Audience
What is an audience?
A target group defined by one or more targeting conditions. Conditions that include a "First Date" will only target customers whose relevant behavior occurred after that date.
You can use audiences when creating on-site and message campaigns.
Some features may not be available on all platforms.
From Preset
Explore prebuilt audience presets, recommended by Datarize for effective targeting.
Long-term non-visit customers (## days or more) *30/60/90 days
These customers haven't visited in over ## days. Create a campaign to win them back with exclusive offers!
Customers who visited within the last 7 days
These customers visited yesterday but left without viewing any products. Create a campaign to bring them back!
Customers who churned at the store visit stage
These customers visited 1 day ago but churned without viewing any products. Create a campaign to encourage these customers to return!
Customers who churned from the product browsing stage
These customers viewed a product page yesterday but left without starting checkout.
Customers who churned at the order form stage
These customers started checkout yesterday but didn't complete their order.
Customers who have not logged in for # days *351 /358 days
These customers haven't logged in for # days. Create a campaign to re-engage them before their account goes inactive!
Customers who added a product to their Shopping Cart in the last # days
These customers added a product to their Shopping Cart # days ago. Create a campaign to encourage their purchase!
Customers who added a product to their Shopping Cart in the last 7 days
These customers added a product to their Shopping Cart within 7 days. Create a campaign to encourage their purchase!
Customers with few items in their Shopping Cart
These customers have products that cost a total of 30,001-49,999 won in their Shopping Cart. Create a campaign to encourage their purchase with secret benefits and more!
Customers with many items in their Shopping Cart
These customers have products that cost a total of 50,000 won or higher in their Shopping Cart. Create a campaign to encourage their purchase with secret benefits and more!
Customers who added products to shopping cart in the last 7 days but not purchased within 3 days
Customers who added products to their cart within the last 7 days but have no purchase history within the last 3 days. Create a campaign to encourage their purchase!
Customers who have never made a purchase
These customers have never made a purchase before. Create a campaign to remind them of their first-purchase benefits!
Potential non-purchase customers
These customers have never made a purchase before but have recent behavior patterns that indicate a high conversion probability. Create a campaign to remind them of their first-purchase benefits!
Customers who are expected to churn after the first purchase
These customers are likely to churn 30 days after the first purchase. Create a campaign to inform them of their repurchase benefits!
Potential customers among those who are likely to churn after the first purchase
These customers made a purchase more than 31 days ago but have recent behavior patterns that indicate a high conversion probability. Create a campaign to inform them of their repurchase or comeback benefits!
Customers who have not repurchased after 90 days
These customers made 2 or more purchases but have not purchased for over 90 days since their last purchase. Create a campaign to inform them of new season products or comeback benefits!
Customers likely to churn after repurchasing
These customers have made 2 or more purchases but are likely to churn. Create a campaign to encourage them to stay!
Customers who purchased within the last 7 days
These customers purchased within the last 7 days. Create a campaign to encourage visits with secret benefits and more!
Customers who recently signed up but have not purchased
These customers signed up in the last 14 days but made no purchases. Create a campaign to remind them of their first-purchase benefits!
Customers who made a purchase in the last 3 months but are likely to churn
These customers purchased 31 to 90 days ago but are likely to churn. Create a campaign to inform them of their repurchase benefits!
Customers who have purchased recently but have a high conversion probability
These customers did not purchase in the last 3 days but have a conversion probability score of 50 points or higher. Create a campaign to encourage their purchase!
Customers who are highly likely to purchase
(Conversion probability score of ## or higher) *25/50/75 score
These customers have a conversion probability score of ## points or higher. Create a campaign to encourage their purchase!(What is a conversion probability score?>)
Customers with points of at least 1,000 won
These customers have more than 1,000 won in points. Create a campaign to encourage them to use their remaining points!
All customers
These are all registered customers. If they are not Friends with the KakaoTalk channel, the Brand Message (I Type) will not reach them, so you can determine whether they are KakaoTalk friends through a campaign targeting all customers.
(Campaigns targeting all customers require caution when using them. If you keep the campaign ON, you can expect messages to be sent to your entire audience once a week. Manage the ON/OFF status according to your campaign goals!)
Customers who have opted out of receiving marketing information
These customers have yet to opt in to receive SMS and e-mail marketing information. Create a campaign to encourage them to opt-in to your store's marketing information!
Customers who have coupons that expire within 3 days
These customers have a coupon that expires within 3 days (From 1 to 3 days). Create a campaign to encourage their purchase!
Customers who have coupons that expire tomorrow
These customers have a coupon that expires tomorrow. Create a campaign to encourage their purchase!
Customers who abandoned checkout in the last 7 days
This is a customer who has abandoned checkout within the last 7 days. Create a campaign to remind them to complete their purchase!
Customers who had a Brand Message (I Type) sending attempt within the last 7 days and failed on the last attempt.
This customer's most recent Brand Message (I Type) attempt in the last 7 days failed. Since it is likely that they are not KakaoTalk channel friends, Create a campaign to encourage them to add you as a friend!
From Scratch
You can create your own audience by combining the targeting conditions you want. Refer to the descriptions of each condition below to create the desired audience!
All period conditions can be set based on either the “Send date,” which is calculated based on the day the campaign is sent out, or the “Select date,” which allows you to specify a fixed date.
