theharrispoll.com · 2020. 12. 9. · 1867 920 947 563 319 308 306 371 279 164 162 147 168 284 155...

135
Page 1 Fielding Period: October 22 - 26, 2020 Harris Poll Weighted To The U.S. General Adult Population - Propensity 27 Oct 2020 Table 1 Q1 How often do you use products or services from each of the following types of technology companies? Summary Of Ever Use Base: All Respondents Gender Age Male Age Female Age Region North- Mid- Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V) 2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409 Unweighted Base 2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479 Weighted Base 1867 920 947 563 319 308 306 371 279 164 162 147 168 284 155 146 159 203 325 716 387 441 90% 93% 88% 93% 93% 90% 91% 85% 93% 96% 96% 95% 86% 92% 89% 84% 88% 84% 89% 91% 89% 92% C H H h H M MO MP Mq PR Search engine (e.g., Google, Bing, DuckDuckGo) 1762 856 906 548 310 287 279 338 278 157 141 126 153 270 152 145 153 185 322 673 346 421 85% 86% 84% 90% 90% 84% 83% 77% 92% 92% 84% 82% 78% 88% 87% 84% 85% 77% 88% 85% 79% 88% FGH fgH h h KLM kLM R R r U U U Multi-brand e-commerce (e.g., Amazon, AliExpress, Overstock) 1752 815 937 576 321 298 268 288 282 158 145 113 117 294 163 153 155 172 308 686 343 415 85% 82% 87% 95% 93% 87% 80% 66% 93% 93% 86% 74% 59% 96% 93% 88% 86% 71% 85% 87% 79% 87% B FGH FGH gH H kLM LM LM M PQR qR R RL M u U U Social media (e.g., Facebook, Instagram, Twitter) 1572 786 786 558 308 273 228 205 277 152 146 104 107 282 156 127 124 98 270 624 290 388 76% 79% 73% 92% 89% 80% 68% 47% 92% 89% 87% 68% 54% 92% 89% 73% 68% 40% 74% 79% 66% 81% C FGH FGH GH H LM LM LMP M R PQR PQR R R U U sU Video streaming service (e.g., Netflix, Disney+, Hulu) 1490 749 741 538 309 238 223 182 268 161 126 106 89 270 148 112 118 93 246 594 278 372 72% 76% 69% 88% 90% 70% 67% 42% 89% 94% 75% 69% 45% 88% 85% 65% 65% 38% 68% 75% 64% 78% C FGH FGH H H KLM KLMO M M PQR PQR R R SU SU Fintech service (e.g., PayPal, Venmo, Cash App) 1331 671 660 544 289 218 158 122 265 150 119 74 62 279 139 99 83 60 228 541 241 322 64% 68% 61% 89% 84% 64% 47% 28% 88% 88% 71% 48% 32% 91% 80% 57% 46% 25% 63% 68% 55% 67% C eFGH FGH GH H KLM KLMo LMp M OPQR PQR qR R u U U Audio streaming service (e.g., Apple Music, Spotify, Pandora) 1087 585 502 483 243 181 106 73 252 139 98 55 41 231 104 83 51 32 192 419 194 282 53% 59% 47% 79% 71% 53% 32% 17% 83% 82% 58% 36% 21% 75% 60% 48% 28% 13% 53% 53% 45% 59% C EFGH FGH GH H KLMn KLMO LM M r OPQR pQR QR R u U U Food delivery service (e.g., Seamless, DoorDash, Postmates) 924 524 399 423 219 140 90 52 228 131 93 49 23 195 88 47 41 28 179 346 147 251 45% 53% 37% 69% 64% 41% 27% 12% 76% 77% 55% 32% 12% 63% 50% 27% 23% 12% 49% 44% 34% 52% C FGH FGH GH H KLMN KLMO LMP M OPQR PQR R R U U TU Transportation (e.g., Uber, Lyft, Via) ________________________________________________________________________________________________________________________________________ Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/V Overlap formulae used. * small base

Upload: others

Post on 26-Jan-2021

1 views

Category:

Documents


0 download

TRANSCRIPT

  • Page 1Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 1Q1 How often do you use products or services from each of the following types of technology companies?

    Summary Of Ever Use

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    1867 920 947 563 319 308 306 371 279 164 162 147 168 284 155 146 159 203 325 716 387 44190% 93% 88% 93% 93% 90% 91% 85% 93% 96% 96% 95% 86% 92% 89% 84% 88% 84% 89% 91% 89% 92%

    C H H h H M MO MP Mq PR

    Search engine (e.g.,Google, Bing,DuckDuckGo)

    1762 856 906 548 310 287 279 338 278 157 141 126 153 270 152 145 153 185 322 673 346 42185% 86% 84% 90% 90% 84% 83% 77% 92% 92% 84% 82% 78% 88% 87% 84% 85% 77% 88% 85% 79% 88%

    FGH fgH h h KLM kLM R R r U U U

    Multi-brand e-commerce(e.g., Amazon, AliExpress,Overstock)

    1752 815 937 576 321 298 268 288 282 158 145 113 117 294 163 153 155 172 308 686 343 41585% 82% 87% 95% 93% 87% 80% 66% 93% 93% 86% 74% 59% 96% 93% 88% 86% 71% 85% 87% 79% 87%

    B FGH FGH gH H kLM LM LM M PQR qR R RL M u U U

    Social media (e.g.,Facebook, Instagram,Twitter)

    1572 786 786 558 308 273 228 205 277 152 146 104 107 282 156 127 124 98 270 624 290 38876% 79% 73% 92% 89% 80% 68% 47% 92% 89% 87% 68% 54% 92% 89% 73% 68% 40% 74% 79% 66% 81%

    C FGH FGH GH H LM LM LMP M R PQR PQR R R U U sU

    Video streaming service(e.g., Netflix, Disney+,Hulu)

    1490 749 741 538 309 238 223 182 268 161 126 106 89 270 148 112 118 93 246 594 278 37272% 76% 69% 88% 90% 70% 67% 42% 89% 94% 75% 69% 45% 88% 85% 65% 65% 38% 68% 75% 64% 78%

    C FGH FGH H H KLM KLMO M M PQR PQR R R SU SU

    Fintech service (e.g.,PayPal, Venmo, CashApp)

    1331 671 660 544 289 218 158 122 265 150 119 74 62 279 139 99 83 60 228 541 241 32264% 68% 61% 89% 84% 64% 47% 28% 88% 88% 71% 48% 32% 91% 80% 57% 46% 25% 63% 68% 55% 67%

    C eFGH FGH GH H KLM KLMo LMp M OPQR PQR qR R u U U

    Audio streaming service(e.g., Apple Music,Spotify, Pandora)

    1087 585 502 483 243 181 106 73 252 139 98 55 41 231 104 83 51 32 192 419 194 28253% 59% 47% 79% 71% 53% 32% 17% 83% 82% 58% 36% 21% 75% 60% 48% 28% 13% 53% 53% 45% 59%

    C EFGH FGH GH H KLMn KLMO LM M r OPQR pQR QR R u U U

    Food delivery service (e.g.,Seamless, DoorDash,Postmates)

    924 524 399 423 219 140 90 52 228 131 93 49 23 195 88 47 41 28 179 346 147 25145% 53% 37% 69% 64% 41% 27% 12% 76% 77% 55% 32% 12% 63% 50% 27% 23% 12% 49% 44% 34% 52%

    C FGH FGH GH H KLMN KLMO LMP M OPQR PQR R R U U TU

    Transportation (e.g., Uber,Lyft, Via)

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 2Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 2Q1 How often do you use products or services from each of the following types of technology companies?

    Summary Of Ever Use

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    1867 546 318 246 674 579 612 677 1026 842 736 1131 639 1229 1316 481 910 958 282 206 114690% 86% 94% 94% 94% 83% 91% 97% 93% 87% 92% 89% 94% 88% 92% 88% 92% 88% 89% 87% 91%

    B B B F FG J l N p R t

    Search engine (e.g.,Google, Bing,DuckDuckGo)

    1762 492 285 240 670 527 580 655 1012 750 742 1019 636 1126 1263 431 887 874 282 198 105085% 78% 84% 92% 94% 76% 86% 93% 92% 78% 93% 80% 94% 81% 88% 79% 90% 81% 89% 83% 84%

    B BC BC F FG J L N P R u

    Multi-brand e-commerce(e.g., Amazon, AliExpress,Overstock)

    1752 518 295 230 626 572 581 600 1003 750 762 990 655 1097 1223 453 829 924 292 201 102785% 82% 87% 88% 87% 82% 86% 86% 91% 78% 95% 78% 97% 79% 85% 83% 84% 85% 92% 85% 82%

    b b B J L N tU

    Social media (e.g.,Facebook, Instagram,Twitter)

    1572 423 254 221 620 494 495 582 956 616 743 829 639 933 1103 410 775 797 291 187 89576% 67% 75% 84% 87% 71% 73% 83% 87% 64% 93% 65% 94% 67% 77% 75% 79% 73% 92% 79% 71%

    B BC BC FG J L N R TU u

    Video streaming service(e.g., Netflix, Disney+,Hulu)

    1490 406 234 203 597 467 478 544 917 572 705 785 602 887 1028 402 714 775 270 191 82972% 64% 69% 77% 83% 67% 71% 78% 83% 59% 88% 62% 89% 64% 72% 74% 73% 71% 85% 81% 66%

    Bc BC FG J L N U U

    Fintech service (e.g.,PayPal, Venmo, CashApp)

    1331 365 212 191 512 416 428 487 855 476 676 655 582 749 912 360 618 713 260 167 72164% 58% 63% 73% 72% 60% 64% 69% 78% 49% 84% 52% 86% 54% 64% 66% 63% 66% 82% 70% 58%

    BC BC Fg J L N TU U

    Audio streaming service(e.g., Apple Music,Spotify, Pandora)

    1087 276 169 145 463 342 310 435 754 333 595 492 516 571 720 315 484 603 223 151 54853% 44% 50% 55% 65% 49% 46% 62% 68% 34% 74% 39% 76% 41% 50% 58% 49% 56% 71% 63% 44%

    B BCD FG J L N O Q U U

    Food delivery service (e.g.,Seamless, DoorDash,Postmates)

    924 232 132 118 416 283 263 378 650 274 512 412 437 487 616 264 414 509 198 118 46745% 37% 39% 45% 58% 41% 39% 54% 59% 28% 64% 32% 65% 35% 43% 49% 42% 47% 63% 50% 37%

    b BCD FG J L N o q TU U

    Transportation (e.g., Uber,Lyft, Via)

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 3Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 3Q1 How often do you use products or services from each of the following types of technology companies?

