The Account Performance report gives you a complete view of how your Connect marketing is performing, this includes contacts, campaign performance, and automation impact; all in one place.
You can find this report in:
Connect → Reports → Account performance
What’s new?
Previously, Connect reporting focused heavily on open rates and click rates.
Open rates in particular have become less reliable across the industry. This new report gives you access to more meaningful performance data, including:
- Bookings attributed to campaigns
- Covers generated
- Attributable Visits
- Revenue from me&u Serve (Order & Pay)
- Revenue from any custom apps that sends transaction information to connect like booking platforms & point of sale systems.
- Automation performance over time
- CSV exports for deeper analysis
This creates a more complete, self-serve reporting experience inside Connect platform.
In this article
- Account Performance
- Campaign Performance
- Automation Performance
- How Campaign Revenue Is Calculated
- Exporting Data
Exporting Your Data
You can export data from tables and charts using the built-in Download / CSV export functionality.
This allows you to:
- Build executive summaries
- Share reports with stakeholders
- Perform deeper analysis in Excel or Google Sheets
How Often Is Data Refreshed?
Data on the Account Performance (Reports) page is refreshed once daily, around 9:30am AEST.
This means there can be a delay of up to 24 hours between what is shown in the Account Performance report and the native Connect campaign statistics.
Also to note that Native Connect campaign statistics update in real time, while the Account Performance report reflects the latest available daily data snapshot. Minor differences between the two views are expected due to refresh timing and default date range differences.
The Account Performance report defaults to the previous 3 months, whereas other areas of Connect (such as Campaign Statistics) may display all-time data by default.
1. Account Performance
This section provides a high-level snapshot of your database and engagement.
Key Metrics
-
Contacts: Total contacts in your database
- Learn more about how duplicate contacts are handled
- Active emails: Valid and contactable email addresses
- Active mobiles: Valid and contactable mobile numbers
- Emails sent (campaign vs automation)
- Weekly performance breakdown
- Attributable Visits: Total number of contacts who made a booking or completed a transaction within 14 days of receiving a campaign or automation email.
Use this section to quickly answer:
- Is my database growing?
- Are we sending more campaigns or automations?
- Are engagement rates trending up or down?
2. Campaign Performance
This section shows the impact for each campaign sent within your selected date range.
For each campaign, you can view:
- Sent date
- Campaign folder
- Subject line
- Recipients
- Opens
- Open rate
- Clicks
- Click rate
- Bookings
- Covers
- Attributable visits
-
Revenue
- me&u Serve (Order&Pay)
-
Other revenue (custom apps that sends transactional information to Connect like booking platforms & point os sale systems)
- To check whether your app sends transactional values to Connect, go to Apps → Manage existing Apps→ Installed apps, then select the booking app you are using and click on Stats.
This allows you to answer key questions such as:
- Which campaign generated the most bookings?
- Which subject line drove the highest engagement?
- Which campaigns converted engagement into revenue?
- Are promotional campaigns outperforming brand campaigns?
It is important to look beyond open and click rates.
For example:
- A campaign with a high open rate but low bookings may indicate strong subject lines but weak offers.
- A campaign with moderate opens but high bookings may indicate highly relevant targeting.
- A campaign with high clicks but low revenue may suggest friction in the booking journey.
Use bookings, covers and revenue to measure true performance, and not just engagement.
How is Campaign revenue calculated?
Bookings, covers and revenue are attributed using a 14-day attribution window based on the last email sent.
This means: • If a guest receives multiple emails within 14 days, • The booking and revenue will be attributed to the most recent email before they dined.
For example:
If a guest receives emails on 1 Jan, 7 Jan and 14 Jan, and dines on 10 Jan, the booking and revenue will be attributed to the 7 Jan email (the most recent email before their visit).
This ensures revenue is attributed to the most relevant marketing touchpoint.
The visual chart below the table shows:
- Open rate by campaign
- Click rate by campaign
This helps you identify patterns such as:
- Seasonal uplift
- Subject line trends
- Promotional fatigue
- Messaging that consistently performs well
Reviewing this over time can help refine:
- Subject line structure
- Send timing
- Offer positioning
-
Audience segmentation
3. Automation Performance
The Automation Performance section shows how your always-on journeys are performing over time.
Unlike campaigns (which are one-off sends), automations run continuously so this section helps you measure long-term impact.
Automation Performance Table
For each automation email, you can view:
- Sent date
- Subject line
- Recipients
- Bookings (covers)
- Attributable visits
- Recipients
- Opens
- Open Rate
- Click Rate
- me&u Serve (Order&Pay) revenue
- Other revenue
This helps you understand:
- Which automations are driving repeat visits
- Which subject lines consistently convert
-
Whether lifecycle messaging is generating bookings
Automation Emails Sent (by trading week)
This chart shows how many automation emails were sent each week, broken down by journey type (e.g. Welcome, Birthday, Milestone).
Use this to:
- Monitor database growth
- Identify seasonal spikes
- Understand send volume changes over time
For example:
- A spike in Birthday sends may reflect seasonal guest patterns.
- A drop in Welcome sends may indicate slower database growth.
Automation Open & Click Rates
Track engagement trends across your automations over time.
Because automations run continuously, this view helps you:
- Compare performance month-to-month
- Identify subject line fatigue
- Measure improvements after content updates
- Monitor seasonal uplift (e.g. holiday periods)
Review this section regularly to ensure your automated journeys continue to perform and convert over time.