View the interactive demo
Summary
Your business relies heavily on understanding your audience and engaging with it at the right time and with the right audience. Attribuly's segments feature, based on data from ad clicks to purchases, is the best tool for creating and managing audience segments.
Create and continuously update audiences based on user behavior, attributes, and more
Sync audiences to TikTok, Klaviyo, etc. to achieve targeted customer engagement and improve customer experience
Based on models such as RFM, users can be better grouped
Create a segment
Go to Store-Segments
To create a new segment:
Input a segment name
Build the filters.
Segment Conditions
Customer property. Choose from Email, Country, City, Province, First name, Last name, Created date.
Customer has done. Choose from all the event categories Attribuly has at "Live events. including
Ad interaction.
Email interaction.
Influencer interaction
Social media interaction
Organic search interaction
Referral interaction
Page viewed
product viewed
Collection viewed
Search submitted
Cart viewed
Added to cart
Checkout started
Payment info submitted
Checkout completed
Form submission
Removed from cart
In the value field, input the quantity of an event has been done. You can also use the data field to limit a time range.
Select multiple conditions and connect them with "And" "Or" conditions.
View the segment
The segment update every 24 hours.
Name: The segment name.
Segment size: The number of customers in this segment, including anonymous visitors.
Orders: Total orders placed including all status.
Revenue: Total revenue generated in history, without refund.
Actions: Choose from edit and delete. You can edit the condition, it impacts the segment immediately.
RFM
RFM metrics are essential terms in marketing and data strategies. In Attribuly, they are clearly defined and calculated as follows:
Recency
This metric refers to how recently a customer made a purchase from your company. It is measured in the number of days since their last purchase within your report’s time frame.
Frequency
Frequency measures how often a customer purchases from your company within the specified time frame of your report.
Monetary value
This metric quantifies the amount a customer has spent on their past purchases with your company.
Attribuly offers 6 pre-build customer groups.
Group name | Description | Example of strategies for this group |
Champions | Your best customers |
|
Loyal | Valuable customers that are engaged They purchased somewhat recently or purchase often. but they spend less than their Champion counterparts. |
|
Recent | Recent customers |
|
Needs attention | A valuable customer that has not purchased recently They may have spent a lot or bought frequently in the past, but have not purchased recently. |
|
At risk | A customer that has not purchased recently and/or tend to spend less overall |
|
Inactive | A lapsed customer |
|
Next step, we are building more actions based on RFM, talk to us if you have any request HERE: