Maximizing MD VoteBuilder

1. Maximizing MD VoteBuilder Brandon Cloud, MDP Data and Political Director bcloud@mddems.org | 410.269.8818

2. Agenda • Background of VAN • Where does data come from? What data is included? • Cost Structure • Central Committee Usage • Basic Features • Phone Banks, Mailings, Walk Lists, Volunteers • Advanced Features • Scores • Phone Features • MiniVan

3. Glossary of Terms VoteBuilder (VAN) • Software which allows users to manipulate and utilize the State Database of registered voters

4. Background of VAN • Voterfile • List of registered Voters • Includes Voter’s Voting History and Method • Includes Voter’s Contact Information • Includes Voter’s Party

5. DNC Standardization • DNC Standardization • Check Districts, Vote History, Vote Method, Number of Voters and Voter Statuses • Standardize Format of Parties, Vote History, and Precincts • Address Standardization (a key to Matching)

6. DNC Appends Appends • Ethnicity/Religion • Census Data • Geocodes for Walking • Primary and Second Phone Appends • National Change of Address (NCOA) • Address Types • Consumer Enhancements • Deceased File Matching

7. Cost Structure Statewide • $8,600 Congressional/Large County Executive • $4,300 State Senate and At-Large House of Delegates • $2,300 Split House of Delegates District (like 37A/B, 35A/B) • $1,150 County Council • $600-1,150 depending on the size of the county Smaller races (including municipal) are also available and range in price depending on size

8. Cost Structure Cost Includes: • One time fee through entire election cycle • Any training necessary • As many individual user accounts under the Committee as needed • Ongoing support/troubleshooting

9. Central Committee Usage • Maryland Democratic Party provides free access to each County Central Committee • The Chair of the Central Committee is the arbiter of access • Using VAN Central Committees can recruit and track volunteers, track donors, build and retain information about attendees to events, and of course- contact voters

10. Basic Features

11. Basic Features

12. Quick Look Up

13. Quick Look Up

14. Quick Look Up

15. Create A List

16. Create A List

17. Create A List

18. Create A List

19. Cutting Turf

20. Cutting Turf

21. Cutting Turf

22. Cutting Turf

23. Creating Walk/Call Lists

24. Creating Walk/Call Lists

25. Creating Walk/Call Lists

26. Creating Walk/Call Lists

27. Creating Walk/Call Lists

28. Other Tasks with “My List”

29. Other Tasks with “My List”

30. Other Tasks with “My List”

31. Other Tasks with “My List”

32. Other Tasks with “My List”

33. Other Tasks with “My List”

34. Data Entry

35. Data Entry

36. Data Entry

37. Data Entry

38. Data Entry

39. Data Entry

40. Advanced Features

41. Advanced Features

42. Advanced Features

43. Advanced Features

44. Advanced Features

45. Advanced Features

46. Advanced Features

47. Advanced Features

48. Scores

49. Scores • Scores are models created using many different data points • They attempt to take traditional targeting and increase the effectiveness by adding new dimensions • For example not all 0-3’s and 3-3’s are created equal- so the model improves upon that

50. Scores