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Starta.one
Not 'a blanket 10% discount' but tracking every channel and partner: 'influencer Olya brought 24 clients, generating $450 in revenue and $155 in margin after the discount' — use this to decide who to work with next. A separate code for Instagram, a Telegram channel, Google Ads, each partner. AI tells you which promotion types actually bring clients in your niche and which ones eat into margin without return.
Free plan forever · no credit card · first promo code created in 1 minute
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.
On Monday you announced a -15% promotion on Instagram and via email newsletter. Over the week, 40 additional clients booked. Was it Instagram or the newsletter? Half the clients say 'saw it somewhere'. A month later you know: 'the promotion brought +40 clients and -$700 in discounts'. But whether to continue with Instagram or the newsletter — unclear. For the next promotion you shoot in the dark again.
Influencer Olya says: 'I have 25,000 followers, your $125 will come back 10x'. She posts. A month later you ask 'how many clients?'. She: 'I don't know, don't ask me'. Your admin doesn't know either — clients don't mention 'came via Olya'. Next time you either fear working with influencers 'because it's unclear', or pay blindly 3-5 more times, losing $375-$625 for who knows what.
You run a 'loyal clients -10% this month' promotion. Loyal clients come — that's their habit. You gave away -10% margin (on 50 visits × $17.50 = -$87.50) effectively to no one who was really deciding between you and a competitor. Without segmentation by client type (new vs returning, once a year vs weekly) you don't know if the promotion actually influenced the decision to come, or just ate margin on visits that were already scheduled.
Create OLYA15 for the influencer, IG_AUTUMN for Instagram stories, GOOGLE10 for Google Ads, REFERRAL_X for a specific partner. Each code independently tracks: how many times used, how many clients it brought, how much revenue and margin.
The promo code applies only to 'coloring' (not haircuts), only on bills from $20, only 100 times total, only once per client, only for new clients. Any combination — so the promotion works for your business goals, not just giving away margin.
Analytics per code: 'OLYA15 — 24 uses, revenue $450, discounts -$67.50 (15%), cost of services -$228, margin $155, of which 14 new clients'. You see not 'the promotion brought $450' but 'the promotion brought $155 in margin plus a base of new clients'.
Client enters the promo code on the booking page → system checks all conditions (expiry, limit, services, minimum bill) → shows new price → applies discount → records in statistics. No manual 'give me a discount, I have a code' from the cashier.
AI knows benchmarks for promotion types in your industry: 'in barbershops -20% on a first visit gives an average 3.2x ROI; -10% on loyal clients — 0.6x (eats margin). In your past experience: -15% worked better than -25%, because clients buy anyway'. You launch promotions based on data, not 'let's try'.
Before paying an influencer $125, AI suggests: 'similar businesses with influencers with 25k+ followers averaged 8-15 new clients × $25 margin = $200-$375, ROI 1.6-3x'. Or for existing partners: 'partner X delivers a stable 5x ROI — here's an extra code for scaling; partner Y dropped to 0.4x — worth reviewing the agreement'.
Code, discount type (% or $), expiry, limit, list of services, client type (new/returning), channel/partner. Templates for typical promotions (service launch, re-engaging dormant clients, first visit, referral program) are ready to go.
OLYA15 → to the influencer. IG_STORIES → in your stories. GOOGLE10 → in the Google Ads campaign. REFERRAL_MASHA → to a loyal client who recommends. Each is tracked separately. The admin sees in a live feed: 'IG_STORIES just used'.
After 2 weeks you open the report: 'OLYA15 = 14 new clients, margin $155 → continue'; 'GOOGLE10 = 3 clients, margin -$20 → stop'. AI highlights what to do: 'expand with Olya to 2 posts/month', 'narrow Google targeting to premium'. Every marketing dollar goes where it actually works.
The most common alternatives to tracked promo codes are a blanket discount for everyone (without channel segmentation), Excel tracking 'who came from where', or a homemade Google Forms 'how did you hear about us'. Here's why they don't provide management-grade data:
Simplest and worst. First, you give the discount to everyone, including loyal clients who would have come at full price (-15% of 60% of visits = pure margin loss). Second, you don't know which channel worked — Instagram, email, word of mouth? Next time you shoot in the dark again. Loss: 30-40% of the promotion's potential revenue is eaten by 'discounts to those who would have come anyway'.
The admin has to ask every client 'how did you hear about us?' and write it down. Works up to 30 clients/week. At 200+ clients the admin often forgets to ask, the client says 'I don't remember', or 'from Instagram, but not from a specific influencer'. Output — a table '35% Instagram, 20% Google, 45% don't know'. Influencer X vs influencer Y — unknown. Channel A vs B — approximate. No management decision can be made from this.
Add a 'from where' field to the booking form. 60% of clients skip it (optional). 30% pick the first option from the list ('I don't remember'). 10% actually fill it in. Output — the age-old 'attribution via self-report' error: people don't remember what actually influenced them. A promo code from a specific channel is actual behavior ('yes, I used this code'), not memory ('yes, I saw the post, maybe?').
AI will analyze your business in 5 minutes and show: which promotion types typically work in your niche, how much margin is currently being eaten by 'discount for everyone' without segmentation, which channels to scale and which to shut down.
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14 days free • No card required • We'll transfer your data from another CRM
Promo codes are available in Starta.one Pro — with no limits on the number of codes or uses.
Yes. One of the key options — the promo code applies only to clients booking for the first time (no visit history in your base). This protects your margin from 'discounts to loyal clients who would have come anyway', and concentrates the promotion's effect on acquiring new audiences.
Yes. Configurable: start and end date, total usage limit (e.g. first 50 clients), per-client limit (1 time / 3 times / unlimited), minimum bill (from $20), list of eligible services. Any combination of conditions.
AI does two things: 1) **Suggests which promotion types work in your niche** — based on industry benchmarks and your past experience ('in barbershops -20% on first visit = ROI 3.2x; -10% on loyal clients = 0.6x — don't launch'); 2) **Evaluates partners/influencers by historical return** — before paying an influencer $125, AI forecasts the expected number of clients and ROI based on similar cases; for existing partners — 'partner X stable 5x ROI → expand; partner Y dropped to 0.4x → review the agreement'. Marketing shifts from 'let's try' to 'we know what works'.