Analytics overview
Read account-level performance, change the date range, compare to a prior period, and know when to drop into Posts for evidence.
Analytics is the account-level read of how your active Instagram account is performing. It is built for trend reading, not post-by-post inspection.
What changes what you see
Three controls shape every number on the page:
- The active account in the top-left selector. Every metric on Analytics belongs to one account.
- The date range in the page header. Pick a window that matches the question you are asking — last 7 days for a quick pulse, last 30 or 90 days for trend reading.
- Comparison — Analytics compares the current range to the previous equal-length period by default. A 30-day view compares against the 30 days before it.
If you switch accounts mid-session, the page reloads with the new account's numbers. Date range and comparison stay where you set them.
Tiles and charts
The top of the page shows a row of summary tiles — followers, reach, engagement, and the headline metrics for the chosen window, each with the change versus the prior period. Below that, charts plot the same metrics over time so you can see direction, not only totals.
For the meaning of each metric, see the glossary. Definitions live in one place so they stay consistent across Analytics, Posts, Reports, and Explore.
Exporting to CSV
When CSV export is enabled on your plan, an export control on the page lets you download the current view. Export availability and row limits are tied to your plan — see pricing and plans for which plans include CSV export.
A practical reading order
- Confirm the active account is correct.
- Pick a date range that matches your question.
- Read the headline tiles for direction (up or down vs. prior period).
- Use the charts to confirm whether a change is a trend or a single spike.
- Open Posts when you need to explain why a number moved.
Common pitfalls
- Comparing two different date ranges and forgetting the comparison baseline shifted with them.
- Treating a single high-performing post as a trend.
- Reading Analytics for the wrong account because the selector quietly stayed on yesterday's choice.
If a metric looks unexpectedly empty or stale, see account history and data gaps before assuming a bug.