To have insights for your database based on the sent communication information, follow the steps below:
Open the Insights module, then go to Communications.
Click the Email tab.
Read the charts
Campaigns
Here you can see how each campaign within your selected range has performed.
Column | Details |
Sent | Your initial number of recipients for the campaign. |
Dispatched | How many emails attempted to send out. |
Delivered | How many emails were actually delivered to the recipients inbox. |
Delivery rate | The number of emails delivered to an inbox divided by the number dispatched. |
Email quality score | Compares the number of unsubscribes compared to the number of recipients who engage with the email. The overall responders include unique clicks and unsubscribers. As open rates become more unreliable, email quality score provides a valuable indicator for how many people are happy to continue receiving your emails compared to those who ask to be removed from the mailing list. |
Total opens | How many times have the recipients opened the email. Counts the same recipient multiple times if they've opened it more than once. |
Unique opens | How many times have unique recipients opened the email. Only counts each recipient once, even if they open it more than once. |
Unique open rate | The rate of the distinct opens for your emails. |
Total clicks | How many times did the recipients click. This counts the same recipient multiple times if they've clicked it more than once. |
Unique clicks | How many times unique recipients clicked the email. Only counts each recipient once, even if they click more than once. |
Unique click rate | The unique number of people who clicked a link in your campaign divided by the number of emails delivered. |
Unique click to open rate | The unique number of clicks divided by the unique number of opens. |
Unsubscribers | The number of the contacts who unsubscribed |
Unsubscribe rate | The number of unsubscribes divided by the number of the delivered emails. |
Complaint rate | The percentage of contacts who have marked the email as spam or junk. |
Soft bounce rate | The number of soft bounces divided by the number of the delivered emails. |
Hard bounce rate | The number of hard bounces the number of the delivered emails. |
Contacts visited in defined measure | The number of contacts who have subsequently visited after 14 days of the campaign being sent out. By default the defined measure is 14 days.
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Direct spend in defined measure | All direct spend (transactions) linked to a campaign, i.e. of the customers who visited within 14 days of the campaign, those who used a voucher code, pre-paid booking. We can link the customer to the transaction file from the EPOS. |
Indirect spend in defined measure | All indirect spend (transactions) made by a customer who visited within 14 days after the campaign was sent. The sum of the most likely spend is calculated by analysing past customer data for that day, time, and location. |
Total spent in defined measure | The total indirect and direct spend combined. |
Contacts visited without overlap in defined measure | This removes the overlap in the scenario where a customer receives 2 email campaigns within a 14 day period. In normal cases (above), customer Xβs spend would be attributed to both emails in full. These stats remove the overlap. The general rule is: we attribute the customer to the first email they received. |
Direct spend without overlap in defined measure | Same as above, except the general rule is: we attribute spend to the first email that the customer received. |
Indirect spend without overlap in a defined measure | Same as above, except the general rule is: we attribute spend to the first email that the customer received. |
Total spend without overlap in defined measure | Same as above, except the general rule is: we attribute the spend to the first email that the customer received. |
Contacts Booked | The number of customers who have made a booking within the defined measure. The default defined measure is 14 days since receiving the communication. |
To export this table to Excel, click the burger menu
icon on the right side of the table, then click Export to Excel.To add specific filters to your campaigns, click the filter
icon and personalise your view.
