International Conference on

Big Data Analytics for Digital Marketing (ICBADM-26)

16th – 17th Sep 2026 | Toronto, Canada | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Big Data Analytics in E-commerce

This track explores the application of big data analytics in enhancing e-commerce platforms. It focuses on how data-driven insights can optimize customer experiences and drive sales.

Track 02

Consumer Behavior and Predictive Analytics

This session delves into the role of predictive analytics in understanding consumer behavior. It aims to uncover patterns that can inform marketing strategies and improve customer engagement.

Track 03

Data-Driven Marketing Strategies

This track examines the development of marketing strategies based on data analytics. It highlights case studies that demonstrate the effectiveness of data-driven decision-making in achieving business objectives.

Track 04

Market Trends and Business Intelligence

This session focuses on leveraging business intelligence tools to identify and analyze market trends. Participants will discuss methodologies for translating data into actionable insights for strategic planning.

Track 05

Operational Efficiency through Data Mining

This track investigates how data mining techniques can enhance operational efficiency in businesses. It emphasizes the importance of extracting valuable information from large datasets to streamline processes.

Track 06

Personalization in Digital Marketing

This session explores the significance of personalization in digital marketing campaigns. It discusses how big data analytics can facilitate tailored marketing efforts that resonate with individual consumers.

Track 07

Marketing Automation and Analytics Platforms

This track examines the integration of marketing automation tools with analytics platforms. It aims to showcase how these technologies can optimize marketing efforts and improve ROI.

Track 08

Revenue Growth through Data-Driven Decisions

This session focuses on strategies for driving revenue growth through informed, data-driven decisions. It highlights best practices for utilizing analytics to enhance financial performance.

Track 09

Customer Insights and Engagement

This track delves into the methodologies for deriving customer insights from big data. It emphasizes the importance of understanding customer preferences to enhance engagement and loyalty.

Track 10

Challenges in Big Data Analytics for Marketing

This session addresses the challenges faced by businesses in implementing big data analytics for marketing purposes. It encourages discussions on overcoming barriers to effectively harness data.

Track 11

Future Trends in Digital Marketing Analytics

This track explores emerging trends in digital marketing analytics and their implications for businesses. It aims to provide insights into the future landscape of marketing in a data-driven world.

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