• Loyalty Program Database Analysis/Analytics

    Loyalogy Loyalty Program Data 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.
    • 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?
    • 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.