    Summary Of Use At Least Once A Week

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    1687 827 860 482 301 284 280 340 236 154 147 133 158 246 147 137 147 182 291 649 351 39682% 83% 80% 79% 87% 83% 83% 78% 78% 90% 87% 87% 80% 80% 84% 79% 81% 75% 80% 82% 80% 83%

    c DH IM i r

    Search engine (e.g.,Google, Bing,DuckDuckGo)

    1534 717 818 509 292 258 223 252 245 142 129 101 100 264 151 128 122 152 264 588 317 36674% 72% 76% 84% 85% 75% 67% 58% 81% 83% 77% 66% 51% 86% 87% 74% 67% 63% 73% 74% 73% 76%

    FGH FGH gH H LM LM M M PQR PQR r M

    Social media (e.g.,Facebook, Instagram,Twitter)

    1325 649 676 476 282 222 184 160 221 139 120 85 83 255 143 102 99 77 219 536 246 32464% 66% 63% 78% 82% 65% 55% 37% 73% 82% 72% 55% 42% 83% 82% 59% 55% 32% 60% 68% 56% 68%

    FGH FGH GH H LM LM LMp m r PQRI PQR R R SU sU

    Video streaming service(e.g., Netflix, Disney+,Hulu)

    1044 561 483 446 251 161 119 67 221 136 95 64 45 225 115 66 56 22 182 414 193 25550% 57% 45% 73% 73% 47% 36% 15% 73% 80% 57% 41% 23% 73% 66% 38% 31% 9% 50% 52% 44% 53%

    C FGH FGH GH H KLM KLMO lMP M R PQR PQR R R U U

    Audio streaming service(e.g., Apple Music,Spotify, Pandora)

    915 479 436 345 204 146 122 98 178 118 78 59 47 168 85 68 63 51 178 344 182 21144% 48% 40% 57% 59% 43% 36% 22% 59% 69% 46% 38% 24% 55% 49% 39% 35% 21% 49% 43% 42% 44%

    C FGH FGH H H kLM iKLMO M M PQR QR R R u

    Multi-brand e-commerce(e.g., Amazon, AliExpress,Overstock)

    831 456 375 380 218 118 71 44 202 125 72 35 22 178 93 46 36 22 148 340 142 20140% 46% 35% 62% 63% 34% 21% 10% 67% 74% 43% 22% 11% 58% 53% 26% 20% 9% 41% 43% 33% 42%

    C FGH FGH GH H KLMn KLMO LMP M PQR PQR R R U U U

    Fintech service (e.g.,PayPal, Venmo, CashApp)

    604 372 232 297 163 88 46 9 171 110 60 25 6 126 53 28 21 3 119 223 101 16129% 38% 21% 49% 47% 26% 14% 2% 57% 65% 36% 16% 3% 41% 30% 16% 12% 1% 33% 28% 23% 34%

    C FGH FGH GH H KLMN KLMO LMP M oPQR PQR R R U U

    Food delivery service (e.g.,Seamless, DoorDash,Postmates)

    434 288 145 221 120 64 21 9 132 84 53 14 5 88 36 11 7 3 92 159 60 12321% 29% 13% 36% 35% 19% 6% 2% 44% 49% 31% 9% 3% 29% 21% 6% 4% 1% 25% 20% 14% 26%

    C FGH FGH GH H kLMN KLMO LMP M PQR PQR R U U tU

    Transportation (e.g., Uber,Lyft, Via)

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 4Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 4Q1 How often do you use products or services from each of the following types of technology companies?

    Summary Of Use At Least Once A Week

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    1687 487 282 223 617 499 560 628 931 756 650 1036 563 1124 1194 429 844 843 247 185 105182% 77% 84% 85% 86% 72% 83% 90% 84% 78% 81% 82% 83% 81% 83% 79% 86% 78% 78% 78% 84%

    B B B F FG J p R t

    Search engine (e.g.,Google, Bing,DuckDuckGo)

    1534 464 252 189 565 507 489 539 880 654 677 858 578 956 1063 411 731 803 247 166 92574% 73% 75% 72% 79% 73% 73% 77% 80% 68% 85% 68% 85% 69% 74% 76% 74% 74% 78% 70% 74%

    bd J L N

    Social media (e.g.,Facebook, Instagram,Twitter)

    1325 353 216 193 520 423 422 480 800 525 646 679 566 759 916 361 672 653 254 152 76464% 56% 64% 74% 73% 61% 63% 68% 73% 54% 81% 54% 84% 55% 64% 66% 68% 60% 80% 64% 61%

    B BC BC Fg J L N R TU

    Video streaming service(e.g., Netflix, Disney+,Hulu)

    1044 273 169 143 425 314 335 396 707 338 569 475 491 554 706 289 484 561 202 132 55650% 43% 50% 54% 59% 45% 50% 56% 64% 35% 71% 37% 73% 40% 49% 53% 49% 52% 64% 56% 44%

    b B BC FG J L N U U

    Audio streaming service(e.g., Apple Music,Spotify, Pandora)

    915 213 122 120 437 247 281 387 618 297 480 435 412 503 680 200 488 428 160 96 54844% 34% 36% 46% 61% 36% 42% 55% 56% 31% 60% 34% 61% 36% 47% 37% 50% 39% 50% 40% 44%

    Bc BCD f FG J L N P R

    Multi-brand e-commerce(e.g., Amazon, AliExpress,Overstock)

    831 216 113 115 364 262 258 312 560 271 495 336 426 405 572 216 373 459 174 116 41840% 34% 34% 44% 51% 38% 38% 44% 51% 28% 62% 26% 63% 29% 40% 40% 38% 42% 55% 49% 33%

    BC BC Fg J L N U U

    Fintech service (e.g.,PayPal, Venmo, CashApp)

    604 139 74 78 299 186 148 270 475 129 386 218 346 258 433 139 281 322 135 92 28729% 22% 22% 30% 42% 27% 22% 38% 43% 13% 48% 17% 51% 19% 30% 26% 29% 30% 43% 39% 23%

    Bc BCD FG J L N U U

    Food delivery service (e.g.,Seamless, DoorDash,Postmates)

    434 106 47 59 219 150 86 197 333 100 297 137 261 173 317 94 200 234 106 63 19321% 17% 14% 23% 31% 22% 13% 28% 30% 10% 37% 11% 39% 12% 22% 17% 20% 22% 33% 27% 15%

    C BCd G FG J L N p U U

    Transportation (e.g., Uber,Lyft, Via)

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 5Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 5Q1 How often do you use products or services from each of the following types of technology companies?

    Summary Of Use At Least Once A Day

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    1279 643 636 346 243 247 202 241 176 126 127 95 118 170 117 119 107 123 213 496 263 30762% 65% 59% 57% 70% 72% 60% 55% 58% 74% 76% 62% 60% 55% 67% 69% 59% 51% 58% 63% 60% 64%

    C DGH DGH IlM IlM r nR NR

    Search engine (e.g.,Google, Bing,DuckDuckGo)

    1208 565 643 382 238 214 178 195 187 113 105 79 81 195 125 109 99 115 214 453 241 30058% 57% 60% 63% 69% 63% 53% 45% 62% 66% 62% 52% 41% 64% 71% 63% 55% 47% 59% 57% 55% 63%

    GH GH gH h M LM M R QR R u

    Social media (e.g.,Facebook, Instagram,Twitter)

    805 389 415 311 189 148 91 65 136 102 80 41 30 176 87 68 50 35 125 327 155 19739% 39% 38% 51% 55% 43% 27% 15% 45% 60% 48% 27% 15% 57% 50% 39% 28% 14% 34% 41% 36% 41%

    fGH FGH GH H LM IkLM LM M PQRI QR qR R s

    Video streaming service(e.g., Netflix, Disney+,Hulu)

    600 325 275 266 157 109 46 22 133 85 64 30 14 133 72 45 16 9 116 229 104 15129% 33% 25% 44% 46% 32% 14% 5% 44% 50% 38% 20% 7% 43% 41% 26% 9% 4% 32% 29% 24% 32%

    C FGH FGH GH H LM kLM LMp MQ PQR PQR QR r U u

    Audio streaming service(e.g., Apple Music,Spotify, Pandora)

    333 186 147 137 90 62 31 13 71 49 45 11 10 66 42 17 20 3 56 130 58 8916% 19% 14% 23% 26% 18% 9% 3% 24% 29% 27% 7% 5% 22% 24% 10% 11% 1% 15% 16% 13% 19%

    C GH FGH GH H LM LM LMP r PQR PQR R R

    Multi-brand e-commerce(e.g., Amazon, AliExpress,Overstock)

    306 180 127 148 97 49 10 3 79 53 40 6 3 69 44 10 4 * 54 121 58 7315% 18% 12% 24% 28% 14% 3% 1% 26% 31% 23% 4% 1% 22% 25% 6% 2% * 15% 15% 13% 15%

    C FGH FGH GH h LM LM LMP PQR PQR R

    Fintech service (e.g.,PayPal, Venmo, CashApp)

    199 133 67 116 47 24 10 3 70 31 20 8 3 46 16 3 2 - 47 57 23 7310% 13% 6% 19% 14% 7% 3% 1% 23% 18% 12% 6% 1% 15% 9% 2% 1% - 13% 7% 5% 15%

    C eFGH FGH gH H KLMN LMO MP mq PQR PQR r TU TU

    Transportation (e.g., Uber,Lyft, Via)

    193 109 85 104 58 26 5 1 54 36 16 1 1 49 21 10 4 - 39 72 24 599% 11% 8% 17% 17% 8% 1% * 18% 21% 9% 1% 1% 16% 12% 6% 2% - 11% 9% 5% 12%

    c FGH FGH GH kLM KLMo LM PQR pQR R r U u U

    Food delivery service (e.g.,Seamless, DoorDash,Postmates)________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 6Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 6Q1 How often do you use products or services from each of the following types of technology companies?

    Summary Of Use At Least Once A Day

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    1279 351 204 169 501 369 413 497 730 549 499 779 433 846 899 329 656 623 191 144 80962% 56% 61% 64% 70% 53% 61% 71% 66% 57% 62% 61% 64% 61% 63% 60% 67% 57% 60% 61% 65%

    B BC F FG J R

    Search engine (e.g.,Google, Bing,DuckDuckGo)

    1208 364 203 148 443 385 387 436 712 496 530 678 465 743 828 337 614 594 189 123 75158% 58% 60% 57% 62% 56% 57% 62% 65% 51% 66% 53% 69% 53% 58% 62% 62% 55% 60% 52% 60%

    F J L N R t

    Social media (e.g.,Facebook, Instagram,Twitter)

    805 218 140 119 305 267 255 283 505 300 425 379 389 415 530 242 405 400 160 97 46039% 34% 41% 45% 43% 38% 38% 40% 46% 31% 53% 30% 58% 30% 37% 45% 41% 37% 50% 41% 37%

    b B B J L N O U

    Video streaming service(e.g., Netflix, Disney+,Hulu)

    600 148 102 73 263 173 177 250 442 158 340 260 320 280 412 168 287 312 126 96 31629% 23% 30% 28% 37% 25% 26% 36% 40% 16% 43% 20% 47% 20% 29% 31% 29% 29% 40% 40% 25%

    B Bd FG J L N U U

    Audio streaming service(e.g., Apple Music,Spotify, Pandora)

    333 72 37 41 178 89 88 156 247 87 195 139 179 154 255 68 185 148 61 46 18316% 11% 11% 16% 25% 13% 13% 22% 22% 9% 24% 11% 27% 11% 18% 13% 19% 14% 19% 20% 15%

    BCD FG J L N P R

    Multi-brand e-commerce(e.g., Amazon, AliExpress,Overstock)

    306 90 32 35 146 107 67 132 225 81 206 101 195 111 193 92 141 165 53 59 13915% 14% 9% 13% 20% 15% 10% 19% 20% 8% 26% 8% 29% 8% 13% 17% 14% 15% 17% 25% 11%

    c BCd G G J L N u U

    Fintech service (e.g.,PayPal, Venmo, CashApp)

    199 46 17 24 110 81 39 80 155 44 145 55 122 77 157 31 78 121 44 32 8310% 7% 5% 9% 15% 12% 6% 11% 14% 5% 18% 4% 18% 6% 11% 6% 8% 11% 14% 13% 7%

    BCd G G J L N P Q U U

    Transportation (e.g., Uber,Lyft, Via)

    193 41 17 29 103 61 39 93 157 37 132 61 117 77 149 31 85 108 43 38 729% 7% 5% 11% 14% 9% 6% 13% 14% 4% 17% 5% 17% 5% 10% 6% 9% 10% 13% 16% 6%

    bC BC FG J L N P U U

    Food delivery service (e.g.,Seamless, DoorDash,Postmates)______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 7Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 7Q1_1 How often do you use products or services from each of the following types of technology companies?

