Beregn din engagementsrate

Instagram engagement rate måler, hvor aktivt dit publikum interagerer med dit indhold i forhold til dit antal følgere. Den tager højde for likes, kommentarer, delinger og gemninger - de fire primære engagement-signaler, som Instagrams algoritme bruger til at bestemme indholdskvalitet og rækkevidde.

En højere engagement rate indikerer, at dit indhold resonerer med dit publikum, og at dine følgere virkelig er interesserede i, hvad du poster. Brands og marketingfolk bruger engagement rate som en nøglemetrik, når de vurderer influencer-partnerskaber og effektiviteten af indholdsstrategier.

Den standardformel for Instagram engagement rate er:

For det mest præcise resultat, brug gennemsnit fra dine sidste 10-12 opslag i stedet for et enkelt opslag. Dette udjævner outliers - et viralt opslag eller et dårligt præsterende - og giver dig en pålidelig baseline.

Nogle marketingfolk beregner engagement pr. rækkevidde (impressions-baseret) i stedet for pr. følger. Den følger-baserede metode er mere udbredt, fordi antallet af følgere er offentligt synligt, hvilket gør det lettere at sammenligne på tværs af konti.

The tier table above tells you what a 50K follower account "should" do on average. But average across industries hides a 4x spread. A 2.1% engagement rate is excellent for a fashion brand at that tier and a disaster for a B2B SaaS account at that tier. Niche context matters more than people admit.

These are the engagement rate bands we see in the wild for accounts in the 10K-100K tier, based on a rolling sample of the accounts our users analyze every week.

• Beauty and fashion: 1.5% - 3.2%. Lower than people expect because the audience is enormous and aspirational. Saves matter more than likes here.
• Fitness and wellness: 2.0% - 4.0%. Driven by save-heavy workout content and a tight, returning audience.
• Food and recipe: 2.5% - 4.5%. Highest save rates on the platform. Reels with on-screen recipe cards regularly clear 6%.
• B2B SaaS: 0.6% - 1.4%. Small but high-intent. Treat clicks-to-website as a more honest signal than likes here.
• Coaches and online education: 1.8% - 3.5%. Comments dominate over likes - quality of comment thread matters more than raw rate.
• Travel: 1.8% - 3.0%. Visual but passive. Saves on guides outperform likes on landscapes.
• Finance, investing, crypto: 1.2% - 2.5%. Volatile. A single market-moving post can 10x the weekly rate.
• Real estate and local services: 0.8% - 1.8%. Lower platform-side, but DM open rate is what actually matters in this niche.

Compare yourself to the closest niche above, not to the platform average. The platform average is dragged up by food and dragged down by enterprise B2B.

"Engagement rate" sounds like one number. There are actually three different formulas in common use, and they answer different questions. Picking the wrong one for your situation is the most common reason people argue about whose engagement rate is better.

If you only have one number to report - for a partnership pitch, an investor update, a creator media kit - use ERF. It is the standard. If you are improving your own content, work in ERR; it is the honest one.

The formula adds likes, comments, shares, and saves together as if they are interchangeable. They are not. Instagram’s ranking model weights them very differently, and the gap has widened in 2026 after the most recent Reels-feed rebalance.

Here is the rough signal weight order from least to most valuable for algorithmic distribution:

• Likes - cheapest signal. The bar to like a post is very low. Likes still count in the rate, but a post with 5,000 likes and 0 saves will not get pushed further by the algorithm.
• Profile visits - not in the formula but a strong intent signal. If a post drives profile visits, the algorithm reads that as "this content made someone want to know who this is."
• Comments - much higher value than likes. A comment takes effort. A reply to that comment from the creator counts twice (in your favor).
• Shares to DM - the algorithm interprets this as social proof - "this is worth sending to a specific person." High weight in Reels distribution.
• Saves - the gold standard. A save is the user telling Instagram "I want to come back to this." Carousels with high save rates are the single most effective post format for growing follower count organically.

If you want to push your engagement rate higher in a way that actually increases reach, optimize for saves and shares-to-DM first. Likes and comments will follow.

Most people get their own engagement rate number wrong. The math is simple - the inputs are where it goes off the rails.

1. Using a single post. One viral Reel will give you a 12% engagement rate and a totally false sense of your baseline. Average at least the last 10 posts.
2. Forgetting saves. Saves are only visible if you own the account or have access to Insights. People auditing other accounts often skip saves, which undercounts engagement by 20-40% in niches like food and finance.
3. Mixing post types. Reels, carousels, and single images perform differently. Compare like-to-like or split the rate by format.
4. Including the latest post. Posts under 48 hours old have not finished gathering engagement. Excluding the most recent post avoids a falsely low number.
5. Comparing to the wrong tier. A 200K-follower account benchmarking against nano-influencer rates will always feel like it is underperforming. Match the benchmark to the actual follower count.
6. Ignoring the fake-follower drag. A 1.4% engagement rate at 100K followers could be a great 2.8% rate against the real, non-bot 50%. Run our fake follower checker first if the number looks weirdly low.

Instagram engagement rates have been trending down across every tier for three reasons that compounded over the last 24 months.

First, the Reels-first algorithm change. Reels reach much further than carousel or single-image posts, but they engage at a lower per-impression rate. If your feed shifted from mostly-carousels to mostly-Reels in the last year and your engagement rate dropped, that is the cause, not your content getting worse.

Second, the AI-generated content flood. The platform is saturated with low-effort AI graphics and stock-footage Reels. Users scroll faster and engage less. Even great content gets less engagement than the same content got in 2023.

Third, the multi-account audience. The same human now follows you on Instagram, TikTok, YouTube Shorts, and X. The attention they had for one platform now splits across four. Cross-platform engagement has not declined; per-platform engagement has.

The benchmarks table above already reflects the 2026 reset. If you are comparing your current numbers to a 2022 benchmark you saw on a Hootsuite blog post, you will feel terrible for no reason. Use current data.

If you are a creator hoping to land brand deals, you want to know what brands are actually looking at when they evaluate your engagement rate. Here is the honest version, based on conversations with brand-side marketing leads.

Brands rarely look at engagement rate in isolation. They cross-reference it against three other signals: fake-follower percentage (does the audience even exist?), audience geo and language match (do the right people exist?), and content-niche relevance (does the audience care about this product?). A creator with a 1.6% engagement rate and a 96%-real, 92%-US, perfectly-on-niche audience will outperform a 4.2% rate from a creator with a giveaway-loop history and a global pop-up audience every single time.

The minimum bar most brands quietly use: 1.5% engagement rate by follower for accounts above 100K, 2.5% for 10K-100K, 4% for under 10K. Below that, your media kit will not get a reply unless your audience match is exceptional.

Above those thresholds, what brands actually pay attention to is engagement quality. Are comments substantive or "🔥🔥🔥"? Are saves coming from people who later visit the brand’s website? Are shares-to-DM happening between aligned accounts? Modern brand briefs increasingly ask for engagement quality screenshots, not just the rate number.