Modash Engagement Rate Calculator

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Influencer Engagement Rate Calculator
Engagement Rate 0.00%
Performance Verdict
Total Interactions (Avg) 0

About the Modash Engagement Rate Calculator

In the world of influencer marketing, vanity metrics like follower counts are becoming less relevant. Brands and marketers now prioritize the Engagement Rate (ER). This calculator helps you determine the percentage of an audience that actively interacts with content, similar to tools like Modash, HypeAuditor, or SocialBlade.

How is Engagement Rate Calculated?

The standard formula used by most analytics platforms to calculate the engagement rate per post is:

ER = ((Likes + Comments) / Total Followers) * 100

This formula aggregates the total interactions (likes and comments) on a post and divides it by the total number of followers. The result is multiplied by 100 to get a percentage.

What is a Good Engagement Rate?

Engagement rates vary significantly depending on the platform (Instagram, TikTok, YouTube) and the size of the influencer's audience (Nano, Micro, Macro). General benchmarks include:

  • Less than 1%: Generally considered low engagement. This often indicates inactive followers or a purchased audience.
  • 1% – 3.5%: This is the industry average. It indicates a healthy, active audience.
  • 3.5% – 6%: High engagement. These influencers have a very loyal fanbase.
  • Above 6%: Viral or "cult" status. Often seen with Nano influencers or viral content creators.

Why Marketers Use Modash-style Analytics

Tools like Modash are essential for vetting influencers before running campaigns. They help detect:

  • Fake Followers: A high follower count with a disproportionately low engagement rate often signals bot activity.
  • Audience Quality: Higher engagement implies that the audience trusts the creator, leading to better conversion rates for sponsored products.
  • Campaign ROI: Understanding ER helps in forecasting the potential reach and impact of a marketing campaign.

Use this calculator to quickly vet profiles, audit your own social media performance, or prepare data for a media kit.

function calculateEngagement() { // Get input values var followers = document.getElementById('followerCount').value; var likes = document.getElementById('avgLikes').value; var comments = document.getElementById('avgComments').value; // Validation if (!followers || followers <= 0) { alert("Please enter a valid follower count greater than 0."); return; } if (likes === "" || comments === "") { alert("Please enter average likes and comments. Enter 0 if none."); return; } // Parse numbers var numFollowers = parseFloat(followers); var numLikes = parseFloat(likes); var numComments = parseFloat(comments); // Calculate Logic var totalInteractions = numLikes + numComments; var engagementRate = (totalInteractions / numFollowers) * 100; // Determine Verdict var verdictText = ""; var verdictClass = ""; if (engagementRate = 1 && engagementRate = 3.5 && engagementRate < 6) { verdictText = "High"; verdictClass = "verdict-good"; } else { verdictText = "Viral / Excellent"; verdictClass = "verdict-high"; } // Update DOM document.getElementById('resultRate').innerText = engagementRate.toFixed(2) + '%'; document.getElementById('resultInteractions').innerText = totalInteractions.toLocaleString(); var verdictEl = document.getElementById('resultVerdict'); verdictEl.innerText = verdictText; verdictEl.className = 'verdict-tag ' + verdictClass; // Show result box document.getElementById('resultBox').style.display = 'block'; } function resetCalculator() { document.getElementById('followerCount').value = ''; document.getElementById('avgLikes').value = ''; document.getElementById('avgComments').value = ''; document.getElementById('resultBox').style.display = 'none'; }

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