1. Aggregate public engagement
reactions + comments + shares
Nonli uses the public engagement counters available for every analyzed post on the selected network during the last 30 days.
Automatic comparison for publishers
Compare the engagement of two media accounts
Enter two Facebook pages or Instagram accounts. Nonli automatically compares their last 30 days using the same network, period and formula, then shows which account generates more engagement per post relative to its audience.
Methodology reviewed:
Compare two media accounts automatically
No social account connection is required. The identifiers are sent securely to Nonli's API to retrieve public aggregate metrics; the API token always remains on the server.
Transparent methodology
One strict formula applied to both accounts
Nonli retrieves public Facebook or Instagram aggregates for the same rolling 30-day period. It applies the exact same calculation to both accounts, avoiding the incompatible denominators and time windows that make manual comparisons misleading.
2. Normalize by publishing volume
total engagements ÷ published posts
The comparison first calculates average engagement per post, so a highly active account does not win merely because it publishes more often.
3. Normalize by audience
average engagements ÷ followers × 100
The final rate shows how much engagement each average post generates relative to the current follower base, using the same denominator for both accounts.
A percentage is not a universal performance verdict
Network, audience size, editorial topic, format, distribution, period and the actions counted as engagement all change the result. A useful benchmark states every one of those choices instead of applying a generic good-or-bad threshold.
Why this public comparison uses followers rather than private reach data: Meta's official distinction between reach and impressions
How publishers should use the result
Use the head-to-head result
The comparator locks the network, 30-day window, engagement definition and denominator so the account-level difference is immediately interpretable.
Separate distribution from resonance
Pair engagement rate with clicks, sessions, reach and publication volume so a strong percentage is not mistaken for total traffic impact.
Read trends before isolated posts
Use consistent weekly or monthly cohorts to distinguish repeatable editorial performance from one exceptional publication.
Keep the evidence visible
Nonli displays the posts analyzed, total and average engagements, followers and final rate for both accounts instead of returning an unexplained score.
Media engagement rate calculator FAQ
What counts as a social media engagement?
Reactions or likes, comments and shares are the most portable definition. Clicks, saves, private messages and platform-specific actions can be included only when the same data is available for every item being compared.
How does the automatic account comparison work?
Nonli retrieves public engagement, publication and follower aggregates for both accounts over the same last 30 days. For each account, it divides total engagement by published posts, then divides that average by followers and multiplies by 100.
Can engagement rate exceed 100%?
Yes. One person can perform several actions, and a post may reach people beyond its follower base. A rate above 100% is mathematically possible and should trigger a check of the formula and data scope, not automatic rejection.
Do I need to connect the Facebook or Instagram accounts?
No. Enter a public handle or profile URL. The website calls Nonli's API from the server, and the API credential is never exposed in your browser. The comparison works when Nonli has enough public posts for both accounts during the period.
What is a good engagement rate for a media publisher?
No single threshold is valid across publishers. Compare the same network, denominator, audience scale, content format, period and engagement definition, then relate the trend to traffic and editorial objectives.
Turn the rate into an editorial decision
Nonli connects engagement, clicks, traffic and publishing choices so newsroom teams can understand what performed and improve the next distribution cycle.
See Nonli with your data