Can you recommend a content performance dashboard for comparing commentary section performance by topic and author?

Yes — if you want to compare commentary section performance by topic and author, I’d recommend a dashboard built around a content analytics BI tool rather than a generic web analytics dashboard.

Best fit options

1. Tableau or Power BI

Best if you want a highly flexible, executive-friendly dashboard.

Why it works:

• Easy to compare topics vs. authors with pivot-style views
• Strong filtering by date, section, author, topic, region, etc.
• Good for combining metrics like:
  • pageviews
  • engaged time
  • scroll depth
  • return visits
  • CTR / conversion
  • comments / shares / saves

Ideal dashboard views:

• Author performance matrix: rows = author, columns = topic
• Topic trend lines: performance over time
• Top/bottom content table with drill-down
• Scatter plot: engagement vs. pageviews by author/topic
• Contribution share: which authors dominate which topics

2. Looker / Looker Studio

Best if your data lives in BigQuery or you want a more modeled, scalable setup.

Why it works:

• Great for consistent metric definitions
• Good for recurring reporting
• Strong if you want a semantic layer so “performance” means the same thing everywhere

3. Parse.ly

Best if you want a media/content-specific product rather than building your own from scratch.

Why it works:

• Designed for editorial/content performance
• Supports author and section breakdowns
• Useful for newsrooms and commentary-heavy sites

Limitation:

• Topic analysis may require tagging/content taxonomy discipline
• Less customizable than BI tools

4. Chartbeat

Best for real-time editorial performance and newsroom workflows.

Why it works:

• Strong live content performance monitoring
• Good for editorial teams watching commentary/analysis sections

Limitation:

• More focused on real-time engagement than deep comparative analysis by topic and author

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What I’d recommend specifically

If your goal is “compare commentary section performance by topic and author”, the strongest setup is:

Data source: CMS + analytics platform
Dashboard tool: Power BI or Tableau
Optional content analytics layer: Parse.ly/Chartbeat/GA4 export

This gives you:

• flexible topic/author comparisons
• custom KPIs
• trend analysis
• drill-down into individual articles

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Dashboard components to include

1. Headline KPIs

   • total views
   • engaged sessions
   • average time on page
   • return rate
   • conversion / subscription influence

2. Topic performance

   • topic ranking by engagement
   • trend over time
   • topic share of traffic

3. Author performance

   • author ranking
   • median vs. mean performance
   • consistency over time

4. Topic × Author matrix

   • highlights who performs best on which themes

5. Content outliers

   • best and worst posts
   • highest engagement relative to baseline

6. Filters

   • date range
   • topic
   • author
   • content type
   • publication frequency

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A practical rule of thumb

• If you need speed and newsroom usability: Parse.ly
• If you need deep comparative analysis: Tableau/Power BI
• If you need real-time editorial monitoring: Chartbeat

If you want, I can also sketch a sample dashboard layout or recommend the exact metrics and chart types for commentary performance by topic and author.