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The Segments Dashboard helps you analyze metrics across customer segments and communication channels. Use this report to:
  • Measure the value of a segment — both over a customer’s entire time in your database (LTV, order frequency, customer lifetime, and more) and over the period you select in the report.
  • Spot growth opportunities: identify segments that generate more revenue, and segments that aren’t worth additional budget.
  • Compare how segments perform year over year or month over month.
  • Understand which campaigns work for each segment and assess each channel’s contribution to revenue.

When data refreshes

  • Data for the last 3 months refreshes daily.
  • Data for the last 2 years refreshes weekly on Sundays. Recalculated data is available starting Monday.
  • When you add a new segment, change the attribution window, or configure a new target action, the past 2 years of data are recalculated the next day.
  • Data for newly added segments appears the next day by 9:00 AM. Metrics are only available from the segment’s creation date.
If your segments were created recently, use the cumulative metrics in the Audience Metrics section for comparison — they are calculated over each customer’s entire lifetime in the database.

Report modes

The dashboard has two modes:

Charts

In both modes, a chart at the top of the report compares up to 6 segments at once. To choose which segments appear:
  1. Open the Segments control in the top panel.
  2. Click the chart icon next to each segment you want to plot.
The All Customers segment is hidden from charts by default — you can still view its metrics in the table below the chart.

Comparison mode

Comparison mode lets you compare metrics across segments and against the prior year, and evaluate segment performance by communication channel.
  • The chart can show 1 metric year over year, or 2 metrics for the current period side by side.
  • Below the chart you’ll see:
    • The Metrics table, with the metrics you selected and a year-over-year comparison. Click a segment row to expand a breakdown by communication channel (Email, Mobile Push, SMS, Viber, Web Push, and others).
    • The Top Campaigns table — the top 10 campaigns by performance across the selected segments.
Each campaign initially shows the top 5 segments. Click Load more to expand the rest.

Dynamics mode

Dynamics mode shows how segments change for a single metric by month.
  • The chart plots up to 6 segments simultaneously for one selected metric.
  • Below the chart you’ll see:
    • A table of the selected metrics. Unlike Comparison mode, segment rows are not expandable by channel.
    • A Top Campaigns section, which works the same way as in Comparison mode.

Configuring the report

The top panel exposes the core settings:
  • Period — the range of months to analyze.
  • Brand — available for multi-brand projects.
  • Target action — defaults to Orders. See the target actions documentation for details on creating and configuring them.
  • Segments — which segments appear in the report.
  • Metrics — which metrics appear in the report.

Metrics

The report has two metric types:
  • For the period — calculated within the selected date range, for customers who were in the segment during that period. Answers: “What did this segment generate this month/quarter/year?”
  • All-time (Audience Metrics) — calculated on the segment’s membership at the end of the selected period, using each customer’s full history in the database. Answers: “How valuable are the customers currently in this segment?”
To add metrics:
  1. Click Metrics in the settings panel.
  2. Pick metrics from the list:
    • In Comparison mode you can pick multiple metrics.
    • In Dynamics mode you can pick one metric.
  3. If needed, add additional metrics with filters via Add metric. For example, revenue from popups only.

Metric definitions

Business metrics

Maestra metrics

Campaign metrics

Personalization metrics

In-App metrics

Loyalty metrics

Metrics in the Loyalty metrics section are calculated only for the Orders target action.

Audience metrics

Segments

The report includes built-in lifecycle segments by default. You can also add any customer segment — recalculated, static, or RFM.
  1. Click the + icon next to the Segments block.
  2. Pick up to 30 segments.
  3. Save your selection.
Added segments will appear in the report’s table after the next recalculation.

How metrics are calculated for added segments

  • The report only includes events that happened while the customer was a member of the chosen segment.
  • The moment a customer enters a segment is shifted to 00:00 of the previous calendar day for the purposes of metric calculation.
This approach preserves consistent analytical logic while accounting for the delay before customers actually appear in a segment (for example, scheduled recalculations or waiting for a static-segment import).
A customer places their first order on December 3 at 4:00 PM, but doesn’t enter the Customers with Orders segment until the next recalculation on December 4 at 8:00 AM. The report counts their data inside the Customers with Orders segment starting from December 3 at 00:00.
The project has two manually created scheduled segments added to the report: Churned and Active Customers.How the reactivation unfolds:
  • December 9, 00:00 — the customer is in the recalculated Churned segment.
  • December 10, 12:00 — a reactivation campaign is sent to the customer.
  • December 15, 10:00 — the customer clicks through to the site from the email and places an order.
  • December 16, 03:00 — the segments are recalculated: the customer leaves Churned and moves into the recalculated Active Customers segment.
How this shows up in the reports:
  • Segment Impact: after the metrics are recalculated, the customer’s entry into Active Customers shifts to December 15 at 00:00, so the order’s revenue is attributed to Active Customers.
  • Top Campaigns: the same shift applies, but metrics here are calculated from the campaign send date. The order’s revenue is therefore attributed to the segment the customer belonged to as of December 9 at 00:00 — Churned.
When measuring reactivation effectiveness, keep these recalculation differences across reports in mind and lean on the campaigns report for the final read.

