Posts and filters
Inspect individual posts with card or database view, filter by media type and date, save filter sets, and act on posts in bulk.
Posts is where you move from account-level trends into individual content. Use it to find which posts drove a change in Analytics, compare similar pieces, or build saved groupings you come back to.
Card view vs. database view
Two layouts share the same underlying data:
- Card view is visual. Use it when you want to scan thumbnails, captions, and headline metrics quickly.
- Database view is tabular. Use it when you want sortable columns, multi-criteria filters, and saved views.
Switching views does not change which posts are in scope — only how they are presented.
Filtering and search
Filter chips above the post list narrow the result by date range, media type (reel, image, carousel), and other attributes. The search field accepts caption text and hashtags. Filters stack — picking "Reels" and "Last 30 days" together shows only reels published in the last 30 days.
For which metrics exist for which post types (and why a metric might be missing), see metric availability before assuming a gap is a bug.
Saving filters as a set
A set is a saved grouping of posts you want to come back to — top reels from a launch week, posts in a specific theme, content tied to a campaign. Build a filter, then save it as a set. Sets live in your account and update automatically as new posts match the filter.
Sets are the unit Canvas works against, so a set built here can be opened in Canvas later for deeper analysis.
Bulk actions
In database view, select multiple posts to act on them together. Bulk actions cover adding posts to a set, exporting the selection, and other multi-row operations exposed by your plan.
A practical workflow
- Open Analytics first to see what changed at the account level.
- Move to Posts with the same date range applied.
- Filter by the media type you suspect drove the change.
- Sort the database view by the metric that moved.
- Save the resulting filter as a set if the grouping is worth coming back to.
Related pages
Analytics overview
Read account-level performance, change the date range, compare to a prior period, and know when to drop into Posts for evidence.
Competitors and Explore
Track the accounts you choose to monitor in Competitors, discover standout posts in your niche through Explore, and move accounts between them.