In this case study, you’ll learn about how The Economist worked with Lytics to create content hubs that display digital content based on a reader’s interest in particular news topics (e.g., Brexit, Trump, a particular political race, etc.)
Using Lytics content affinity engine plus data science, The Economist was also able to:
- Display offers based on the reader’s subscription status and predictive engagement score, meaning their likelihood to subscribe, based on other readers with behaviors like theirs.
- Offer featured content based not just on topic interest but also using behavioral scoring, giving readers the type of content in the way they want to read it.
- Create a campaign for a free “Back to School Megatech” eBook that produced a 9% click-through-rate and onsite conversion rates were 5-10x higher for Lytics targeted audiences.