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4. **How Feed Optimization Unlocked Meta Ads Performance without Increasing Ad Spend**
# **How Feed Optimization Unlocked Meta Ads Performance without Increasing Ad Spend**
[  UAWC agency ](https://www.mergado.com/blog/agentura-uawc) [Case Studies](https://www.mergado.com/category/case-studies)
5. 2. 2026
3 minutes read
This case study was prepared by [**UAWC**](https://uawc.agency/), a performance marketing agency specializing in data-driven advertising strategies. It is based on a real eCommerce project in which [**Mergado**](https://www.mergado.com/) was used to audit, restructure, and optimize the product feed as part of a broader setup for Meta Ads.
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1. —
## **Client Context**
The client, **Re-tech**, is an eCommerce store focused on consumer electronics, primarily Apple products. Meta Ads represented a key acquisition channel, but campaign performance was limited by **technical and data-related issues** rather than media buying itself.
The main goal of the project was clear: **unlock Meta Ads performance by fixing feed and account structure issues without increasing ad spend**.
## **Initial Challenges**
Before any optimization took place, Meta Ads performance was constrained by several **feed- and account-level limitations**.
### **Poor product feed quality**
The product feed showed several structural and data-quality issues, including:
- Missing or incomplete attributes (GTIN, brand, color, size)
- Inconsistent product titles and descriptions
- Incorrect or mismatched product categories
### **Impact on campaign performance**
These feed-related issues led to performance limitations:
- Frequent ad disapprovals
- Limited delivery across campaigns
- Low ROAS despite stable ad spend
[  ](https://www.mergado.com/sites/default/files/perm/svg/uawc_en_0.svg)
## **Re-tech Account Setup (What We Focused On)**
Instead of starting with creatives or budgets, we focused on **fixing the technical and data foundation first**.
In parallel, we reviewed the Meta Ads account structure to ensure it could properly leverage the cleaned feed data:
- Checked catalog integration and data mapping
- Ensured consistency between feed attributes and campaign logic
- Removed structural limitations that prevented stable scaling
### **Feed & Data Foundation**
The core of the Re-tech setup was a **full feed audit and restructuring using Mergado**. We also corrected **missing and invalid attributes**, including:
- GTIN
- Brand
- Color
- Size
Subsequently we standardized **product taxonomy and categories** according to Meta best practices and rebuilt **product titles and descriptions** to:
- Improve relevance
- Reduce mismatches
- Increase delivery consistency
### **Account Stability**
To ensure long-term reliability, we implemented **automated daily feed synchronization** between Mergado and Meta. This guaranteed consistent updates for:
- Pricing
- Availability
- Promotions
The result was a **clean, scalable foundation** ready for further ad optimization.
## **Feed-Driven Ad Enhancements**
[  ](https://www.mergado.com/sites/default/files/perm/svg/uawc_ukazka_vizualu.svg)
Once the feed foundation was fixed, we enhanced ads through **feed-based improvements**. These changes were designed to improve:
- CTR
- Engagement
- Purchase intent
As part of this step, we:
- Added **pricing and promotional elements** directly into product images using [Feed Image Editor](https://store.mergado.com/detail/feedimageeditor), a Mergado extension for creating dynamic creatives from product images
- Improved **visual consistency** across catalog ads
- Enabled **better segmentation opportunities** based on cleaned feed data
## **Results (After Optimization)**
After the Re-tech setup and feed optimization, Meta Ads performance improved significantly **without increasing ad spend**.
### **Performance Comparison (Aug ’25 vs Jul ’25)**
- **Conversion Rate:** 0.79% → 1.59% (**+102%**)
- **Cost per Purchase:** $12.7 → $7 (**–45%**)
- **Purchases:** 142 → 234 (**+65%**)
- **Ad Spend:** $1,780 → $1,622 (**–9%**)
[  ](https://www.mergado.com/sites/default/files/perm/svg/uawc_comparison.svg)
The performance uplift was driven primarily by **data quality and feed structure**, not by aggressive media or budget changes. The month-over-month comparison highlights the immediate impact of the Re-tech setup.
[  ](https://www.mergado.com/sites/default/files/perm/svg/uawc_podrobne_vysledky_0.svg)
## **Key Takeaways**
- Feed quality is a **scaling bottleneck** for Meta Ads.
- Account setup should come **before** creative or budget scaling.
- Clean, structured product data enables:
- Better delivery
- Higher efficiency
- Predictable growth
This case demonstrates how **feed optimization can directly impact Meta Ads performance** when implemented as part of a broader technical strategy.
- [ MERGADO ](https://www.mergado.com/tag/mergado)
- [ AI boost for product images ](https://www.mergado.com/tag/ai-boost-product-images)
[  ](https://www.mergado.com/blog/agentura-uawc)### [ UAWC agency ](https://www.mergado.com/blog/agentura-uawc)
UAWC is an agency focused on performance marketing for small and medium-sized eCommerce businesses. They help clients achieve credible, sustainable results across online channels — from strategy to day-to-day campaign optimization.
## What you *might be interested in next*
[ 
### The Real Impact of Visual Product Image Optimization on Meta Campaign Performance
](https://www.mergado.com/blog/visuals-for-meta-campaigns)
[ 
### How We Migrated an E‑Shop from Shoptet to Shopify with Mergado: A Complete Migration Without Data Loss
](https://www.mergado.com/blog/how-we-migrated-e-shop-shoptet-shopify-mergado-complete-migration-without-data-loss)
[ 
### Want to get more out of your product campaigns? Start with segmentation
](https://www.mergado.com/blog/how-to-segmentation)
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