.
Inconsistent Cost per Purchase (CPP) and need to improve CPA benchmarks.
Limited bandwidth to create short-form content (reels, videos, creatives, ad copy) at scale.
Maintaining budget efficiency while scaling campaigns in competitive paid media environments.
Strategy
1. AI-Powered Content Generation
Deployed AI tools for ad copywriting and creative testing.
Automated short-form video (Reels, TikTok) production to generate multiple ad variations.
Increased testing velocity across audiences with dynamic creative optimization.
2. Content Automation & Media Buying Efficiency
Built an automated content calendar for ad scheduling and delivery.
Implemented rules-based automation in Ads Manager for campaign optimization.
Reallocated budgets from underperforming ad sets into high-ROAS campaigns.
3. Data-Driven Campaign Optimization
Monitored ROAS, CPA, and CPP daily within Facebook Ads Manager.
Applied audience segmentation and retargeting to maximize conversions.
Used performance marketing best practices to scale profitable campaigns.
Results
Cost per Purchase (CPP): Dropped from €52.76 to €25.38 → 51.90% decrease.
ROAS (Return on Ad Spend): Increased from 1.72 to 3.14 → 82.48% improvement.
Managed risks: one campaign saw a 13.56% CPP increase and 19.17% ROAS drop, but portfolio strategy balanced and scaled profitably.
Key Takeaways
Paid Media Buying + AI Content Generation = scalable campaign success.
Content automation accelerated testing and creative optimization.
Short-form video ads (Reels, TikTok, YouTube Shorts) significantly reduced acquisition costs.
Performance marketing frameworks enabled smart budget allocation and sustainable growth.
Conclusion
This case study highlights how a Paid Media Buyer / Media Buying Manager can combine AI content generation, paid social strategy, and automation to drive real business results. By applying performance marketing principles, campaign optimization, and cross-platform paid media management, I achieved:
51% lower acquisition costs
82% higher ROAS
Profitable scaling in just one month…Case Study: Paid Media & Content Automation for Scalable Growth
📧 Email: https://www.twine.net/signin
🔗https://www.twine.net/signin
Overview
As a Paid Media Buyer and Performance Marketing Manager, my role was to optimize Facebook Ads and Instagram Reels campaigns by leveraging AI-powered content generation and automation strategies. The objective was to reduce Cost per Purchase (CPP), improve CPA (Cost per Acquisition), and increase overall ROAS (Return on Ad Spend).
Challenge
Rising ad costs across Facebook Ads and TikTok Ads.
Inconsistent Cost per Purchase (CPP) and need to improve CPA benchmarks.
Limited bandwidth to create short-form content (reels, videos, creatives, ad copy) at scale.
Maintaining budget efficiency while scaling campaigns in competitive paid media environments.
Strategy
1. AI-Powered Content Generation
Deployed AI tools for ad copywriting and creative testing.
Automated short-form video (Reels, TikTok) production to generate multiple ad variations.
Increased testing velocity across audiences with dynamic creative optimization.
2. Content Automation & Media Buying Efficiency
Built an automated content calendar for ad scheduling and delivery.
Implemented rules-based automation in Ads Manager for campaign optimization.
Reallocated budgets from underperforming ad sets into high-ROAS campaigns.
3. Data-Driven Campaign Optimization
Monitored ROAS, CPA, and CPP daily within Facebook Ads Manager.
Applied audience segmentation and retargeting to maximize conversions.
Used performance marketing best practices to scale profitable campaigns.
Results
Cost per Purchase (CPP): Dropped from €52.76 to €25.38 → 51.90% decrease.
ROAS (Return on Ad Spend): Increased from 1.72 to 3.14 → 82.48% improvement.
Managed risks: one campaign saw a 13.56% CPP increase and 19.17% ROAS drop, but portfolio strategy balanced and scaled profitably.
Key Takeaways
Paid Media Buying + AI Content Generation = scalable campaign success.
Content automation accelerated testing and creative optimization.
Short-form video ads (Reels, TikTok, YouTube Shorts) significantly reduced acquisition costs.
Performance marketing frameworks enabled smart budget allocation and sustainable growth.
Conclusion
This case study highlights how a Paid Media Buyer / Media Buying Manager can combine AI content generation, paid social strategy, and automation to drive real business results. By applying performance marketing principles, campaign optimization, and cross-platform paid media management, I achieved:
51% lower acquisition costs
82% higher ROAS
Profitable scaling in just one monthWW…