Campaign frequency management is important to ensure your customers don’t get overloaded by your campaigns. Bloomreach Engagement’s frequency policies allow you to set generic frequency rules for the entire audience or intelligently limit the number of campaigns by dynamically adapting to the customer's level of interactions and engagement. This is so that customers are informed – but not overwhelmed. The reduction of the frequency of emails is a proven tactic for re-engaging a less engaged audience.
Bloomreach Engagement offers a pre-built “Smart Newsletter Policy” that you can use out of the box, but you can also edit or create your own segments and adjust the rules for those separately.
To create frequency policies, go to
Project settings >
Privacy management >
Frequency policy. You can choose multiple settings for a single policy. To do so, click on the edit button.
A single policy is identified using a unique ID (used in campaign events, property name campaign_policy), a user-facing name, and at least one segment with defined limits.
Each defined policy can then be applied in a campaign. All the different campaigns that have the same frequency policy set, will respect the policy limits together. For example, if the policy limit is no more than 2 campaigns a day and we have 3 campaigns triggered that day for the same customer using this policy, the first two campaigns will be sent out, while the third one will not be sent, in the order of when the campaigns are triggered. Campaigns that have different frequency policies will not influence each other's volumes.
Only marketing emails are counted towards 'action_type = email'.
Each policy can contain multiple segments that will define the policy's behavior for customers matching the segment. Simpler policies will use just a single segment matching all customers, with the same set of rules applying to all customers. Different customers may, however, have different preferences, so you may define multiple segments (using customer filters) with different rules. So for example, one segment matching customers with a high email open rate may allow multiple emails per week, while the segment catching the rest of customers with a low open rate will limit the communication to just one email per week.
One policy may contain up to 12 segments. The last segment must always catch the rest of the customers, i.e. those not matched by any of the previous segments.
Max. messages per customer/period define how many messages can be sent within a relative time frame. It is composed of an integer limit and a duration, for example, 3 messages per 7 days. Up to 4 different rules may be defined per one segment, once at least one of the rules is fulfilled the messages will not be sent.
You can choose from 6 relative time periods: minutes, hours, days (24 hours), weeks (7 days), months, and years. The periods are evaluated as follows. For instance, say the current time is 15:00. If you filter the last 1. day, you will get only events that happened only today from 00:00, thus covering only 15 hours, not 24. If you want to cover the full 24 hours even going back to the previous day, then you need to select the option last 24 hours.
A limit of 0 per any duration can be used to suppress all communication for a segment. It's also possible for a segment to define no 'max. messages per customer/period' constraints, which means no communication limits will be imposed.
With the help of our email deliverability experts and data scientists, we have created an out-of-the-box email sending policy that can be used for e.g. newsletters. It is designed to limit the number of emails sent to inactive and lapsing segments, but distinguish those who recently visited the website. Also, it identifies the segment of subscribers that opens a majority of the emails they receive, who can receive an extra email per day.
Updated 7 months ago