New York, N.Y. – July 15, 2014 – There aren’t that many items left that we can’t order online these days. From low cost knick-knacks to high end automobiles, it’s tough to imagine a category that hasn’t seen at least some online retail penetration in the past few years. And Americans have certainly taken the opportunities offered, with majorities saying they’ve purchased clothing (69%), digital content (59%), and accessories such as handbags and shoes (54%) online, while half (49%) have purchased personal electronics such as digital music players or tablets in this fashion.
These are some of the results of The Harris Poll of 2,241 U.S. adults surveyed online between June 11 and 16, 2014.
Most of these purchases are taking place on traditional computer screens, though smartphones and tablets are making some clear inroads:
- Among smartphone owners, two in ten have purchased digital content via such devices (20%) while nearly one in ten have used a smartphone to purchase clothing (9%), accessories (8%), and personal electronics (9%).
- Over a third of tablet owners have used such a device to purchase digital content (36%), while roughly two in ten have used a tablet to purchase clothing (22%) and accessories (19%). Nearly two in ten have used a tablet to purchase personal electronics (16%), while roughly one in ten say the same of cosmetics and personal grooming products (12%) and household electronics (9%).
Predictably, younger generations are more likely to have made purchases online in most of the product categories tested; the exception to this is prescription medications, with four in ten Matures (40%) saying they have purchased these online vs. roughly a fourth of most Baby Boomers (27%) and Gen Xers (26%) and fewer than two in ten Millennials (18%).
Women are more likely to have purchased clothing (75% vs. 63%), accessories (60% vs. 47%) and cosmetics/grooming products (41% vs. 28%) online, while men are more likely to have purchased digital content (62% vs. 56%), personal electronics (55% vs. 43%) and household electronics (49% vs. 37%) online.
Favoring face-to-face
However, while online shopping is being utilized by many Americans, there is still a clear preference for shopping in-person across most of the product categories tested. Nearly eight in ten U.S. adults indicated an in-person preference for general food purchases such as groceries (78%), roughly two-thirds for over the counter medications (67%) and clothing (65%) and over half for prescription medications (58%), cosmetics/grooming products (57%), specialty food and beverages (57%), household electronics (55%) and accessories (52%). Even personal electronics, the category showing the strongest online shopping preference, shows a roughly 2:1 ratio of Americans expressing an in-person (43%) vs. online (22%) shopping preference.
Shipping issues
Shipping costs are clearly a hot-button online shopping issue. When U.S. adults were asked how each of a series of purchase terms would impact their likelihood to make a purchase online (as opposed to in person), strong majorities say free shipping (81%) and free postage for sending in returns/exchanges (70%) would make them more likely to make such purchases online.
A small majority (55%) say the same of the opportunity to make returns/exchanges at a brick and mortar store, though opportunity is a key word here. Roughly half (49%) say that returns only being free if they are brought in-person to a brick and mortar store that is not available locally would make them less likely to make a purchase online.
Shipping costs also emerge as a sore subject when discussing online shopping pet peeves. Of those Americans with at least one cyber bone to pick with online shopping, two-thirds (66%) identify shipping costs as among the foremost of such annoyances. In addition:
- Nearly four in ten (38%) point to getting something that looks nothing like it did online.
- Over one in ten say the same of getting put onto a retailer’s mailing list after making a purchase (16%), having to buy two sizes of an item because they’re not sure which will fit (15%) and the fact that it can take a long time for returns/exchanges to process (14%).
Millennials are more likely than their elders to point to having to buy two sizes due to not knowing what will fit (21% vs. 14% Gen Xers, 13% Baby Boomers and 9% Matures), while Matures are more likely than their younger counterparts to sweat the possibility of ending up on a retailer’s mailing list (10%, 14% and 17% vs. 27%, respectively).
Looking at gender gaps, women are more likely to point to shipping costs (71% vs. 60%), items looking nothing like they did online (41% vs. 34%) and having to double up on sizes purchased (19% vs. 11%), while men appear to be more likely to suffer from mailing list anxiety (23% vs. 9%).
The cost of can’t wait
While most Americans show resistance to paying for shipping, not all shipping is created equal and over two in ten (22%) say they would be willing to pay more for either overnight or same day delivery, with 15% specifically saying they’d pony up for overnight service and 14% for same-day.
