Analytics Pages Overview

The Analytics module provides insights into performance across partners, publications, and articles.

All analytics pages share a common layout and features:

  • 📈 Answers Over Time Chart – a line graph showing the number of answers generated across the selected timeframe and granularity (Day, Week, Month).
  • 📊 Performance Table – sortable table with relevant metrics.
  • 📥 Export Option – ability to download the data for offline analysis.
  • 🧭 Purpose – each page supports decision-making by surfacing performance and engagement metrics.

The following table shows the details of all 3 analytics pages:

Analytics PageScopePerformance Table columnsUse Case
Partner SummaryAggregates metrics for all publications in a partner group.Publication name, Answer count, Average attribution, Citation CTR.Identifying top and underperforming publications within a partner’s portfolio.
Publication DetailFocuses on a single publication over time.Date, Publication, Answer count, Average attribution, Citation CTR.Monitoring performance trends for a specific publication and detecting shifts in engagement.
Article DetailTracks the top 100 articles within a publication.Article title, Answer count, Average attribution, Citation CTR.Pinpointing which individual stories drive audience engagement and refining editorial strategy.

💠 Columns explanation:

  • Publication Name – clickable links to individual publication views.
  • Date - the specific date (or time bucket, depending on granularity) when the data was recorded.
  • Article Title - the headline of the article being analyzed.
  • Answer Count – total number of answers generated in the chosen period.
  • Average Attribution (%) – proportion of credited answers or mentions.
  • Citation Click-through Rate (%) – rate at which users clicked cited links.

✨ By keeping a consistent structure, users can easily move between partner, publication, and article views while focusing on the level of granularity most relevant to them.