No data? No AI. The importance of registering readers before even considering subscription propensity modeling…
AI brings about a world of opportunities, but intelligence needs fuel. Namely, data.
Ask the experts: what are the most valuable engagement metrics to measure in a subscription model?
We asked industry experts about how to connect engagement to revenue and which KPIs publishers should track in a reader revenue model
Why recirculation should be one of your KPIs and how to increase it, with takeaways from The Independent
The real-time metric that leads to higher engagement, loyalty and propensity to subscribe - all of which directly correlate with revenue
The Conversion Funnel Benchmark Report: compare your performance to 85 digital publishing brands
How do your paywall KPIs compare to others in the market? Where in the funnel do you need to optimize performance? Poool's benchmark report reveals all.
Audience research at The Atlantic: The questions that data can’t answer
Exclusive interview with Gina Bulla, executive director of audience research at The Atlantic
Building a collaborative data culture at News UK
Joe is Lead Business Analyst across the Data Technology team at News UK and has recently been particularly…
Benchmarking Digital Subscriptions: An improved framework based on subscriptions per 1,000 visits
Markus Schöburl presents how digital reach and number of visits can be combined to better benchmark the success of digital publishers' subscription mode
User research: How The Conversation used a decision-first approach to inform two key products
Make your research process more efficient, unlock collect valuable data-points, and inform multiple products through this decision-first research approach
Paywall visibility rate: the essential KPI you should be tracking in your subscription strategy
Tracking and optimizing both premium content visibility and paywall visibility rate will help move users through the funnel towards subscribing in the future.
The art of generating data insights (from an analyst/marketer point of view)
More data has been created in the last 2 years than in the entire history of humanity, but most analysts don't know how to turn this data into insights