How can I use the data extension in the Salesforce marketing cloud for creating targeted customers?
I am a marketing cloud administrator and I am responsible for managing customer data. A new campaign requires segmenting customers based on their purchase history, demographics, and engagement levels. Describe to me how I can use the data extension in the Salesforce marketing cloud for creating targeted customer segments for this campaign, ensuring data accuracy and effective campaign implementation.
In the context of Salesforce, you can create targeted customer segments for a campaign in the Salesforce marketing cloud by using the data extension using the following steps:-
Data Import
Firstly, you would need to import the customer data in a data extension. Ensure that the data extension includes fields for purchase history, demographics engagement levels, and any other relevant data points.
Segmentation criteria
Try to define the segmentation criteria based on the campaign requirements. This could include SQL queries that filter customers based on specific conditions such as purchase amount, product categories, age group, e-mail opens, etc.
Data accuracy checks
You can validate the accuracy of segmented data by using the running test queries and reviewing the results. Try to ensure that the segmentation logic should align with the campaign goals.
Segmentation updates
You should regularly update the segmented data extension to reflect changes in customer behavior or demographics. You can automate this process by using the schedule automation studio activities.
Here is an example SQL query given which would demonstrate segment customers based on the purchase history, demographics, and engagement levels:-
/* Create a new Data Extension for High-Value Customers */
CREATE TABLE HighValueCustomers AS
SELECT
CustomerID,
FirstName,
LastName,
Email,
PurchaseAmount,
Age,
CASE
WHEN EmailOpens > 0 AND EmailClicks > 0 THEN ‘Engaged’
ELSE ‘Not Engaged’
END AS EngagementLevel
FROM
CustomerDataExtension
WHERE
PurchaseAmount > 1000
AND Age >= 25
AND Age <= 50
AND Gender = ‘Female’;
/* Create a new Data Extension for Recently Purchased Items */
CREATE TABLE RecentlyPurchasedItems AS
SELECT
CustomerID,
FirstName,
LastName,
Email,
PurchaseDate,
ProductCategory
FROM
CustomerDataExtension
WHERE
PurchaseDate >= DATEADD(day, -30, GETDATE());
/* Create a new Data Extension for Inactive Subscribers */
CREATE TABLE InactiveSubscribers AS
SELECT
CustomerID,
FirstName,
LastName,
Email
FROM
CustomerDataExtension
WHERE
LastEmailDate <= DATEADD(day, -90, GETDATE());