1. Customer conditions
This is the value for customers who registered after the "First Date."
Membership tier
Customer's membership tier (If you select "All," all members will be targeted.)
Shopify Tags
Shopify only Tags set on the Shopify customer details page
(Shopify Guide >)
Sign-up date
The date of membership registration
Last log-in date
The date of last log-in
Points owned
The points owned by the customer
Imweb sites only retain access records from June 19, 2024, so you can target customers who logged in after that date.
2. Acquisition Conditions
This data shows acquisition activity from the last 30 days.
Direct Visit / Specific Acquisition Channel
Direct Visit: When a user enters the site by typing the URL directly or using a bookmark.
Tracked Visit: Visits using links tagged with Source, Medium, or Campaign values via UTM Parameters.
3. Visit conditions
This is the value for visits that occurred after the "First Date."
The visit is checked using the metadata of ECP (platform) based on log data collected through the Datarize script. (The first visit date for each customer is the date of membership registration, and the last visit date is calculated as the most recent date between the log data (date of visit) and metadata (date of log-in)).
Number of visits
Number of total visits up to now (If visited multiple times in one day, it is counted as 1 visit.)
Last visit date
The date of the last visit
4. Product or category conditions
The Shopping Cart and purchase-related conditions are based on the behavior value that occurred after the "First Date."
Interested product/category
Customers who may be interested in a specific product or category (As the recommendations are based on the overall behavior patterns of all customers, the customers who have not directly viewed the specific product can also be targeted.)
Product/Category in Shopping Cart
Customers who currently have a specific product or category in their Shopping Cart (If multiple products or categories are set, customers with at least one in their cart are targeted.)
Product/Category in Abandoned Checkout
Shopify only Customers who churned at an order stage for specific product or category (If multiple products or categories are set, customers who churned an order for any one of them are targeted.)
Purchased product/category
Customers who have purchased a specific product or from a specific category (If multiple products or categories are set, customers who have purchased at least one of them are targeted.) You can create more detailed and precise targeting by setting the total number of purchases, total purchase amount, and option values within the selected products or categories.
Non-purchased product/category
Customers who have not purchased a specific product or from a specific category (If multiple products or categories are set, customers who have not purchased any of them are targeted.)
Viewed product/category
Targets customers who viewed a specific product detail page or a product detail page within a specific category. ※ Customers who only visited the category listing page are not included. Only those who actually viewed a product detail page will be targeted.
Date added to Shopping Cart
The date the product or category was added to the Shopping Cart
(MakeShop supports data up to 14 days prior, and FlexG up to 30 days prior. Therefore, the "First Date" will also be 14 or 30 days before the inquiry date.)
Date of Abandoned Checkout
Shopify only The date when the customer churned the order form for the specific product or category
Purchased date
The date when the specific product or category was purchased
(If this value is not set, it targets customers who have purchased the specific product/category during the entire period.)
Non-purchase date
The date when the specific product or category was not purchased
(If this value is not set, it targets customers who have not purchased the specific product/category during the entire period.)
5. Shopping Cart conditions
This is the value for Shopping Cart data that occurred after the "First Date."
The number of products currently in the Shopping Cart
The total number of products currently in the Shopping Cart
The total amount in the shopping cart
The total amount of products currently in the Shopping Cart
Date the item was added to Shopping Cart
When the products currently in the Shopping Cart were added
6. Abandoned Checkout conditions
Targets the last updated order form for each customer that churned an order form after the “First Date.”
Only Shopify is available for use.
The number of products in checkout
The total number of products in the last updated abandoned checkout
The total amount in checkout
The total amount of the products in the last updated abandoned checkout
Date of abandoned checkout
The date that a customer abandoned checkout (Order forms not updated for about 3 months are deleted from Shopify, so only those churned within the last 3 months can be targeted.
7. Conversion conditions
This is the value for purchases that occurred after the "First Date." The definition of purchase refers to "Order to Purchase Completion," and the canceled purchases are treated as non-purchases.
Entire period/Specific period
The period for which to check the purchase data
Purchase/Non-purchase
Whether the customer purchased a product during the purchase period (entire period or specific period)
The number of times purchased
The number of purchases made during the purchase period (orders) (If you set 'N or less purchases', customers who have made 1 to N purchases will be targeted.)
The amount spent on purchases
The amount spent during the purchase period
The date of purchase/non-purchase
Period with/without purchase history
Last purchase date
The date of the last purchase
8. Conversion probability score conditions
The conversion probability score is calculated based on all behaviors of site visitors, measuring how similar their behavior patterns are to those of other customers who have made purchases. A higher score means the visitor has progressed further towards the final stage of the purchase funnel. Since the score is calculated based on recent site visits, even a low score indicates a customer with potential to purchase.
Check the “conversion probability score” under the [User] menu and set an appropriate conversion probability score range!
9. Churn probability conditions
The churn probability is calculated based on the purchase cycle of customers who have made 2 or more purchases. The purchase cycle is determined using each customer's individual purchase data, leading to different values for each customer. This metric only applies to customers who have made at least 2 purchases to date, so it does not exist for those who have never purchased or who are first purchase customers.
Check the “Churn probability” under the [User] menu and set an appropriate churn probability range.
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