August 2019 Summaries

Travel companies are increasingly leveraging data unification to gain a comprehensive view of the customer journey, enhancing their ability to deliver personalized and relevant experiences. By integrating data from various sources, such as web, mobile, CRM, and booking systems, companies create a detailed picture of consumer behavior, enabling them to tailor dynamic experiences. Online travel agencies (OTAs) are perceived as offering more relevant experiences than traditional travel companies due to their ability to use real-time, cross-device, and multi-channel data. This capability allows OTAs to adapt their offerings to meet individual consumer needs. Tools like Snowplow facilitate this process by providing granular, first-party data collection and the ability to stitch past and present data together, thus constructing a comprehensive end-to-end customer view. This approach not only aids in achieving a single customer view but also enhances attribution, customer lifetime value analysis, and predictive insights. Travel startups, such as Tripaneer, utilize these capabilities to understand customer journeys, optimize marketing strategies, and influence customer experiences through real-time data-driven insights.

Media companies face significant challenges in accurately measuring audience engagement, particularly with the "time spent" metric, which is commonly miscalculated by first-generation analytics tools like Google Analytics and Adobe Analytics. These tools typically measure the time between pageviews to estimate engagement, often resulting in underreported metrics that can mislead editors into prioritizing clickbait content over more substantive pieces. A more precise method, such as using "page pings" that regularly send beacons while a user remains engaged, can yield better insights into actual time spent with content. Although technological advancements now allow for the collection and processing of more detailed data, many established analytics platforms have not adopted these newer methods due to their origins in the data processing limitations of the 1990s. An example of innovation in this space is The Globe & Mail's proprietary analytics platform, Sophi, which uses Snowplow for data collection and provides real-time feedback and deeper analytical insights to better support editorial decisions.