Post Analytics
Once a post is live, the numbers start coming in. PostFriendly pulls them from each network and shows them in one place so you don't have to bounce between five apps.
Where to find it
Click Analytics in the left menu. The top of the screen shows the last 30 days across all your channels. Below that, every published post in date order.
What you see per post
- Reach — how many unique people saw it.
- Impressions — total times it was shown (including repeats).
- Likes / Reactions — the basic positive signal.
- Comments — what people wrote back. Click to read them.
- Shares / Reposts — when someone passed it along.
- Clicks — taps on links in the post (where the network reports them).
- Saves / Bookmarks — Instagram and X. A strong signal someone wanted to keep it.
Numbers, not magic
A post that beats your average reach by 3x is a hit. A post that flops once is normal — even great accounts have flops. Look at the pattern across 10–20 posts, not any single one.
Per-channel view
Click a channel chip above the list to filter. Now you see only Instagram, or only LinkedIn. The summary cards at the top update too.
Date range
Change the range with the picker — last 7 days, 30 days, 90 days, or a custom range. Numbers refresh in a few seconds.
Export
Click Export above the post list. PostFriendly downloads a CSV with every column for every post in the range. Open it in Excel, Google Sheets, or hand it to whoever runs your numbers.
Refresh delay
Some networks (especially TikTok) report numbers on a delay — sometimes hours, sometimes a full day. If a post is fresh, give it 24 hours before judging it. PostFriendly refreshes in the background; the Last updated time is at the top of the screen.
What you cannot see
- The exact names of every person who liked your post — the networks do not share that with any tool.
- Demographic breakdowns (age, gender, location) — those live inside each network's own analytics for now.
- Direct sales attribution — PostFriendly tells you what was clicked, not what was bought. Pair it with your own analytics for the full picture.