Sleeping Soundly on Success: The Vua Nem Story

Summary

Vua Nem, a top mattress retailer in Vietnam, partnered with Meta to test a creative diversification strategy. By mixing vertical creator-led videos with static images in a single ad set, they achieved a 31% lower cost per lead, 74% lower cost per message, and 335% more conversations. This approach prevented ad fatigue and improved engagement signals.

Additionally, they used Messenger Marketing Messages with audience segmentation through partner Pancake, resulting in open rates 1.5-2 times higher than email and 1.6 billion VND in revenue from just 56 orders. The case highlights the power of diverse creative formats and personalized re-engagement.

Analyst Note

This case study arrives at a critical inflection point for performance marketers navigating the intersection of creative fatigue and rising CPMs. What's notable here is Vua Nem's systematic use of creative diversification within a single ad set—not as a one-off test, but as a structured A/B methodology that yielded measurable efficiency gains across multiple KPIs. The 335% increase in conversations, driven by mixing creator-led video with static images, underscores a key implication: the ad delivery algorithm rewards format variety as a signal of relevance, effectively lowering cost per action without scaling budget.

For UA teams, this validates the shift away from optimizing for a single 'hero' creative toward building a portfolio of assets that cater to different audience segments. From a competitive angle, Vua Nem's use of Messenger for re-engagement via tailored loyalty tiers highlights a growing trend: messaging channels are becoming cost-effective replacements for email, especially when paired with segmentation. For ad ops professionals, the practical takeaway is the importance of enabling creative testing at the ad set level, and ensuring that the measurement framework captures downstream conversation quality, not just lead volume.

As iOS privacy changes continue to erode attribution clarity, leaning into platform-native engagement signals (like Messenger conversations) offers a more resilient optimization path.