DIGITAL OFFERS PERSONALIZATION
DIGITAL OFFERS PERSONALIZATION
Embedded Files
PROBLEM
PROBLEM
Only 20% of active mobile app users engaged with digital offers. The existing promotions were too generic and failed to serve as an effective customer incentive mechanism.
The marketing team spent significant time manually analyzing customer segments to identify suitable offer schemes. However, the lack of automation and data analytics tools made it impossible to quickly generate personalized offers based on customer ordering behavior, resulting in lost engagement opportunities and inefficient campaign performance.
SOLUTION
SOLUTION
An integration of a third-party personalization engine with an in-house Customer Data Platform (CDP) to enable automated, data-driven offer generation.
PRODUCT TYPE: mobile app, infrastructure service
TARGET AUDIENCE: internal teams (direct), general consumers (indirect)
TEAM
TEAM
3 outsourced feature teams
Core team size: 19 people
Overall team line-up: project manager, designer, system analysts, back-end developers, mobile developers, QA engineers, DevOps engineers
STACK
STACK
Native mobile application
Microservice architecture
Customer data platform
Third-party personalization engine
Python, Kotlin, Swift
Hadoop
REST APIs
MY CONTRIBUTION
MY CONTRIBUTION
Defined use cases and requirements
Performed interactions with stakeholders
Led the development cycles for 3 teams
Handled prioritization and resource balancing
Performed a vendor selection process
Led integration with the third-party vendor
MY ACHIEVEMENTS
MY ACHIEVEMENTS
Increased effectiveness of offer targeting by 50%
Deepen the capabilities of customer data analysis with user segmentation and triggering mechanics
Decreased the load on a marketing team by automating routine operations and insights exploration
Page updated
Google Sites
Report abuse