Targeting with auto segmentation based on behavioral patterns and characteristics
Description
Automated segmentation rules that based on spending patterns and interactions will enable the person to receive a specific treatment, benefit or information, everything automatically and seamless
Examples of benefits:
- Customer experience: Make the person feel unique and appreciated by tailoring the experience, benefit and information based on specific attributes and actions from the person
- Increase member transactions: More relevant benefits and information will drive additional transactions from the member
The design of the loyalty best practice is important to ensure it has the right patterns and rewards to maximize the success. It is especially important to ensure that the targets are not too narrowly defined to render the effort in setting it up irrelevant. Memberson can help you navigate both the business application and technical implementation.
Concept
Configure automated segmentation rules that based on spending patterns, characteristics and interactions will classify a person into a specific segment automatically. These segments are then used to give unique benefit and information.
Execution
- Define the segments [start simple and build more advanced]
- Set up the segments [Tags]
- Configure the segment automation via rules and tag engagements
- Set up content and/or rewards for each segments
- Measure, analyze and optimize
KPI
- Cost of analysis and set up
- Increase in brand relevance => X% increase in NPS
- Increase in transactions => 5% [very much depends on segmentation and rewards]
Detailed Execution in Memberson Loyalty CRM Platform
Please contact Memberson for further discussions