á Among those who would pay extra for same day delivery, six in ten (60%) would pay $10 or more and the average up-charge they could live with is $13.90.
á Looking at overnight shipping, among those willing to pay for this at all 45% would pay $10 or more and willing shoppers would pay up to $11.00 on average.
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TABLE 1a
HAVE MADE AN ONLINE PURCHASE, BY PRODUCT CATEGORY
Summary Grid
Now thinking about shopping online, which, if any, of these devices have you ever used to make an online purchase within each of these categories?
Base: U.S. adults
|
Have purchased online (NET) |
Smartphone |
Tablet |
Laptop or desktop computer |
Have never purchased this type of product online |
|
|
% |
% |
% |
% |
% |
|
| Clothing |
69 |
6 |
10 |
65 |
31 |
| Digital content (e.g., movies, music, ebooks) |
59 |
12 |
17 |
48 |
41 |
| Accessories (e.g., handbags, shoes) |
54 |
5 |
9 |
49 |
46 |
| Personal electronics (e.g., digital music player, tablet) |
49 |
5 |
7 |
43 |
51 |
| Household electronics (e.g., television, stereo) |
43 |
4 |
5 |
38 |
57 |
| Cosmetics and personal grooming (e.g., makeup, shaving products, facial cleansers) |
35 |
4 |
5 |
31 |
65 |
| Prescription medications |
26 |
3 |
4 |
21 |
74 |
| Specialty food and beverages (e.g., hard to find seasonings, special ingredients) |
25 |
3 |
3 |
23 |
75 |
| Over the counter medications |
18 |
2 |
2 |
15 |
82 |
| General food purchases (e.g., groceries) |
15 |
2 |
2 |
12 |
85 |
Note: Percentages may not add up to 100% due to rounding.
TABLE 1b
HAVE MADE AN ONLINE PURCHASE, BY PRODUCT CATEGORY
Have Purchased Online (NET) – by Generation, Gender, Smartphone & Tablet Ownership
Now thinking about shopping online, which, if any, of these devices have you ever used to make an online purchase within each of these categories?
Base: U.S. Adults
|
Total |
Generation |
Gender |
Devices Owned |
||||||
|
Millennials (18-36) |
Gen Xers (37-48) |
Baby Boomers (49-67) |
Matures (68+) |
Male |
Female |
Smartphone |
Tablet |
||
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
|
| Clothing |
69 |
68 |
77 |
70 |
61 |
63 |
75 |
76 |
77 |
| Digital content (e.g., movies, music, ebooks) |
59 |
65 |
72 |
53 |
38 |
62 |
56 |
70 |
74 |
| Accessories (e.g., handbags, shoes) |
54 |
58 |
60 |
52 |
38 |
47 |
60 |
62 |
62 |
| Personal electronics (e.g., digital music player, tablet) |
49 |
57 |
57 |
44 |
26 |
55 |
43 |
58 |
64 |
| Household electronics (e.g., television, stereo) |
43 |
44 |
49 |
43 |
27 |
49 |
37 |
48 |
49 |
| Cosmetics and personal grooming (e.g., makeup, shaving products, facial cleansers) |
35 |
39 |
41 |
32 |
20 |
28 |
41 |
41 |
39 |
| Prescription medications |
26 |
18 |
26 |
27 |
40 |
27 |
24 |
26 |
28 |
| Specialty food and beverages (e.g., hard to find seasonings, special ingredients) |
25 |
25 |
32 |
21 |
27 |
27 |
24 |
29 |
29 |
| Over the counter medications |
18 |
18 |
19 |
17 |
20 |
18 |
19 |
21 |
20 |
| General food purchases (e.g., groceries) |
15 |
18 |
23 |
11 |
8 |
16 |
15 |
18 |
17 |
TABLE 1c
HAVE MADE AN ONLINE PURCHASE W/ A SMARTPHONE, BY PRODUCT CATEGORY
Using a Smartphone – by Generation, Gender, Smartphone & Tablet Ownership
Now thinking about shopping online, which, if any, of these devices have you ever used to make an online purchase within each of these categories?
