Industry:
Consumer electronics
Focus:
Advertising and marketing
SurrealDB's multi-model engine helps Samsung Ads build dynamic, real-time knowledge graphs for smarter campaign execution by unifying content, user, and device graphs inside a single, high-performance layer. Native vector search, live queries, and rich graph traversal allow engineers to build, test, and deploy bespoke audiences on the fly - collapsing three legacy data stores into one and slashing total cost of ownership.
Legacy systems require complex, multi-step queries to retrieve the data needed for campaign analysis, often resulting in delayed insights and suboptimal audience targeting.
Customer profiles and behaviour data were stored in siloed systems, making it difficult to build a unified view of target audiences.
Inability to segment audiences effectively resulted in high ad spend with suboptimal returns.
Existing analytics platforms were rigid and unable to adapt to the company’s evolving marketing strategies.
Used SurrealDB's graph database capabilities to create a knowledge graph that linked audience data across platforms.
Enhanced data querying speeds with SurrealDB's key-value capabilities, enabling marketers to retrieve insights in seconds.
Developed tools for dynamic audience segmentation and real-time campaign performance tracking.
Replaced legacy systems with a unified SurrealDB platform, simplifying data management and reducing costs.
Precise audience targeting increased ROI by 25%, saving millions in annual ad spend.
Query times were reduced from hours to seconds, allowing for real-time campaign adjustments.
Eliminated the need for multiple analytics platforms, cutting operational costs by 30%.
Unified data provided a 360-degree view of customers, enabling deeper personalisation and engagement.