ProspectIDDemoAdvanc ement

Information about ProspectIDDemoAdvanc ement

Published on December 17, 2009

Author: aSGuest34354

Source: authorstream.com

Content

Slide 1: advizorsolutions.com Prospect Identification Demo Leveraging Advancement Information for Fundraising rev 6-25-09 Scope of Demo : advizorsolutions.com Advancement Prospect Identification Prospect Management Direct Mktg / Annual Fund Campaign Gift Analysis Member / Alumni Relations Ad hoc Analysis & Reporting Scope of Demo Solutions We Offer Range of Questions 2 Demo Questions Prospect Identification: Who should we target for a dinner in New York to raise money for a new facility? Who is not being seen; who has high potential and is not giving? Who have historically been my best donors? Which of my younger prospects fit that same profile? Who are all the prospects rated with an active rating over $500k, who are not assigned to a gift officer? Etc. Who have historically been my best donors? Which of my younger prospects fit that same profile? Who should we target for a dinner in New York to raise money for a new facility? Predictive Analytics Information Fragmented and Hard To Access . . . : Information Fragmented and Hard To Access . . . . . . Advizor Knits It Together : . . . Advizor Knits It Together Affinity Capacity Activities Demographic . . . Enabling Easy Answers to Key Questions. : . . . Enabling Easy Answers to Key Questions. Q: Who should we target for a dinner in New York to raise money for a new facility? Slide 6: Demo: upcoming dinner in NYC, who should be invited? (Higher Education example) Starting List of 94k Prospects Slide 7: New Training Facility for Football & Lacrosse teams. Money Being Raised for? Slide 8: Click  2,796 Football Players . . . Slide 9: Click Again  226 Also Played Lacrosse Note: Color Set to Rating (red = highly rated; blue = low rated; grey = unrated) Slide 10: . . . “Zoom In” on these 226 . . . Slide 11: . . . Most Live in the Northeast . . . Slide 12: . . . 32 in NY State . . . Slide 13: Click  53 in NY, CT, NJ . . . Slide 14: . . . Click to Remove 2 in Albany . . . Slide 15: . . . Click to Remove 17 Who Aren’t Rated . . . Slide 16: . . . 34 Prime Prospects. Slide 17: Clustered in the ’70’s and ’80’s. Slide 18: Reasonable Giving History. Slide 19: List of the 34. Slide 20: Answer & List in 20 minutes No help needed from IT or Outside Resources Clear Action Plan Found Major Donor!! Summary: Prospect Identification Demo : advizorsolutions.com Prospect Identification Demo 2nd Demo Question:  Who have historically been my best donors? Which of my younger prospects fit that same profile? Predictive Analytics Slide 22: Go to giving history page. Use mouse to select the 237 current “Million $$ Donors” . . . this group has given $958mm, which is 60% of all giving. Now Build Predictive Model : Now Build Predictive Model Target: The 237 Entities who given $1mm+ Compare Against: All Entities; leverage all factors in the Entity Table Add possible “explanatory factors” from other tables: Played a sport? (Sports Table) Greek? (Student Activities Table) MBA? (Degrees Table) JD? (Degrees Table) MD? (Degrees Table) Professional Degree (have either MBA, JD, or MD) Etc. Determine: What makes the target different than everybody else Predict: Who else fits this target group, but who hasn’t yet given $1mm+ Slide 24: Exclude factors that are part of the selection, or clearly not causal. Click  (1) Open Modeling Panel, (2) Set Target, (3) Exclude Factors that are part of the selection or clearly not causal, (4) Click “OK” to build model. Slide 25: advizorsolutions.com Half a dozen factors explain 70% of this group . . . consistent annual fund giving is key . . . but amounts don’t need to be that big (e.g., $800) Slide 26: advizorsolutions.com Click  Score all other ~93k entities . . . Slide 27: advizorsolutions.com 176 additional “Million $$ Donors” predicted . . . right click to export list. Slide 28: advizorsolutions.com Good news is most are already rated and staffed, but only half at the $1mm+ level . . . Slide 29: advizorsolutions.com . . . these new prospects are primarily alumni from the ’80s . . . Slide 30: advizorsolutions.com . . . and they live in NY, Boston, and south Florida. Slide 31: advizorsolutions.com Summary: 20 Minutes to do this analysis No statistics background needed 176 prime prospects identified: Assign the 4 who aren’t currently assigned Up rating on the 50% who are not at the $1mm level Plan an event in NY and possibly Boston and/or South Florida for this group Leverage themes / affinities from the ’80s Slide 32: advizorsolutions.com Who we are . . . ADVIZOR Solutions : advizorsolutions.com ADVIZOR Solutions Bell Labs Spin-off Over 1,000 Customers – mid market & up; variety of industries; higher ed focus Key Strategic Partners: Alterian, Information Builders, Intel, Intellitactics, Microsoft, Salesforce.com, Sungard HE, Teradata Well Regarded by key Industry Analysts: Aberdeen, Forrester, Gartner, TDWI, etc. Next Step: : advizorsolutions.com Next Step: Contact us for a free assessment. Your data, your key questions. [email protected] 630-971-5250 Appendix : Appendix advizorsolutions.com Demo Details : advizorsolutions.com Demo Details Disguised data from 5,500 student university 24 datatables from SunGard Advance system (data scrambled and disguised) Types of questions being answered: Who have historically been my best donors? Which of my younger prospects fit that same profile? Who is not being seen; who has high potential and is not giving? Our football coach is going to NYC, who should he invite to dinner? Who are all the alumni rated with an active rating over $500k who are not assigned to a gift officer? Is there a pattern to who they are? Who are all of the entities who are assigned to an FAS gift officer but who have never made a gift/pledge to FAS? Etc. Problem with status quo before ADVIZOR: Advancement Services bogged down creating custom reports Big backlog and long delays (often weeks) Difficult to cut multi-dimensional data in Excel Current ADVIZOR deployment: ~25 client users in Research, Alumni Relations, Principle Giving, and Management Plus . . . Annual Fund Volunteers and Alumni Club Managers over the web. With Visual Discovery™, every item in every page is selectable. Hence, this dashboard is effectively a very wide “pivot table”

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