LOYALTY PROGRAM ANALYTICS
We take detailed, member-level and transaction level (and check detail if it is available) data exports from your loyalty program and import it into our analytic software. We perform a variety of analytic processes to define customer segments, assess customer performance and identify revenue-generating opportunities. Following are some of the highlights from our in-depth analytic process and it deliverable result:
- Multi-year data approach, beginning with visit frequency segmentation.
- Typically 3-5 frequency-based segments, including key metrics within each segment:
- Average visits within the segment.
- Average spend per visit within the segment.
- Average spend per year within the segment.
- Typically 3-5 frequency-based segments, including key metrics within each segment:
- Examination of year to year activity to understand retention and segment migration.
- In consecutive 12-month periods, how many unique members are active?
- How many have defected?
- How many remained engaged, but at a lower level?
- How many remained engaged, and at the same level?
- How many remained engaged, but at a higher level?
- In consecutive 12-month periods, how many unique members are active?
- Examination of day-part and day of week behavior.
- Week day only.
- Week end only.
- Week day and week end.
- Depending upon your business:
- Breakfast.
- Lunch.
- Dinner.
- Just one or multiple day-part behavior.
- Integrate demographic data to derive member clusters that allow better understanding, targeting and communication.
- Identify specific targeted margeting campaigns, driven by the data, and the measurement methodology to meaure the genuine incremental behavior by using scientifically-sound test versus control analytics.