16 Retail Atmosphere Statistics Every Store Owner Should Know Before Changing the Music
Retail atmosphere is often discussed with vague claims about making shoppers feel better or stay longer. We read the original field research on nature sounds and background music, the latest ACSI retail customer experience study, and NIOSH workplace noise guidance to make the evidence more useful.
The important pattern is that these sources measure different outcomes. Some measure willingness to buy, some measure actual spending, some measure time in the store, and others measure satisfaction or how customers describe the experience. The results are interesting precisely because they do not support one universal rule that music always increases sales.
Use the findings below as a source-backed list of hypotheses to test in a specific store. Do not turn an intention measure into a sales claim, or a small field experiment into a benchmark for every retail format.
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- Nature sounds increased willingness to buy organic food in one male subgroup
- The nature-sound study measured purchase intention, not completed purchases
- Music increased reported time in store by about 54 percent in a 150-person electronics study
- The electronics study also found higher reported spending, but its raw values are not a portable sales benchmark
- The electronics music condition did not create a universal improvement in mood or approach behavior
- In a 400-person supermarket study, both music conditions spent more than no music
- The supermarket no-music condition scored better on enjoyment and time experience
- Retail context can change the direction of an atmosphere result
- The music evidence included 550 shoppers across two real stores, not one universal sales average
- Gender moderated several music outcomes, but the studies do not justify demographic targeting
- ACSI gives customer-experience benchmarks for store execution, not a music effect
- Atmosphere research needs separate denominators for intention, spending, dwell, and satisfaction
- A local music test should include a no-music control and matched operating conditions
- Report the atmosphere result as incremental lift, not as a playlist opinion
- Sound level is a worker-safety constraint before it is a customer-experience variable
- The evidence supports testing retail atmosphere, not assuming that music always works
- Sources
Nature sounds increased willingness to buy organic food in one male subgroup
A 2016 field experiment tested nature sounds in a Swedish supermarket in Lund. The study observed 627 customers over 12 days in a 2 x 3 between-subject design. The sound condition was either no sound or nature sounds, including birdsong. The information condition presented an organic message, a climate-friendly message, or a control condition.
The clearest result was conditional: nature sounds directly increased willingness to buy organic food among men who began with relatively low purchase intentions. This is a useful result for an atmosphere article because it identifies the stimulus, the store context, the outcome, and the subgroup. It is not evidence that birdsong increases sales for all customers or all products.
The nature-sound study measured purchase intention, not completed purchases
The study measured stated willingness to buy organic and climate-friendly food, along with mood and connectedness to nature. It did not use point-of-sale data to report transactions, revenue, average basket, or conversion. The result should therefore be described as a change in purchase intention, not as a sales lift.
The researchers also found no supported indirect effect through mood or connectedness to nature. Sustainability information moderated some relationships between connectedness to nature and willingness to buy in specific groups, but that does not establish a simple chain from sound to mood to purchase. A retailer would need a separate experiment with transaction data to answer that question.
Music increased reported time in store by about 54 percent in a 150-person electronics study
The first study in a 2012 two-study field experiment took place in a Swedish home electronics store during four days in mid-December, shortly before Christmas. The sample included 150 consumers. The store played popular music adapted for the Christmas period on music days and played no background music on control days. The music volume was held constant on the music days.
The paper reported mean time-in-store values of 22.87 with music and 14.82 without music. The raw difference implies about 54 percent more reported time relative to the no-music condition. The time result was statistically significant, F(1,147) = 16.018, p < 0.001. This is a within-study comparison, not a general claim that every playlist will increase dwell time by 54 percent.
The electronics study also found higher reported spending, but its raw values are not a portable sales benchmark
The same field study reported actual spending values of 2,079 with music and 1,169 without music. The raw values imply about 78 percent more reported spending in the music condition, and the difference was statistically significant, F(1,149) = 11.977, p = 0.001.
The result is interesting because it uses actual spending rather than willingness to buy. It still needs careful handling. The result passage reports the raw values without a currency label that can be used as a current benchmark, and the experiment covered one Swedish electronics store during a holiday shopping period. The defensible conclusion is that the study detected a spending difference under those conditions, not that a retailer should forecast a 78 percent revenue increase.
The electronics music condition did not create a universal improvement in mood or approach behavior
Music had no significant main effect on pleasure or arousal in the electronics study. It also had no significant main effect on general approach or avoidance behavior, enjoyment, time experience, contact, or purchase experience. In other words, the spending and time results did not come with a simple overall improvement in every self-reported experience measure.