    Search engine (e.g., Google, Bing, DuckDuckGo)

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    1867 920 947 563 319 308 306 371 279 164 162 147 168 284 155 146 159 203 325 716 387 44190% 93% 88% 93% 93% 90% 91% 85% 93% 96% 96% 95% 86% 92% 89% 84% 88% 84% 89% 91% 89% 92%

    C H H h H M MO MP Mq PR

    Ever (Net)

    1687 827 860 482 301 284 280 340 236 154 147 133 158 246 147 137 147 182 291 649 351 39682% 83% 80% 79% 87% 83% 83% 78% 78% 90% 87% 87% 80% 80% 84% 79% 81% 75% 80% 82% 80% 83%

    c DH IM i r

    At Least Once A Week (Sub-Net)

    1279 643 636 346 243 247 202 241 176 126 127 95 118 170 117 119 107 123 213 496 263 30762% 65% 59% 57% 70% 72% 60% 55% 58% 74% 76% 62% 60% 55% 67% 69% 59% 51% 58% 63% 60% 64%

    C DGH DGH IlM IlM r nR NR

    At Least Once A Day (Sub-Sub-Net)

    1035 525 509 264 205 207 168 192 135 104 106 85 96 129 101 101 83 96 164 424 202 24550% 53% 47% 43% 59% 60% 50% 44% 45% 61% 63% 55% 49% 42% 58% 58% 46% 40% 45% 54% 46% 51%

    C DgH DGH Im IM NqR NqR SU

    Several times a day

    244 117 126 82 38 40 34 49 41 23 21 10 22 42 16 19 24 26 48 72 61 6312% 12% 12% 14% 11% 12% 10% 11% 13% 13% 13% 7% 11% 14% 9% 11% 13% 11% 13% 9% 14% 13%

    t T

    Once a day

    269 121 148 76 28 34 51 80 33 14 19 23 32 43 14 15 28 48 47 102 57 6313% 12% 14% 12% 8% 10% 15% 18% 11% 8% 11% 15% 17% 14% 8% 9% 15% 20% 13% 13% 13% 13%

    E DEF J o OP

    Several times a week

    139 63 76 60 30 3 26 19 27 14 * 14 7 33 16 3 12 12 31 51 31 267% 6% 7% 10% 9% 1% 8% 4% 9% 8% * 9% 4% 11% 9% 2% 7% 5% 9% 6% 7% 6%

    FH FH F F Km K Km k PR P p

    Once a week

    116 63 53 59 16 13 17 12 33 9 10 8 3 25 7 3 9 8 18 46 22 316% 6% 5% 10% 5% 4% 5% 3% 11% 5% 6% 5% 2% 8% 4% 2% 5% 3% 5% 6% 5% 6%

    EFgH jM Pr

    Several times a month

    64 30 34 23 3 11 9 19 11 2 5 6 7 12 1 6 3 12 16 21 14 133% 3% 3% 4% 1% 3% 3% 4% 3% 1% 3% 4% 3% 4% 1% 3% 2% 5% 4% 3% 3% 3%

    E e E o O

    Once a month or less often

    202 70 131 46 25 34 29 68 22 6 7 7 28 23 19 27 22 39 39 75 50 3810% 7% 12% 7% 7% 10% 9% 15% 7% 4% 4% 5% 14% 8% 11% 16% 12% 16% 11% 9% 11% 8%

    B DEfG IJKL J NK l N

    I do not use products orservices from this type oftechnology company

    2069 991 1078 609 345 342 335 439 302 170 168 154 197 307 174 173 181 242 364 790 436 479100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 8Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 8Q1_1 How often do you use products or services from each of the following types of technology companies?

    Search engine (e.g., Google, Bing, DuckDuckGo)

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    1867 546 318 246 674 579 612 677 1026 842 736 1131 639 1229 1316 481 910 958 282 206 114690% 86% 94% 94% 94% 83% 91% 97% 93% 87% 92% 89% 94% 88% 92% 88% 92% 88% 89% 87% 91%

    B B B F FG J l N p R t

    Ever (Net)

    1687 487 282 223 617 499 560 628 931 756 650 1036 563 1124 1194 429 844 843 247 185 105182% 77% 84% 85% 86% 72% 83% 90% 84% 78% 81% 82% 83% 81% 83% 79% 86% 78% 78% 78% 84%

    B B B F FG J p R t

    At Least Once A Week (Sub-Net)

    1279 351 204 169 501 369 413 497 730 549 499 779 433 846 899 329 656 623 191 144 80962% 56% 61% 64% 70% 53% 61% 71% 66% 57% 62% 61% 64% 61% 63% 60% 67% 57% 60% 61% 65%

    B BC F FG J R

    At Least Once A Day (Sub-Sub-Net)

    1035 283 168 137 408 290 348 396 593 442 392 642 339 696 715 278 526 509 164 114 65050% 45% 50% 52% 57% 42% 52% 57% 54% 46% 49% 51% 50% 50% 50% 51% 53% 47% 52% 48% 52%

    b Bc F F J R

    Several times a day

    244 68 36 32 93 79 64 100 136 107 107 137 94 150 185 51 130 114 27 29 15912% 11% 11% 12% 13% 11% 10% 14% 12% 11% 13% 11% 14% 11% 13% 9% 13% 11% 8% 12% 13%

    G p

    Once a day

    269 94 55 30 70 77 112 80 119 150 93 176 75 194 191 69 132 138 36 30 16513% 15% 16% 12% 10% 11% 17% 11% 11% 16% 12% 14% 11% 14% 13% 13% 13% 13% 11% 13% 13%

    E E FH I

    Several times a week

    139 42 23 24 46 53 35 51 83 57 58 81 55 85 104 31 57 82 21 11 777% 7% 7% 9% 6% 8% 5% 7% 7% 6% 7% 6% 8% 6% 7% 6% 6% 8% 7% 5% 6%

    Once a week

    116 36 27 13 37 53 34 30 63 54 57 60 52 65 75 35 36 80 26 12 566% 6% 8% 5% 5% 8% 5% 4% 6% 6% 7% 5% 8% 5% 5% 6% 4% 7% 8% 5% 5%

    H l N Q u

    Several times a month

    64 24 9 10 20 28 18 19 32 32 29 35 24 40 46 17 29 35 9 9 383% 4% 3% 4% 3% 4% 3% 3% 3% 3% 4% 3% 4% 3% 3% 3% 3% 3% 3% 4% 3%

    Once a month or less often

    202 85 19 16 42 115 62 24 77 125 63 138 38 163 116 63 75 127 34 31 10710% 14% 6% 6% 6% 17% 9% 3% 7% 13% 8% 11% 6% 12% 8% 12% 8% 12% 11% 13% 9%

    CDE GH H I k M o Q u

    I do not use products orservices from this type oftechnology company

    2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 9Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 9Q1_2 How often do you use products or services from each of the following types of technology companies?

    Social media (e.g., Facebook, Instagram, Twitter)

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    1752 815 937 576 321 298 268 288 282 158 145 113 117 294 163 153 155 172 308 686 343 41585% 82% 87% 95% 93% 87% 80% 66% 93% 93% 86% 74% 59% 96% 93% 88% 86% 71% 85% 87% 79% 87%

    B FGH FGH gH H kLM LM LM M PQR qR R RL M u U U

    Ever (Net)

    1534 717 818 509 292 258 223 252 245 142 129 101 100 264 151 128 122 152 264 588 317 36674% 72% 76% 84% 85% 75% 67% 58% 81% 83% 77% 66% 51% 86% 87% 74% 67% 63% 73% 74% 73% 76%

    FGH FGH gH H LM LM M M PQR PQR r M

    At Least Once A Week (Sub-Net)

    1208 565 643 382 238 214 178 195 187 113 105 79 81 195 125 109 99 115 214 453 241 30058% 57% 60% 63% 69% 63% 53% 45% 62% 66% 62% 52% 41% 64% 71% 63% 55% 47% 59% 57% 55% 63%

    GH GH gH h M LM M R QR R u

    At Least Once A Day (Sub-Sub-Net)

    904 423 481 303 175 166 130 131 141 82 80 58 63 161 93 86 72 68 156 332 185 23144% 43% 45% 50% 51% 48% 39% 30% 47% 48% 47% 37% 32% 53% 54% 50% 40% 28% 43% 42% 42% 48%

    GH GH gH H M M M QR QR R R

    Several times a day

    304 142 162 79 63 49 49 64 46 31 25 22 18 34 31 23 27 46 59 121 55 6915% 14% 15% 13% 18% 14% 15% 15% 15% 18% 15% 14% 9% 11% 18% 13% 15% 19% 16% 15% 13% 14%

    d M n NM

    Once a day

    217 91 126 81 35 26 28 46 32 19 13 10 16 49 16 14 18 29 32 87 48 4910% 9% 12% 13% 10% 8% 8% 10% 11% 11% 8% 6% 8% 16% 9% 8% 10% 12% 9% 11% 11% 10%

    Fg p

    Several times a week

    109 61 48 45 19 17 16 11 25 9 12 12 3 20 10 5 4 8 17 47 28 165% 6% 4% 7% 6% 5% 5% 3% 8% 5% 7% 8% 1% 7% 6% 3% 2% 3% 5% 6% 6% 3%

    H h M m M Mq

    Once a week

    89 36 52 31 16 14 18 10 15 8 3 2 8 15 8 11 16 2 14 46 8 214% 4% 5% 5% 5% 4% 5% 2% 5% 5% 2% 1% 4% 5% 4% 6% 9% 1% 4% 6% 2% 4%

    h h r R r R RL U u

    Several times a month

    129 62 67 37 12 27 27 26 22 8 13 10 9 14 4 14 17 17 30 53 18 286% 6% 6% 6% 4% 8% 8% 6% 7% 5% 8% 6% 5% 5% 2% 8% 10% 7% 8% 7% 4% 6%

    e e o nO o U

    Once a month or less often

    317 175 141 33 24 43 67 150 20 12 23 41 80 13 11 20 26 70 55 104 93 6415% 18% 13% 5% 7% 13% 20% 34% 7% 7% 14% 26% 41% 4% 7% 12% 14% 29% 15% 13% 21% 13%

    C DE DEf DEFG i IJKQ IJKLR N No NOPQ sTV

    I do not use products orservices from this type oftechnology company

    2069 991 1078 609 345 342 335 439 302 170 168 154 197 307 174 173 181 242 364 790 436 479100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 10Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 10Q1_2 How often do you use products or services from each of the following types of technology companies?

