Comparison

Dropinly vs SQUIRE.

Both run a barbershop's day-to-day. The real differences are who pays the booking fee, what's gated behind higher tiers, and whether you're on a contract. Here's a straight comparison so you can pick what fits your shop.

Dropinly
SQUIRE
Industry focus
Service businesses broadly — barbers, salons, tattoo, lash/brow, grooming, massage, medspa, mobile.
Built specifically for barbershops; a deep, barbershop-first feature set, per their site.
Client discovery / marketplace
No marketplace. Clients book on your own domain; you are never listed next to competitors.
Offers a consumer client app where users can discover and browse barbershops by location, per their site.
Booking fee on your clients
No per-booking convenience fee charged to your clients.
Per their model, clients are charged a per-booking convenience fee; confirm the current amount on their pricing page.
Pricing structure
Flat published plans; core scheduling features are available without unlocking higher tiers.
Tiered plans where some features sit on higher tiers, per their pricing page.
Waitlist automation
Waitlist cascade auto-fills cancellations on all plans.
Waitlist / walk-in management is described as a higher-tier feature, per their pricing page.
Deposits & no-show fees
Deposits and no-show fees built in.
Offers no-show protection and deposit / card-authorization tools, per their feature pages.
Contract & onboarding
Month-to-month, no contract; self-serve setup, no required sales call.
Public reviews describe a sales-led onboarding process and contract terms; confirm current terms with them directly.
Data import & export
Free import from Square, Acuity, Mindbody, Booksy, Vagaro, Fresha; free CSV + JSON export anytime.
Import / export terms are not clearly published; confirm portability before committing.

Your clients don't pay to book

SQUIRE's model adds a per-booking convenience fee that lands on your clients. Dropinly charges no booking fee to the people you already serve — the price your client sees is the price you set. Confirm SQUIRE's current fee on their pricing page.

No contract, no required sales call

Dropinly is month-to-month and self-serve: import your data, set your hours, take bookings. SQUIRE's onboarding is commonly described in reviews as a sales-led process with contract terms. If you'd rather just start, that matters — and you can confirm current terms with SQUIRE directly.

Waitlist cascade on every plan

When someone cancels, Dropinly's waitlist cascade automatically offers the slot to the next client and fills the gap. On SQUIRE, waitlist and walk-in tools are described as a higher-tier feature, so the safety net depends on your plan.

You can always leave with your data

Dropinly gives free CSV and JSON export of your clients and history, plus free import from the major platforms. SQUIRE doesn't clearly publish export terms — so before you grow on it, confirm you can take your data with you.

When SQUIRE is the better pick

If you run a barbershop and specifically want a barbershop-tuned platform with a consumer app where new clients can discover and book you — and you're comfortable with clients paying a per-booking fee and with a tiered plan plus a sales-led onboarding — SQUIRE is a strong, purpose-built choice.

FAQ

Common questions.

Does SQUIRE charge my clients a fee to book?

Per SQUIRE's publicly described model, clients are charged a per-booking convenience fee. Dropinly charges no per-booking fee to your clients — what you price is what they pay. Always confirm current fees on SQUIRE's pricing page.

Is Dropinly a marketplace like SQUIRE's client app?

No. Dropinly is not a marketplace — clients book on your own domain and you're never ranked against other shops. SQUIRE offers a consumer app where users can discover barbershops by location, which can help with new-client discovery if that's what you want.

Can I move my data between these tools?

Dropinly offers free import from Square, Acuity, Mindbody, Booksy, Vagaro, and Fresha, plus free CSV and JSON export at any time. SQUIRE's import / export terms aren't clearly published, so confirm data portability with them directly before committing.

Sources