Doyan Ayam

(Project With RevoU)

Scratch Managing Meta Ads for a real F&B business to improve campaign performance and generate actionable insights.

Project Real Client

2024

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Client: Doyan Ayam
Industry: Food & Beverage (Ayam Geprek & Fried Chicken)
Role: Paid Ads Specialist
Duration: 1 Month
Channel: Meta Ads (Facebook & Instagram)
Objective: Generate leads and direct prospects to WhatsApp via website

Problem

Paid Ads (Meta Ads)

Project Overview

Doyan Ayam wanted to increase qualified leads from digital ads with a limited daily budget.
However, the initial campaign faced tracking issues, and early performance was not optimal due to pixel misconfiguration and inefficient campaign structure.

I focused on building a simple but scalable lead generation system, including:

Strategy

  • Rebuilding the campaign using Conversion (Leads) objective

  • Using Campaign Budget Optimization (CBO) to maximize limited budget

  • Testing informational vs testimonial video creatives

  • Segmenting audiences by city (Jakarta & Balikpapan)

  • Optimizing placements to focus on high-performing feeds

  • Gradually refining ads, audiences, and CTAs based on weekly performance

Lacking

  • Launched video-based lead campaigns with clear WhatsApp intent

  • Optimized ads weekly based on CTR, CPL, and lead quality

  • Disabled underperforming ads and placements

  • Shifted budget toward best-performing audience and creative combinations

  • Ensured tracking accuracy after fixing pixel-related issues

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  • 146 Total Leads generated

  • Cost per Lead (CPL): Rp 12,329

  • Conversion Rate (CVR): 25%

  • Total Spend: Rp 1,800,000

  • 997 Link Clicks

  • 63,669 Impressions

Campaign results outperformed the media plan by +33% in total leads.

Results

  • Jakarta audience delivered more leads with lower CPL than Balikpapan

  • Informational video ads performed best for top-funnel acquisition

  • Facebook Feed was the highest-performing placement

  • Proper tracking setup was critical to unlock campaign optimization

  • CBO helped the algorithm allocate budget efficiently to winning ad sets

Key Insights

  • Handle real client campaigns

  • Optimize Meta Ads with limited budget

  • Analyze performance at campaign, ad set, and ad level

  • Turn technical issues into measurable performance improvement

Outcome