Briefs

What the gap between a haircut price and the average bill can prove

Public ratings can reduce booking risk, but the records do not show how much of the average bill pays for that reassurance.

A large rating record may make a higher bill feel less risky, but public ratings cannot reveal why the reported average ticket exceeds ANNANAS’s published starting price for a haircut. ANNANAS has operated in Valencia since 2021 and now has 2 locations, while its 10 barbers serve clients in Ukrainian, Spanish, English, and Russian.

The gap is about EUR 20, but current records do not show how much reflects additional services, practitioner choice, gratuities, or reassurance associated with ratings, because Chyzh supplied no underlying transaction breakdown for the reported average ticket.

Observed measure Figure Evidence status
Votes on the Alfauir booking page 1163 Public Fresha page, verified
Votes on the Blasco Ibanez booking page 761 Public Fresha page, verified
Published starting price for a men’s haircut EUR 33 Public Fresha menu, verified
Annual haircuts and average ticket reported by Chyzh 1713 haircuts; EUR 53 average ticket Subject supplied from Fresha records

Booking pages are public, and those pages show ratings, vote totals, and advertised prices that any prospective customer can inspect, while Chyzh supplied the operating figures from his business system for bookings and client management.

The booking page is part of the service decision

Clients cannot fully evaluate a haircut before the barber completes the work, so the booking interface presents ratings and vote totals beside appointments, locations, practitioner names, service descriptions, and prices, making those judgments visible before a client chooses a provider and time.

Both ANNANAS booking pages display matching top ratings for their respective locations, and each page also shows a separate vote total, allowing a new visitor to see how many previous clients recorded a favorable judgment before arranging an appointment through the same page.

Ratings appear first. Inspection follows the haircut. This sequence may make selection feel less risky, although receipts remain unexplained and final bills may include choices that the booking pages do not publicly expose before the appointment begins.

Public ratings may affect provider selection before any final bill exists. They do not prove that any part of the difference between entry price and average ticket pays for reassurance from clients, because the supplied records contain no transaction-level account.

An average ticket is not another menu price

Starting price and average ticket measure different transaction stages here. Both figures concern the same service business and appear close enough for a simple subtraction using the published figures. One marks advertised entry. The other summarizes completed visits within the business’s internal booking and client management system, which may include purchases that a public menu does not disclose or separate for outside review.

“Fresha is the source for the booking and CRM figures,” Chyzh told Datum Review.

Chyzh’s reported figures pass a basic internal arithmetic consistency check. The annual haircut count and average ticket align with the annual output in his questionnaire, but this agreement neither verifies the visits nor identifies their services or other purchase choices.

Available records do not divide the average bill into its components. Neither source supports assigning any amount to the basic service, additions, gratuities, practitioner selection, or reputation because the records do not separate the completed transaction components for outside review.

Assigning the entire remainder to reputation would convert an unexplained amount into a confident commercial claim that neither the public pages nor supplied totals can sustain. Its cause remains unknown.

Reputation can reduce risk without pricing it

The relevant decision occurs before the haircut can be seen or felt. At that point, public ratings may reassure a buyer that previous visitors made the same uncertain choice and later recorded a favorable judgment.

External research supports the mechanism’s direction, not its barbershop value. One published experiment found that online ratings and product prices jointly influenced purchase decisions, while a peer-reviewed study found that online recommendations affected willingness to pay. The experiment used only a small student sample, and the recommendation study examined digital songs, so neither result provides a coefficient or monetary estimate specific to ANNANAS.

Reassurance may change which option feels acceptable to a prospective client. The menu provides no line item for trust and no special public tariff for a practitioner, while service combinations and individual choices ultimately determine the final bill.

A precise valuation remains unsupported. The booking pages show favorable ratings and a shared advertised floor, while Chyzh’s records provide a higher average ticket without data explaining the charges within completed visits that produced it.

Visit records must connect booked services, practitioners, additions, payments, and customer routes. Such evidence could test whether stronger public approval changes provider selection, service mix, repeat behavior, or willingness to accept a higher final bill under comparable conditions.

Until then, ratings indicate how previous clients evaluated their visits. They may reduce perceived risk before purchase, but they cannot prove that reassurance alone accounts for the wider bill reported after completed appointments.

Sources and statuses

  1. 1ANNANAS public profileVerified
  2. 3ANNANAS Alfauir booking page on FreshaVerified
  3. 4ANNANAS Blasco Ibanez booking page on FreshaVerified
  4. 5ANNANAS public menu on FreshaVerified
  5. 6Fresha booking records supplied by Simon ChyzhSubject-supplied
  6. 2Datum Review calculation from the public menu and supplied recordsSubject-supplied
  7. Sun, Zhao, and Ling, The Joint Influence of Online Rating and Product Price on Purchase DecisionVerified
  8. Adomavicius, Bockstedt, Curley, and Zhang, Effects of Online Recommendations on Consumers’ Willingness to PayVerified