Number of employees
License duration
8.99€6.29€ /month
75.52€ per 12 Months
Starta.one
Not a 'general monthly report' but specific dashboards for service businesses: chair/staff utilization as % of working hours, retention rate (how many clients returned in 30/60/90 days), margin per staff member after salaries, acquisition channel effectiveness. All live, all automatic, all one click — no Excel, no accountant, no waiting weeks. AI also tells you every morning what to look at today.
Free plan forever · no credit card · first dashboard opens instantly
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.
Want to evaluate a staff member — you start counting in Excel: open the log, see how many slots there were, how many are filled, subtract breaks, add overtime. 30 minutes per one staff member. For a team of 5 — 2.5 hours. For a quarter — you forget. The decision 'add a staff member or cut the schedule' is made by guesswork, because there’s no real utilization picture.
Marketing brought 50 new clients in a month — you count it as 'success.' But after 60 days only 8 return. That’s 16% retention. Ideally 35–40%. Where do you find that number? Nowhere, if your records simply log visits without cohort analysis. You endlessly invest in new clients who don’t stick — and don’t notice that the leak isn’t in marketing but in retention.
Average ticket this month is $21.25 — 12% more than last month. 'Great.' But net profit is 8% less than last month. Where’s the gap? Maybe salaries grew, maybe materials got pricier, maybe discounts ate the margin, maybe the acquisition channel got more expensive. Without decomposition by each factor you only see 'overall worse,' with no way to pinpoint the cause and fix it.
Masha worked 40 hours last week. Of those, 31 hours were occupied by clients, 9 hours were idle time. Utilization 77.5%. You see it per staff member, per branch, per day of the week. You can see who has 'gaps in the schedule' (needs marketing or a push) and who has a queue (needs a price increase or an additional staff member).
How many of those who came in January returned within 30 days (indicator: 'satisfied with first visit'), within 60 days (indicator: 'turning into a habit'), within 90 (indicator: 'becoming a regular'). You see that retention drops in the May cohort — so something changed in May (new staff member? new marketing?). A hypothesis, not a 'seems like.'
Masha brought $2,000 in revenue. Her salary is $875, materials from tech cards $450. Masha’s margin = $675. Sashko — $1,500 revenue, $550 salary, $300 materials = $650 margin. You see that Sashko with less revenue delivers almost the same margin — because he’s more efficient. The basis for decisions on bonuses, percentages, schedules.
Bubble chart: coloring — lots of revenue (big bubble), low margin (low). Haircut — less revenue (medium bubble), high margin (high). You see what to push in marketing. Once a quarter you review and remove 'trendy' services that actually don’t deliver.
Push at 8:00: 'retention of the May cohort dropped to 12% (usual 22%) — worth checking what changed May 1–7'; 'margin on coloring dropped 6% over the week — actual materials +12% from tech card'; 'Sashko: utilization dropped from 78% to 62% over 14 days — time to talk?'. Not 'check reports' — specific points of attention.
AI knows typical metrics for beauty salons, barbershops, nail studios, clinics. In your dashboard: 'utilization 65% (barbershop median 72% — below); retention 30 days 48% (median 35% — good); margin on haircut 62% (median 58% — normal)'. You see where you stand relative to the market — not 'we have 65%, is that good or bad, I don’t know.'
Everything you do in Starta.one (bookings, orders, payments, salary accruals, material write-offs) automatically becomes the basis for analytics. You don’t need to 'enter separately for reports' — the system counts it itself.
'Analytics' menu → choose a dashboard (utilization, retention, margin, services, channels). Period — day/week/month/quarter/year. Branch, staff member, service — filters. Opens instantly, no 'please wait, generating.'
Instead of opening 5 dashboards every morning — AI does the morning briefing and pushes: '3 points of attention today: May retention dropped, coloring has low margin, Sashko utilization is falling.' You open only the dashboards where AI found an anomaly — saving 30–40 minutes every morning.
The most common alternatives to integrated dashboards are Excel with pivot tables, expensive BI tools like Power BI/Tableau, or 'the accountant will send a report on Friday.' Here’s why these don’t work for service businesses:
Works while data is small and someone updates it weekly. In reality: nobody updates it. Staff utilization — a formula that breaks when a new service type is added. Retention by cohorts — a separate sheet that must be maintained manually (nobody does). Margin per staff member — requires data from 4 sources (revenue, salary, materials, overhead) that must be merged manually. After 2–3 months the Excel dashboard shows stale data — and you make decisions by guesswork.
Universal BI systems that require an analyst at $1,500+/month, 2–3 months of setup, integration with your CRM/cash register/warehouse (usually via daily CSV export — yet another manual task). The result: dashboards exist, but 'staff utilization,' 'retention by cohorts,' 'margin per staff member' — these aren’t out-of-the-box, you need to program queries. For businesses under 50 employees, BI = overkill costing one extra salary.
The accountant’s report is a P&L with categories (income, expenses, profit) on the 5th–10th of the NEXT month. Decomposition by staff member, retention, utilization is NOT there — that’s not their job, they don’t have this data in their accounting software. You get 'September +$750' but not 'where exactly is the gap' and 'what to do about it.' A reporting tool, not a management tool.
AI will analyze your business in 5 minutes and show: what your real utilization and retention rate are, how you compare to industry benchmarks, in which 3 areas you can add 8–15% to your margin within a month.
Access to StartaAI
Extended access to StartaAI
14 days free • No card required • We'll transfer your data from another CRM
Basic analytics (total revenue, number of bookings, average ticket) is available in the free Starta.one Lite. Advanced dashboards (utilization, retention by cohorts, margin per staff member, AI insights, industry benchmarks) — in Starta.one Pro.
No. If you manage bookings, orders, salary accruals, and material write-offs in Starta.one — reports are generated automatically and always up to date. No manual entries, no CSV exports, no 'send me the data by Friday.'
Yes. Any report can be filtered by branch, period (day/week/month/quarter/year), staff member, service, acquisition channel. One tap — comparison of two periods in delta percentages and money. You can configure custom summaries for your specific needs.
AI does two things for your analytics: 1) **Morning briefing** — every morning it checks all key metrics and pushes 2–4 points of attention: 'retention of the May cohort dropped to 12% (usual 22%)'; 'margin on coloring -6% over the week — actual materials +12%'; 'Sashko utilization dropped from 78% to 62%.' Not 'check 5 reports yourself' — specific points of attention; 2) **Comparison with industry benchmarks** — each of your metrics is compared to the median of your niche ('your retention 22%, barbershop median 35% — below, here are 3 reasons'). That’s context, not just numbers.