RJNSRJNS
FREE INSTAGRAM TOOLS

Turn Instagram metrics
into useful signals.

Use focused calculators and the RJNS analyzer to compare performance without losing sight of the raw metrics behind the result.

LIVE NOW

Instagram competitor snapshot

The RJNS analyzer ranks recent posts from a public Instagram account using Views, Likes, Comments and available Shares, then adds derived engagement and outlier context.

Analyze a public Instagram account

Start with the latest 10 posts for free. No Instagram login is required.

Open analyzer →
CALCULATORS

Useful calculations for content research.

Use transparent formulas for common Instagram comparisons, then move into account-level analysis when you need the posts behind the numbers.

LIVEInstagram Engagement Rate Calculator

Calculate engagement rate by followers or reach and see the exact formula used.

COMINGInstagram Outlier Calculator

Compare one post with a baseline and express the difference as a multiplier such as 2× or 5×.

COMINGInstagram View Rate Calculator

Normalize views against an audience or exposure denominator when that context is available.

COMINGPost Performance Calculator

Compare multiple primary metrics while keeping the calculation explainable.

METRIC DEFINITIONS

The formulas should be visible, not mysterious.

Different formulas can produce different answers, so every RJNS calculator should state exactly what is being divided by what.

EngagementLikes + Comments + Shares
Engagement rateEngagement ÷ chosen denominator × 100
Outlier multiplierPost performance ÷ comparable baseline performance
View rateViews ÷ chosen audience or exposure denominator × 100

Important: engagement rate can use different denominators. Always check whether the calculation uses followers, reach, impressions, views, or another baseline before comparing two figures.

RELATED RESOURCES

Use tools with context.

Instagram competitor analysis guide

Learn how to choose comparable accounts and turn performance patterns into research hypotheses.

Research

Follow RJNS benchmark methodology and aggregated findings as the research dataset grows.