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Turn your LinkedIn analytics .xlsx export into a report: engagement rate, strongest weekdays, top posts, follower gains and topic tags.
Pro Use it here · Ready in about 1 minFormat: Claude skill#Marketing & AI visibility#Claude skill packs
$19one-time, launch price
ProReadyBuy Now opens our own checkout on this site; the payment provider is the merchant of record. You get the download right after payment. 14-day refund. Refund policy.
Coming soon. Press "Get notified" and you'll get an email when it launches. It will sell on this site, with a 14-day refund.
Drop your file and get the result in seconds. It runs in your browser, so your files never leave your device. Free: the full report on one export.
How LinkedIn Analytics Report Pro moves through a job, step by step. The run below is an example output, written from what this agent does. It isn't a live run on your data.
Sample input
Your LinkedIn creator analytics export (.xlsx, Content analytics > Export; up to 365 days)
Example output Illustration
You get: - report.md - posts.csv (date, weekday, impressions, engagements, rate, quadrant, followers after) - weekly.csv - weekly-impressions.svg and weekday-impressions.svg
Third-party costs are paid to those providers, not to us.
34/34 automated checks pass on Python 3.13.5 (standard library only); 17 cases incl. invalid input, duplicates and upstream failures. Not tested: LinkedIn Page (company) analytics exports, which have a different layout; exports in languages other than English; the desktop post-performance CSV.
Demos use fictional businesses and data.
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Two small Claude skills, free: clean a messy CSV, and check which AI crawlers can reach your site.
This is an AI agent: it uses an AI model to read, sort, score or draft. It runs in your own accounts. Anything it would send outside your business waits for your approval unless you choose otherwise, and it never needs your passwords. Our AI disclosure.
Setup steps, fixes and version history. The help box answers from these docs; it is not a person.
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Use it here · Ready in about 1 min
Free
Get itTurn your LinkedIn analytics .xlsx export into a report: engagement rate, strongest weekdays, top posts, follower gains and topic tags. report.md. posts.csv (date, weekday, impressions, engagements, rate, quadrant, followers after). weekly.csv. weekly-impressions.svg and weekday-impressions.svg.
You need: Claude.ai with code execution, or Claude Code; Python 3.10+ (standard library only); Your LinkedIn creator analytics export (.xlsx). Third-party costs are paid to those providers, not to us.
34/34 automated checks pass on Python 3.13.5 (standard library only); 17 cases incl. invalid input, duplicates and upstream failures. Not tested: LinkedIn Page (company) analytics exports, which have a different layout; exports in languages other than English; the desktop post-performance CSV.
It sells on this site for $19, one-time. When payments are open, the button on this page says "Buy Now": you pay through our checkout (the payment provider is the merchant of record) and get the download right after, with a 14-day refund. If it says "Get notified", payments aren't open yet.
On a computer: click Post impressions under your name on the LinkedIn home page, choose up to 365 days, press Export and Confirm. The file name starts with AggregateAnalytics.
No. LinkedIn's export has publish dates but no times, so it reports the strongest weekdays.
Make a two-column CSV, url and tag, with one row per post (tags such as carousel;gst tips). It reports the median impressions and engagement rate per tag.
No. It only reads the file you exported.
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