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Research & insights

The science of sound in business

Behind every station and schedule there's research. Tempo, volume and brand fit change how long people stay, what they buy and how they feel about your brand. Here's the evidence, and the sound strategies built on it.

  • 38%higher supermarket sales on slow-tempo days than fast-tempo daysMilliman, Journal of Marketing (1982)
  • 5:1French wine outsold German when French music playedNorth, Hargreaves & McKendrick, Nature (1997)
  • +11 minlonger at the table when restaurants played slower musicMilliman, Journal of Consumer Research (1986)
  • 84%† (illustrative placeholder)of customers notice when a brand's music doesn't fit
Sound strategies

Pick a goal. Get the strategy.

Every business wants something different from its music. Choose an outcome to see the psychology behind it, the evidence, and how to put it to work in SoundMachine.

Sound strategy · Tempo

Slow the tempo, slow the pace

People unconsciously match their movement to the beat. Slower music means slower browsing, and more time in front of products.

38%higher daily sales on slow-tempo days than fast-tempo daysMilliman (1982), supermarket field study · verify before launch
  • +11 minaverage dining time with slow vs fast musicMilliman (1986)
  • +17%† (illustrative placeholder)dwell time in fashion retail with on-brand slow sets

Do it with SoundMachine

  • Schedule 60–90 BPM stations for quieter trading hours
  • Use the energy slider to keep mixes on the mellow side
  • Avoid sudden tempo jumps between songs
Schedules

† Illustrative placeholder figure for this preview. Replace it with SoundMachine customer data or a sourced statistic before launch. Cited academic figures are as widely reported and should be checked against the original papers.

Music lever lab

Four levers that shape behaviour

Move the sliders to see how tempo, volume, brand fit and familiarity push customer behaviour in different directions, and why "just put the radio on" leaves results to chance.

Try:

Directional effect vs no music

  • Time spent+0%
  • Spend per visit+0%
  • Pace & turnover+0%
  • Perceived wait+0%

Illustrative model only. It reflects the direction of published findings on tempo, volume, congruence and familiarity, not a forecast for your business.

Energy curves

The shape of a great day, by industry

The right tempo changes through the day. These are example target curves you can build with SoundMachine schedules, from a gentle breakfast to a high-energy evening peak.

608010012014006:0009:0012:0015:0018:0021:0000:00BPM
  1. 08:00Breakfast: acoustic, mellow
  2. 12:00Lunch rush: upbeat to turn tables
  3. 15:00Afternoon lull: soft soul
  4. 19:00Dinner: warm, mid-tempo
  5. 22:00Late: lounge, low volume
  • +11 mindining time with slower musicMilliman (1986)
  • +18%† (illustrative placeholder)dessert and drinks attach rate in the evening

Curves are illustrative examples, not prescriptions. † marks placeholder figures.

Studies

The research behind the strategies

Landmark studies in music and consumer behaviour, plus customer studies from SoundMachine locations.

  • Academic

    Tempo and supermarket shoppers

    One US supermarket, nine weeks, slow vs fast vs no music

    38%higher daily sales, slow vs fast tempo

    Shoppers moved more slowly and sales were higher on slow-tempo days than on fast-tempo days.

    Milliman, R. E. (1982). Using background music to affect the behavior of supermarket shoppers. Journal of Marketing, 46(3), 86–91.

  • Academic

    Music tempo in restaurants

    A US restaurant, alternating slow and fast music

    +11 minaverage time at the table

    Diners stayed longer and spent more at the bar when the music was slower.

    Milliman, R. E. (1986). The influence of background music on the behavior of restaurant patrons. Journal of Consumer Research, 13(2), 286–289.

  • Academic

    In-store music and wine choice

    A UK supermarket wine aisle, French vs German music on alternate days

    5:1French to German bottles with French music

    Wine sales followed the music's nationality, and few shoppers noticed any influence.

    North, A. C., Hargreaves, D. J., & McKendrick, J. (1997). In-store music affects product choice. Nature, 390, 132.

  • Academic

    Classical music in a wine store

    A US wine cellar, classical vs Top 40 music

    Pricierwines chosen when classical music played

    Customers chose more expensive wines when classical music was playing.

    Areni, C. S., & Kim, D. (1993). The influence of background music on shopping behavior: classical versus top-forty music in a wine store. Advances in Consumer Research, 20, 336–340.

  • SoundMachine customer study

    Boutique fashion group

    12 stores, 10 weeks, random playlist vs scheduled brand mix

    +14%† (illustrative placeholder)conversion rate

    Scheduled, on-brand mixes increased time in store and conversion.

    Customer study in preparation. Figures are placeholders.

  • SoundMachine customer study

    Coffee chain

    40 cafés, daypart schedules vs a single all-day station

    +9%† (illustrative placeholder)afternoon average spend

    Daypart schedules improved morning throughput and afternoon dwell.

    Customer study in preparation. Figures are placeholders.

Our method

How we use research

SoundMachine's curators build stations around how music works in real spaces: tempo, energy, familiarity, lyrical content and brand fit. Schedules then match those qualities to your trading day, so the right sound plays at the right moment, automatically.

  • CurateStations programmed for energy, tempo and mood, not just genre.
  • MatchBrand-fit mixes and imported playlists reflect your identity.
  • ScheduleDayparts shift energy as your customers and goals change.
  • RefineLike, dislike and rotate to keep the sound fresh for staff and guests.

Put the research to work.

Start a free trial and build your first sound strategy in minutes.