Base: U.S. Adults
|
Total |
Generation |
Gender |
Devices Owned |
||||||
|
Millennials (18-36) |
Gen Xers (37-48) |
Baby Boomers (49-67) |
Matures (68+) |
Male |
Female |
Smartphone |
Tablet |
||
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
|
| Digital content (e.g., movies, music, ebooks) |
12 |
23 |
16 |
5 |
1 |
13 |
12 |
20 |
18 |
| Clothing |
6 |
11 |
7 |
2 |
— |
5 |
7 |
9 |
10 |
| Accessories (e.g., handbags, shoes) |
5 |
13 |
3 |
1 |
— |
5 |
5 |
8 |
8 |
| Personal electronics (e.g., digital music player, tablet) |
5 |
10 |
6 |
2 |
1 |
7 |
4 |
9 |
9 |
| Household electronics (e.g., television, stereo) |
4 |
8 |
4 |
1 |
— |
4 |
4 |
6 |
6 |
| Cosmetics and personal grooming (e.g., makeup, shaving products, facial cleansers) |
4 |
11 |
2 |
1 |
— |
3 |
5 |
7 |
7 |
| Prescription medications |
3 |
5 |
4 |
2 |
— |
4 |
3 |
5 |
5 |
| Specialty food and beverages (e.g., hard to find seasonings, special ingredients) |
3 |
6 |
3 |
|
— |
3 |
2 |
4 |
3 |
| Over the counter medications |
2 |
4 |
1 |
1 |
|
2 |
2 |
3 |
2 |
| General food purchases (e.g., groceries) |
2 |
5 |
2 |
1 |
— |
3 |
2 |
3 |
2 |
Note 1: indicates a selection rate of <0.5% for this response
Note 2: — indicates no selections for this response
TABLE 1d
HAVE MADE AN ONLINE PURCHASE W/ A TABLET, BY PRODUCT CATEGORY
Using a Tablet – by Generation, Gender, Smartphone & Tablet Ownership
Now thinking about shopping online, which, if any, of these devices have you ever used to make an online purchase within each of these categories?
Base: U.S. Adults
|
Total |
Generation |
Gender |
Devices Owned |
||||||
|
Millennials (18-36) |
Gen Xers (37-48) |
Baby Boomers (49-67) |
Matures (68+) |
Male |
Female |
Smartphone |
Tablet |
||
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
|
| Digital content (e.g., movies, music, ebooks) |
17 |
26 |
18 |
11 |
7 |
16 |
17 |
22 |
36 |
| Clothing |
10 |
18 |
8 |
5 |
2 |
9 |
10 |
13 |
22 |
| Accessories (e.g., handbags, shoes) |
9 |
16 |
6 |
5 |
2 |
8 |
9 |
12 |
19 |
| Personal electronics (e.g., digital music player, tablet) |
7 |
17 |
5 |
3 |
1 |
10 |
6 |
11 |
16 |
| Household electronics (e.g., television, stereo) |
5 |
10 |
5 |
2 |
1 |
7 |
3 |
7 |
9 |
| Cosmetics and personal grooming (e.g., makeup, shaving products, facial cleansers) |
4 |
10 |
4 |
3 |
1 |
5 |
5 |
8 |
12 |
| Prescription medications |
4 |
7 |
3 |
2 |
1 |
4 |
3 |
5 |
6 |
| Specialty food and beverages (e.g., hard to find seasonings, special ingredients) |
3 |
6 |
4 |
1 |
1 |
3 |
3 |
5 |
6 |
| Over the counter medications |
2 |
4 |
3 |
1 |
|
2 |
2 |
4 |
5 |
| General food purchases (e.g., groceries) |
2 |
4 |
3 |
1 |
|
2 |
2 |
3 |
5 |
Note 1: indicates a selection rate of <0.5% for this response
Note 2: — indicates no selections for this response
TABLE 2a
IMPACT OF TERMS ON LIKELIHOOD TO MAKE A PURCHASE ONLINE INSTEAD OF IN PERSON
Summary Grid
How would each of the following impact your likelihood to make a purchase online, as opposed to in person?