The study did find interactions with gender. For example, on the arousal scale, women scored 3.08 without music versus 2.58 with music, while men scored 1.96 without music versus 2.50 with music. General approach also interacted with music and gender, F(1,149) = 5.986, p = 0.01. Among women, the mean approach score was 7.63 without music and 6.99 with music. Among men, it was 6.67 without music and 7.28 with music. These are scale scores from one field study, not universal customer segments.
In a 400-person supermarket study, both music conditions spent more than no music
The second study used 400 consumers in a large Swedish supermarket during a regular shopping season. It compared no music with slow-tempo music at 60 beats per minute and fast-tempo music at 96 beats per minute. The same familiar adult contemporary genre and the same volume were used in both music conditions. The researchers selected three days they considered similar in sales and customer groups.
Actual spending differed by music condition, F(2,408) = 3.018, p = 0.05. A follow-up comparison found that spending was significantly lower in the no-music condition than in both the slow- and fast-tempo conditions. The study did not report a universal percentage lift. That distinction matters: a statistically detectable difference is not the same thing as a transferable revenue forecast.
The supermarket no-music condition scored better on enjoyment and time experience
The supermarket results complicate the idea that higher spending always means a better customer experience. General approach was higher without music than with slow music, F(2,396) = 3.352, p = 0.03. Enjoyment was lower in both music conditions than in the no-music condition, F(2,396) = 4.217, p = 0.01. Time experience was also higher without music than with either music condition, F(2,396) = 6.476, p = 0.002.
This creates a valuable measurement warning. The condition associated with higher spending was not the condition that scored highest on enjoyment, approach, or time experience. A retailer that tracks only revenue could miss a deterioration in how customers describe the visit. A retailer that tracks only satisfaction could miss a short-term purchase effect.
Retail context can change the direction of an atmosphere result
The two music studies were conducted in different shopping contexts. The first was a home electronics store in the run-up to Christmas, when shopping could include gift discovery and inspiration. The second was a large supermarket during a regular shopping period, where the activity was more utilitarian. The authors specifically discuss this difference when interpreting why the results may not transfer cleanly from one store type to the other.
This is why a retail atmosphere article should not combine every music result into one average. A playlist that changes behavior in a gift-oriented electronics store may not produce the same response in a grocery store, pharmacy, apparel store, or convenience store. Store mission, customer urgency, product involvement, daypart, and seasonal context all belong in the local test design.
The music evidence included 550 shoppers across two real stores, not one universal sales average
The full music paper combined two field studies with 550 consumers during regular store opening hours. The table below keeps the study designs separate so that the outcome and limitation remain visible.
| Study | Sample | Store and context | Stimulus | Comparator | Outcome | Main result | Moderator | Main limitation |
| Nature-sound experiment | 627 customers | Swedish supermarket in Lund; 12 days | No sound or nature sounds, including birdsong; organic, climate-friendly, or control information | Factorial control conditions | Willingness to buy organic and climate-friendly food; mood; connectedness to nature | Nature sounds directly increased willingness to buy organic food in men with relatively low initial intentions | Initial intention, gender, connectedness to nature, and information condition | Stated intention rather than completed purchase; one supermarket |
| Music study I | 150 consumers | Swedish home electronics store; four days before Christmas | Popular Christmas-adapted music at constant volume | No music | Time in store; actual spending; approach and avoidance scales; pleasure and arousal | Time and reported spending were higher with music; general experience effects were not uniformly positive | Gender interacted with arousal and approach measures | One store, short holiday period, and raw spending values are not a portable currency benchmark |
| Music study II | 400 consumers | Large Swedish supermarket; regular shopping season; three similar days | No music, slow music at 60 BPM, or fast music at 96 BPM | No music and alternate tempo conditions | Time in store; actual spending; approach; enjoyment; time experience; pleasure and arousal | Both music conditions spent more than no music, while no music scored higher on several experience measures | Gender interacted with arousal; store context differed from study I | Day-level field conditions and one supermarket limit generalization |
Gender moderated several music outcomes, but the studies do not justify demographic targeting
The music paper found that gender changed the direction or strength of several responses. In the electronics study, women reported higher approach, enjoyment, contact, and purchase-experience scores than men in the no-music condition, while men scored higher than women on those measures in the music condition. In the supermarket study, the music by gender interaction for arousal was significant, F = 3.281, p = 0.039, with the largest difference linked to male responses in the slow-tempo condition.
The paper summarized the pattern as women responding more positively to no music or slow music and men responding more positively to music or fast music. That is a hypothesis for replication, not a reason to assign playlists based on assumptions about a customer category. A modern test should measure the store's actual audience and report whether the interaction remains after accounting for product, daypart, season, and shopping mission.
