Instead of an admin calling 50 clients a day to say 'just a reminder about your visit' (4 hours of work), the system sends SMS 24 and 2 hours before — the client confirms with one word and no-shows drop from 25-30% to 8-10%. For win-back broadcasts, AI writes a personal message for each dormant client: 'Olena, it has been 8 weeks since your last colour — shall I book you in for Wednesday with your regular loyalty discount?'. Conversion is 2-3x higher than 'discount for everyone -15%'.
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Starta.one is an AI CRM for service businesses. It combines online booking, client management, finances, team scheduling, and marketing in one system — configured and operated by AI. Over 1,000 businesses use Starta.
You have 50 appointments tomorrow. The admin must call each one, remind them, get confirmation. If the client did not answer — call back. Each call takes 3-5 minutes (waiting, talking, missed calls). 50 x 4 minutes = 3.3 hours every single day. The admin is not serving guests in the salon, not taking new bookings — just calling. And still 20-30% don't pick up, no-show stays at 25%.
Once a month you send a mass SMS broadcast: '-15% this week'. The effect: 80% of regular clients receive and use the discount on visits they were going to make anyway (margin loss). 20% of dormant clients receive it and ignore it. Conversion to actual new visits — 1-3%. You pay $20-30 for SMS and lose an additional $125-200 in margin on discounts to regulars. Return on the campaign — close to zero.
Olena came in for a manicure every three weeks all year. Eight weeks have passed — she is gone. In your records she is listed as a 'regular', but in practice she has left. Without a system that monitors 'who has gone quiet' and automatically reaches out, she silently drops out of your revenue. Across 200 clients you lose 25-35 dormant clients a year with no active chance to win them back. That is $3,750-6,250 of annual revenue — invisibly.
The system sends an SMS to the client the day before and 2 hours before the appointment: 'Olena, reminder: tomorrow at 14:00 you have a manicure at Sara Beauty. Reply to confirm or cancel.' The client replies with one word — the system updates the status. No-shows drop from 25-30% to 8-10% automatically, without a single call from the admin.
You send SMS not to 'everyone' but to a specific segment: only clients who haven't visited in 60+ days; only those who had a colour service; only VIP clients (top 20% by revenue). Segmentation is automatic based on history — you don't manually compile a list, you don't pay for SMS to regulars who would have come anyway.
Two hours after a completed booking — automatic SMS 'How was your visit today? Rate from 1 to 5'. The client responds with one digit. 1-3-star ratings send a push notification to the admin for immediate follow-up on the complaint. Effortlessly you collect a 30-50% feedback rate instead of the typical 2-5%.
Template: '{name}, reminder: {date} at {time} you have a {service} at {salon}. Reply yes to confirm or no to cancel.' Populated automatically on send. The client sees a personal SMS, not a nameless template — confirmation conversion is 2-3x higher.
Instead of a generic '-15% for everyone', AI reviews each dormant client's history and writes: 'Olena, it has been 8 weeks since your last colour — shall I book you in for Wednesday at 17:00 with Masha, your regular loyalty discount applies'; 'Sergei, 6 weeks since your last cut, your favourite Saturday 10:00 slot is free — shall I reserve it?'. Conversion of such personal SMS to a visit: 18-25% vs 2-3% for template broadcasts.
AI knows when each client usually reads their SMS ('Olena opens at 19:30, Sergei at 08:00') and sends each message at their time. AI also A/B tests copy variants ('book for Wednesday' vs 'there is a free slot on Wednesday') and optimises conversion per segment. Broadcasts stop being a spam campaign and become individual communication.
Choose when to remind (24 and 2 hours before — the standard), and which copy to use (template with personalization {name}, {time}, {service}). Ready-made templates for typical businesses are already included — copy and adapt.
Every new booking — the system automatically schedules two SMS messages (24 hrs and 2 hrs before). The client receives them and replies with one word — status is updated. The admin sees a confirmation feed: '12 confirmed, 2 cancelled for tomorrow.' Instead of 4 hours of calls — 5 minutes reviewing status.
Once a week — auto-broadcast to the 'not visited in 60+ days' segment. AI writes a personal SMS for each one. Conversion to a new booking: 18-25%. With 30 dormant clients that is 5-7 returns per week = an extra $625/month in margin with no discounts to regulars.
The most common alternatives to SMS reminders are either 'admin calls clients', a Telegram bot via a channel, or WhatsApp Business. Here is why SMS remains the most effective channel for service businesses:
With 50 bookings a day — 3-4 hours of admin time that could be spent with guests. 20-30% don't answer the phone. Friction like 'oh, I didn't know you would call'. Errors in relaying appointment times. The cost of an admin doing the calling comes to $200-300/month — more than the full SMS broadcast budget ($37.50-50/month) with worse results.
A Telegram bot is great for those who use Telegram. In service businesses (especially for clients aged 35+) Telegram has 30-50% coverage. The bot won't reach the other 50-70%. On top of that, to receive reminders the client must add the bot — an extra barrier (10-20% won't bother). SMS reaches almost every active number with no action required from the client. Telegram is an additional channel for those who prefer it, but not a replacement for SMS.
WhatsApp Business works, but comes with strict Meta restrictions: approved templates (waiting days for approval), high costs ($0.05-0.15 per message vs $0.02-0.04 for SMS), message categories (transactional vs marketing — different restrictions), and the risk of account suspension for 'inappropriate' use. SMS is a universal channel without a middleman dependent on one company's policies. WhatsApp is an additional channel for global clients, but not the primary one for a service business.
AI will analyse your business in 5 minutes and show you: your typical no-show rate and how many extra visits auto-reminders will deliver, how many dormant clients have silently dropped out of your revenue right now, and the potential of AI-personalised win-back broadcasts.
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SMS reminder functionality is included in Starta.one Pro — no extra charge from us. The cost of the SMS messages themselves depends on volume and carrier (typically $0.02-0.04 per message). With 200 bookings/month that is $4-8 in SMS costs vs the typical +30-40 extra visits from reduced no-shows — ROI of roughly 10-15x.
The cost of SMS depends on the recipient's country. Estimated minimum prices on the Pro plan:
🎁 With the Pro plan — 100 SMS as a gift every month. This is enough for ~50 typical appointment reminders.
View rates →Yes. The default settings are 24 hours and 2 hours before the visit (optimal for salons). You can configure your own scheme: 1 hour before, 3 days + 1 day, or 2 hours only. You can set a different scheme for different service types (earlier for expensive treatments, later for quick ones). Everything is configured in the templates.
From Starta.one's side — no limits. The number of SMS messages depends on your balance: you top up your SMS balance via standard payment and can send as many as you need. Real-time cost control — you can see how many SMS were sent today / this week / this month, what they cost, and how much balance remains.
AI does two things: 1) Personal copy for each client — instead of a generic '-15% for everyone', AI reviews each dormant client's history and writes an individual SMS ('Olena, it has been 8 weeks since your last colour — shall I book you in for Wednesday at 17:00 with Masha?'). Conversion of these personal SMS to a visit: 18-25% vs 2-3% for template broadcasts; 2) Send-time optimisation — AI knows when each client usually reads their SMS and sends at their time. It A/B tests copy variants and optimises per segment. Broadcasts stop being a spam campaign — they become individual communication.