Conjointly interviewed 1,427 American adults in the June 2026 Brand Tracker wave using a conversational AI interviewer instead of a fixed questionnaire. Each respondent had a short chat of up to three adaptive questions, starting with “How would you describe your last night’s sleep?” and following whatever they raised: a comfy pillow, a pacing dog, or three years of unexplained insomnia. The transcripts were analysed in two ways:

  1. a deep probe categorising what each conversation was about (nine sleep topics), and
  2. coding of what respondents said: how they rated last night’s sleep, what disrupted it, what helped, and how sleep affects their daily life etc.

Conjointly found that 53% of Americans described last night’s sleep positively and 25% described it poorly. But when people talk about sleep, they mostly talk about what breaks it: sleep disruptions took up 36% of the national sleep conversation, more than sleep quality (26%) and duration (15%).

What dominates the conversation shifts with life stage: disruption talk climbs from 25% of under-30s’ conversations to 42% among over-55s, while under-30s spend three times more of their conversation than over-55s on how sleep affects their daily life (13% vs 4%). One topic barely registered anywhere: sleep tracking technology rounded to 0.1% of everything discussed.

How Americans slept last night

53% of respondents described last night’s sleep positively, while 25% described a poor night.

Opening question: How would you describe your last night's sleep?

25%
11%
11%
53%
Poor ("terrible", "haven't slept a wink") Mixed ("it was ok, I guess") Unclassified Good ("great", "slept like a baby")

Results by segment

The line bar marks the overall average for "good sleep" (53%).

Gender

Male
(n=686)
23%
10%
11%
56%
56%
Female
(n=741)
26%
12%
11%
51%
51%

Age

Under 30
(n=217)
22%
9%
10%
59%
59%
30–55
(n=722)
26%
12%
11%
51%
51%
Over 55
(n=488)
24%
11%
10%
55%
55%

At 53% positive, the nation’s sleep glass is just over half full. Under-30s report the best nights (59% good) and the 30 to 55 group the worst (51% good, 26% poor), consistent with the career-and-kids squeeze of midlife. Women report slightly worse sleep than men (51% vs 56% good).

What Americans talk about when they talk about sleep

36% of the sleep conversation was about sleep disruptions, more than any other topic, and among over-55s it reached 42%.

Deep probe: Each conversation output was categorised into one of nine sleep topics.

% of all conversation outputs.

Sleep disruptions
36%
Sleep quality
26%
Sleep duration
15%
Impact on daily life & wellbeing
8%
Sleep environment
8%
Bedtime routines & habits
3%
Sleep aids & medications
3%
Napping behaviour
1%
Sleep tracking technology
0%

Results by segment

% of each segment's conversation outputs by topic.

Female
(n=741)
Male
(n=686)
Under 30
(n=217)
30–55
(n=722)
Over 55
(n=488)
Sleep disruptions
40%
32%
25%
36%
42%
Sleep quality
25%
27%
24%
26%
27%
Sleep duration
13%
18%
17%
14%
16%
Impact on daily life...
8%
8%
13%
9%
4%
Sleep environment
8%
8%
12%
8%
5%
Bedtime routines...
3%
4%
5%
3%
3%
Sleep aids &...
3%
3%
2%
3%
3%
Napping behaviour
1%
1%
2%
1%
1%
Sleep tracking...
0%
0%
0%
0%
0%
Female
(n=741)
Male
(n=686)
Under 30
(n=217)
30–55
(n=722)
Over 55
(n=488)
Sleep disruptions40%32%25%36%42%
Sleep quality25%27%24%26%27%
Sleep duration13%18%17%14%16%
Impact on daily life & wellbeing8%8%13%9%4%
Sleep environment8%8%12%8%5%
Bedtime routines & habits3%4%5%3%3%
Sleep aids & medications3%3%2%3%3%
Napping behaviour1%1%2%1%1%
Sleep tracking technology0%0%0%0%0%

Women’s conversations lean more towards disruptions than men’s (40% vs 32%), while men talk more about duration (18% vs 13%). Given free rein, Americans talk about what breaks their sleep, not what makes it. The balance shifts steadily with age: disruptions take up a quarter of under-30s’ sleep conversations (25%), rising to 36% in midlife and 42% among over-55s. Younger respondents talk instead about consequences and conditions: under-30s devote three times more of their conversation than over-55s to how sleep affects their daily life (13% vs 4%) and more than twice as much to their sleep environment (12% vs 5%). And for all the industry hype, sleep tracking technology rounded to 0.1% of the entire national sleep conversation.

What is keeping people awake

29% of poor sleepers described waking during the night, and 20% described trouble falling asleep, more than double the rate among good sleepers (9%).

Within the biggest topic: Since disruptions dominate the conversation, transcripts were coded for the specific disruptions respondents raised.

% of respondents (n=1,427). Respondents could raise more than one theme.

Waking during the night
28%
Trouble falling asleep
13%
Bathroom trips
5%
Pain / health conditions
4%
Stress / racing thoughts
4%
Partner / kids / family
4%
Noise
3%
Pets
2%
Screens / phone
2%
Sleep apnea / snoring
1%

Results by segment

% of each segment raising the theme. The first two columns split respondents by their rating of last night's sleep.