ACSI gives customer-experience benchmarks for store execution, not a music effect
The 2026 ACSI retail report is useful for a different reason. It is a large customer perception study based on 31,293 completed surveys from January through December 2025. It does not randomly assign music or isolate lighting, layout, or sound. Instead, it provides a benchmark for how customers rate different parts of retail execution.
In the specialty retail results, customers rated ease of pickup at 87, order accuracy at 86, mobile quality, reliability, and website at 85, and store hours, layout and cleanliness, and order readiness at 84. Courtesy and helpfulness of staff scored 83, merchandise availability 82, and promotions 77. These are satisfaction or attribute-perception scores on the ACSI scale. They should not be presented as evidence that a particular atmosphere treatment caused a higher score.
Atmosphere research needs separate denominators for intention, spending, dwell, and satisfaction
The studies use different measures, and the measures answer different questions. A 10-point approach score cannot be compared directly with an ACSI score out of 100. A customer saying they intend to buy is not equivalent to a completed transaction. Time in store is not the same as profitable dwell if the customer is waiting, confused, or unable to find a product.
| Measure | What it answers | Recommended denominator |
| Willingness to buy | Did stated purchase intention change? | Survey respondents in the tested condition |
| Actual spending | Did customers who purchased spend more? | Purchasing customers or store-day sales, stated explicitly |
| Conversion | Did more entrants transact? | Transactions / store entrants |
| Average basket | Did each transaction become larger? | Sales / transactions |
| Dwell time | Did customers spend more time in the store? | Total visitor minutes / visitors |
| Satisfaction or enjoyment | How did customers describe the visit? | Completed survey responses and scale definition |
| Sales per visitor | Did the store generate more sales from each entrant? | Sales / store entrants |
The article's strongest insight is therefore methodological: every headline needs the outcome next to it. "Music increased spending" is incomplete without the store, condition, time period, sample, and comparison. "Nature sounds increased willingness to buy organic food" is accurate only when the subgroup and intention outcome remain visible.
A local music test should include a no-music control and matched operating conditions
The original studies support testing, not copying. A store could compare a no-music control with the current playlist, a slower playlist, a faster playlist, or a nature-sound condition when that fits the brand. The conditions should be assigned across matched dayparts and days, with promotions, prices, staffing, opening hours, and major operational disruptions recorded.
The primary outcome should be chosen before the test begins. For a sales question, use sales per visitor or gross profit per visitor rather than relying on a survey mood score. Add conversion, average basket, units per transaction, dwell time, customer satisfaction, and staff feedback as secondary measures. Run enough matched periods to avoid treating one busy Saturday or one holiday event as a causal result.
Report the atmosphere result as incremental lift, not as a playlist opinion
The basic calculations should make the outcome auditable:
- Conversion rate = transactions / entrants.
- Average basket = sales / transactions.
- Sales per visitor = sales / entrants.
- Dwell time = total in-store minutes / visitors.
- Incremental lift = (treatment metric - control metric) / control metric.
- Net contribution = incremental gross profit - licensing, equipment, and implementation costs.
Report the number of observations, the tested hours, the treatment and control definitions, and the uncertainty around the estimate. Break results out by store and daypart first. If demographic or customer-type differences are analyzed, show the sample size and treat them as exploratory unless the test was designed to detect the interaction.
Sound level is a worker-safety constraint before it is a customer-experience variable
NIOSH states that loudness, exposure duration, and exposure frequency all affect hearing risk. Its recommended exposure limit is 85 A-weighted decibels averaged over an eight-hour workday. NIOSH also describes a 3 dB exchange rate: as sound level increases by 3 dB, the recommended exposure duration is cut in half.
This is not a recommended retail music target or a claim about the best customer volume. It is a safety boundary to consider when employees spend an entire shift in the environment. A sound test should measure the actual level at staff workstations, check whether employees can communicate normally, and follow applicable workplace safety requirements rather than relying on customer preference alone.
The evidence supports testing retail atmosphere, not assuming that music always works
The most useful facts are not a single universal sales percentage. Nature sounds changed willingness to buy organic food in a specific subgroup in one supermarket experiment. Music increased reported time and spending in a holiday electronics study and produced higher spending than no music in a supermarket study, but it also reduced enjoyment and time experience in that supermarket comparison. ACSI shows that customers notice practical execution factors such as layout, cleanliness, staff helpfulness, and merchandise availability, but it does not isolate music as a cause.
For a store owner, the actionable conclusion is simple: define the outcome, keep a no-music or alternative control, measure actual transactions and customer experience separately, protect employee hearing, and publish the local result with its context. That produces a useful benchmark other retailers can trust instead of another vague claim about atmosphere.
Sources