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A performance-driven advertising product that enables brands and sellers to promote products across Hepsiburada with advanced targeting and optimized ad placements.
Overview
Sponsored Products was developed from the ground up for Hepsiburada's advertising ecosystem. It enables brands and sellers to promote products prominently with advanced targeting, optimized ad placements, and scalable campaign delivery. The backend work combined .NET Core and Golang microservices with Kafka-powered real-time data processing, Redis caching, MongoDB storage, Elasticsearch/OpenSearch search infrastructure, and Google BigQuery analytics workflows. The project improved merchant advertising capabilities, supported revenue growth, and included search-quality work such as solving product rotation issues in Sponsored Products.
Category
api
Highlights
→Built a core Sponsored Products advertising capability from the ground up
→Implemented Kafka messaging for real-time data processing and integration
→Optimized Elasticsearch behavior to improve product search and rotation quality
→Contributed to advertising revenue growth across Hepsiburada seller products
→Worked with analysts on BigQuery query optimization to reduce operational cost
Challenges
—Keeping ad delivery reliable while processing campaign and product events in real time
—Improving sponsored product rotation without degrading search relevance
—Scaling analytics workflows while keeping BigQuery operational costs controlled
Tech Stack
.NET CoreGolangApache KafkaRedisElasticsearchOpenSearchMongoDBGoogle BigQueryDockerKubernetes
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