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This guide walks through each part of the Analytics dashboard and explains what you’re looking at.

The Date Range and Precision

At the top of the page, a date range picker sets the time window for all the data on the page. It defaults to yesterday through today (two calendar days). Next to it is a precision selector that controls how finely the chart data is divided. Precision determines the spacing between data points on the x-axis. A precision of 1 Min gives you a data point every minute — useful for monitoring a batch send in real time. A precision of Day gives you one data point per day — better suited to understanding weekly or monthly trends. Lettr adjusts the available precision options based on your date range to prevent the chart from becoming unusable. If your date range spans more than 12 hours, the 1 Min and 5 Min options are removed. If it spans more than 24 hours, 15 Min is also removed. You can always select a coarser precision manually regardless of the date range.

The Line Chart

The main chart plots each of your selected metrics as a separate colored line over the time range. Hovering over any point on the chart shows a tooltip with the exact values for every metric at that timestamp. The chart uses a clean axis layout: the x-axis shows time labels, and the y-axis shows counts. Large numbers are abbreviated (e.g., 1.5K, 2.3M) to keep the axis readable. If you’ve selected metrics that operate on very different scales — for example, Targeted (which could be in the thousands) alongside Spam Complaints (which might be in single digits) — the smaller metric’s line may appear flat against the bottom of the chart. In that case, consider viewing them separately by deselecting one group at a time in the Configure modal. Directly below the chart is a dark bar showing the date range and the total count for each selected metric across the entire period. This gives you the headline numbers at a glance without needing to calculate from the chart.

Understanding the Metrics

The metrics available in the Analytics dashboard fall into three groups, reflecting different stages of the email lifecycle. Injection Metrics capture what happens when your application submits an email to Lettr:
MetricWhat It Measures
TargetedTotal number of emails queued for delivery. This is your starting point — everything else is measured relative to this number.
InjectedEmails that were successfully accepted into the sending pipeline.
RejectedEmails that were rejected before entering the pipeline.
Policy RejectionsEmails rejected due to a policy rule (e.g., content or rate policy).
Generation RejectionsEmails rejected during the message generation phase.
Generation FailuresEmails that failed during generation due to a processing error.
Admin BouncesBounces triggered by administrative action rather than by the recipient’s mail server.
Delivery Metrics track what happens once an email enters the sending pipeline:
MetricWhat It Measures
AcceptedEmails successfully delivered to the recipient’s mail server. This is the primary success metric.
DeliveredSame as Accepted in most cases. A delivered email was handed off to the recipient’s server.
BouncesEmails that failed to deliver (hard or soft bounces combined).
Block BouncesBounces caused specifically by the recipient’s server blocking your sending IP or domain.
DelayedEmails that experienced a temporary delivery delay. These are retried automatically and may eventually deliver.
Engagement Metrics track recipient interaction after delivery:
MetricWhat It Measures
Unique OpensThe number of unique recipients who opened the email at least once.
ClickedTotal number of link clicks across all emails in the period.
Unique ClickedThe number of unique recipients who clicked at least one link.
UnsubscribesRecipients who opted out via List-Unsubscribe or an unsubscribe link.
Spam ComplaintsRecipients who reported the email as spam.
Engagement metrics (opens and clicks) depend on tracking being enabled. If you’ve disabled open or click tracking on specific emails, those emails won’t contribute to the corresponding metrics. See Email Tracking for how tracking is configured.

The Breakdown Table

Below the chart and summary, a card contains the breakdown table. To populate it, select a dimension from the Break Down By dropdown. The table then shows your selected metrics broken down by that dimension. For example, if you select Recipient Domain, you’ll see a row for each recipient domain (gmail.com, outlook.com, etc.) with the metric counts for each. You can click on any column header to sort the table by that metric, which makes it easy to find the domains with the most bounces or the highest open rates. The breakdown table uses the same date range and filters as the chart, so it always reflects the same data you’re seeing in the visualization above.