Campaign Dashboard

What Is the Campaign Dashboard

The Campaign Dashboard provides a centralized view of all marketing campaigns, making it easier to evaluate their effectiveness and return on investment. It highlights reach, revenue impact, reactivation metrics, and user engagement across campaigns, allowing marketing teams to compare performance across campaigns and periods.

Accessing the Report

Follow the steps below to view the Campaign Dashboard:

Campaign Summary

The report contains a Campaign Summary tab, which shows high-level campaign KPIs, a revenue trend graph, a performance table, and an engagement lifecycle chart.

Summary Tiles

These tiles display top-line performance for all campaigns in the filtered range:

• Total Campaigns: the total number of individual campaigns included in the selected filters. It reflects how many campaigns were launched during the specified time frame, brand, and campaign type.
• Attributed Revenue (7 Days): the total revenue generated from customer orders placed within seven days of receiving a campaign message. Only orders that can be directly attributed to campaign engagement are included.
• Total Reach: the total number of users who successfully received the campaign message, including all intended recipients regardless of whether they opened or interacted with it.
• Total Unique Opens: the number of individual users who opened a campaign message at least once. Each user is counted only once, even if they opened the message multiple times.
• Total Clicks: the total number of times users clicked a link within the campaign messages, across the selected campaigns. It may count multiple clicks from the same user.
• Reactivation (14 Days): how many previously inactive users placed an order within 14 days of receiving the campaign. It is a key indicator of short-term re-engagement.
• Reactivation (30 Days): the number of inactive users who placed an order within 30 days of receiving the campaign, providing a longer-term view of how effectively the campaign brought customers back.

Attributed Revenue (7 Days After Campaign)

This line chart displays the total revenue attributed to campaign activity for each of the first seven days after a campaign is launched.

• The x-axis represents the number of days since the campaign was sent, from Day 0 (launch day) through Day 7.
• The y-axis shows the corresponding revenue in dollars for each day.
• The chart helps identify which days following a campaign generated the highest revenue, making it easier to analyze how quickly recipients responded.
• It can be used to assess whether the campaign had an immediate impact or drove gradual engagement over the week.

Campaign Performance Table

The Campaign Performance Table provides a detailed summary of all campaigns included in the selected filters. Each row represents an individual campaign, and the columns offer insights into how each campaign performed in terms of delivery, engagement, and reactivation. Each column is described below:

• Campaign Name: the name of the campaign, typically describing the promotion, location, or theme.
• Start Date: the date and time the campaign was launched and delivered to recipients.
• Subject: the subject line of the campaign message as seen by the end user.
• Campaign ID: a unique internal identifier assigned to each campaign.
• 7 Days Attributed Revenue: the total revenue generated within seven days of the campaign being sent, based on tracked customer engagement and conversions.
• Messages Sent: the total number of campaign messages attempted to be sent to users.
• Messages Delivered: the number of campaign messages successfully delivered to recipients, excluding any hard or soft bounces.
• Deliverability Rate: the percentage of successfully delivered messages out of total messages sent. A higher rate indicates better list hygiene. Formula: Messages Delivered ÷ Messages Sent.
• Hard Bounces: the number of messages that permanently failed to deliver due to invalid addresses or other non-recoverable issues.
• Soft Bounces: the number of messages that temporarily failed to deliver due to issues like full inboxes or server delays.
• Bounce Rate: the percentage of total messages that were either hard or soft bounced. Formula: (Hard Bounces + Soft Bounces) ÷ Messages Sent.
• Unique Opens: the number of individual users who opened the campaign message at least once. Each user is counted only once.
• Open Rate: the percentage of recipients who opened the campaign out of those who received it. Formula: Unique Opens ÷ Messages Delivered.
• Clicks: the total number of times recipients clicked a link within the campaign message, which can include multiple clicks by the same user.
• Click-Through Rate (CTR): the percentage of delivered messages that resulted in at least one link click. Formula: Clicks ÷ Messages Delivered.
• Unsubscribes: the number of users who unsubscribed from future campaign messages via this campaign.
• Unsubscribe Rate: the percentage of recipients who unsubscribed after receiving the campaign. Formula: Unsubscribes ÷ Messages Delivered.
• Reactivations Within 14 Days: the number of users who were inactive before the campaign and returned to place an order within 14 days after receiving it.
• Reactivations Within 30 Days: the number of users who were reactivated within 30 days of receiving the campaign message.

Campaign Life Cycle

This bar chart illustrates how recipients engaged with the campaign across key touchpoints in the user journey. Each bar represents a stage in the campaign lifecycle:

• Opened: the total number of recipients who opened the campaign message.
• Clicked: the number of recipients who clicked at least one link within the message.
• Converted: the number of recipients who completed a tracked conversion action, such as placing an order.
• Reactivations Within 14 Days: the number of users who were inactive before the campaign but placed an order within 14 days after receiving the message.

This visualization provides a funnel-like view of how recipients moved from initial exposure to meaningful engagement, helping identify where drop-offs occur and which stages perform well.