Meaningful marketing impact relies on cross-functional alignment in strategy and alignment in measurement. This session will showcase new analyses and learnings from the LinkedIn Insights Team to help teams better plan, execute, and measure their marketing efforts.
Pokeman showed the world that extended reality has a truly immersive market. Fast forward to 2020, XR has hit a stage for exponential growth. This new creative palette comes with an emotional impact and a new set of analytics challenges. Prahlad and Harish dive into eye-tracking, custom events, and object tracking that help brands and retailers extend their reach to geographically dispersed participants. It won’t be long until you are faced with the XR analytics challenges of processing large data, specialized platform requirements, and the potential security hazards when retina scans are used for authentication. Be prepared!
Many of us have bought a lottery ticket just for fun. Or maybe when there’s a big jackpot. How we play the Lottery is one thing; why we play the Lottery is another. If you sell Lottery tickets, you need to understand both so you can communicate most effectively with the right message in the right place at the right time. Neil, back by popular demand, divulges how the Belgian National Lottery created behavioral segmentation models for their online customers to understand opportunities for upsell, cross-sell, and reactivation. Neil dives into combining attitudinal and behavioral data to build communication strategies based on an individual’s playing behavior, allowing the Belgian National Lottery to be more relevant and timely – and effective.
Gabi and Leah share their radical approach to building data culture at high-growth companies, fueled by their belief that data is often the least important part of building a data-driven organization. If, for example, you woke up tomorrow and your organization’s data was suddenly perfect and every single employee was a SQL expert, would anything change? Would your colleagues know how to identify the most impactful problems, or ask the right questions of their data? Simply making data accessible isn’t enough; you need to create an active community of employees who are empowered and motivated to use data to solve problems. They tell the tactical story of how their grassroots data innovation program grew from ad-hoc onboarding support to a global network of data evangelists, and some lessons learned along the way.
From Behavioral Analytics, to Enterprise Reporting, to Voice of Customer and now In-Store tracking, Gary has spent almost three decades pushing the frontier of analytics. Along the way, he’s failed at almost every aspect of doing, explaining, and operationalizing analytics which leads to a lot of wisdom. Gary looks at some of his key learnings along with what good, state-of-the-art analytics looks like today. He offers up what not to do (and, yes, some of what to do) when tackling Customer Journey Mapping, integrating Voice of Customer with Behavioral Data (digital or in-store), building behavioral segmentations, analyzing Customer Lifetime Value, doing (or forgetting about) cohort analysis, setting KPIs, building enterprise reports, organizing your teams, and talking to C-Suite executives. This is an entire analytics PHD in 45 minutes.
Vidya’s analytics journey is one of passion, grit, and hard work. Vidya demystifies the common jargon associated with Data Science, pointing out digital trends and their impact on your career. Capturing, integrating, storing, and mining data are the nuts and bolts of gleaning meaning. But all of those steps are undergoing massive changes in the face of Machine Learning. Learn key strategies and tactics to help direct your choices of tools, techniques and career paths.