Scaling Results with Data-Driven Campaigns

Scaling Results with Data-Driven Campaigns

🎯Goal:

To scale paid traffic using Facebook Ads while maintaining a low cost per result, improving conversion volume, and increasing overall efficiency of budget usage across multiple ad sets and campaigns.

📈 Overview:

The brand had previously launched several ad campaigns but wasn’t sure which creatives or audiences were bringing the best results. My objective was to structure the campaign strategy, optimize delivery based on performance, and lower cost per result without losing volume.

💡 Outcome:

This account went from scattered and inefficient to tightly optimized, data-backed, and ROI-focused. ROAS improved across the board while ad spend was scaled to over $1,000/day on best performers — all while maintaining cost control.

🛠️ What I Did:

1. Structured Multi-Level Campaign Setup

  • Created 9 active campaigns targeting different funnel stages (cold, warm, retargeting).
  • Split ad sets by audience type (broad interest, lookalikes, custom audiences).
  • Used CBO (Campaign Budget Optimization) for budget efficiency and learning phase stability.

2. Performance-Based Budget Shifting

  • Paused or limited campaigns with higher cost per result (e.g., Campaign_04 with $6.51 CPR).
  • Reallocated budget toward top-performers like:
  • Campaign_02 — 1,236 results, $4.22 CPR, 205,132 impressions
  • Campaign_06 — 2,412 results, $3.96 CPR, 218,560 impressions
  • Reduced wasted spend by cutting underperforming ads and scaling those above benchmark.

3. Creative & Ad Set Testing

  • Tested multiple creatives in Ad Set_01, including lifestyle images and product-focused formats.
  • Monitored which ad visuals had the highest engagement + conversion.
  • Used a $2.79–$1.89 bid cap strategy for controlled scaling.

4. Optimization & Scaling

  • Gradually increased daily budget (up to $1,021 daily) for the best-performing ad sets.
  • Total reach across all campaigns: 1.4M+ people
  • Impressions: 2.8M+
  • Total spend: $39,645.72
  • Kept the average cost per result below $5 for several scaled campaigns — a major win in a competitive niche.
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