New Exploration

New Exploration is the ad-hoc analytics workspace. When the canned reports do not answer your specific question, you build the answer here: pick a metric, slice by one or more dimensions, filter, chart. Save the resulting view as a custom report for reuse.

You'll work at /admin/store/{storeId}/analytics. The New Exploration action lives on the Analytics page.

When to use Exploration vs canned reports

Generally: canned reports answer the common questions; Exploration answers the specific question you have right now.

Before you begin

• You are signed in to your Tanqory store admin.
• You have View analytics permission. Manage analytics needed to save custom reports.
• You know what question you want to answer.

Steps

1. Open Analytics

The Analytics dashboard renders with KPIs + canned chart panels.

2. Click New Exploration

The action lives in the toolbar of the Analytics dashboard.

(opens full size)

3. Pick a metric

The first thing Exploration asks: what number do you want? Sales, sessions, conversion rate, AOV, refund rate, pick one.

4. Add dimensions

Dimensions split the metric. Examples: by date, by source, by device, by country, by product, by segment. Add 1-3 dimensions; more = harder to read.

5. Add filters

Filters narrow the data set before computation. Example: filter to mobile-only, or to specific date range, or to specific collection.

6. Choose a chart type

Tanqory's Exploration supports: line, bar, stacked bar, table, pivot. Choose what answers your question best.

7. Iterate

Adjust dimensions / filters until the chart answers your question. Exploration is meant for iteration.

8. Save as a custom report

If you'll revisit this view: save it under the Custom tab in the Reports catalog. Saved with name + description.

Verify the result

• The chart renders with the chosen metric + dimensions + filters.
• Values match your intuition (spot-check totals).
• Save action persists; the view appears under Custom Reports.

Best practices

• Start with one dimension. Add more only if needed.
• Filter early. Narrow before sliceдimensions for cleaner charts.
• Use the table view for high-precision number-checking before charting.
• Save anything you revisit weekly. Custom Reports compound.
• Document the question in the saved report's description.

Common mistakes

• 3+ dimensions with no clear narrative: chart becomes unreadable.
• No filters: too much data → too much noise.
• Trusting the chart without spot-checking totals.
• Saving without descriptive names: future-you can't find them.
• Building Exploration for questions canned reports already answer: slower than necessary.

If something goes wrong

• Chart empty: verify your date range covers data; verify filters aren't over-narrowing.
• Numbers don't match canned reports: Exploration's exact computation may differ; verify methodology.
• Save fails: your role may lack Manage analytics.
• Permission denied: your role lacks View analytics.

Next steps

• Analytics Dashboard
• Reports
• Customer Cohort Analysis

Related articles

• Top Products
• Conversion Rate Over Time
• Sessions Over Time