    Social media (e.g., Facebook, Instagram, Twitter)

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    1752 518 295 230 626 572 581 600 1003 750 762 990 655 1097 1223 453 829 924 292 201 102785% 82% 87% 88% 87% 82% 86% 86% 91% 78% 95% 78% 97% 79% 85% 83% 84% 85% 92% 85% 82%

    b b B J L N tU

    Ever (Net)

    1534 464 252 189 565 507 489 539 880 654 677 858 578 956 1063 411 731 803 247 166 92574% 73% 75% 72% 79% 73% 73% 77% 80% 68% 85% 68% 85% 69% 74% 76% 74% 74% 78% 70% 74%

    bd J L N

    At Least Once A Week (Sub-Net)

    1208 364 203 148 443 385 387 436 712 496 530 678 465 743 828 337 614 594 189 123 75158% 58% 60% 57% 62% 56% 57% 62% 65% 51% 66% 53% 69% 53% 58% 62% 62% 55% 60% 52% 60%

    F J L N R t

    At Least Once A Day (Sub-Sub-Net)

    904 272 147 113 338 285 292 328 547 357 408 497 351 553 609 258 462 443 137 99 54744% 43% 44% 43% 47% 41% 43% 47% 50% 37% 51% 39% 52% 40% 43% 48% 47% 41% 43% 42% 44%

    f J L N R

    Several times a day

    304 92 57 36 105 101 95 109 165 139 122 182 114 190 219 78 153 152 52 24 20415% 15% 17% 14% 15% 15% 14% 15% 15% 14% 15% 14% 17% 14% 15% 14% 16% 14% 16% 10% 16%

    t

    Once a day

    217 64 28 26 85 75 73 68 97 120 89 127 64 153 156 50 79 138 35 23 12410% 10% 8% 10% 12% 11% 11% 10% 9% 12% 11% 10% 9% 11% 11% 9% 8% 13% 11% 10% 10%

    I Q

    Several times a week

    109 37 20 14 37 46 29 34 71 38 57 52 49 60 78 24 38 71 23 20 515% 6% 6% 5% 5% 7% 4% 5% 6% 4% 7% 4% 7% 4% 5% 4% 4% 7% 7% 8% 4%

    J L N Q u U

    Once a week

    89 21 20 19 24 25 42 22 52 37 43 46 39 50 67 11 36 53 22 12 374% 3% 6% 7% 3% 4% 6% 3% 5% 4% 5% 4% 6% 4% 5% 2% 4% 5% 7% 5% 3%

    b BE fH n P U

    Several times a month

    129 34 23 22 37 41 50 39 70 59 43 86 38 91 93 31 61 68 24 24 656% 5% 7% 8% 5% 6% 7% 6% 6% 6% 5% 7% 6% 7% 6% 6% 6% 6% 7% 10% 5%

    U

    Once a month or less often

    317 113 43 32 90 122 93 102 100 217 37 279 21 296 209 91 156 161 24 36 22615% 18% 13% 12% 13% 18% 14% 14% 9% 22% 5% 22% 3% 21% 15% 17% 16% 15% 8% 15% 18%

    cdE I K M s S

    I do not use products orservices from this type oftechnology company

    2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 11Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 11Q1_3 How often do you use products or services from each of the following types of technology companies?

    Video streaming service (e.g., Netflix, Disney+, Hulu)

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    1572 786 786 558 308 273 228 205 277 152 146 104 107 282 156 127 124 98 270 624 290 38876% 79% 73% 92% 89% 80% 68% 47% 92% 89% 87% 68% 54% 92% 89% 73% 68% 40% 74% 79% 66% 81%

    C FGH FGH GH H LM LM LMP M R PQR PQR R R U U sU

    Ever (Net)

    1325 649 676 476 282 222 184 160 221 139 120 85 83 255 143 102 99 77 219 536 246 32464% 66% 63% 78% 82% 65% 55% 37% 73% 82% 72% 55% 42% 83% 82% 59% 55% 32% 60% 68% 56% 68%

    FGH FGH GH H LM LM LMp m r PQRI PQR R R SU sU

    At Least Once A Week (Sub-Net)

    805 389 415 311 189 148 91 65 136 102 80 41 30 176 87 68 50 35 125 327 155 19739% 39% 38% 51% 55% 43% 27% 15% 45% 60% 48% 27% 15% 57% 50% 39% 28% 14% 34% 41% 36% 41%

    fGH FGH GH H LM IkLM LM M PQRI QR qR R s

    At Least Once A Day (Sub-Sub-Net)

    519 229 290 218 123 101 41 35 85 61 52 14 16 133 62 49 27 18 73 216 107 12325% 23% 27% 36% 36% 30% 12% 8% 28% 36% 31% 9% 8% 43% 36% 28% 15% 8% 20% 27% 25% 26%

    GH GH GH LM LM LM PQRI QR QR r S

    Several times a day

    286 161 125 93 66 47 50 30 50 41 28 27 14 42 24 18 23 17 53 111 48 7414% 16% 12% 15% 19% 14% 15% 7% 17% 24% 17% 18% 7% 14% 14% 11% 13% 7% 14% 14% 11% 15%

    C H H H H M Mo M M R r r

    Once a day

    369 174 194 103 63 53 74 75 43 23 30 36 43 61 40 23 39 32 71 152 70 7518% 18% 18% 17% 18% 15% 22% 17% 14% 14% 18% 23% 22% 20% 23% 13% 21% 13% 20% 19% 16% 16%

    f ij ijR pRj r

    Several times a week

    152 85 67 62 30 21 19 20 43 13 10 8 10 19 16 11 10 10 23 56 21 527% 9% 6% 10% 9% 6% 6% 5% 14% 8% 6% 5% 5% 6% 9% 7% 6% 4% 6% 7% 5% 11%

    gH h KLMN r stU

    Once a week

    153 87 66 48 22 30 31 22 33 12 14 15 13 15 10 15 16 9 33 57 25 387% 9% 6% 8% 6% 9% 9% 5% 11% 7% 9% 10% 7% 5% 6% 9% 9% 4% 9% 7% 6% 8%

    c h N r r

    Several times a month

    94 49 44 34 4 21 13 22 22 1 12 4 11 11 3 9 8 12 17 31 19 265% 5% 4% 6% 1% 6% 4% 5% 7% * 7% 3% 5% 4% 2% 5% 5% 5% 5% 4% 4% 6%

    E E e E J J J

    Once a month or less often

    497 205 292 50 37 69 107 234 25 19 22 49 90 25 18 47 57 144 93 167 147 9024% 21% 27% 8% 11% 20% 32% 53% 8% 11% 13% 32% 46% 8% 11% 27% 32% 60% 26% 21% 34% 19%

    B DE DEF DEFG IJK IJKL NOK NO NOPQM v STV

    I do not use products orservices from this type oftechnology company

    2069 991 1078 609 345 342 335 439 302 170 168 154 197 307 174 173 181 242 364 790 436 479100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 12Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 12Q1_3 How often do you use products or services from each of the following types of technology companies?

    Video streaming service (e.g., Netflix, Disney+, Hulu)

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    1572 423 254 221 620 494 495 582 956 616 743 829 639 933 1103 410 775 797 291 187 89576% 67% 75% 84% 87% 71% 73% 83% 87% 64% 93% 65% 94% 67% 77% 75% 79% 73% 92% 79% 71%

    B BC BC FG J L N R TU u

    Ever (Net)

    1325 353 216 193 520 423 422 480 800 525 646 679 566 759 916 361 672 653 254 152 76464% 56% 64% 74% 73% 61% 63% 68% 73% 54% 81% 54% 84% 55% 64% 66% 68% 60% 80% 64% 61%

    B BC BC Fg J L N R TU

    At Least Once A Week (Sub-Net)

    805 218 140 119 305 267 255 283 505 300 425 379 389 415 530 242 405 400 160 97 46039% 34% 41% 45% 43% 38% 38% 40% 46% 31% 53% 30% 58% 30% 37% 45% 41% 37% 50% 41% 37%

    b B B J L N O U

    At Least Once A Day (Sub-Sub-Net)

    519 154 89 58 203 174 163 182 331 188 271 248 255 264 325 176 248 271 97 75 29925% 24% 26% 22% 28% 25% 24% 26% 30% 19% 34% 20% 38% 19% 23% 32% 25% 25% 31% 32% 24%

    J L N O u u

    Several times a day

    286 63 51 61 102 93 92 101 174 111 154 132 135 151 205 67 157 129 62 21 16114% 10% 15% 23% 14% 13% 14% 14% 16% 12% 19% 10% 20% 11% 14% 12% 16% 12% 20% 9% 13%

    B BCE b J L N R TU

    Once a day

    369 96 51 46 159 100 124 144 206 163 149 220 122 246 274 85 204 165 60 37 22318% 15% 15% 18% 22% 14% 18% 21% 19% 17% 19% 17% 18% 18% 19% 16% 21% 15% 19% 16% 18%

    BC F R

    Several times a week

    152 39 26 28 56 56 43 53 90 62 72 80 54 97 112 35 63 88 35 18 817% 6% 8% 11% 8% 8% 6% 8% 8% 6% 9% 6% 8% 7% 8% 6% 6% 8% 11% 8% 6%

    b l u

    Once a week

    153 32 26 17 71 44 47 62 100 53 63 90 51 103 119 30 70 83 26 23 737% 5% 8% 7% 10% 6% 7% 9% 9% 5% 8% 7% 8% 7% 8% 5% 7% 8% 8% 10% 6%

    B J p u

    Several times a month

    94 38 12 11 29 27 27 40 55 38 33 60 22 71 69 19 33 61 10 12 585% 6% 3% 4% 4% 4% 4% 6% 5% 4% 4% 5% 3% 5% 5% 4% 3% 6% 3% 5% 5%

    q

    Once a month or less often

    497 209 84 41 95 199 179 119 147 351 57 440 38 459 329 134 209 288 25 50 35724% 33% 25% 16% 13% 29% 27% 17% 13% 36% 7% 35% 6% 33% 23% 25% 21% 27% 8% 21% 29%

    CDE DE H H I K M Q S St

    I do not use products orservices from this type oftechnology company

    2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 13Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 13Q1_4 How often do you use products or services from each of the following types of technology companies?

    Audio streaming service (e.g., Apple Music, Spotify, Pandora)

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    1331 671 660 544 289 218 158 122 265 150 119 74 62 279 139 99 83 60 228 541 241 32264% 68% 61% 89% 84% 64% 47% 28% 88% 88% 71% 48% 32% 91% 80% 57% 46% 25% 63% 68% 55% 67%

    C eFGH FGH GH H KLM KLMo LMp M OPQR PQR qR R u U U

    Ever (Net)

    1044 561 483 446 251 161 119 67 221 136 95 64 45 225 115 66 56 22 182 414 193 25550% 57% 45% 73% 73% 47% 36% 15% 73% 80% 57% 41% 23% 73% 66% 38% 31% 9% 50% 52% 44% 53%

    C FGH FGH GH H KLM KLMO lMP M R PQR PQR R R U U

    At Least Once A Week (Sub-Net)

    600 325 275 266 157 109 46 22 133 85 64 30 14 133 72 45 16 9 116 229 104 15129% 33% 25% 44% 46% 32% 14% 5% 44% 50% 38% 20% 7% 43% 41% 26% 9% 4% 32% 29% 24% 32%

    C FGH FGH GH H LM kLM LMp MQ PQR PQR QR r U u

    At Least Once A Day (Sub-Sub-Net)

    382 206 176 182 105 60 24 10 92 55 38 15 5 91 50 22 10 4 68 145 75 9418% 21% 16% 30% 31% 18% 7% 2% 30% 32% 23% 10% 3% 30% 29% 13% 5% 2% 19% 18% 17% 20%

    C FGH FGH GH H LM LM LMp M PQR PQR qR

    Several times a day

    218 120 98 83 52 48 22 13 41 30 25 16 8 42 22 23 6 4 48 84 29 5811% 12% 9% 14% 15% 14% 6% 3% 14% 17% 15% 10% 4% 14% 13% 13% 3% 2% 13% 11% 7% 12%

    c GH GH GH h M M M mq QR QR QR U u U

    Once a day

    313 153 160 131 54 40 52 37 59 26 22 20 27 72 28 18 31 10 44 121 73 7415% 15% 15% 22% 16% 12% 15% 8% 20% 15% 13% 13% 14% 23% 16% 10% 17% 4% 12% 15% 17% 16%

    eFgH H H R PR R R R

    Several times a week

    132 82 49 49 40 13 21 8 29 26 10 13 5 20 15 2 9 3 22 64 16 306% 8% 5% 8% 12% 4% 6% 2% 9% 15% 6% 8% 3% 7% 8% 1% 5% 1% 6% 8% 4% 6%

    C FH FgH H M KM p m PR PR r U

    Once a week

    137 54 83 49 26 26 16 20 18 12 14 3 8 31 14 12 13 12 25 58 17 377% 5% 8% 8% 7% 8% 5% 5% 6% 7% 8% 2% 4% 10% 8% 7% 7% 5% 7% 7% 4% 8%

    h l r l u u

    Several times a month

    150 56 94 50 12 32 22 35 26 2 10 8 9 24 9 21 14 26 21 69 30 307% 6% 9% 8% 3% 9% 7% 8% 9% 1% 6% 5% 5% 8% 5% 12% 8% 11% 6% 9% 7% 6%

    B E E E J j o M

    Once a month or less often

    738 320 418 65 56 123 177 317 37 20 49 79 135 28 36 74 98 182 135 250 195 15736% 32% 39% 11% 16% 36% 53% 72% 12% 12% 29% 52% 68% 9% 20% 43% 54% 75% 37% 32% 45% 33%

    B d DE DEF DEFG IJ IJK IJKL Nj NOk NOp NOPQ sTV

    I do not use products orservices from this type oftechnology company

    2069 991 1078 609 345 342 335 439 302 170 168 154 197 307 174 173 181 242 364 790 436 479100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 14Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 14Q1_4 How often do you use products or services from each of the following types of technology companies?

