Automation rules analytics

Automation rules make it possible to create automated marketing campaigns, optimise eCommerce sales and make working with B2B easier for marketers. Thanks to detailed rule analytics you can check how often a rule activates for contacts, and what is more important, if the rule sends emails you will have access to statistical reports from each mailing.

To view rule analytics go to Automation Processes -> Automation Rules -> choose a rule you want to review and click Details.

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Rule details – in this section, you can review data on a specific rule, turn it on and off, export it, edit its settings and preview email templates used by the rule.

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[1] Rule name,

[2] Number of rule activations,

[3] Contacts for which the rule was activated (the Who? button opens a window with a list of these contacts)

[4] Created by (owner email address)

[5] Information on whether the rules is shared by multiple owners

[6] Date of creation

[7] Date of modification

[8] On/off switch

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Chart: the number of rule activations for all contacts, for a set period of time

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Rule details – here you can edit various rule parameters. Click on arrows to activate drop-down menus.

[1] Events – a list of events that trigger the rule, e.g. “Contact was tagged with: DEMO_TAG1”

[2] Conditions – a list of conditions that must be met in order for the rule to activate, e.g. “Contact clicked link in email: Demo email 2”

[3] “If yes” Actions – actions that will be performed if conditions were met, e.g. “Send alert: Demo alert”

[4] “If no” Actions – actions that will be performed if conditions were not met, e.g. “Add tags: DEMO_TAG2, DEMO_TAG3 to contact”

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Chart: the number of viewed, sent and clicked messages sent by the rule, for a set period of time

TIP: the below section only becomes accessible after mailing is scheduled as an action connected to a rule

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Statistics – on the bottom of the page, the final section is located.

[1] Sent email statistics – here you can see the total number of sent emails (the Who? button opens a window with a list of these contacts), included in the total are also the following: filtered (undelivered because of filter settings, or lack of user permission) and failed (hard bounces) messages, as well as the number of messages that were flagged as spam by their recipients,

[2] Chart: Average Open Rate – on this chart, you can see the proportion of messages opened to messages sent. Unique opens are counted each time a message is opened for the first time (the Who? button opens a window with a list of these contacts),

[3] Chart: Average Click Through Rate – on this chart you can see the proportion of messages clicked to messages sent. Unique clicks are counted each time a message is clicked for the first time (the Who? button opens a window with a list of these contacts),

[4] Automated emails – a list of automatic email templates that were used by the automation rule. You can also see statistics on the number of messages sent, unique opens, unique clicks and failed deliveries per a specific template.

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