Base: U.S. adults
|
MORE LIKELY (NET) |
Much more likely to make my purchase online |
Somewhat more likely to make my purchase online |
Neither more nor less likely |
LESS LIKELY (NET) |
Somewhat less likely to make my purchase online |
Much less likely to make my purchase online |
|
|
% |
% |
% |
% |
% |
% |
% |
|
| Free shipping |
81 |
60 |
22 |
13 |
6 |
2 |
3 |
| Free postage for sending in returns/exchanges |
70 |
42 |
28 |
24 |
6 |
2 |
3 |
| Opportunity to make returns/exchanges at a brick and mortar store |
55 |
27 |
28 |
35 |
10 |
3 |
7 |
| Returns only free if brought in-person to a brick and mortar store which is not available to you locally |
16 |
7 |
10 |
35 |
49 |
15 |
34 |
Note: Percentages may not add up to 100% due to rounding.
TABLE 2b
IMPACT OF TERMS ON LIKELIHOOD TO MAKE A PURCHASE ONLINE INSTEAD OF IN PERSON
More Likely (NET) – by Generation & Gender
How would each of the following impact your likelihood to make a purchase online, as opposed to in person?
Base: U.S. Adults
|
Total |
Generation |
Gender |
|||||
|
Millennials (18-36) |
Gen Xers (37-48) |
Baby Boomers (49-67) |
Matures (68+) |
Male |
Female |
||
|
% |
% |
% |
% |
% |
% |
% |
|
| Free shipping |
81 |
79 |
81 |
83 |
81 |
79 |
83 |
| Free postage for sending in returns/exchanges |
70 |
67 |
71 |
73 |
72 |
65 |
75 |
| Opportunity to make returns/exchanges at a brick and mortar store |
55 |
52 |
59 |
56 |
50 |
50 |
59 |
| Returns only free if brought in-person to a brick and mortar store which is not available to you locally |
16 |
19 |
18 |
14 |
13 |
17 |
16 |
TABLE 3
BIGGEST ONLINE SHOPPING PET PEEVES
By Generation & Gender
Which of these are among your biggest online shopping pet peeves?
Base: Have at least one pet peeve
|
Total |
Generation |
Gender |
|||||
|
Millennials (18-36) |
Gen Xers (37-48) |
Baby Boomers (49-67) |
Matures (68+) |
Male |
Female |
||
|
% |
% |
% |
% |
% |
% |
% |
|
| Shipping costs. |
66 |
60 |
68 |
69 |
66 |
60 |
71 |
| Getting something that looks nothing like it did online. |
38 |
42 |
37 |
38 |
28 |
34 |
41 |
| Getting put onto a retailer’s mailing list after making a purchase. |
16 |
10 |
14 |
17 |
27 |
23 |
9 |
| Having to buy two sizes of an item because I’m not sure which will fit me. |
15 |
21 |
14 |
13 |
9 |
11 |
19 |
| It can take a long time for a return/exchange to process. |
14 |
16 |
18 |
10 |
12 |
14 |
14 |
| Takes business away from local retailers. |
10 |
7 |
11 |
11 |
15 |
10 |
10 |
| I miss the instant gratification of buying something in person. |
10 |
9 |
9 |
11 |
10 |
11 |
9 |
| Having a transaction interrupted when losing a signal. |
10 |
13 |
10 |
7 |
10 |
11 |
8 |
| Other |
4 |
5 |
3 |
4 |
5 |
5 |
4 |
Note: Multiple responses allowed
TABLE 4a
ONLINE VS. IN-PERSON SHOPPING PREFERENCES, BY PRODUCT CATEGORY
Summary Grid
And thinking about shopping online vs. in-person at a brick and mortar store, how would you describe your preference between the two for each of the following types of items?
