# Read sequence reports

> Where each number lives — the sequence Stats tab and its Brief and Detailed views, the Reports Emails dashboard, smart filters, and the CSV export options.

**Open a sequence's Stats tab for key metrics, the performance chart, and the Brief or Detailed step view with A/B variants, then use the Reports Emails dashboard for team, sequence, template, email account, and provider breakdowns. Filter with smart filters and export contact-based or sequence-based CSV files from the Export button.**

_Status: Reviewed — human-edited, facts not yet confirmed against the product._

## Goal

Find the right report for the question you're asking — and click straight to it. This page
is the interface map; the decision workflow on top of these reports is
[Analyze campaign performance](/workflows/analyze-campaign-performance).

## Preconditions

Running sequences with some volume, and knowledge of which tracking is enabled — opens
tracking is disabled by default for new sequences, so zero opens can be by design.

## Steps

1. Open a sequence and go to the **Stats** tab. It shows the last 7 days by default; use the Time filter for Last Week, Last Month, Last Year, All Time, or a Custom date range.
2. Read the Key Metrics — Total people, Contacted, Delivery rate, Open rate, Reply rate, Interested, Opt-outs rate, and Not reached. Key metrics are prospect metrics: multiple emails to one contact count only once. Hover the info icon on a counter for its definition, and hover Not reached for the Out of Office, Bounced, and Auto reply breakdown.
3. Check the performance chart — Deliveries, Opens, Replies, Interested, and Meetings booked over time. Click **Opt outs** or **Bounced** in the chart legend to reveal those hidden series; their bars group by the date the email was sent, not the date the bounce or opt-out happened.
4. Switch the Detail View between **Brief** and **Detailed** for per-step metrics, and turn on the variants toggle to compare A/B performance per step. A step type icon next to each step row shows the step type on hover.
5. For account-wide analysis, open **Reports** and click the **Emails** dashboard. Filter by email accounts, domains, sequences (**No sequence** shows direct emails sent outside sequences), owners (Team Edition), and time. The data follows the timezone set in your account settings, and all metrics are tied to the date the emails were sent.
6. Add smart filters for narrow questions — country, state, city, industry, company, title, contact list, contact CSV file, email validation status, sequence step, email template, and more. Click **Save** in the smart filters panel to reuse the pattern later.
7. Read the detailed breakdown in five views — **Team**, **Sequences**, **Templates**, **Email accounts**, and **Contacts by providers** — sort by any column, and use the settings icon to reorder or hide columns. Click a sequence name to jump straight to its Stats tab.
8. Export: click **Export** and choose **Export contact CSV** (data per contact), **Export sequence CSV** (general stats per sequence), or **Export sequences with Trends CSV** (enable Trends in the smart filters first). Download the file from the notification once the report is ready.

## Expected result

You can answer: is delivery healthy, which step loses people, which variant and template
win, which email account and provider deliver — each from the view built for that
question.

## Verification

Before comparing any two numbers, check their definitions — the counter tooltips,
[How statistics are calculated](/behavior/statistics-calculation), and
[Calculations](/reference/calculations). Delivery rate is calculated against Total people,
while open and reply rates are calculated against Contacted.

## What happens next

Turn readings into changes with
[Analyze campaign performance](/workflows/analyze-campaign-performance) — the decision
workflow on top of these reports.

## Common mistakes

- Comparing rates with different denominators — delivery rate is over Total people while reply rate is over Contacted; see [Statistics calculation](/behavior/statistics-calculation).
- Reading opens with opens tracking disabled — zero is by design, not a result.
- Expecting bounce and opt-out bars on the day the event happened — the chart groups them by the send date.

## Related

- [Campaign analytics](/capabilities/campaign-analytics)
- [How statistics are calculated](/behavior/statistics-calculation)
- [Why do statistics not match?](/troubleshooting/statistics-do-not-match)

## Build with Reply

- REST API: [docs.reply.io](https://docs.reply.io/api-reference/introduction) — statistics and reporting endpoints
- CLI: [agents.reply.io/cli](https://agents.reply.io/cli) — reports for scripts and agents