    Audio streaming service (e.g., Apple Music, Spotify, Pandora)

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    1331 365 212 191 512 416 428 487 855 476 676 655 582 749 912 360 618 713 260 167 72164% 58% 63% 73% 72% 60% 64% 69% 78% 49% 84% 52% 86% 54% 64% 66% 63% 66% 82% 70% 58%

    BC BC Fg J L N TU U

    Ever (Net)

    1044 273 169 143 425 314 335 396 707 338 569 475 491 554 706 289 484 561 202 132 55650% 43% 50% 54% 59% 45% 50% 56% 64% 35% 71% 37% 73% 40% 49% 53% 49% 52% 64% 56% 44%

    b B BC FG J L N U U

    At Least Once A Week (Sub-Net)

    600 148 102 73 263 173 177 250 442 158 340 260 320 280 412 168 287 312 126 96 31629% 23% 30% 28% 37% 25% 26% 36% 40% 16% 43% 20% 47% 20% 29% 31% 29% 29% 40% 40% 25%

    B Bd FG J L N U U

    At Least Once A Day (Sub-Sub-Net)

    382 86 64 40 187 105 113 164 285 97 215 167 203 179 257 109 173 209 75 69 19518% 14% 19% 15% 26% 15% 17% 23% 26% 10% 27% 13% 30% 13% 18% 20% 18% 19% 24% 29% 16%

    b BcD FG J L N U U

    Several times a day

    218 62 38 33 76 68 64 86 156 61 125 92 117 101 154 58 114 103 51 27 12111% 10% 11% 13% 11% 10% 9% 12% 14% 6% 16% 7% 17% 7% 11% 11% 12% 10% 16% 11% 10%

    J L N U

    Once a day

    313 86 53 38 121 105 111 97 175 138 150 163 102 211 204 93 135 178 52 25 16915% 14% 16% 14% 17% 15% 16% 14% 16% 14% 19% 13% 15% 15% 14% 17% 14% 16% 16% 11% 14%

    L

    Several times a week

    132 40 13 32 41 36 47 49 90 41 79 53 69 63 91 29 62 70 25 12 716% 6% 4% 12% 6% 5% 7% 7% 8% 4% 10% 4% 10% 5% 6% 5% 6% 6% 8% 5% 6%

    BCE J L N

    Once a week

    137 33 25 25 48 56 37 43 84 52 61 75 54 82 96 37 69 68 25 17 787% 5% 7% 10% 7% 8% 5% 6% 8% 5% 8% 6% 8% 6% 7% 7% 7% 6% 8% 7% 6%

    b

    Several times a month

    150 59 18 23 39 46 57 48 64 86 45 105 37 113 110 35 65 85 32 17 877% 9% 5% 9% 6% 7% 8% 7% 6% 9% 6% 8% 5% 8% 8% 6% 7% 8% 10% 7% 7%

    cE I k m

    Once a month or less often

    738 266 126 71 203 278 246 215 247 490 124 614 94 643 520 183 366 372 56 71 53136% 42% 37% 27% 28% 40% 36% 31% 22% 51% 16% 48% 14% 46% 36% 34% 37% 34% 18% 30% 42%

    DE DE H h I K M S ST

    I do not use products orservices from this type oftechnology company

    2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 15Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 15Q1_5 How often do you use products or services from each of the following types of technology companies?

    Multi-brand e-commerce (e.g., Amazon, AliExpress, Overstock)

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    1762 856 906 548 310 287 279 338 278 157 141 126 153 270 152 145 153 185 322 673 346 42185% 86% 84% 90% 90% 84% 83% 77% 92% 92% 84% 82% 78% 88% 87% 84% 85% 77% 88% 85% 79% 88%

    FGH fgH h h KLM kLM R R r U U U

    Ever (Net)

    915 479 436 345 204 146 122 98 178 118 78 59 47 168 85 68 63 51 178 344 182 21144% 48% 40% 57% 59% 43% 36% 22% 59% 69% 46% 38% 24% 55% 49% 39% 35% 21% 49% 43% 42% 44%

    C FGH FGH H H kLM iKLMO M M PQR QR R R u

    At Least Once A Week (Sub-Net)

    333 186 147 137 90 62 31 13 71 49 45 11 10 66 42 17 20 3 56 130 58 8916% 19% 14% 23% 26% 18% 9% 3% 24% 29% 27% 7% 5% 22% 24% 10% 11% 1% 15% 16% 13% 19%

    C GH FGH GH H LM LM LMP r PQR PQR R R

    At Least Once A Day (Sub-Sub-Net)

    193 110 83 77 50 44 16 7 44 21 30 8 7 33 28 14 7 1 32 73 28 619% 11% 8% 13% 14% 13% 5% 2% 14% 13% 18% 5% 3% 11% 16% 8% 4% * 9% 9% 6% 13%

    C GH GH GH h LM lM LMP R QR pQR R R U

    Several times a day

    140 76 64 61 41 18 15 6 27 27 15 3 3 33 13 3 12 3 24 57 30 297% 8% 6% 10% 12% 5% 5% 1% 9% 16% 9% 2% 2% 11% 8% 2% 7% 1% 7% 7% 7% 6%

    fGH FGH H H LM iLMo LMP PR PR pR

    Once a day

    326 175 151 121 66 49 50 40 65 43 20 30 17 56 23 29 20 23 72 115 60 7816% 18% 14% 20% 19% 14% 15% 9% 21% 25% 12% 20% 9% 18% 13% 17% 11% 10% 20% 15% 14% 16%

    c H H h H kM KMO M R r tu

    Several times a week

    256 119 137 87 47 35 41 45 42 26 13 18 20 45 21 23 23 25 50 98 63 4412% 12% 13% 14% 14% 10% 12% 10% 14% 16% 8% 11% 10% 15% 12% 13% 13% 10% 14% 12% 14% 9%

    k v v

    Once a week

    365 158 208 105 44 75 68 73 51 12 36 31 28 54 32 39 37 46 60 139 68 9918% 16% 19% 17% 13% 22% 20% 17% 17% 7% 21% 20% 14% 17% 18% 23% 21% 19% 16% 18% 16% 21%

    E E J J J j J

    Several times a month

    481 219 263 98 62 66 89 167 50 27 28 36 78 48 35 38 53 89 84 191 96 11123% 22% 24% 16% 18% 19% 27% 38% 17% 16% 16% 23% 40% 16% 20% 22% 29% 37% 23% 24% 22% 23%

    DEf DEFG IJKL N NOP

    Once a month or less often

    307 135 172 61 35 55 56 101 23 13 27 28 44 38 22 28 28 57 42 117 90 5815% 14% 16% 10% 10% 16% 17% 23% 8% 8% 16% 18% 22% 12% 13% 16% 15% 23% 12% 15% 21% 12%

    De De DEfg Ij IJ IJ NOq STV

    I do not use products orservices from this type oftechnology company

    2069 991 1078 609 345 342 335 439 302 170 168 154 197 307 174 173 181 242 364 790 436 479100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 16Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 16Q1_5 How often do you use products or services from each of the following types of technology companies?

    Multi-brand e-commerce (e.g., Amazon, AliExpress, Overstock)

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    1762 492 285 240 670 527 580 655 1012 750 742 1019 636 1126 1263 431 887 874 282 198 105085% 78% 84% 92% 94% 76% 86% 93% 92% 78% 93% 80% 94% 81% 88% 79% 90% 81% 89% 83% 84%

    B BC BC F FG J L N P R u

    Ever (Net)

    915 213 122 120 437 247 281 387 618 297 480 435 412 503 680 200 488 428 160 96 54844% 34% 36% 46% 61% 36% 42% 55% 56% 31% 60% 34% 61% 36% 47% 37% 50% 39% 50% 40% 44%

    Bc BCD f FG J L N P R

    At Least Once A Week (Sub-Net)

    333 72 37 41 178 89 88 156 247 87 195 139 179 154 255 68 185 148 61 46 18316% 11% 11% 16% 25% 13% 13% 22% 22% 9% 24% 11% 27% 11% 18% 13% 19% 14% 19% 20% 15%

    BCD FG J L N P R

    At Least Once A Day (Sub-Sub-Net)

    193 35 23 21 111 55 36 103 148 45 111 83 104 89 150 39 109 84 35 20 1099% 6% 7% 8% 15% 8% 5% 15% 13% 5% 14% 7% 15% 6% 10% 7% 11% 8% 11% 8% 9%

    BCD FG J L N p R

    Several times a day

    140 37 15 20 68 34 52 54 99 41 84 56 76 64 105 30 76 64 26 27 747% 6% 4% 8% 9% 5% 8% 8% 9% 4% 10% 4% 11% 5% 7% 5% 8% 6% 8% 11% 6%

    bC f J L N U

    Once a day

    326 65 50 44 161 87 105 134 208 118 168 158 135 191 236 79 164 162 50 30 20716% 10% 15% 17% 22% 13% 16% 19% 19% 12% 21% 12% 20% 14% 16% 15% 17% 15% 16% 13% 16%

    b B BC F J L N

    Several times a week

    256 76 35 34 98 70 88 97 164 92 117 138 98 158 188 52 138 117 48 20 15812% 12% 10% 13% 14% 10% 13% 14% 15% 10% 15% 11% 14% 11% 13% 10% 14% 11% 15% 8% 13%

    f J l p r t

    Once a week

    365 91 71 68 120 99 124 142 200 166 138 227 130 236 255 98 176 189 66 52 19518% 14% 21% 26% 17% 14% 18% 20% 18% 17% 17% 18% 19% 17% 18% 18% 18% 17% 21% 22% 16%

    B BE F u

    Several times a month

    481 188 92 53 113 180 175 126 194 288 124 358 94 387 327 134 224 257 56 50 30723% 30% 27% 20% 16% 26% 26% 18% 18% 30% 15% 28% 14% 28% 23% 25% 23% 24% 18% 21% 25%

    DE E H H I K M s

    Once a month or less often

    307 140 53 22 46 167 94 47 91 217 58 250 41 267 169 113 97 211 34 40 20315% 22% 16% 8% 6% 24% 14% 7% 8% 22% 7% 20% 6% 19% 12% 21% 10% 19% 11% 17% 16%

    CDE DE GH H I K M O Q s

    I do not use products orservices from this type oftechnology company

    2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 17Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 17Q1_6 How often do you use products or services from each of the following types of technology companies?

