Analytics dashboards are saved reports and visualizations. The Analytics page also shows an overview of Insights, the AI-generated findings available in full under Lab → Insights. Use insights to spot what changed and dashboard reports to investigate it.
Prerequisites
- Your store must be connected to Layers and past onboarding. See Install if you have just installed Layers.
- Forward storefront events to the Beacon API so dashboards have data to report.
- A few days of activity should exist so period-over-period comparisons have a baseline to compare against.
Review insights
When relevant findings are available and you have permission to view them, Analytics shows an insights overview alongside your dashboard. Choose a finding or use the previous and next controls to browse. Select See why for its explanation, supporting evidence, and recommended actions, or View all for the full Lab feed. Insights show their own timeframes and baselines. They are separate from your saved dashboard cards and do not change when you adjust the dashboard’s date range. You can dismiss a finding from this page without resolving it for your team. See Insights while you work for dismissal, permissions, and review behavior.Select a dashboard
Use the dashboard selector at the top of the page to switch between your saved dashboards. Each store starts with a default dashboard of pre-configured cards, and you can save additional dashboards for different views, such as one for search and one for recommendation blocks. The selected dashboard determines which cards, charts, and tables you see. Everything on it reports against the same date range and comparison, set in the date range and comparison controls.Date range and comparison
A row of controls at the top of every dashboard sets the window all cards report against:- Date range — select a relative window such as Past 7 days, a calendar window such as This month, or a custom range.
- Compare to — select the baseline every metric is compared against. This defaults to the previous period, so period-over-period comparison is on by default, matching Shopify Analytics. You can switch it to another baseline, such as the previous year, or turn comparison off.
Visualization types
Dashboards support several visualization types, and every one includes a legend:- Metric card — a single-value card showing the current value, a sparkline, and the change over prior period.
- Line chart — a trend over time, with a series legend and a comparison swatch when comparison is on.
- Bar chart — values across categories, with a legend identifying each series.
- Donut chart — a share-of-total breakdown, with a legend mapping each slice to its label.
- Table — rows of values you can scan and drill into, with a header row labeling each column.
Open the report behind any card
Clicking any visualization opens the underlying report in the report editor, so you can go from a number on the dashboard straight to the query that produced it:- A saved metric opens its saved report.
- An ad-hoc card opens a new report seeded with that card’s query, so you can edit and refine it without changing the dashboard.
Drill-down performance panels
Many cards let you open a performance panel for a specific subject (a product, collection, block, or search term) to see how it is performing on its own. When you open a drill-down panel from a card, it inherits the dashboard’s current date range and comparison instead of resetting to a default window. The panel opens already scoped to the same period and baseline you were looking at, so the numbers line up with the card you came from. You can still change the date range or comparison inside the panel to investigate a different window.Multi-metric search reports
Search-term reports and tables can show several metrics per query term in a single table (for example, searches, clicks, and conversions side by side for each term) instead of one metric per table. This lets you compare how a term performs across the full funnel in one view. These multi-metric search tables also support period-over-period comparison, so each metric can show its change over prior period alongside its current value. For pre-built search and block reports you can drop in, see Metric recipes.Search-attributed and blended-search revenue figures now count late and cross-surface conversions more accurately. As a result, historical attributed-revenue numbers may shift compared to what you saw before. This is a counting change only; your storefront and orders are unchanged.
Troubleshooting
Next steps
- Reports — build, save, and export the reports behind your dashboard cards.
- Metric recipes — pre-built reports you can drop onto a dashboard.
- LayersQL syntax — the query language behind every card and report.
- Insights — the AI feed of trends, anomalies, and opportunities.