Role: Meta Ads Manager + Creative Ad Specialist
Company: Puppies Make Me Happy
Overview
Puppies Make Me Happy brought me in after experiencing consistent month-over-month losses in Meta advertising. Despite steady spend, campaigns were inefficient, audiences were underperforming, and revenue was not scaling. My role was to audit the account, identify the causes of wasted spend, and create a clear optimization plan to return the account to profitability.
The Problem
Rising daily ad spend without proportional revenue growth
Overreliance on Meta Advantage+, increasing costs during unnecessary learning phases
Weak audience signals due to small seed audiences
Missed revenue from unoptimized retargeting
Broad targeting inflating costs without improving conversions
Audit & Key Findings
Advantage+ Misuse
The account was using Advantage+ campaigns despite already having historical audience data. Because Advantage+ relies on extended learning to identify audiences, it was driving higher costs without incremental performance gains.
Corrupted Lookalike Audiences
Custom and lookalike audiences were built from seed sizes below 1,000 users. This weakened Meta’s optimization signals, resulting in inefficient spend and poor delivery.
Untapped Retargeting Demand
Over 5,000 users had abandoned carts, yet retargeting efforts were underdeveloped. This represented immediate, high-intent revenue that was not being captured.
Inefficient Age Targeting
Campaigns were running with broad age ranges (18–65), but performance data showed that buyers consistently fell within the 25–44 range. Younger and older users were consuming budget through clicks without converting.
Optimization Strategy
Campaign & Budget Optimization
Recommended discontinuing Advantage+ campaigns to reduce learning-phase costs
Reallocated spend toward structured prospecting and retargeting campaigns
Audience Rebuild Plan
Paused underperforming lookalike audiences built on low seed sizes
Proposed rebuilding audiences using engagement-based signals (site visitors, social engagement, and cart activity) once full account access was available
Retargeting Focus
Prioritized retargeting campaigns targeting cart abandoners and recent site visitors
Positioned retargeting as a core driver for Black Friday and seasonal sales
Product Strategy
Shifted focus away from new product launches
Concentrated spend on proven best sellers, specifically “Good Boy Gets Treats” tank tops
Introduced hoodies only as upsells after initial conversion
Targeting Refinement
Narrowed primary audience targeting to ages 25–44 to reduce wasted spend
Designed prospecting campaigns specifically for this high-converting segment
Creative Direction
Recommended lifestyle-first creatives with product overlays
Mixed solo and group visuals featuring both men and women
Optimized creative formats to keep users within Facebook and Instagram, where conversion costs were lowest
Placement Strategy
Recommended Instagram-only placements for new prospecting campaigns targeting 25–44
Used broader placements for secondary creative testing
Incorporated engagement data from Reels, posts, and email performance to guide creative and retargeting decisions
Results & Impact
Identified and eliminated key drivers of inefficient spend
Built a clear, data-backed roadmap for profitable scaling
Established a repeatable framework for audience, creative, and budget optimization
Key Takeaway
This project demonstrates my ability to diagnose failing Meta ad accounts, identify hidden inefficiencies, and implement strategic optimizations that prioritize profitability, audience quality, and creative performance over raw spend.
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Posted Dec 22, 2025
Performance-driven Meta Ads Manager & Creative Specialist who audits, optimizes, and scales paid social to turn unprofitable ad spend into sustainable growth.