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Solution example · For salons, studios, schools and local services

Fuller schedules, fewer no-shows, clients who come back.

Beauty salons, fitness and yoga studios, schools and courses, car services, cleaning: bookings, staff and room utilisation, memberships and client sources — on one screen for the owner and the front desk.

Service businessesDesign: Classic
Bookings1,2409.2%
Utilisation78%4.5 pp
No-shows6.4%1.8 pp
Returning clients61%3.1 pp
Daily bookings (weekends visible)This periodPrevious period

ExplainedSaturday runs at 96% capacity, Tuesday at just 58%. A weekday offer could even out the week without extra ad spend.

Sources
AltegioКаса / ПРРОInstagramGoogle Maps
Why don’t clients come back after the first visit?
AI agent61% of clients return, but only 22% of newcomers from the Instagram promo do. Clients who got a follow-up offer after the visit return 2.4× more often. Recommendation: an automatic reminder after 3 weeks for every new client.
DATUMPANEL· TelegramnowTomorrow’s scheduleFree slots: 14 (Tue, 10:00–13:00)⚠ 5 bookings at no-show risk
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01Call30 min
02Accessread-only
03First versionyour data
04Supportweekly

Service businesses

Sound familiar?

  1. 01

    Weekdays half-empty, weekends overbooked

    Without a weekly heatmap you can’t see which hours to discount and where to raise prices.

  2. 02

    Clients come once and vanish

    Ads bring newcomers, but nobody tracks how many become regulars.

  3. 03

    Memberships quietly expire

    You learn a client didn’t renew a month later, when it’s too late to win them back.

Solution example

What the dashboard shows

A starting set of metrics for this industry. We finalise the list during the audit.

Utilisation
staff, rooms and chairs — hourly heatmap
No-shows & cancellations
rate, lost revenue, tomorrow’s risk
Client return rate
second visit within 30/60 days, by source
Memberships
active, expiring, renewals
Average ticket & upsells
by service and staff member
Sources & cost per client
Instagram, Google Maps, referrals

Solution example

Who gets what

  • Owner

    «Which staff member brings back the most clients?»

    A staff ranking: revenue, average ticket and share of return visits.

  • Front desk

    «Who needs a reminder, and whose membership is expiring?»

    Every morning in Telegram: no-show-risk bookings and memberships expiring this week.

  • Marketer

    «Which promo brought clients who stayed?»

    New-client cohorts by source and promo, with return visits.

Workspace sections you’ll use here

  • Overview

    Headline KPIs compared with the previous period, plus trends.

  • Analytics showcase

    Sales, plan vs actual and 20+ chart types: cohorts, heatmaps, treemaps, waterfalls, maps.

  • Site analytics

    GA4: channels, pages, devices, a geo map, CTA clicks, site search and form funnels.

  • Search analytics

    Google Search Console: clicks, impressions, CTR and position by query, page and device.

  • AI assistant

    Answers questions about your metrics and explains changes in plain language.

  • Automated reports

    Regular digests in Telegram: daily, weekly or on your own schedule.

Scenario

A yoga studio with 3 rooms

Before

Schedule in Google Sheets, payments at the till, memberships in the front-desk notebook. Non-renewals were counted once a quarter.

After

The heatmap exposed empty Tuesday and Thursday mornings, and the daily digest lists expiring memberships. The front desk now messages clients 5 days before expiry.

Result

Typical effect: +8–12 pp renewals and dead hours filled with morning classes.

A generalised scenario based on typical projects; impact depends on your data.

Sample AI-agent insight

«Why don’t clients come back after the first visit?»

61% of clients return, but only 22% of newcomers from the Instagram promo do. Clients who got a follow-up offer after the visit return 2.4× more often. Recommendation: an automatic reminder after 3 weeks for every new client.

Sample Telegram report

Tomorrow’s schedule

Free slots: 14 (Tue, 10:00–13:00)

⚠ 5 bookings at no-show risk

Typical sources:

  • Altegio / Dikidi
  • Checkbox ПРРО
  • Google Sheets
  • Instagram
  • Google Business Profile
  • Meta Ads

Plans

Three ways to get started

Start with a micro-dashboard on your spreadsheets, a ready-made template for this industry, or analytics built entirely around your processes.

01Timeline: 1–2 weeks

Lowest-cost start

Micro-dashboard

A static report from your existing data and spreadsheets (Excel, Google Sheets, CSV or a database) — hosted on GitHub Pages or Vercel. A strong fit for entrepreneurs, sole traders and individuals.

  • Excel, CSV or Google Sheets as input
  • 1–3 screens with key charts
  • Static hosting — near-zero running cost
  • Updates on request or on a schedule
02Timeline: 2–4 weeks

Ready-made dashboard

A proven template for your industry, connected to your own data.

  • The key metrics for your industry
  • Plain-language notes on every metric
  • Reports in Telegram
  • Six designs to choose from
03Timeline: 4–8 weeks

Done-for-you analytics

Reports, models and ongoing support built around your questions.

  • Data and metrics audit
  • Any source or API
  • An AI agent trained on your data
  • Regular insights from an analyst

FAQ

The short version

Can you connect Altegio, Booksy, Mindbody or our own CRM?

Yes, via API or export. If yours isn’t on my list, I’ll scope the integration on the first call.

Will front-desk staff see the financials?

Only if you want them to: page access is configured per user.

We have several locations or rooms — is that covered?

Yes: plan vs actual, utilisation and revenue per location, room or staff member.

Read more on the blog

All blog articles →

Let’s see how many schedule hours you lose every week.

A short call, and I’ll walk you through a studio or salon dashboard.

Or reach me directly:

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