RJNSInstagram Reels
Competitor Analysis
Find which competitor Reels deserve a closer look. RJNS lets you analyze a public account, separate Reels from other formats, compare visible performance metrics and identify account-relative outliers.
Use RJNS to analyze recent posts from a public Instagram account, then filter the results to Reels. Compare Views, Likes, Comments and available Shares, and use derived Engagement, ER and Outlier Multiplier as additional context. No competitor Instagram login is required.
Analyze competitor Reels now.
Start with a public account, run the recent-post analysis, then select Content type → Reels in the results.
Compare Reels with Reels
A Reels-specific workflow matters because content formats can behave differently. If a competitor's Reels routinely receive much more visible distribution than its static posts, mixing every format into one ranking can hide the question you actually want to answer.
Start by filtering to Reels, then ask which metrics and relative patterns distinguish the strongest posts within that format.
Find Reels with the strongest visible distribution in the analyzed sample.
Compare visible interaction after the Reel was distributed.
Use public share data when it is exposed; keep unavailable values distinct from zero.
Use the combined interaction total as derived context when the inputs support it.
Normalize interactions only when the denominator and formula are explicit.
Identify Reels that materially exceed a comparable account baseline.
A practical Reels competitor workflow
Run an RJNS Latest Snapshot on the account you want to study.
Use the Content type filter so static images and carousels do not dominate or distort a Reels-specific question.
Views answer a different question from Likes, Comments or Shares. Start with the metric that matches your research goal.
A Reel that performs 3× above an account's comparable baseline may be more interesting than a larger absolute Reel that is typical for a much bigger creator.
Study the opening idea, topic, visual structure, caption angle and timing of the strongest Reels.
Use the competitor result to generate a hypothesis for your own content—not to assume the same creative will transfer unchanged.
What public Reels analysis cannot show
RJNS does not claim access to a competitor's private Instagram Insights. Public account analysis should not be confused with first-party analytics.
| RJNS public research | Do not assume RJNS has |
|---|---|
| Visible Views when available | Audience retention curve |
| Likes and Comments | Private reach or impressions |
| Available public Shares | Saves when they are not public |
| Content type and post date | Audience demographics |
| Derived Engagement / ER / Outlier context | Conversions, revenue or private account outcomes |
This limitation is useful: it keeps competitor research focused on what can actually be observed and compared from public content.
How to find the competitor Reels worth studying
Do not stop at the single Reel with the highest view count. Look for repeated evidence:
- several high-view Reels around the same topic;
- unusually strong comment response compared with the account's normal Reels;
- multiple outlier Reels using a similar opening structure;
- a format or recurring series that repeatedly beats the account baseline;
- creative ideas that also perform across more than one competitor.
For the broader method, read how to find best-performing Instagram posts and the full Instagram competitor analysis framework.
Instagram Reels competitor analysis FAQ
RJNS is designed for public Instagram account research and does not require the competitor's Instagram password.
No. Retention and watch-time details are first-party metrics unless Instagram exposes them publicly. RJNS does not imply access to private competitor Insights.
Use both when they answer useful questions. Views show visible distribution, while interactions describe response. Relative outlier context can help identify what is unusual for the account.
No. RJNS analyzes observed performance. It can help you find Reels that already outperformed a baseline, but it does not promise predictive virality.
Build a stronger Reels research workflow
Find competitor Reels that stand out.
Run an RJNS snapshot, filter to Reels and compare the public metrics behind the strongest content.