Website for a Massage Studio: Sessions, Prices, Reminders
A practical guide to a massage studio website: sessions grouped by client goal, durations and prices side by side, two reminders, and your own repeat rate.
Also in: Türkçe · Čeština · Deutsch · Русский
Someone looking for a massage usually knows one thing: what hurts, or how they want to feel afterwards. They rarely know deep tissue from Swedish or lymphatic drainage. A massage studio website works when it starts from that one thing and gets the person to a booked time in a few taps.
Below: the first screen, sessions and prices, reminders, and how to measure your regulars without borrowed statistics.
The first screen: three lines and one button
In an eyetracking study by Nielsen Norman Group, users spent about 57% of their page-viewing time above the fold and 74% within the first two screenfuls (NN/g, 2018). That study used desktop monitors. On a phone the first screen is smaller, so the rule gets stricter, not looser.
What belongs there:
- What and where, in plain words. "Massage studio in [your district]: back and neck, relaxation, sports massage." Not "Welcome to an oasis of harmony".
- Three goals as buttons. "My back or neck hurts", "I want to relax", "After training". Each one opens its own short list.
- Durations and one button. "Sessions of 30, 60 or 90 minutes" and "Book online".
The second screen is for trust: a real photo of your room (not stock spa stones), therapists with names, and a few reviews next to the services.
Choose by goal, not from a list of twenty massages
The famous jam study is often quoted wrongly, so here are the actual numbers. At a supermarket tasting booth, 60% of passers-by stopped at a display of 24 jams and 40% at a display of 6. Of those who stopped, about 3% bought with 24 jams and nearly 30% with 6 (Iyengar & Lepper, 2000). One store, two Saturdays.
Later research is more careful. A meta-analysis of 50 experiments (N = 5,036) found an average effect of "virtually zero" (Scheibehenne et al., 2010). A second one, 99 observations and N = 7,202, showed when too much choice does hurt: the decision is difficult, the options are complex, the person is unsure what they want, and they want to decide with little effort (Chernev et al., 2015).
A first-time massage client ticks all four boxes. They cannot try before buying, the names describe techniques instead of results, they are not sure what they need, and they are booking from a phone between other things. So group by goal:
Pain relief (back, neck, shoulders)
- Back and neck massage: 30 or 60 min
- Deep tissue massage: 60 or 90 min
Relax
- Classic relaxing massage: 60 or 90 min
- Hot stones or aromatherapy: 60 or 90 min
Sport
- Sports massage before or after an event: 30 or 60 min
- Recovery massage: 60 min
Keep the full list one link away ("All massages") for regulars who know exactly what they want. People with a clear preference are not the ones confused by a long menu.
One honest line under "Pain relief" helps more than a promise: what the session is for, and when to see a doctor first (a fresh injury, fever, unexplained pain). It filters out wrong bookings and builds trust.
Durations and prices side by side
A client should see minutes and price in one row, without opening every service. A layout like this works:
| Session | 30 min | 60 min | 90 min |
|---|---|---|---|
| Back and neck | your price | your price | — |
| Classic relaxing | — | your price | your price |
| Sports | your price | your price | — |
The table shows the layout only; use your own prices. Add a line under it answering "which length do I need": 30 minutes for one area, 60 for back, neck, shoulders and legs, 90 for the full body without hurry.
There is a known effect worth using here. In a 1992 experiment with two cameras, choices split 50/50. When a more expensive third model was added, the split became 22% / 57% / 21%, and the middle option gained the most (Simonson & Tversky, 1992). These were hypothetical choices by students, so treat it as a direction, not a forecast. If 60 minutes is the session you want most people to take, show 90 minutes next to it.
Keep that table plain and numeric. Decoy-type effects seem to work mainly when options differ only by numbers and much less once photos and descriptions are involved (Frederick et al., 2014).
Two reminders, not one
A massage slot that stays empty cannot be sold later. Reminders are the cheapest protection, and the evidence comes from healthcare appointments.
- A review of 21 studies found that people who were notified attended 67% of the time vs 54% without notification; no-shows were 15% vs 21%. Several notifications worked better than a single one (Robotham et al., 2016).
- A Cochrane review: attendance was 67.8% without a reminder, 78.6% with a text message and 80.3% with a phone call. A text worked as well as a call (Cochrane, 2013).
Two caveats. This is healthcare, not massage studios, and the effect varied a lot between clinics. And if almost nobody misses already, do not expect much: in a Danish trial a fine did not change a non-attendance rate of 5% in either group (Blæhr et al., 2018). Deposits have no controlled evidence at all, so if you try one, test it on your own long evening slots and compare.
