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Working with data tables

Every data table in Explore and Reports supports a consistent set of features. Once familiar with them, the same patterns apply across every dashboard in the product.

FeatureAction
SortClick a column header. Click again to reverse the sort.
FilterFilters appear above the table; they apply to the entire dashboard, not just the table.
SearchSearch box (above the table) matches against the primary item column — product name, campaign name, customer name.
PaginationTables paginate for large catalogs. Page controls appear at the bottom.
TabsSwitch between breakdown levels (e.g. Products vs Variants) without changing controls.
ExportDownloads the current view as a CSV file.

Click any column header to sort by that column. Click again to reverse the sort. Sort order is preserved across pagination but resets when switching tabs.

Search matches against the primary item column. Use it to find a specific product, campaign, or customer without paging through the table.

Filters live above the table and apply to the entire dashboard — headers, trend chart, drilldown, and the table itself all recompute when a filter is applied. This makes filters a more powerful tool than search: they constrain the population every metric reads from.

Common filter dimensions: channel (DTC, Marketplaces), product type, campaign tag, customer segment. The exact set varies per dashboard.

Tabs above a data table switch between breakdown levels of the same dashboard. Date range, comparison, group-by, filters, and headline tiles remain unchanged when switching tabs — only the table contents change.

DashboardTabs
DTC dashboardProducts · Variants · Product Type · Vendor
Amazon dashboardParent ASIN · Child ASIN
Paid Media dashboardPlatforms · Campaigns
  • Start at the most aggregated level (Products, Parent ASIN, Platforms). It loads fastest and surfaces top contributors.
  • Drop to the more detailed level (Variants, Child ASIN, Campaigns) when investigating a specific item or to confirm parent-level aggregations.

Data tables include an export action that downloads the current view as a CSV file. The download is a plain-text .csv (comma-separated) — not an Excel workbook — but both Excel and Google Sheets can open it directly.

  1. Set the view first: date range, comparison, filters, tab.
  2. Scroll to the table. The export action is near the top-right.
  3. Click export. The file downloads.
  4. Spot-check the file: column headers present, row count plausible, sample values correct.

The export reflects the current view — the active date range, comparison, filters, and tab. Sort order is preserved.

DestinationNotes
Spreadsheet (Google Sheets, Excel)Direct import — the CSV is standard
Data warehouseManual ingest, or use the warehouse export feature (Enterprise)
Internal scriptsStandard CSV; pandas, polars, and similar libraries handle it

For format details (delimiter, encoding, date format) and a deeper look at CSV exports across the product, see CSV exports.

  • Tables show the workspace’s full data within the selected date range. Pagination and search are the way to navigate — there’s no separate “load more” action.
  • Filters affecting the entire dashboard (date range, segment) apply to the table too.

A row I expect to see isn’t there. Check filters first. Widen the date range if the filter is time-based.

Sort order looks wrong. Columns sort either alphabetically (product name) or numerically (revenue). Numeric sort places text and null values consistently — usually at the end.

Totals don’t reconcile between tabs. Confirm the same date range and filters apply. Tab-specific filters sometimes carry over from a previous session.

Expected tab is missing. The underlying datasource may not provide that breakdown — Amazon’s Parent / Child ASIN distinction only appears when the catalog hierarchy is set up; Pinterest Ads’ Ad Group tab only appears when ad-group-level data is enabled.

  • Download doesn’t start — check browser download permissions; try another browser.
  • File is empty — widen the date range or remove restrictive filters.
  • Values look like ##### in Excel — column width too narrow; widen the column.
  • Numbers in the CSV don’t match the dashboard — the dashboard may have refreshed since export. Re-open and re-export.