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Modern e-commerce platforms are inherently data-intensive, driven by millions of user searches, clicks, and transactions across web and mobile channels. Customer experience, revenue conversion, and operational efficiency are increasingly determined by how effectively teams can search, analyze, and visualize behavioral data in real time.
In this webinar, we’ll explore how Elasticsearch and Kibana empower e-commerce teams to transform raw search and interaction data into actionable insights. Using real-world analytics such as query volume trends, click-through rates (CTR), top search terms, and geographic user distribution, we will demonstrate how Kibana enables business, product, and engineering teams to understand customer intent, optimize search relevance, and improve conversion outcomes.
- Designing scalable e-commerce analytics dashboards using Kibana Lens and Maps
- Visualizing search performance metrics such as query volume, clicks, and CTR
- Identifying low-performing and zero-result searches through interactive filtering
- Analyzing customer search behavior across time, geography, and segments
- Using Kibana to correlate search engagement with business outcomes
- Proactively monitoring search relevance
This session is designed for e-commerce product owners, search engineers, data engineers, and business analysts who want to:
- Transform raw search and click logs into structured, searchable datasets
- Build dynamic, real-time e-commerce analytics dashboards in Kibana
- Measure and improve search relevance using CTR and engagement metrics
- Gain deep visibility into customer intent and behavior
- Leverage Elastic as a unified platform for search analytics, visualization, and operational intelligence
Speakers
Dhruvi Khairikar is a highly skilled Elastic Engineer and Elastic Certified Observability Engineer, specializing in DevOps, cloud solutions, and software engineering. As a key contributor to Hyperflex, she focuses on Elastic Stack (ELK), AWS architecture, performance tuning, and scalable observability solutions.
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Sarvagya is an Elastic Engineer at Hyperflex, and an Elastic Certified Observability Engineer with a strong track record in designing scalable data pipelines, building impactful Kibana dashboards, and improving system observability for enterprises. He brings deep expertise in Elasticsearch, Logstash, and Kibana, along with hands-on experience leading anomaly detection, Elastic ML jobs, optimized clusters for performance and cost efficiency, and enabled teams to unlock the full potential of Elastic for monitoring and alerting.