Reminder 1, the day before:
Hi [Name], see you tomorrow at [time]: back and neck massage, 60 min, with [therapist]. [Address], bell "[studio name]". Need another time? Move it here: [link]
Reminder 2, a few hours before:
[Name], today at [time]. Wear something comfortable, and tell [therapist] about any pain or injury. If you can't make it, please move the booking here: [link] — someone else can take the slot.
The link matters as much as the text: a client who can move a booking right from the message does it, instead of simply not coming.
Regulars: measure your own repeat rate
You have probably seen "increase retention by 5% and profits rise by 25–95%". Here is what it actually is. Reichheld and Sasser wrote in 1990 that companies can boost profits by almost 100% by retaining 5% more customers (Bain, 1990). The 25–95% range comes from a 2000 article about e-commerce companies (Bain, 2000).
Neither is an experiment. Bain calculated the lifetime value of a customer when yearly customer loss falls by five percentage points, for example from 10% to 5%. That is halving churn, not a small tweak. "Profit" there means the value of an average customer over time, not your yearly profit, and the calculation assumes keeping customers costs nothing. Byron Sharp of the Ehrenberg-Bass Institute called this a thought experiment with no empirical test (Ehrenberg-Bass). And "a new client costs five times more than keeping one" has no traceable study behind it (Ipsos, Loyalty Myths).
Your own number is more useful:
- Take every client who first came in a chosen month of last year.
- Count how many of them came back at least once since.
- Repeat rate = returned clients ÷ all clients of that month.
Then run a one-week check. For every new client this week note three things: where they found you (Google, Instagram, a friend), which session they took, and whether they booked the next visit before leaving. After a week you will see which goal group brings people back and where the next booking is never offered.
Two nearly free habits follow from it: offer the next time while the client is still at the desk, and send a "time to come again" message after the visit. Retention only pays off this well when it is cheap.
How Raka AI helps
We build a website like this for your studio for free: sessions grouped by goal, durations and prices side by side, booking with reminders and a link to move the visit. Leave a request on the massage website page, and we contact you within 24 hours. After a free first month the site costs $14.90 a month. Online booking, the client list (CRM) and the admin panel are included.
Sources
- Nielsen Norman Group, "Scrolling and Attention", 2018: https://www.nngroup.com/articles/scrolling-and-attention/
- Iyengar & Lepper, JPSP, 2000: https://faculty.washington.edu/jdb/345/345%20Articles/Iyengar%20%26%20Lepper%20(2000).pdf
- Scheibehenne, Greifeneder & Todd, JCR, 2010: https://ideas.repec.org/a/oup/jconrs/v37y2010i3p409-425.html
- Chernev, Böckenholt & Goodman, JCP, 2015: https://www.kellogg.northwestern.edu/academics-research/research/detail/2015/when-product-assortment-leads-to-choice-overload-a-conceptual/
- Simonson & Tversky, JMR, 1992: https://cognition.aau.at/bg/BA/Simon%20&%20tversky,%201992.pdf
- Frederick, Lee & Baskin, JMR, 2014: https://marketing.wharton.upenn.edu/wp-content/uploads/2016/10/The-Limits-of-Attraction.pdf
- Robotham et al., BMJ Open, 2016: https://pmc.ncbi.nlm.nih.gov/articles/PMC5093388/
- Gurol-Urganci et al., Cochrane, 2013: https://www.cochrane.org/CD007458/COMMUN_mobile-phone-messaging-reminders-attendance-healthcare-appointments
- Blæhr, Væggemose & Søgaard, BMJ Open, 2018: https://pmc.ncbi.nlm.nih.gov/articles/PMC5988103
- Reichheld & Sasser, "Zero Defections", HBR 1990 (Bain): https://www.bain.com/insights/zero-defections-quality-comes-to-services-harvard-business-review-hbr/
- Reichheld & Schefter, "E-Loyalty", HBR 2000 (Bain): https://www.bain.com/de/insights/e-loyalty-your-secret-weapon-on-the-web/
- Byron Sharp, Ehrenberg-Bass Institute, "Loyalty Myths": https://marketingscience.info/news-and-insights/loyalty-myths
- Keiningham et al., Loyalty Myths (Ipsos excerpt): https://www.ipsos.com/sites/default/files/publication/2003-08/Ipsos_Loyalty_Myth_8_Excerpt.pdf