Good sleep
(n=760)
Poor sleep
(n=355)
Female
(n=741)
Male
(n=686)
Under 30
(n=217)
30–55
(n=722)
Over 55
(n=488)
Waking during the...
27%
29%
30%
26%
28%
27%
29%
Trouble falling asleep
9%
20%
12%
13%
13%
12%
13%
Bathroom trips
5%
6%
6%
5%
2%
3%
10%
Pain / health...
2%
9%
5%
3%
3%
3%
6%
Stress / racing...
2%
8%
5%
3%
2%
5%
4%
Partner / kids /...
4%
4%
4%
4%
3%
6%
2%
Noise
2%
4%
2%
3%
4%
2%
3%
Pets
2%
3%
2%
3%
1%
2%
4%
Screens / phone
1%
3%
1%
2%
3%
2%
1%
Sleep apnea / snoring
0%
3%
1%
1%
1%
1%
1%
Good sleep
(n=760)
Poor sleep
(n=355)
Female
(n=741)
Male
(n=686)
Under 30
(n=217)
30–55
(n=722)
Over 55
(n=488)
Waking during the night27%29%30%26%28%27%29%
Trouble falling asleep9%20%12%13%13%12%13%
Bathroom trips5%6%6%5%2%3%10%
Pain / health conditions2%9%5%3%3%3%6%
Stress / racing thoughts2%8%5%3%2%5%4%
Partner / kids / family4%4%4%4%3%6%2%
Noise2%4%2%3%4%2%3%
Pets2%3%2%3%1%2%4%
Screens / phone1%3%1%2%3%2%1%
Sleep apnea / snoring0%3%1%1%1%1%1%

Waking during the night is nearly universal: it was raised by 27% of good sleepers, almost matching poor sleepers (29%). A “good night” in America is rarely an unbroken one; it is one where you get back to sleep. The real dividing lines are trouble falling asleep (more than double among poor sleepers), pain and stress (both roughly four times more common among poor sleepers). The specific culprits change with age, mirroring the deep probe gradient: bathroom trips climb from 2% of under-30s to 10% of over-55s, while family disruptions peak in the 30 to 55 group (6%), the years of fussy babies and school-age kids.

"Last night I slept terribly. I kept waking up because my dog was scared of the rain and was pacing, and I still felt exhausted when I woke up."
"A bad mattress and worry about the state of the country."

The secret of the good sleepers

12% of good sleepers who were asked what made their night restful credited a comfortable bed, pillow or bedding, the single most-cited contributor to a good night.

Asked what made their night restful: Good sleepers described the conditions and habits behind a good night.

% of good sleepers whose interview explored what contributed to their good night (n=461). As the interview was adaptive, the remaining good sleepers' conversations explored other topics instead. Respondents could raise more than one theme.

Comfortable bed / pillow / bedding
12%
Slept through, uninterrupted
9%
Cool, quiet or dark room
7%
Got enough hours
7%
Physically tired / exhausted
6%
Consistent routine / early night
5%
Low stress / relaxed mind
2%

Remaining respondents gave brief answers that restated the outcome rather than a cause (e.g. "I woke up refreshed", "no problems sleeping").

The formula for good sleep is remarkably consistent across every segment: bed and bedding top the list for men (13%) and women (11%) alike, followed by the simple luxury of sleeping through uninterrupted (9%) and a cool, quiet or dark room (7%). When left to describe sleep in their own words, Americans talk about pillows, room temperature and tired bodies, not techniques or technology. The deep probe confirms it from the other direction: sleep aids and medications occupied just 3% of the conversation, bedtime routines 3%, and wearable trackers (Fitbit, Apple Watch, Oura) rounding to 0.1%, a striking counterpoint to the sleep-tech and supplements boom.

The cost of a bad night

25% of poor sleepers who were asked how sleep affects their daily life described the energy toll: feeling drained, sluggish or exhausted the next day.

Asked how sleep affects their daily life: Poor sleepers described the consequences of a bad night.

% of poor sleepers whose interview explored daily-life impact (n=167). As the interview was adaptive, the remaining poor sleepers' conversations stayed on causes and disruptions instead.

Energy / tiredness
25%
Coping mechanisms (coffee, naps)
6%
Little or no impact
5%
Mood / irritability
4%
Focus / productivity
3%

Remaining respondents gave brief or non-specific answers (e.g. "bad", "not great").

Americans experience bad sleep first and foremost as a physical energy deficit: a quarter of poor sleepers asked about daily life described feeling drained, sluggish or exhausted, while mood and focus barely rated a mention and a small group (6%) instead described how they cope, with coffee, tea and naps. A further 5% insisted a bad night has little or no effect on them. But it is younger Americans who dwell on the consequences: the deep probe shows impact on daily life takes up 13% of under-30s’ sleep conversations versus just 4% for over-55s, suggesting the generation raised on wellness content is the most attuned to what sleep costs them. Of the 168 respondents who volunteered how many hours they slept, the median was 7 hours, and 45% reported fewer than 7, below the commonly recommended minimum for adults.

About this study: interviewed by AI

Rather than ticking boxes, each respondent talked to an AI interviewer that adapted its questions to their answers.

How would you describe your last night's sleep?
Not good.
What specifically made it not good for you?
Racing thoughts.
How often do racing thoughts interfere with your sleep, and have you found anything that helps quiet your mind at bedtime?
Often.
A real (anonymised) exchange from the June 2026 wave.

Conversation outputs were categorised into nine sleep topics using Conjointly’s deep probe, and transcripts were further coded into sleep quality, disruption themes, contributors and daily-life impacts etc. This combination of AI moderation and AI-assisted analysis allows open, conversational data to be quantified at the scale of a traditional survey wave.

More data stories