Overview

An Insights report's visualization options control how its underlying data gets displayed, independent of which events or attributes the report measures. This reference covers every option: the date range, the comparison period, the time grouping, the available chart types, the legend, and the table view. For the step-by-step report builder walkthrough, see Creating an insights report. For how events get aggregated and broken down, see Event Tracking Reference.

Date range

The date range sets the absolute bounds for which events a report includes. All dates and times reflect the project timezone.

Compare

Compare overlays data from a previous period onto the current one. The available comparison periods depend on the report's Group by setting: previous day, week, month, or year, plus a custom comparison range.

The lift shown for a comparison is colored green when the current period is up and red when it's down.

📘 Good to know

Compare isn't limited to comparing against a fixed prior period. You can also use it to check a specific campaign's traffic against your normal baseline, or the same campaign one year apart.

Group by

Group by changes what counts as a single data point on the chart. For example, grouping by Week means each point on the graph aggregates one week of events using the report's chosen aggregation.

Available groupings: Day, Week, Month, Year.

Chart types

Reports offer 8 chart types. Two aggregate a series across the whole date range; the rest plot each series over time.

• Aggregated across the period: Pie, Metric.
• Time-segmented: Line, Stacked line, Bar, Stacked bar, Area, Stacked area.

Line

The default chart type. A simple line plot with time on the X-axis and each point corresponding to your chosen grouping.

Use cases

• Tracking trends. Visualize how data changes over time to spot trends or patterns.
• Visualizing continuous data. Plot metrics like revenue or session counts with time on the X-axis.
• Comparing multiple series. Overlay several event or attribute series to compare their performance over the same period.
• Identifying seasonality. Spot recurring patterns or cycles in the data.
• Spotting correlations. See how two series move together or diverge over time.

Stacked line

The same line plot with each series stacked on top of the previous one instead of overlaid.

Use cases

• Comparing trends across groups. See how each group contributes to the overall trend.
• Showing composition over time. Illustrate what share each series contributes at any point on the timeline.
• Tracking cumulative change. Show the combined total moving over time while still breaking out each contributor.
• Visualizing contribution to a total. Make it easy to see each category's share of the whole at a glance.

Bar

Each series plotted as bars over your selected date range and grouping, one bar per data point.

Use cases

• Comparing discrete periods. Compare values across distinct days, weeks, or months instead of following a continuous trend line.
• Highlighting a single series. Bar works best with one series at a time, so use it to draw attention to one metric's shape over time.
• Spotting outliers. A single unusually tall or short bar stands out more clearly than a bend in a line.

Stacked bar

The same bar plot with every series stacked into a single bar per data point instead of one bar per series.

Use cases

• Comparing totals across categories. See each period's combined total across every series at a glance.
• Showing changes over discrete intervals. Track how each series' contribution shifts month to month or quarter to quarter.
• Ranking contributors. Compare each series' stacked segment to see which one drives the most volume.

Area

A filled line plot: the same trend line as Line, with the area under each series filled in.

Use cases

• Emphasizing volume. The filled area makes the total magnitude of a series more visually prominent than a plain line.
• Tracking a single metric's trend. Works best with one or two series before the fills start to overlap.

Stacked area

The same filled plot with every series stacked, so the fills sum to a combined total at each point.

Use cases

• Showing part-to-whole trends over time. See how each series contributes to a combined total as it changes.
• Visualizing cumulative growth. Track how a total builds up across multiple contributing series.

Pie

The relative distribution of each series' total value over the entire date range, not broken out by time.

Use cases

• Showing relative distribution. Compare each category's share of the whole for the selected period.
• Highlighting proportion. See at a glance which series makes up the largest or smallest share.
• Comparing distribution across categories. Useful for a breakdown with a handful of values, like traffic by channel.

Metric

An aggregated single numeric value per series, shown as a card instead of a chart.

Use cases

• Displaying a KPI at a glance. Show one number, like total signups, without a chart around it.
• Monitoring current performance. Pair with Compare to show the lift against a previous period directly on the card.

Legend

The legend lists one entry per series on Line, Stacked line, Area, Stacked area, and Stacked bar charts. Click an entry to hide or show that series on the chart; hidden entries dim to indicate they're off. If a report has more than 6 series, the legend groups the rest behind a "+N more" toggle.

Table view

The table shows each series as a row, with a Total and an Average column across the date range. When Compare is active, it adds Compared and Lift columns. Click the colored dot next to a row to hide or show that series on the chart, the same toggle the legend provides.

Use cases

• Choosing Line by default, then switching when it doesn't fit. Start with the default trend view, then switch to Bar or Pie when you want a period-total comparison instead of a trend.
• Building a KPI-style dashboard widget. Use Metric cards for headline numbers and Line charts for the trends behind them.
• Comparing a campaign period against your baseline. Use Compare with a custom range to check a specific promotion or launch window against normal traffic.
• Auditing which series are driving a stacked total. Use the legend or table view's row toggle to isolate one series at a time inside a Stacked line, Stacked area, or Stacked bar chart.
• Reporting monthly instead of daily. Change Group by to Month so each point represents a full month instead of a single day.
• Exporting exact numbers. Switch to Table view when you need the raw totals and averages behind the chart, not just the visual trend.

Where to go next

• Creating an insights report for the step-by-step report builder.
• Event Tracking Reference for how events get aggregated and broken down.
• Analytics overview for what reports and dashboards do.
• Reports for the three report types Insights, Funnel, and Retention.