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FIRST-PARTY DATA · UPDATED MONTHLY

LinkedIn Benchmark: impressions per post by follower count

Reliable reference points by audience size, calculated from 22,064 public posts in August 2026.

MagicPost's LinkedIn benchmark, computed on 22,064 public posts published in August 2026, puts the median LinkedIn post at 575 impressions. Median reach runs from 188 impressions under 1K followers to 13K above 100K followers. In July 2026, the median post received 604 impressions.

Median LinkedIn post
575
Under 1K to 100K+ followers
188 → 13K
Public posts analyzed
22,064

August 2026 edition. Impressions per post, medians by follower bracket, computed on public LinkedIn posts published that month and refreshed every month.

Compare your own posts with the MagicPost LinkedIn analytics tool →

METHOD

How the MagicPost LinkedIn Benchmark is computed

Edition
August 2026, published on September 8, 2026
Sample
22,064 public LinkedIn posts published in August 2026 by creators with at least 100 followers and impression data available. Deleted posts are excluded, and a follower bracket needs at least 50 posts to be reported.
Metrics
Impressions per post, in seven follower brackets from under 1K to 100K+. Low = 25th percentile, Median = 50th, High = 75th, Top 10% = 90th. Deltas compare each cell with the previous month.
Headline median
The median post figure weights each follower bracket by its share of the reference population, so the monthly mix of collected posts does not distort the trend.
Window
The calendar month, by publication date: every post published from the first to the last day of August 2026.
Refresh
One edition per month, covering the previous complete month. Earlier editions stay available in the archive below.

MagicPost · LinkedIn Benchmark

August 2026

Impressions per post by follower count · 22,064 posts analyzed
FollowersLowMedianHighTop 10%
0-1K86+5%188-4%470+3%1,178+6%
1K-5K148-12%370-11%1,022-5%3,020+2%
5K-10K311-7%792-3%2,065-3%6,178-0%
10K-25K531+6%1,440+3%4,168+1%13.1K+5%
25K-50K1,140-16%2,856-17%8,936-5%27.6K-0%
50K-100K3,004+16%6,960-1%17.1K-5%48.1K+14%
100K+4,868+5%13K+8%29K-16%90.8K-22%

Low = bottom 25% · Median = middle post · High = top 25% · Top 10% = best decile

Six-month trend

Median impressions for a LinkedIn post
Median impressions trendTrend across the six latest editions of the LinkedIn Benchmark.656Marc651Apri605May600June604July575Augu
Monthly record2,457,354

impressions on a image post

Best-performing formatcarousel

+35% vs the same author's other posts

Best dayMonday

+7% vs the same author's other weekdays

Source: MagicPost LinkedIn Benchmark, August 2026 (https://magicpost.in/linkedin-benchmark/august-2026)

Why the median?

One viral post should not distort your benchmark.

Posts are grouped by audience size. For each range, MagicPost calculates low, median, high and top 10% reach.

The median represents the middle post: half perform better and half perform worse. One viral outlier barely moves it.

Compare your own posts to these medians with MagicPost →

Archive

LinkedIn reach, month after month.

  1. August 202622,064 postsCurrent
  2. July 202624,420 posts
  3. June 202622,724 posts
  4. May 202618,784 posts
  5. April 202622,224 posts
  6. March 202627,581 posts
  7. February 202626,569 posts
  8. January 202637,646 posts

FREQUENTLY ASKED QUESTIONS

LinkedIn impressions, in practice.

How many impressions does a LinkedIn post get?

MagicPost's LinkedIn benchmark puts the median LinkedIn post at 575 impressions in August 2026, across 22,064 public posts. Reach varies widely with audience size: the table above gives low, median, high and top 10% reach for each follower bracket.

What is a good number of impressions on LinkedIn?

Above the median for your follower bracket already beats half of comparable posts, and the top 10% column marks an excellent post. Judge your reach against your bracket, not against viral outliers.

Why use the median instead of the average?

One viral post can multiply an average and make it useless as a reference. The median is the middle post: half perform better and half perform worse, so it stays representative month after month.

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