RJNSLearn what performs.
Measure what stands out.
Use practical tools, competitor research guides and transparent performance research to understand why some Instagram posts stand out from an account's normal results.
Free analysis tools
Calculate and interpret engagement, view rate, post performance and outlier signals with clear formulas and assumptions.
Explore Tools →GUIDESCompetitor research guides
Learn how to choose comparable accounts, read Instagram metrics, find standout posts and turn observations into content hypotheses.
Explore Guides →RESEARCHBenchmarks & original data
Follow RJNS methodology and future aggregated studies on engagement, Reels performance and content outliers.
Explore Research →Start with a specific research task.
Use followers or reach as the denominator and see the exact formula.
Follow a seven-step framework from competitor selection to content experiments.
Identify absolute winners and account-relative outliers worth studying.
Use a format-specific workflow and compare Reels with Reels.
Start with the question you need to answer.
Instagram performance can look very different depending on whether you need a quick calculation, a repeatable research method, or evidence for a benchmark.
Use Tools to work through engagement rate, view rate and outlier comparisons.
Use Guides to learn how to compare competitors and interpret the metrics correctly.
Use Research for transparent methodology and aggregated findings as RJNS datasets mature.
Go directly to the RJNS analyzer and rank a public account's recent posts.
Primary metrics first. Derived signals second.
RJNS starts with observable Views, Likes, Comments and available Shares. Derived measures such as engagement rate or outlier multiplier are useful only when the formula, denominator and missing-data assumptions are clear.
- Compare like with like whenever possible: similar formats, periods and account contexts.
- Treat missing metrics as unavailable rather than silently converting them to zero.
- Use ratios and outlier signals to add context, not to hide the raw numbers.
- Separate observations from conclusions so a strong post becomes a hypothesis to investigate, not a guaranteed formula to copy.
Need the product, not the theory?
Analyze recent posts from a public Instagram account and compare Views, Likes, Comments, Shares and outlier signals.