Case Study: Kave Home achieves 6x more Facebook conversions with SegmentStream

How a fast-growing furniture and decor brand Kave Home implemented SegmentStream to understand the true incremental value of all marketing channels and improve the results of performance marketing campaigns

Kave Home, a fast-growing furniture and decor e-commerce brand, faced a significant challenge in accurately attributing revenue to its upper-funnel Facebook Ads campaigns. Due to customers frequently switching from mobile to desktop devices to complete purchases, traditional cookie-based attribution tools were undervaluing these efforts, forcing their performance team to optimize based on gut feeling. To solve this, they partnered with the vendor SegmentStream and implemented its AI-powered marketing mix optimization platform.

The solution from SegmentStream used machine learning to analyze user behavior and first-party data, providing a true measure of each channel's incremental revenue contribution. This allowed Kave Home to optimize its campaigns based on reliable data, which resulted in a dramatic 6x increase in Facebook conversions and a positive improvement in Return On Ad Spend (ROAS).

Kave Home

Anna Nogueras

Traffic Manager