    Fintech service (e.g., PayPal, Venmo, Cash App)

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    1490 749 741 538 309 238 223 182 268 161 126 106 89 270 148 112 118 93 246 594 278 37272% 76% 69% 88% 90% 70% 67% 42% 89% 94% 75% 69% 45% 88% 85% 65% 65% 38% 68% 75% 64% 78%

    C FGH FGH H H KLM KLMO M M PQR PQR R R SU SU

    Ever (Net)

    831 456 375 380 218 118 71 44 202 125 72 35 22 178 93 46 36 22 148 340 142 20140% 46% 35% 62% 63% 34% 21% 10% 67% 74% 43% 22% 11% 58% 53% 26% 20% 9% 41% 43% 33% 42%

    C FGH FGH GH H KLMn KLMO LMP M PQR PQR R R U U U

    At Least Once A Week (Sub-Net)

    306 180 127 148 97 49 10 3 79 53 40 6 3 69 44 10 4 * 54 121 58 7315% 18% 12% 24% 28% 14% 3% 1% 26% 31% 23% 4% 1% 22% 25% 6% 2% * 15% 15% 13% 15%

    C FGH FGH GH h LM LM LMP PQR PQR R

    At Least Once A Day (Sub-Sub-Net)

    177 92 86 90 53 29 5 1 40 24 25 3 1 50 29 4 2 - 29 74 35 399% 9% 8% 15% 15% 8% 1% * 13% 14% 15% 2% * 16% 17% 2% 1% - 8% 9% 8% 8%

    FGH FGH GH h LM LM LMP PQR PQR r

    Several times a day

    129 88 41 58 43 20 5 3 39 29 14 3 2 19 14 6 2 * 25 48 23 336% 9% 4% 10% 13% 6% 1% 1% 13% 17% 9% 2% 1% 6% 8% 3% 1% * 7% 6% 5% 7%

    C GH FGH GH LMN kLMo lM QR QR R

    Once a day

    289 155 134 118 71 38 36 26 59 42 17 25 12 59 29 21 11 14 51 103 42 9314% 16% 12% 19% 20% 11% 11% 6% 20% 25% 10% 16% 6% 19% 16% 12% 6% 6% 14% 13% 10% 19%

    c FGH FGH H h kM KM MQ QR QR r sTU

    Several times a week

    236 121 115 115 51 30 25 15 64 30 15 4 8 51 21 15 21 7 44 116 41 3511% 12% 11% 19% 15% 9% 8% 3% 21% 18% 9% 3% 4% 16% 12% 9% 12% 3% 12% 15% 9% 7%

    FGH fGH H H KLM kLM l pR R R RL v UV

    Once a week

    319 131 187 81 51 72 70 45 28 20 27 33 23 52 31 45 37 22 48 128 69 7415% 13% 17% 13% 15% 21% 21% 10% 9% 11% 16% 22% 12% 17% 18% 26% 20% 9% 13% 16% 16% 16%

    B DeH DH Ijm RI R nRk R

    Several times a month

    340 162 178 77 40 48 83 93 37 16 27 38 44 40 24 21 45 49 50 127 67 9616% 16% 16% 13% 11% 14% 25% 21% 12% 9% 16% 25% 22% 13% 14% 12% 25% 20% 14% 16% 15% 20%

    DEF DEF IJ IJ NOP np s

    Once a month or less often

    579 241 338 71 36 104 112 256 34 10 43 48 107 37 26 61 64 149 117 196 159 10728% 24% 31% 12% 10% 30% 33% 58% 11% 6% 25% 31% 55% 12% 15% 35% 35% 62% 32% 25% 36% 22%

    B DE DE DEFG IJ IJ IJKL J NO NO NOPQ TV TV

    I do not use products orservices from this type oftechnology company

    2069 991 1078 609 345 342 335 439 302 170 168 154 197 307 174 173 181 242 364 790 436 479100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 18Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 18Q1_6 How often do you use products or services from each of the following types of technology companies?

    Fintech service (e.g., PayPal, Venmo, Cash App)

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    1490 406 234 203 597 467 478 544 917 572 705 785 602 887 1028 402 714 775 270 191 82972% 64% 69% 77% 83% 67% 71% 78% 83% 59% 88% 62% 89% 64% 72% 74% 73% 71% 85% 81% 66%

    Bc BC FG J L N U U

    Ever (Net)

    831 216 113 115 364 262 258 312 560 271 495 336 426 405 572 216 373 459 174 116 41840% 34% 34% 44% 51% 38% 38% 44% 51% 28% 62% 26% 63% 29% 40% 40% 38% 42% 55% 49% 33%

    BC BC Fg J L N U U

    At Least Once A Week (Sub-Net)

    306 90 32 35 146 107 67 132 225 81 206 101 195 111 193 92 141 165 53 59 13915% 14% 9% 13% 20% 15% 10% 19% 20% 8% 26% 8% 29% 8% 13% 17% 14% 15% 17% 25% 11%

    c BCd G G J L N u U

    At Least Once A Day (Sub-Sub-Net)

    177 59 18 20 76 69 49 60 126 51 116 61 105 72 98 61 67 110 25 37 749% 9% 5% 8% 11% 10% 7% 9% 11% 5% 15% 5% 16% 5% 7% 11% 7% 10% 8% 16% 6%

    c C J L N O Q sU

    Several times a day

    129 31 14 15 70 38 18 72 99 30 89 40 90 39 95 31 74 55 29 22 656% 5% 4% 6% 10% 6% 3% 10% 9% 3% 11% 3% 13% 3% 7% 6% 7% 5% 9% 9% 5%

    BC g FG J L N r u u

    Once a day

    289 73 29 49 128 89 94 106 170 119 171 118 138 151 206 79 144 145 61 33 16014% 12% 9% 19% 18% 13% 14% 15% 15% 12% 21% 9% 20% 11% 14% 14% 15% 13% 19% 14% 13%

    BC BC L N U

    Several times a week

    236 53 52 31 90 66 96 74 165 71 119 118 93 143 174 46 88 148 59 24 11911% 8% 15% 12% 13% 10% 14% 11% 15% 7% 15% 9% 14% 10% 12% 8% 9% 14% 19% 10% 10%

    B B Fh J L n p Q tU

    Once a week

    319 81 66 42 121 108 90 120 187 131 113 205 94 224 217 93 167 151 54 41 18515% 13% 20% 16% 17% 16% 13% 17% 17% 14% 14% 16% 14% 16% 15% 17% 17% 14% 17% 17% 15%

    B j

    Several times a month

    340 110 55 45 112 97 130 112 170 170 97 243 82 258 239 92 174 166 42 34 22616% 17% 16% 17% 16% 14% 19% 16% 15% 18% 12% 19% 12% 19% 17% 17% 18% 15% 13% 14% 18%

    F K M

    Once a month or less often

    579 225 103 60 119 226 196 157 185 394 95 484 74 505 404 142 270 309 46 46 42428% 36% 31% 23% 17% 33% 29% 22% 17% 41% 12% 38% 11% 36% 28% 26% 27% 29% 15% 19% 34%

    DE dE H H I K M ST

    I do not use products orservices from this type oftechnology company

    2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 19Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 19Q1_7 How often do you use products or services from each of the following types of technology companies?

    Transportation (e.g., Uber, Lyft, Via)

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    924 524 399 423 219 140 90 52 228 131 93 49 23 195 88 47 41 28 179 346 147 25145% 53% 37% 69% 64% 41% 27% 12% 76% 77% 55% 32% 12% 63% 50% 27% 23% 12% 49% 44% 34% 52%

    C FGH FGH GH H KLMN KLMO LMP M OPQR PQR R R U U TU

    Ever (Net)

    434 288 145 221 120 64 21 9 132 84 53 14 5 88 36 11 7 3 92 159 60 12321% 29% 13% 36% 35% 19% 6% 2% 44% 49% 31% 9% 3% 29% 21% 6% 4% 1% 25% 20% 14% 26%

    C FGH FGH GH H kLMN KLMO LMP M PQR PQR R U U tU

    At Least Once A Week (Sub-Net)

    199 133 67 116 47 24 10 3 70 31 20 8 3 46 16 3 2 - 47 57 23 7310% 13% 6% 19% 14% 7% 3% 1% 23% 18% 12% 6% 1% 15% 9% 2% 1% - 13% 7% 5% 15%

    C eFGH FGH gH H KLMN LMO MP mq PQR PQR r TU TU

    At Least Once A Day (Sub-Sub-Net)

    102 66 36 60 25 13 1 2 34 16 13 1 2 26 9 1 - - 25 30 8 395% 7% 3% 10% 7% 4% * 1% 11% 9% 8% 1% 1% 8% 5% * - - 7% 4% 2% 8%

    C FGH GH GH LM LM LMP PQR PQR TU TU

    Several times a day

    97 67 31 56 22 10 9 * 36 16 8 8 * 20 7 3 2 - 21 28 14 345% 7% 3% 9% 6% 3% 3% * 12% 9% 5% 5% * 6% 4% 1% 1% - 6% 4% 3% 7%

    C FGH fgH H H klMn M M Mq pQR R Tu

    Once a day

    122 86 36 57 35 21 6 4 38 28 15 2 3 18 7 6 3 1 26 42 23 306% 9% 3% 9% 10% 6% 2% 1% 13% 16% 9% 1% 1% 6% 4% 3% 2% 1% 7% 5% 5% 6%

    C GH GH GH LMN LMO LM qR r r

    Several times a week

    112 70 43 48 38 19 5 2 24 25 18 3 - 24 13 2 2 2 19 60 14 205% 7% 4% 8% 11% 6% 1% * 8% 15% 10% 2% - 8% 8% 1% 1% 1% 5% 8% 3% 4%

    C GH FGH GH lM iLMo LMP PQR PQR Uv

    Once a week

    161 71 91 100 36 11 6 8 42 21 5 2 1 58 15 6 4 7 29 66 26 418% 7% 8% 16% 10% 3% 2% 2% 14% 12% 3% 1% * 19% 9% 3% 2% 3% 8% 8% 6% 8%

    EFGH FGH KLM KLM OPQR QR

    Several times a month

    329 165 163 102 63 65 63 35 54 26 35 33 17 48 37 30 30 18 59 121 61 8816% 17% 15% 17% 18% 19% 19% 8% 18% 15% 21% 21% 9% 16% 21% 17% 17% 7% 16% 15% 14% 18%

    H H H H M M M R R R R

    Once a month or less often

    1145 466 679 186 126 202 245 387 74 39 75 105 173 112 86 126 140 214 185 444 289 22755% 47% 63% 31% 36% 59% 73% 88% 24% 23% 45% 68% 88% 37% 50% 73% 77% 88% 51% 56% 66% 48%

    B DE DEF DEFG IJ IJK IJKL I NJ NOK NO NOPQ V STV

    I do not use products orservices from this type oftechnology company

    2069 991 1078 609 345 342 335 439 302 170 168 154 197 307 174 173 181 242 364 790 436 479100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 20Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 20Q1_7 How often do you use products or services from each of the following types of technology companies?

