# Mailout Reports

Once a mailout has been scheduled, the Mailout Report becomes available on the Mailout Dashboard.

***

### One-off mailout report

The report is divided into five sections:

**Details** Metadata for the mailout: name, send date, subject line, and pre-header text.

**Overview** A summary of delivery, read, and click performance:

* Emails delivered vs bounced
* Read count and rate
* Unique and total link clicks

Click into any segment to view the contacts in that group. This creates a database filter that can be downloaded.

**Links clicked** Performance data for each link in the mailout. Click into segments to view contacts who clicked a specific link or who did not click anything. Database filters are created automatically.

**Email clients** A breakdown of which email clients were used to read the email, grouped into:

* Desktop applications (e.g. Outlook, Thunderbird)
* Webmail (e.g. Gmail, Yahoo)
* Mobile (e.g. iPhone, Android)
* Other (clients that could not be identified)

A narrative can be added to each section using the **Edit** button. Sections can be collapsed and expanded.

***

### Automated mailout report

Select a date or date range to view the performance of the Automated Mailout over that period. The same report sections and functionality as the one-off mailout report are available for the selected time range.

**Removed links** — a separate section appears under Tracked Links for any links that have been removed from newer versions of the Automated Mailout.

**Activity for the first day** A graph of email interactions over the first 24 hours. Use this to understand when your contacts engage with your emails. For longer-term analysis, create additional filters in the database.

#### Mailout Report FAQs

<details>

<summary>How accurate are open or read rates?</summary>

Email open rates across the industry have become increasingly inflated due to the widespread use of email security and threat-protection systems. Many corporate email platforms, including Microsoft 365 and Google Workspace and others, automatically scan incoming emails by opening messages and pre-checking links before the email reaches the recipient. These automated security processes are often recorded by email marketing platforms like UbiQuity as opens, even when the recipient has not yet viewed the message themselves.

As a result, open rates are no longer considered a fully reliable measure of audience engagement, particularly for B2B campaigns where recipients are often protected by enterprise-grade email security systems. While open rates can still provide a broad indication of email deliverability and visibility, metrics such as click-through rates, website visits, form submissions, replies, and conversions generally provide a more accurate picture of genuine recipient engagement.

For this reason, we recommend evaluating campaign performance using a combination of engagement metrics rather than relying solely on open rates.

</details>

<details>

<summary>Does Apple Mail Privacy Protection impact read rates?</summary>

Since Apple introduced Mail Privacy Protection (MPP) in iOS 15, emails opened on Apple Mail are pre-loaded on proxy servers, which means they register as opened regardless of whether the recipient actually reads them. This inflates open rates for contacts using Apple Mail. Where open rate accuracy is important, focus on click-through rate as a more reliable metric, and consider segmenting your report by email client.

</details>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.ubiquity.co.nz/documentation/channels/email/mailout-reports.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