Exporting the report

  1. Choose the report type, period, target action, metrics, and segments.
  2. Click Export .csv.

Export column reference

  • PeriodStart — start of the selected comparison period.
  • PeriodEnd — end of the selected comparison period.
  • Date — date from the selected dynamics period.
  • Brand — selected brand.
  • TargetAction — selected target action.
  • SegmentName — segment name.
  • Channel — campaign channel.
  • MailingType — campaign type (automated, transactional, bulk).
  • FormType — form type (popup, embedded block, recommendation widget).
  • TotalRevenueRevenue metric.
  • OrdersOrders metric.
  • AverageOrderValueAverage Order Value metric.
  • AverageOrdersPerCustomerPerMonthOrders per Buyer per Month metric.
  • RevenueAllTimeRevenue (all time) metric.
  • RevenueShareAllTimeShare of Revenue (all time) metric.
  • OrdersAllTimeOrders (all time) metric.
  • OrdersShareAllTimeShare of Orders (all time) metric.
  • AverageOrderValueAllTimeAverage Order Value (all time) metric.
  • AverageOrdersPerCustomerAllTimeOrders per Customer (all time) metric.
  • AverageOrdersPerBuyerAllTimeOrders per Buyer (all time) metric.
  • AverageRevenuePerCustomerAllTimeRevenue per Customer (all time) metric.
  • AverageRevenuePerBuyer90dRevenue per Buyer (90 days) metric.
  • FirstOrderConversionAllTimeFirst-Order Conversion (all time) metric.
  • AverageRegistrationToFirstOrderDaysAllTimeTime to First Order metric.
  • RepeatOrderConversionAllTimeRepeat-Order Conversion (all time) metric.
  • RepeatOrdersShareAllTimeShare of Repeat Orders (all time) metric.
  • ReturningCustomersRateLastMonthReturning Customer Rate (last month) metric.
  • AverageTimeBetweenOrdersAllTimeTime Between Orders metric.
  • AverageDaysSinceLastOrderAllTimeDays Since Last Order metric.
  • MissedPurchaseCyclesAllTimeMissed Purchase Cycles metric.
  • AverageCustomerLifetimeDaysAllTimeCustomer Lifetime metric.
  • CrmRevenueTotal CRM Revenue metric.
  • CrmRevenueShareCRM Share of Revenue metric.
  • CrmOrdersCRM Orders metric.
  • CrmAverageOrderValueCRM Average Order Value metric.
  • InAppRevenueRevenue from In-App metric.
  • RevenueShareFromInAppShare of Revenue from In-App metric.
  • OrdersFromInAppOrders from In-App metric.
  • AverageOrderValueFromInAppAverage Order Value from In-App metric.
  • TotalCustomersCustomers metric.
  • CustomersShareCustomer Share metric.
  • CampaignsRevenueRevenue from Campaigns metric.
  • CampaignsRevenueShareShare of Revenue from Campaigns metric.
  • OrdersFromCampaignsOrders from Campaigns metric.
  • AverageOrderValueFromCampaignsAverage Order Value from Campaigns metric.
  • CampaignsConversionRateCampaign Conversion to Goal metric.
  • AverageRevenuePerRecipientRevenue per Recipient from Campaigns metric.
  • SubscribersSubscribers metric.
  • RecipientsRecipients metric.
  • AverageDeliveredCampaignsPerRecipientDelivered Campaigns per Recipient metric.
  • WebsitePersonalizationRevenueRevenue from Personalization metric.
  • RevenueShareFromWebsitePersonalizationShare of Revenue from Personalization metric.
  • OrdersFromWebsitePersonalizationOrders from Personalization metric.
  • AverageOrderValueFromWebsitePersonalizationAverage Order Value from Personalization metric.

How editing a segment affects the report

  • Changing segment conditions
    • Historical data isn’t deleted.
    • New data starts accruing from the edit date. At the boundary between periods, the chart shows a tooltip: “Conditions for segments changed during this period. Check the event log before comparing.”
  • Stopping segment recalculation
    • Once a period metric reaches zero it stops appearing on the chart.
    • Cumulative (all-time) metrics are calculated using the segment’s membership as of the most recent recalculation.

How data deletion affects the report

Data deletion impacts this report the same way it impacts the Business Metrics report. See the Business Metrics documentation for details.