The Challenge: Overcoming Meta's Learning Phase & Feed Limitations
U.S. Polo Assn., one of India's leading apparel brands, faced multiple challenges in optimizing their Meta ad campaigns. Each time they modified ad creatives, the campaigns re-entered the learning phase, delaying performance optimization. Additionally, they lacked the ability to customize product titles dynamically and had to rely on their tech team for even minor feed modifications, slowing down their campaign agility.
The Solution
To address these challenges, U.S. Polo Assn. leveraged Vidtech.ai's advanced automation capabilities, enabling them to:
Vidtech.ai's AI-Driven Dynamic Product Ads
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Bypass Meta's Learning Phase
Using VidTech catalog rules, they seamlessly modified product attributes without relying on tech support.
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Enhance Ad Personalization
The platform facilitated dynamic product title adjustments and merchandise filtering for better audience targeting.
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Streamline Campaign Management
A no-code interface enabled their marketing team to take full control over feed modifications and ad customizations
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Automate Product Feed Customization
Using VidTech catalog rules, they seamlessly modified product attributes without relying on tech support
The Results: Enhanced ROAS & Optimized Ad Spend
By integrating Vidtech.ai's AI-powered feed and ad customization tools, U.S. Polo Assn. achieved significant improvements in their Meta campaigns:
39% Reduction in Paid New User CAC
Optimized targeting and feed management led to lower acquisition costs.
1.7x Increase in Campaign ROAS
Higher engagement and better ad relevancy improved revenue generation.
Seamless Ad Updates Without Learning Phase Reset
Faster campaign scaling and reduced downtime.
Improved Product Feed Customization
More precise audience targeting and ad relevance.
Reduced Dependency on Tech Teams
Faster campaign execution and operational efficiency.
Conclusion: Scaling Performance with Vidtech.ai's Dynamic Product Ads
By leveraging Vidtech.ai, U.S. Polo Assn. successfully transformed their Meta advertising strategy, optimizing performance without technical bottlenecks. The ability to automate feed updates, bypass learning phase resets, and enhance ad personalization proved instrumental in achieving scalable growth and higher campaign efficiency.