Base: U.S. adults
|
PREFER TO PURCHASE IN-PERSON (NET) |
Greatly prefer to purchase this type of product in-person |
Somewhat prefer to purchase this type of product in-person |
PREFER TO PURCHASE ONLINE (NET) |
Somewhat prefer to purchase this type of product online |
Greatly prefer to purchase this type of product online |
No preference |
Don’t purchase this type of product |
|
|
% |
% |
% |
% |
% |
% |
% |
% |
|
| General food purchases (e.g., groceries) |
78 |
69 |
9 |
5 |
3 |
2 |
11 |
6 |
| Over the counter medications |
67 |
55 |
13 |
7 |
3 |
3 |
18 |
8 |
| Clothing |
65 |
44 |
21 |
13 |
7 |
7 |
19 |
2 |
| Prescription medications |
58 |
49 |
9 |
13 |
4 |
8 |
17 |
12 |
| Cosmetics and personal grooming (e.g., makeup, shaving products, facial cleansers) |
57 |
43 |
15 |
12 |
6 |
6 |
21 |
10 |
| Specialty food and beverages (e.g., hard to find seasonings, special ingredients) |
57 |
45 |
12 |
10 |
6 |
4 |
18 |
15 |
| Household electronics (e.g., television, stereo) |
55 |
39 |
16 |
16 |
9 |
7 |
24 |
5 |
| Accessories (e.g., handbags, shoes) |
52 |
34 |
19 |
15 |
8 |
6 |
24 |
9 |
| Intimate items (e.g., lingerie, erotica) |
44 |
35 |
9 |
15 |
8 |
7 |
18 |
23 |
| Personal electronics (e.g., digital music player, tablet) |
43 |
29 |
14 |
22 |
13 |
9 |
29 |
6 |
Note: Percentages may not add up to 100% due to rounding.
TABLE 4b
IN-PERSON PREFERENCES, BY PRODUCT CATEGORY
Prefer to purchase this type of product in-person (NET) – by Generation & Gender
And thinking about shopping online vs. in-person at a brick and mortar store, how would you describe your preference between the two for each of the following types of items?
Base: U.S. Adults
|
Total |
Generation |
Gender |
|||||
|
Millennials (18-36) |
Gen Xers (37-48) |
Baby Boomers (49-67) |
Matures (68+) |
Male |
Female |
||
|
% |
% |
% |
% |
% |
% |
% |
|
| General food purchases (e.g., groceries) |
78 |
68 |
77 |
85 |
87 |
77 |
79 |
| Over the counter medications |
67 |
61 |
62 |
73 |
79 |
64 |
70 |
| Clothing |
65 |
59 |
62 |
68 |
79 |
66 |
65 |
| Prescription medications |
58 |
56 |
57 |
60 |
57 |
54 |
61 |
| Cosmetics and personal grooming (e.g., makeup, shaving products, facial cleansers) |
57 |
50 |
49 |
64 |
72 |
54 |
60 |
| Specialty food and beverages (e.g., hard to find seasonings, special ingredients) |
57 |
55 |
55 |
58 |
60 |
57 |
56 |
| Household electronics (e.g., television, stereo) |
55 |
44 |
51 |
60 |
74 |
52 |
57 |
| Accessories (e.g., handbags, shoes) |
52 |
45 |
49 |
55 |
69 |
48 |
57 |
| Intimate items (e.g., lingerie, erotica) |
44 |
41 |
41 |
46 |
56 |
34 |
54 |
| Personal electronics (e.g., digital music player, tablet) |
43 |
34 |
39 |
46 |
61 |
40 |
45 |
TABLE 4c
ONLINE PREFERENCES, BY PRODUCT CATEGORY
Prefer to purchase this type of product online (NET) – by Generation & Gender
And thinking about shopping online vs. in-person at a brick and mortar store, how would you describe your preference between the two for each of the following types of items?
Base: U.S. Adults
|
Total |
Generation |
Gender |
|||||
|
Millennials (18-36) |
Gen Xers (37-48) |
Baby Boomers (49-67) |
Matures (68+) |
Male |
Female |
||
|
% |
% |
% |
% |
% |
% |
% |
|
| Personal electronics (e.g., digital music player, tablet) |
22 |
27 |
23 |
20 |
13 |
24 |
20 |
| Household electronics (e.g., television, stereo) |
16 |
20 |
17 |
16 |
8 |
18 |
14 |
| Intimate items (e.g., lingerie, erotica) |
15 |
18 |
17 |
13 |
10 |
15 |
14 |
| Accessories (e.g., handbags, shoes) |
15 |
18 |
16 |
14 |
5 |
14 |
15 |
| Clothing |
13 |
16 |
14 |
13 |
9 |
12 |
14 |
| Prescription medications |
13 |
7 |
9 |
16 |
26 |
14 |
12 |
| Cosmetics and personal grooming (e.g., makeup, shaving products, facial cleansers) |
12 |
16 |
14 |
9 |
3 |
10 |
13 |
| Specialty food and beverages (e.g., hard to find seasonings, special ingredients) |
10 |
9 |
11 |
11 |
9 |
8 |
12 |
| Over the counter medications |
7 |
8 |
9 |
5 |
4 |
7 |
6 |
| General food purchases (e.g., groceries) |
5 |
8 |
6 |
3 |
2 |
5 |
6 |
TABLE 5
WOULD PAY MORE FOR SAME DAY/OVERNIGHT DELIVERY
By Generation, Gender & Metro Status
Would you be willing to pay more to get same day or overnight delivery when you shop online? Please select all that apply.
