Every number here comes from my own LinkedIn export, converted to parquet and queried in your browser. The charts render server-side; the engine loads afterwards, only to power the controls. Each tile will show you the SQL behind it.
SELECT impressions, members_reached, total_followers
FROM overview
ORDER BY snapshot_date DESC LIMIT 1;
Daily impressions
7-day averageSQL
SELECT day, impressions, engagements, new_followers
FROM daily
WHERE day >= ? -- period selector
ORDER BY day;
By month
impressions
Jul '25
Aug
Sep
Oct
Nov
Dec
Jan '26
Feb
Mar
Apr
May
Jun
Jul
SQL
SELECT date_trunc('month', day) AS month,
sum(impressions) AS impressions
FROM daily
WHERE day >= ?
GROUP BY 1 ORDER BY 1;
By country
from top metros
India37%
United States16%
United Kingdom2%
Singapore2%
Not disclosed43%
LinkedIn breaks out only the top metro areas, so 57% of the audience can be attributed to a country. The rest is not reported.
SQL
-- LinkedIn gives metro areas, not countries. The country
-- column is mapped on import, so the gap stays visible.
SELECT country, sum(percentage) AS pct
FROM audience
WHERE category = 'Location' AND country <> ''
GROUP BY 1 ORDER BY pct DESC;
SELECT coalesce(nullif(matched_title,''), topic_slug) AS title,
impressions, engagements,
round(engagements * 100.0 / nullif(impressions,0), 2) AS rate
FROM top_posts
ORDER BY impressions DESC LIMIT 10;
Audience
share of followers
Seniority
Senior44%
Entry12%
Director11%
Manager7%
VP6%
CXO5%
Owner3%
Partner2%
Industry
IT Services and IT Consulting36%
Software Development21%
Financial Services4%
Human Resources Services3%
Staffing and Recruiting3%
Technology, Information and Internet3%
Business Consulting and Services2%
Banking1%
Hospitals and Health Care1%
Semiconductor Manufacturing1%
Job title
Software Engineer6%
Founder3%
Chief Executive Officer2%
Co-Founder2%
Solutions Architect2%
Architect1%
Data Engineer1%
Professor1%
Project Manager1%
Company
Pentaho4%
Hitachi Vantara2%
Accenture1%
HCLTech1%
IBM1%
Infosys1%
Tata Consultancy Services1%
Vmoksha Technologies Pvt. Ltd1%
Cognizant< 1%
Company size
10,001+ employees28%
51-200 employees10%
1,001-5,000 employees9%
11-50 employees8%
2-10 employees8%
5,001-10,000 employees8%
201-500 employees7%
501-1,000 employees5%
0-1 employees1%
SQL
SELECT category, value, percentage
FROM audience
WHERE snapshot_date = (SELECT max(snapshot_date) FROM audience)
ORDER BY category, percentage DESC;
Source: LinkedIn aggregate analytics export, snapshot 2026-07-27. Imported with scripts/import-linkedin-analytics.mjs and published as CSV and parquet. Engagement figures are LinkedIn's own; nothing here is modelled or estimated.