# Engagement Rate Calculator

> Compute engagement rate from likes, comments, shares, and follower count, with platform-aware context for Instagram, TikTok, YouTube, and Telegram.

Source: https://influtics.com/llm/tools/engagementRate.md

The Engagement Rate Calculator takes the four interaction counts a platform exposes
— likes, comments, shares, and the follower count behind them — and turns them
into a single percentage that normalises across audience sizes.

## Formula

`ER = (likes + comments + shares) / followers × 100`

Each interaction is weighted equally. There are weighted variants (likes-only,
or weighted formulas that double-count saves) but the simple-average formula
above is the one brands actually screen against, so this is what the
calculator emits.

## Inputs

- **Followers** — current subscriber / follower count of the account
- **Likes** — total likes on the post being evaluated
- **Comments** — total comments on that post
- **Shares** — total shares / reposts (some platforms call this "reposts" or
  "sends"; treat them as the same input)
- **Platform** — Instagram, TikTok, YouTube, or Telegram. The platform
  selector drives the contextual band shown next to the result.

## Output

A single engagement-rate percentage and a contextual label that compares the
result to typical bands for the selected platform:

- **< 0.5%** — below the typical floor for established accounts on the chosen
  platform
- **0.5% – 1%** — low / suspicious on TikTok, normal-ish on Instagram and
  YouTube
- **1% – 3%** — typical for micro and mid accounts on the chosen platform
- **3% – 6%** — strong; common for nano and high-engagement micro accounts
- **> 6%** — exceptional; double-check that the follower count is real and
  the post is not artificially boosted

The contextual band is the same calculation a brand manager would apply
manually; the calculator just makes it explicit so a less experienced reviewer
does not have to memorise the thresholds.

## When to use it

- Screening a shortlist of creators before requesting rate cards: ER is the
  single fastest filter for "this audience is real or this audience is bought"
- Comparing two creators of different sizes — a 50k creator with 3% ER
  outranks a 5M creator with 0.4% ER on the metric brands care about
- Sanity-checking a campaign report: if average ER across the campaign is
  < 1% on TikTok or < 0.5% on Instagram, the influencer may have inflated
  follower counts and the campaign under-delivered
- Pre-publish forecast: spot-check the latest 5–10 posts of a creator with
  the same calculator; the median ER is a much better predictor of campaign
  performance than ER on a single hero post

## Worked example

A micro TikTok creator has 80,000 followers. Their last sponsored post got
6,400 likes, 320 comments, and 1,100 shares.

ER = (6,400 + 320 + 1,100) / 80,000 × 100
ER = 7,820 / 80,000 × 100
ER ≈ **9.78%**

That sits comfortably above TikTok's typical 4%–8% band for established micro
accounts — the creator's audience is engaged enough to be worth a premium in
the rate-card conversation. The same numbers on a 2M-follower Instagram
account would be unremarkable (≈0.39%, below the 1% floor).

## Limitations

- The formula does not weight by interaction type. A weighted formula that
  counts saves at 2× and comments at 1.5× exists but is not what brands
  default to, so this calculator deliberately does not emit it.
- Single-post ER is noisy. Average across the latest 5–10 posts for a stable
  number.
- Reach-based ER (interactions / reach instead of / followers) is better for
  evaluating a single post, but platforms rarely expose reach for organic
  posts.

## Related

- Rate Card Calculator: https://influtics.com/llm/tools/rateCard.md
- Influencer Tier Classifier: https://influtics.com/llm/tools/influencerTier.md
- Page: https://influtics.com/tools/engagement-rate