Maximizing Paywall Efficiency with Machine Learning

Chris Wiggins, Chief Data Scientist at The New York Times, will share their application of machine learning in refining the effectiveness of their digital paywall. Learn how their paywall strategy has evolved over the past decade, where personalised meter limits are now key to enhancing both user engagement and subscription conversions. This session will offer in-depth insights into the data-driven approaches that power these optimisations, providing valuable lessons for technical professionals.
Key Outcomes Discussed:

• Enhancing user engagement and subscription conversions with personalised meter limits
• Leveraging data insights to guide both unregistered and registered users through the subscription funnel
• Balancing engagement and conversion rates through strategic trade-off management
• Mitigating demographic biases with advanced AI techniques
• Implementing historical data backtesting for continuous optimisation and improvement