Changing Things Up Using Predictive Modeling Data 4712

Changing Things Up Using Predictive Modeling Data

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Generally when clients get back the predictive modeling results such as Major Giving Likelihood (MGL) and Target Gift Range (TGR) we will sort the results in descending order which is great.  However, in a discussion the other day we were talking about the fact that this particular client knew a majority of the high TGR donors who were unassigned.  So we thought well why not sort it slightly differently. 

So let's say a major gift for your organization is a $25K pledge over five years.  That would be at least a TGR of 8-12 ($5,001 - $100,001 ).  I also think about that fact that a TGR 7 is $2,501-$5,000 and ultimately we want our constituents to be giving not only within their TGR range but at the top end.  So TGR 7 could ultimately be some of your major gift prospects. 

However for our purposes lets focus on TGR 8-12.  In the attachment you will note that they have a MGL 701 TGR 8 ,  Largest Gift $1K and Last Gift Date 2017 and Prospect Manager Field is blank.  So we are capturing those with high scores, recency of giving at starting at four figures and above.  Then note in the the attachment how I sorted the results with TGR in ascending order followed by MGL descending, confirmed assets in descending order and finally largest gift in descending order.  Finally by having a wide array of output fields allows me to sort by other factors.  This may find those hidden gems you did not know existed.  

Have others tried something like this and if so what did you do?
 

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