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Predictions Footwear Buyers Mailing List

Predictions Footwear Buyers Mailing List are brand-loyal purchasers who frequently consume items from this particular label. These consumers look at purchase locations as well as brand name for quality and affordability. If you're looking to reach an audience of consumers similar to Predictions Footwear Buyers Mailing List then this mailing list is more than fitting.

State
Postal
Email
Phone
Get More Info
Alabama
4,890
676
409
Alaska
30,513
4,216
2,553
Arizona
19,488
2,693
1,631
Arkansas
57,876
7,997
4,843
California
763,331
105,469
63,869
Colorado
59,041
8,158
4,940
Connecticut
50,665
7,000
4,239
Delaware
30,483
4,212
2,551
District of Columbia
10,767
1,488
901
Florida
219,997
30,397
18,407
Georgia
72,038
9,953
6,028
Hawaii
19,920
2,752
1,667
Idaho
25,251
3,489
2,113
Illinois
9,116
1,260
763
Indiana
217,641
30,071
18,210
Iowa
56,423
7,796
4,721
Kansas
23,759
3,283
1,988
Kentucky
37,710
5,210
3,155
Louisiana
38,544
5,326
3,225
Maine
146,416
20,230
12,251
Maryland
125,991
17,408
10,542
Massachusetts
14,536
2,008
1,216
Michigan
97,226
13,434
8,135
Minnesota
51,480
7,113
4,307
Mississippi
60,220
8,321
5,039
Missouri
18,747
2,590
1,569
Montana
7,920
1,094
663
Nebraska
62,484
8,633
5,228
Nevada
6,365
879
533
New Hampshire
18,170
2,511
1,520
New Jersey
13,339
1,843
1,116
New Mexico
183,114
25,301
15,321
New York
15,771
2,179
1,320
North Carolina
29,598
4,090
2,476
North Dakota
814,937
112,599
68,187
Ohio
122,621
16,942
10,260
Oklahoma
27,243
3,764
2,279
Oregon
40,669
5,619
3,403
Pennsylvania
226,180
31,251
18,925
Rhode Island
15,227
2,104
1,274
South Carolina
30,813
4,257
2,578
South Dakota
6,747
932
565
Tennessee
45,616
6,303
3,817
Texas
179,297
24,773
15,002
Utah
16,086
2,223
1,346
Vermont
103,886
14,354
8,692
Virginia
6,890
952
576
Washington
84,980
11,742
7,110
West Virginia
58,278
8,052
4,876
Wisconsin
17,422
2,407
1,458
Wyoming
4,331
598
362

Nationwide Database Counts

Postal Records
4,400,053
Email Records
607,952
Phone Records
368,159

Available Selects:

  • Income
  • Location
  • Gender
  • Age
  • Occupation
  • Home Owner/Renter

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