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Users can access and change these settings in the Configure menu if the default settings are not weighting scores to the Club’s preferences. Once scores are adjusted, Users will need to select Recalculate. Users can also choose to exclude certain Member Types from this scoring process at the bottom half of the menu. Please reference the Configure MAP Score Settings menu, seen below.
Please Note: All scores are a great base-level indicator of Member engagement. However, staff involvement and Member knowledge is important when interpreting the data. For example, a Member may be out of town for a month which would negatively impact their Dollars Spent and Reservations scores; but is not a definitive reason for for concern if it lowers their 30 or 60 day score.
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This score collects Reservation data from the integrated Reservation products. The number of Reservations (Dining, Tee Times, Courts) is a strong indicator of Member involvement and engagement at the Club. In addition to the above, Events data is also captured in this metric.
Member Check-ins
This score factor takes into account the number of times a Member checks in at the Club.
Please Note: In order for Users to be able to include this score in the total, the Club must have all of the following Clubessential Products: Clubessential Website, Reservations system(s), CRM, and Office product.
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Member types spend differently, therefore Users should look at the Member score against the Member type rather than the Club average. The weighted score is set to 80% by default, so that the majority of the Member score is derived from Member type habits. This setting can be accessed in the Configure MAP Settings menu.
For Example: Shane is a Seasonal Member and he spends winters out of town. His Member spending habits are great while he is in town at the Club, taking part in seasonal offerings, drinks by the pool, and dinners with his family, but no spending happens when he is vacationing. Delia is a full-time Associate Member, lives near the 291pxthe Club, actively plays tennis, attends most special events, and dines at the Club with her family weekly. Delia’s average spending habits would be drastically different than Shanes; but this does not mean that Shane is at any risk of leaving the Club. For this reason, the Member score needs to be weighted more against other members of the same Member type than the Club average. This gives Users the ability to understand Member behavior within a certain Member type, in addition to overall Club behaviors.
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