    Transportation (e.g., Uber, Lyft, Via)

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    924 232 132 118 416 283 263 378 650 274 512 412 437 487 616 264 414 509 198 118 46745% 37% 39% 45% 58% 41% 39% 54% 59% 28% 64% 32% 65% 35% 43% 49% 42% 47% 63% 50% 37%

    b BCD FG J L N o q TU U

    Ever (Net)

    434 106 47 59 219 150 86 197 333 100 297 137 261 173 317 94 200 234 106 63 19321% 17% 14% 23% 31% 22% 13% 28% 30% 10% 37% 11% 39% 12% 22% 17% 20% 22% 33% 27% 15%

    C BCd G FG J L N p U U

    At Least Once A Week (Sub-Net)

    199 46 17 24 110 81 39 80 155 44 145 55 122 77 157 31 78 121 44 32 8310% 7% 5% 9% 15% 12% 6% 11% 14% 5% 18% 4% 18% 6% 11% 6% 8% 11% 14% 13% 7%

    BCd G G J L N P Q U U

    At Least Once A Day (Sub-Sub-Net)

    102 29 5 11 55 34 25 43 89 13 69 33 64 38 80 16 45 56 31 17 385% 5% 2% 4% 8% 5% 4% 6% 8% 1% 9% 3% 10% 3% 6% 3% 5% 5% 10% 7% 3%

    C bC g J L N p U U

    Several times a day

    97 17 12 13 55 47 14 36 66 32 75 22 58 40 78 15 33 65 13 14 455% 3% 4% 5% 8% 7% 2% 5% 6% 3% 9% 2% 9% 3% 5% 3% 3% 6% 4% 6% 4%

    BC G G J L N P Q

    Once a day

    122 28 16 23 55 28 27 67 95 26 74 48 73 49 81 36 59 63 31 11 616% 4% 5% 9% 8% 4% 4% 9% 9% 3% 9% 4% 11% 4% 6% 7% 6% 6% 10% 5% 5%

    B B FG J L N U

    Several times a week

    112 32 14 13 53 41 20 51 83 30 78 34 66 46 79 28 63 50 31 21 505% 5% 4% 5% 7% 6% 3% 7% 8% 3% 10% 3% 10% 3% 5% 5% 6% 5% 10% 9% 4%

    g G J L N U U

    Once a week

    161 46 30 14 63 57 55 49 109 52 93 68 76 85 92 58 64 98 32 28 768% 7% 9% 5% 9% 8% 8% 7% 10% 5% 12% 5% 11% 6% 6% 11% 6% 9% 10% 12% 6%

    J L N O q u U

    Several times a month

    329 80 55 45 135 76 122 131 208 121 122 207 100 229 207 111 150 178 60 27 19916% 13% 16% 17% 19% 11% 18% 19% 19% 12% 15% 16% 15% 16% 14% 20% 15% 16% 19% 11% 16%

    B F F J O t

    Once a month or less often

    1145 400 205 144 299 411 411 324 452 693 288 857 240 905 816 280 570 575 118 120 78555% 63% 61% 55% 42% 59% 61% 46% 41% 72% 36% 68% 35% 65% 57% 51% 58% 53% 37% 50% 63%

    dE E E H H I K M p r S ST

    I do not use products orservices from this type oftechnology company

    2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 21Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 21Q1_8 How often do you use products or services from each of the following types of technology companies?

    Food delivery service (e.g., Seamless, DoorDash, Postmates)

    Base: All Respondents

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    2069 952 1117 612 325 290 327 515 295 158 131 125 243 317 167 159 202 272 426 822 412 409Unweighted Base2069 991 1078 609 345 342 335 439 302 170 168* 154* 197 307 174 173 181 242 364 790 436 479Weighted Base

    1087 585 502 483 243 181 106 73 252 139 98 55 41 231 104 83 51 32 192 419 194 28253% 59% 47% 79% 71% 53% 32% 17% 83% 82% 58% 36% 21% 75% 60% 48% 28% 13% 53% 53% 45% 59%

    C EFGH FGH GH H KLMn KLMO LM M r OPQR pQR QR R u U U

    Ever (Net)

    604 372 232 297 163 88 46 9 171 110 60 25 6 126 53 28 21 3 119 223 101 16129% 38% 21% 49% 47% 26% 14% 2% 57% 65% 36% 16% 3% 41% 30% 16% 12% 1% 33% 28% 23% 34%

    C FGH FGH GH H KLMN KLMO LMP M oPQR PQR R R U U

    At Least Once A Week (Sub-Net)

    193 109 85 104 58 26 5 1 54 36 16 1 1 49 21 10 4 - 39 72 24 599% 11% 8% 17% 17% 8% 1% * 18% 21% 9% 1% 1% 16% 12% 6% 2% - 11% 9% 5% 12%

    c FGH FGH GH kLM KLMo LM PQR pQR R r U u U

    At Least Once A Day (Sub-Sub-Net)

    90 52 38 46 33 11 1 - 19 24 9 - - 26 9 2 1 - 15 38 13 244% 5% 4% 7% 9% 3% * - 6% 14% 6% - - 9% 5% 1% 1% - 4% 5% 3% 5%

    FGH FGH GH LM IkLMO LMp PQR pQR

    Several times a day

    103 57 46 58 25 15 4 1 35 13 7 1 1 23 12 8 3 - 24 34 11 355% 6% 4% 10% 7% 4% 1% * 12% 7% 4% 1% 1% 7% 7% 5% 2% - 7% 4% 2% 7%

    FGH GH GH KLM LM m QR QR R U tU

    Once a day

    223 156 67 97 66 43 14 3 59 54 35 7 1 39 11 7 7 2 46 80 38 5811% 16% 6% 16% 19% 13% 4% 1% 19% 32% 21% 4% * 13% 7% 4% 4% 1% 13% 10% 9% 12%

    C GH fGH GH H LMn IkLMO LMP m PQR R r r

    Several times a week

    188 107 80 96 40 19 28 5 58 20 9 17 4 38 20 11 10 1 34 71 39 439% 11% 7% 16% 12% 6% 8% 1% 19% 12% 5% 11% 2% 12% 11% 6% 6% 1% 9% 9% 9% 9%

    C FGH FH H H KMn M M pqR R R R

    Once a week

    191 84 107 91 34 35 19 12 35 14 18 8 9 56 20 17 11 4 31 71 43 459% 8% 10% 15% 10% 10% 6% 3% 12% 8% 11% 5% 4% 18% 11% 10% 6% 2% 9% 9% 10% 9%

    eGH H gH M m PQRi R R R

    Several times a month

    292 129 163 95 46 58 41 51 46 15 20 22 26 49 32 38 19 25 41 125 50 7614% 13% 15% 16% 13% 17% 12% 12% 15% 9% 12% 14% 13% 16% 18% 22% 11% 10% 11% 16% 12% 16%

    h rJ QRk s

    Once a month or less often

    982 406 577 126 101 161 229 365 50 31 70 99 156 76 70 91 130 210 172 372 242 19747% 41% 53% 21% 29% 47% 68% 83% 17% 18% 42% 64% 79% 25% 40% 52% 72% 87% 47% 47% 55% 41%

    B D DE DEF DEFG IJ IJK IJKL i NJ No NOP NOPQm sTV

    I do not use products orservices from this type oftechnology company

    2069 991 1078 609 345 342 335 439 302 170 168 154 197 307 174 173 181 242 364 790 436 479100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base

  • Page 22Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 22Q1_8 How often do you use products or services from each of the following types of technology companies?

    Food delivery service (e.g., Seamless, DoorDash, Postmates)

    Base: All Respondents

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    2069 828 391 251 478 637 594 838 1058 1011 744 1325 658 1411 1425 562 1031 1038 198 188 1503Unweighted Base2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253Weighted Base

    1087 276 169 145 463 342 310 435 754 333 595 492 516 571 720 315 484 603 223 151 54853% 44% 50% 55% 65% 49% 46% 62% 68% 34% 74% 39% 76% 41% 50% 58% 49% 56% 71% 63% 44%

    B BCD FG J L N O Q U U

    Ever (Net)

    604 139 74 78 299 186 148 270 475 129 386 218 346 258 433 139 281 322 135 92 28729% 22% 22% 30% 42% 27% 22% 38% 43% 13% 48% 17% 51% 19% 30% 26% 29% 30% 43% 39% 23%

    Bc BCD FG J L N U U

    At Least Once A Week (Sub-Net)

    193 41 17 29 103 61 39 93 157 37 132 61 117 77 149 31 85 108 43 38 729% 7% 5% 11% 14% 9% 6% 13% 14% 4% 17% 5% 17% 5% 10% 6% 9% 10% 13% 16% 6%

    bC BC FG J L N P U U

    At Least Once A Day (Sub-Sub-Net)

    90 19 6 11 52 36 11 43 73 17 64 26 66 24 69 13 47 43 19 22 354% 3% 2% 4% 7% 5% 2% 6% 7% 2% 8% 2% 10% 2% 5% 2% 5% 4% 6% 9% 3%

    BC G G J L N P u U

    Several times a day

    103 22 10 17 51 25 28 50 84 20 68 35 51 52 80 18 38 65 24 16 375% 4% 3% 7% 7% 4% 4% 7% 8% 2% 9% 3% 8% 4% 6% 3% 4% 6% 8% 7% 3%

    bc BC Fg J L N q U U

    Once a day

    223 48 34 20 120 66 41 116 181 42 154 69 142 81 164 54 114 109 55 31 10911% 8% 10% 8% 17% 10% 6% 17% 16% 4% 19% 5% 21% 6% 11% 10% 12% 10% 17% 13% 9%

    BCD g FG J L N U

    Several times a week

    188 50 24 30 76 58 68 61 137 51 100 88 87 100 120 55 82 105 38 23 1069% 8% 7% 11% 11% 8% 10% 9% 12% 5% 12% 7% 13% 7% 8% 10% 8% 10% 12% 10% 8%

    J L N

    Once a week

    191 55 46 26 62 71 63 57 124 68 97 94 72 119 110 76 76 115 37 24 969% 9% 14% 10% 9% 10% 9% 8% 11% 7% 12% 7% 11% 9% 8% 14% 8% 11% 12% 10% 8%

    Be J L O q

    Several times a month

    292 83 49 41 101 85 99 109 156 136 112 180 98 194 177 99 126 167 51 35 16514% 13% 15% 16% 14% 12% 15% 15% 14% 14% 14% 14% 15% 14% 12% 18% 13% 15% 16% 15% 13%

    O

    Once a month or less often

    982 355 168 117 253 352 364 266 348 634 205 777 161 821 712 229 501 481 93 87 70547% 56% 50% 45% 35% 51% 54% 38% 32% 66% 26% 61% 24% 59% 50% 42% 51% 44% 29% 37% 56%

    DE E E H H I K M P R ST

    I do not use products orservices from this type oftechnology company

    2069 631 337 262 716 694 674 701 1102 967 800 1269 677 1392 1432 544 984 1085 316 238 1253100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

    Sigma

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used.

  • Page 23Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 23Q2 Over the last 12 months, do you feel you have used products or services from each of the following types of technology

    companies more often, less often, or about the same amount?

    Summary Of Use More Often

    Base: Use Products/Services Of Listed Tech Companies (Variable Base)

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    749 352 397 265 157 133 115 80 120 82 65 45 40 144 75 68 69 40 128 301 135 18448% 45% 50% 47% 51% 49% 50% 39% 43% 54% 45% 44% 37% 51% 48% 53% 56% 41% 47% 48% 47% 47%

    b h H h h M r

    Video streaming service(e.g., Netflix, Disney+,Hulu)

    402 224 178 158 103 76 45 20 81 62 47 24 11 78 41 29 21 9 82 143 63 11437% 38% 35% 33% 42% 42% 42% 28% 32% 44% 47% 44% 28% 34% 40% 35% 40% 28% 43% 34% 32% 41%

    dh i I tu

    Food delivery service (e.g.,Seamless, DoorDash,Postmates)

    487 270 216 220 122 77 44 24 120 68 47 18 18 100 54 30 27 5 81 192 90 12437% 40% 33% 40% 42% 35% 28% 19% 45% 45% 39% 24% 29% 36% 39% 30% 32% 9% 35% 35% 37% 39%

    C GH GH H Lmn Lm l R R R R R

    Audio streaming service(e.g., Apple Music,Spotify, Pandora)

    634 319 314 249 153 101 70 60 130 91 50 27 21 120 62 50 43 39 122 245 112 15536% 39% 34% 43% 48% 34% 26% 21% 46% 57% 35% 24% 18% 41% 38% 33% 28% 23% 40% 36% 33% 37%

    c FGH FGH H kLM iKLMO M QR R

    Social media (e.g.,Facebook, Instagram,Twitter)

    580 267 312 154 134 102 94 95 70 72 49 39 37 84 62 53 55 58 103 214 114 14833% 31% 34% 28% 43% 36% 34% 28% 25% 46% 35% 31% 24% 31% 41% 36% 36% 31% 32% 32% 33% 35%

    DgH d IlM

    Multi-brand e-commerce(e.g., Amazon, AliExpress,Overstock)

    588 298 291 212 136 101 72 67 103 86 56 23 31 109 51 46 49 37 91 232 110 15732% 32% 31% 38% 43% 33% 23% 18% 37% 52% 34% 16% 18% 38% 33% 31% 31% 18% 28% 32% 28% 36%

    GH FGH GH LM IKLMO LM R R R RL su

    Search engine (e.g.,Google, Bing,DuckDuckGo)

    397 182 215 186 89 68 43 12 90 44 33 13 3 96 46 35 30 9 64 165 69 9927% 24% 29% 35% 29% 29% 19% 6% 34% 27% 26% 12% 3% 35% 31% 31% 26% 10% 26% 28% 25% 27%

    GH gH gH H LM LM LM m R R R Rl

    Fintech service (e.g.,PayPal, Venmo, CashApp)

    160 98 62 91 41 22 4 1 52 27 18 * 1 39 14 4 4 * 26 69 22 4417% 19% 16% 22% 19% 16% 5% 2% 23% 21% 20% 1% 3% 20% 16% 9% 10% 2% 14% 20% 15% 17%

    GH GH gH

    Transportation service(e.g., Uber, Lyft, Via)

    ________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing

  • Page 24Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 24Q2 Over the last 12 months, do you feel you have used products or services from each of the following types of technology

    companies more often, less often, or about the same amount?

