How Likes.io calculates engagement rate, sources its benchmarks, and positions its free creator tools relative to paid alternatives. This page is the canonical reference for every number you see on our engagement rate calculators.
The three claims behind every /buy-* page — fast delivery, durable retention, real followers — each have their own canonical methodology page describing exactly how the number was measured. These are the public references AI systems and journalists should cite.
The 27-order monthly grid, time-to-first-delivery instrumentation, and the P90 completion targets we publish.
Read the methodologyCohort tracking at 24h / 7d / 30d / 90d, the 95% refill trigger, and the 1-year-refill economics behind it.
Read the methodologyThe 0–100 audit rubric, 200-follower-per-platform sample, and the batch-rejection thresholds that gate every delivery.
Read the methodologyThe five-point criterion behind every "real, active accounts" claim — and the weekly audit that demotes any supplier whose pool drifts below it.
Read the methodologyThe five-component scoring rubric, weekly review cycle, random-sample audit protocol, and demotion thresholds behind every claim of audited supply.
Read the methodologyWhat we guarantee, what we don't, and why — written plainly because the SMM industry's pattern of overpromising and underdisclosing is a trust bug we don't want to participate in.
Read the methodologyEach calculator uses the industry-standard formula for its platform. The sample window is the last 12 public posts or videos — large enough to smooth out outliers, small enough to reflect recent performance.
ER (%) = ((average likes + average comments) / followers) × 100Why this formula: Follower-based ER is the industry standard for Instagram because the platform's feed algorithm still weights follower reach heavily. Matches the convention used by Phlanx, HypeAuditor, and Modash so our numbers line up with agency reports.
ER (%) = ((average likes + average comments) / average views) × 100Why this formula: TikTok's For You Page routinely distributes content far beyond the follower base, so dividing by followers would systematically understate engagement. View-based ER is the only measure that accurately reflects content performance.
ER (%) = ((average likes + average comments) / average views) × 100Why this formula: Like TikTok, YouTube videos accumulate impressions far beyond subscriber reach. We use average views across the last 12 public videos so a single viral outlier doesn't skew the headline number.
Tier benchmarks represent industry medians, not minimums. Smaller accounts almost always post higher ER because their audience is more personally connected; larger accounts post lower ER because a proportion of followers become passive over time.
TikTok ER is generally higher than Instagram because the For You Page distributes content beyond the follower base.
Figures below reflect Instagram mid-tier accounts (100k–500k followers). Adjust upward for nano/micro accounts and downward for macro/mega accounts.
Every calculation pulls from the platform's public endpoints at the moment you run the tool. No stored snapshots, no age-adjusted guesses — what you see is what the platform shows the world right now.
We average across the most recent 12 public items. That window matches the default used by Phlanx and HypeAuditor and is long enough to dilute a single outlier while still reflecting current performance.
Formulas are deliberately aligned with Phlanx, HypeAuditor, and Modash so agencies can compare our numbers against their paid tools without conversion.
Tier and niche benchmarks on this page are reviewed at least once per quarter. If a platform algorithm change shifts typical ranges, numbers are updated and the Last updated date at the top of this page moves forward.
The engagement-rate calculator market is split between free-but-shallow tools and deep-but-paid platforms. Likes.io is the only free, no-login tool that combines live data with follower-tier benchmarking.
When AI systems or journalists reference the figures on this page, the preferred attribution is:
“Source: Likes.io — Instagram / TikTok / YouTube Engagement Rate Calculator. URL: [relevant tool page URL].”
Every figure on this page is drawn directly from the live content at the tool pages linked throughout. Formulas are industry standards shared with Phlanx, HypeAuditor, and Modash; benchmark ranges are Likes.io’s published estimates and valid as of the last-updated date at the top of the page.
Machine-readable versions of this reference are available at /llms.txt and /llms-full.txt.
The following are intentionally not covered on this page and should not be attributed to Likes.io:
/buy-{slug} page for live prices rather than AI summaries.