---
title: "Special Message Statistics"
slug: "special-message-statistics"
updated: 2026-03-03T09:53:00Z
published: 2026-03-03T09:53:00Z
canonical: "docs.mapp.com/special-message-statistics"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mapp.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Special Message Statistics

## Introduction

Certain message types affect how statistics are calculated and interpreted. This applies in particular to:

- Split sendouts
- Super messages

Both introduce structural differences that influence recipient counting and aggregation of metrics.

Understanding these differences is essential for correct interpretation of delivery, engagement, and conversion metrics.

---

## Split Sendouts

A split sendout distributes multiple message variations to different portions of a group in order to compare performance before optionally sending a final version to the remaining recipients.

### Statistical Structure

- Each variation is treated as an independent message.
- Each variation generates its own delivery and engagement metrics.
- The final sendout (if executed) is reported separately from the test variations.
- Each variation has its own message ID.

### Interpretation of Metrics

- Unique metrics (for example, unique opens or unique clicks) are calculated per variation.
- Recipients included in different variations are evaluated independently.
- The final sendout does not merge statistics with the test variations.

When comparing split results, it is important to distinguish between:

- Individual variation performance
- Final sendout performance
- Comparative evaluation across variations

Each variation represents a separate statistical entity.

---

## Super Messages

A super message is sent to multiple groups simultaneously through a supergroup.

Because contacts can belong to more than one subgroup, a single recipient may receive the same message multiple times.

### Statistical Structure

- Each subgroup sendout generates its own message statistics.
- Each subgroup message has its own message ID.
- The super message provides aggregated statistics across all subgroup sendouts.

### Aggregation Behavior

The aggregated super message statistics are calculated by adding the individual subgroup results.

No automatic deduplication is applied across subgroups.

This means:

- A recipient who belongs to multiple subgroups may be counted multiple times.
- If a recipient receives the message twice and opens both,

they are counted once in each subgroup message,

and twice in the aggregated super message statistics.

As a result, totals for opens, clicks, or conversions can exceed the number of unique contacts in the system.

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## Interpreting Unique Metrics

For standard group messages, unique metrics count each recipient once per message.

For special message types:

- In split sendouts, uniqueness applies per variation.
- In super messages, aggregation can lead to repeated counting if recipients belong to multiple subgroups.

Correct interpretation therefore depends on understanding the structural setup of the sendout.

---

## Related Topics

For detailed evaluation options and interface-specific explanations, see the respective message statistics documentation in the [Online Help](/v1/docs/online-help-statistics).