Marketing for organizations | Blog | Technology | Membership engagement
November 5, 2018|
iMIS is known as an Engagement Management System. With the tools supplied in iMIS 2017 (20.2.64 or higher) you’ve got it all at your fingertips. Because most of enSYNC’s clients are on iMIS, we thought we’d review the ease with which you can develop an engagement scoring system there, but the concepts will be useful regardless of your AMS.
Built in to any good AMS platform should be the ability to track activities between the member and your organization. In iMIS these are easily tracked in one or more of the modules.
You likely can think of your own set of activities that go in to making an engaged member. And this, in fact, should be your first step in an engagement scoring project. (As a corollary, should you be tracking information in a third party software that is not in iMIS, you should consider developing a method for bringing that information in via API so that it becomes available for engagement measurement.)
The next step is refining your scoring system -- weighting the relative value of these activities by giving it a unique multiplier. For example, an in-person event may be more worthwhile to you (either because it affords better participation among members or because of its revenue value) than a webinar registration. Therefore, you might give annual conference registration 10 points and a webinar 1 point.
Grouping engagement scores
Grouping engagement scores by percentile or total score is next, allowing you to define related categories. Percentile really makes more sense as a way of evaluating engagement because you can compare people in your organization to each other. For example, you might define these categories and assign them as score as follows:
Organizations, as well as individuals, can be scored. In this case, all members associated with a particular company are rolled up into a total company score.
We talk about “engagement scoring”, but really with a scoring methodology you would be able to score other kinds of programs.
For example, you could extend the use of a scoring module to:
Because once you have this score, you have the ability to make data driven decisions. Or consider better segmenting members for marketing efforts, simply by creating queries that define groups – “all members in the contributor group,” “all members with a score between 40 and 60,” “all members with a low education participation score.”
To our iMIS clients, we ask – wouldn’t this be an absolute excellent way of managing better data decisions. It’s within your reach if you have iMIS 2017 or higher!
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