Base: U.S. Adults
|
Total |
Generation |
Gender |
Metro Status |
|||||||
|
Millennials (18-36) |
Gen Xers (37-48) |
Baby Boomers (49-67) |
Matures (68+) |
Male |
Female |
Urban |
Suburban |
Rural |
||
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
|
| Either (NET) |
22 |
37 |
20 |
15 |
6 |
26 |
18 |
28 |
18 |
23 |
| Overnight delivery |
15 |
24 |
12 |
11 |
5 |
17 |
13 |
18 |
13 |
14 |
| Same day delivery |
14 |
25 |
13 |
9 |
1 |
17 |
11 |
20 |
11 |
13 |
| Neither of these |
70 |
55 |
75 |
75 |
82 |
65 |
73 |
62 |
76 |
64 |
| I don’t shop online |
9 |
9 |
5 |
9 |
12 |
9 |
8 |
10 |
6 |
13 |
Note: Percentages may not add up to 100% due to rounding.
TABLE 6
ADDITIONAL AMOUNT WOULD PAY FOR SAME DAY DELIVERY
How much more would you be willing to pay to get same day delivery when you shop online?
Base: U.S. Adults who would pay more for same day delivery
|
Total |
||
|
% |
||
| $5 or more (NET) |
88 |
|
| $10 or more (NET) |
60 |
|
| $20 or more (NET) |
23 |
|
|
Mean |
$13.90 |
TABLE 7
ADDITIONAL AMOUNT WOULD PAY FOR OVERNIGHT DELIVERY
How much more would you be willing to pay to get overnight delivery when you shop online?
Base: U.S. Adults who would pay more for overnight delivery
|
Total |
||
|
% |
||
| $5 or more (NET) |
87 |
|
| $10 or more (NET) |
45 |
|
| $20 or more (NET) |
12 |
|
|
Mean |
$11.00 |
Methodology
This Harris Poll was conducted online within the United States between June 11 and 16, 2014 among 2,241 adults (aged 18 and over). Figures for age, sex, race/ethnicity, education, region and household income were weighted where necessary to bring them into line with their actual proportions in the population. Propensity score weighting was also used to adjust for respondents’ propensity to be online.
All sample surveys and polls, whether or not they use probability sampling, are subject to multiple sources of error which are most often not possible to quantify or estimate, including sampling error, coverage error, error associated with nonresponse, error associated with question wording and response options, and post-survey weighting and adjustments. Therefore, The Harris Poll avoids the words margin of error as they are misleading. All that can be calculated are different possible sampling errors with different probabilities for pure, unweighted, random samples with 100% response rates. These are only theoretical because no published polls come close to this ideal.
Respondents for this survey were selected from among those who have agreed to participate in Harris Poll surveys. The data have been weighted to reflect the composition of the adult population. Because the sample is based on those who agreed to participate in our panel, no estimates of theoretical sampling error can be calculated.
These statements conform to the principles of disclosure of the National Council on Public Polls.
The results of this Harris Poll may not be used in advertising, marketing or promotion without the prior written permission of The Harris Poll.
The Harris Poll¨ #67, July 15, 2014
By Larry Shannon-Missal, Manager, Harris Poll Content
About Nielsen & The Harris Poll
On February 3, 2014, Nielsen acquired Harris Interactive and The Harris Poll. Nielsen Holdings N.V. (NYSE: NLSN) is a global information and measurement company with leading market positions in marketing and consumer information, television and other media measurement, online intelligence and mobile measurement. Nielsen has a presence in approximately 100 countries, with headquarters in New York, USA and Diemen, the Netherlands. For more information, visit www.nielsen.com.