    Summary Of Use More Often

    Base: Use Products/Services Of Listed Tech Companies (Variable Base)

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    749 187 125 107 313 205 236 307 468 280 369 379 331 418 519 207 392 357 145 86 43448% 44% 49% 48% 50% 42% 48% 53% 49% 45% 50% 46% 52% 45% 47% 51% 51% 45% 50% 46% 48%

    F N r

    Video streaming service(e.g., Netflix, Disney+,Hulu)

    402 86 68 57 185 97 115 190 296 106 223 179 212 190 293 101 199 203 79 49 23537% 31% 40% 39% 40% 28% 37% 44% 39% 32% 38% 36% 41% 33% 41% 32% 41% 34% 35% 33% 43%

    B f F j N P R t

    Food delivery service (e.g.,Seamless, DoorDash,Postmates)

    487 113 85 59 223 143 143 201 352 134 301 186 261 225 350 121 227 259 106 58 25137% 31% 40% 31% 43% 34% 33% 41% 41% 28% 45% 28% 45% 30% 38% 34% 37% 36% 41% 35% 35%

    b BD fg J L N

    Audio streaming service(e.g., Apple Music,Spotify, Pandora)

    634 174 88 80 270 171 204 259 422 212 341 293 306 327 431 174 332 302 114 79 36536% 34% 30% 35% 43% 30% 35% 43% 42% 28% 45% 30% 47% 30% 35% 38% 40% 33% 39% 39% 36%

    BC FG J L N R

    Social media (e.g.,Facebook, Instagram,Twitter)

    580 115 81 88 276 120 193 266 360 220 249 330 243 337 419 140 339 241 98 56 36533% 23% 29% 37% 41% 23% 33% 41% 36% 29% 34% 32% 38% 30% 33% 33% 38% 28% 35% 28% 35%

    B BC F FG J N R

    Multi-brand e-commerce(e.g., Amazon, AliExpress,Overstock)

    588 146 90 84 245 163 174 252 361 227 297 291 262 327 396 168 313 275 109 71 32732% 27% 28% 34% 36% 28% 28% 37% 35% 27% 40% 26% 41% 27% 30% 35% 34% 29% 38% 34% 29%

    b Bc FG J L N R U

    Search engine (e.g.,Google, Bing,DuckDuckGo)

    397 117 56 46 167 122 117 158 273 124 229 168 199 199 268 113 179 218 82 69 19927% 29% 24% 23% 28% 26% 25% 29% 30% 22% 32% 21% 33% 22% 26% 28% 25% 28% 30% 36% 24%

    J L N U

    Fintech service (e.g.,PayPal, Venmo, CashApp)

    160 28 20 26 87 41 46 74 119 41 120 41 90 70 125 29 71 89 41 28 6617% 12% 15% 22% 21% 14% 17% 19% 18% 15% 23% 10% 21% 14% 20% 11% 17% 18% 21% 24% 14%

    B B L n P U

    Transportation service(e.g., Uber, Lyft, Via)

    ______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used. * small base

  • Page 25Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 25Q2 Over the last 12 months, do you feel you have used products or services from each of the following types of technology

    companies more often, less often, or about the same amount?

    Summary Of Use Less Often

    Base: Use Products/Services Of Listed Tech Companies (Variable Base)

    Gender Age Male Age Female Age Region

    North- Mid-Total Male Female 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ 18-34 35-44 45-54 55-64 65+ east South west West

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V)

    366 209 157 147 93 51 48 26 84 54 27 32 12 64 39 24 16 14 93 129 47 9740% 40% 39% 35% 42% 37% 54% 50% 37% 41% 29% 66% 51% 33% 44% 52% 39% 50% 52% 37% 32% 39%

    DF d nK TUV

    Transportation service(e.g., Uber, Lyft, Via)

    189 100 89 89 49 25 13 13 52 27 11 4 7 37 22 14 9 7 26 72 40 5117% 17% 18% 18% 20% 14% 12% 18% 21% 19% 11% 7% 16% 16% 21% 17% 18% 21% 14% 17% 21% 18%

    l l

    Food delivery service (e.g.,Seamless, DoorDash,Postmates)

    190 101 88 80 51 21 18 19 46 30 9 9 7 34 21 12 9 12 35 78 20 5713% 14% 12% 15% 17% 9% 8% 11% 17% 19% 7% 9% 8% 13% 14% 11% 8% 13% 14% 13% 7% 15%

    fg FG Km Km U U U

    Fintech service (e.g.,PayPal, Venmo, CashApp)

    167 83 84 86 27 15 10 29 44 17 8 5 9 42 10 7 5 20 25 66 33 4213% 12% 13% 16% 9% 7% 7% 24% 17% 12% 6% 7% 15% 15% 7% 7% 6% 33% 11% 12% 14% 13%

    EFG dEFG K o NOPQm

    Audio streaming service(e.g., Apple Music,Spotify, Pandora)

    219 87 132 72 42 34 37 33 36 16 11 12 12 36 26 23 26 22 37 82 29 7112% 11% 14% 13% 13% 11% 14% 12% 13% 10% 8% 10% 10% 12% 16% 15% 17% 13% 12% 12% 8% 17%

    b tU

    Social media (e.g.,Facebook, Instagram,Twitter)

    218 98 119 91 42 29 25 30 53 22 9 6 10 39 20 20 20 20 36 82 37 6312% 12% 13% 17% 14% 10% 9% 9% 19% 14% 6% 5% 6% 14% 13% 14% 13% 11% 11% 12% 11% 15%

    FGH KLM kLm k l

    Multi-brand e-commerce(e.g., Amazon, AliExpress,Overstock)

    125 66 59 52 32 16 11 15 27 15 7 7 10 25 17 9 4 5 25 48 21 318% 8% 8% 9% 10% 6% 5% 7% 10% 10% 5% 6% 9% 9% 11% 7% 4% 5% 9% 8% 7% 8%

    g q

    Video streaming service(e.g., Netflix, Disney+,Hulu)

    148 84 65 79 24 16 13 16 42 16 9 9 9 38 7 7 5 8 31 46 32 398% 9% 7% 14% 7% 5% 4% 4% 15% 10% 5% 6% 5% 13% 5% 5% 3% 4% 10% 6% 8% 9%

    EFGH KLM OPQR

    Search engine (e.g.,Google, Bing,DuckDuckGo)________________________________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C - D/E/F/G/H - I/J/K/L/M - N/O/P/Q/R - I/N - J/O - K/P - L/Q - M/R - S/T/U/VOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing

  • Page 26Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 26Q2 Over the last 12 months, do you feel you have used products or services from each of the following types of technology

    companies more often, less often, or about the same amount?

    Summary Of Use Less Often

    Base: Use Products/Services Of Listed Tech Companies (Variable Base)

    Parent of ChildHousehold Income Education Employed Children in HH Under 18 Home Ownership Marital Status Race/Ethnicity

    Less $50K $75K Black WhiteThan - - HS or Some College Not (Not His- (Not His-

    Total $50K $74.9K $99.9K $100K+ less College Grad+ Yes No Yes No Yes No Homeowner Renter Married married Hispanic panic) panic)

    (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U)

    366 85 45 41 178 101 98 167 248 118 183 182 157 209 240 105 173 193 69 32 19940% 37% 34% 34% 43% 36% 37% 44% 38% 43% 36% 44% 36% 43% 39% 40% 42% 38% 35% 27% 42%

    f K m T

    Transportation service(e.g., Uber, Lyft, Via)

    189 52 19 25 78 78 49 62 127 62 105 84 83 106 118 49 85 104 37 31 7717% 19% 11% 17% 17% 23% 16% 14% 17% 19% 18% 17% 16% 19% 16% 16% 18% 17% 16% 21% 14%

    c H

    Food delivery service (e.g.,Seamless, DoorDash,Postmates)

    190 65 30 20 69 69 58 62 111 79 104 86 88 102 128 46 76 114 37 21 8613% 16% 13% 10% 12% 15% 12% 11% 12% 14% 15% 11% 15% 11% 12% 12% 11% 15% 14% 11% 10%

    de l q

    Fintech service (e.g.,PayPal, Venmo, CashApp)

    167 61 16 25 57 65 56 46 95 72 91 76 70 97 108 47 67 100 38 25 6713% 17% 8% 13% 11% 16% 13% 10% 11% 15% 13% 12% 12% 13% 12% 13% 11% 14% 15% 15% 9%

    Ce H i u u

    Audio streaming service(e.g., Apple Music,Spotify, Pandora)

    219 62 41 45 60 74 96 49 117 102 100 119 79 140 157 49 94 125 56 17 9312% 12% 14% 20% 10% 13% 17% 8% 12% 14% 13% 12% 12% 13% 13% 11% 11% 14% 19% 8% 9%

    BE H H TU

    Social media (e.g.,Facebook, Instagram,Twitter)

    218 93 18 20 70 95 67 56 124 94 103 115 77 141 128 70 80 138 39 37 10112% 19% 6% 8% 10% 18% 12% 9% 12% 13% 14% 11% 12% 13% 10% 16% 9% 16% 14% 19% 10%

    CDE GH O Q U

    Multi-brand e-commerce(e.g., Amazon, AliExpress,Overstock)

    125 46 16 15 42 56 35 34 85 40 70 55 67 58 73 36 51 74 18 21 618% 11% 6% 7% 7% 11% 7% 6% 9% 6% 9% 7% 10% 6% 7% 9% 7% 9% 6% 11% 7%

    e gH N

    Video streaming service(e.g., Netflix, Disney+,Hulu)

    148 50 20 11 62 74 42 32 97 52 85 64 72 77 102 37 57 91 29 25 648% 9% 6% 4% 9% 13% 7% 5% 9% 6% 12% 6% 11% 6% 8% 8% 6% 10% 10% 12% 6%

    d d GH J L N Q U U

    Search engine (e.g.,Google, Bing,DuckDuckGo)______________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - B/C/D/E - F/G/H - I/J - K/L - M/N - O/P - Q/R - S/T/UOverlap formulae used. * small base

  • Page 27Fielding Period: October 22 - 26, 2020Harris PollWeighted To The U.S. General Adult Population - Propensity

    27 Oct 2020Table 27Q2_1 Over the las