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Using Archer to Understand Your Benchmarks

Use Archer to quickly analyze your benchmarks and understand performance trends

Written by Nicole Soria
Updated over a month ago

Benchmarks show you how your posts are performing relative to your own historical content. Archer helps you go further by explaining why performance is up or down and recommending what to do next.


What Are Benchmarks?

Measure Studio automatically calculates a Normal Range for each post based on the median performance of your recent content. Posts are categorized as:

  • 🟒 Doing Great: More than 20% above the median

  • βšͺ About Average: Within Β±20% of the median

  • πŸ”΄ Could Do Better: More than 20% below the median

Benchmarks are available for the first 90 days of a post's life and require a minimum of 10 posts of a given type to generate. They're recalculated weekly.

You can find benchmarks:

  • On the Posts page β€” green or red outlines on posts, filterable by Performance

  • On the Post Detail page β€” per-metric highlights with a multiplier showing how far above or below the range the post sits

  • On your Dashboard β€” via the Benchmark Widget in Post Groups and the Trends tab


How Archer Uses Your Benchmark Data

Archer has full access to your performance data including benchmark signals and can explain what's driving performance shifts and prescribe next steps.

Ask Archer things like:

  • "Why is my reach down this week?"

  • "What do my best-performing posts have in common?"

  • "Which content types are consistently in the 'Doing Great' range?"

  • "How has my TikTok engagement trended over the last month?"

  • "What should I post next based on current performance?"

Archer pulls the relevant data, identifies patterns across your content (including visual analysis via computer vision), explains the why, and prescribes specific actions.


Tips for Better Benchmark Questions

  • Be specific about timeframes: "last month" or "Q1" yields more precise answers than "recently"

  • Specify the platform: Performance norms vary significantly by platform.

  • Ask follow-ups: Archer retains context within a conversation, so drill down after a summary

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