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What are the main benefits of MA?

Posted: Wed Jan 22, 2025 4:36 am
by mdmarouf988
Web access analysis
Webpage
Payment/EC data
CRM
Customer Support
Marketing Automation (MA)
Advertising/Marketing
Data Management Platform (DMP)
Social Media
Mobile/Desktop Applications
Mobile Analytics
Webhooks
Database
Open Source Data/Servers
Raw Data
INFRASTRUCTURE AS A SERVICE (IAAS)
PLATFORM AS A SERVICE (PAAS)
SQL and Data Science
Machine Learning
Business Intelligence (BI)
IOT Devices and Sensors
Enterprise Resource Planning (ERP)
Treasure Workflow
With Treasure Data CDP, you can use a feature called Treasure Workflow to automate all processes such as reading external data, executing multiple SQL statements in sequence, and linking the final execution results to external products via connectors.

In addition, since it can include error handling at runtime and processing using programming languages ​​as well as SQL, it allows for flexible response to building data pipelines.

Audience Studio
Audience Studio is a function that allows marketers to create target segments (user lists) by operating the GUI without using SQL. Its distinctive features are as follows:

(1) Segment creation and folder management
By selecting conditions for marketing activities from pre-prepared master colombia whatsapp number database segments using company data such as gender and age, or web browsing history, you can create segments (user lists) that can be used for campaigns.

The created segment can be linked to external marketing automation products or advertising platforms through the Activation setting.

In addition, by applying the concept of folders to the created segments, it is possible to limit viewing and use to only specific parties, providing enhanced security that cannot be achieved with MA or advertising platforms.

(2) Creating a funnel
Depending on the customer's loyal user design, it is possible to divide the user stages by, for example, the number of purchases within a period or the purchase amount. The funnel consisting of the created user stages allows you to grasp the number of users in each stage at regular points, and is a powerful function for understanding the progress of the transition to loyal customers.

(3) Predictive Scoring
For example, it is possible for AI (machine learning) to create a model of people who are likely to purchase a product based on data from people who have actually purchased the product. Using this model, a score can be assigned to each user who has not yet purchased the product. It is possible to create a segment of users with a certain score or higher, and then use this segment to appeal to them through MA, advertising, etc. to encourage them to make a purchase.