TL;DR:<\/strong><\/p>\n Most salons default to demographic segmentation (age, gender, location) because it feels easy. On its own, it says little about who will book again. Psychographic segments (lifestyle, values) sound sophisticated but are hard to measure from appointment data. Value-based segmentation, often built on recency, frequency and monetary spend (RFM), gets closer to something useful. Behavioural segmentation \u2013 grouping clients by what they actually do in your salon \u2013 is the most practical starting point, because the data is already in your appointment history.<\/p>\n The logic is simple: a client\u2019s next visit depends far more on the service she had and her usual rhythm than on her age. A colour client needs a top-up every few weeks whatever her birth year, while a client who came once for a wedding trial won\u2019t respond to a six-week reminder.<\/p>\n For a salon, that means segments like:<\/p>\n Build around behaviour first. Add demographics only where they sharpen a message, never as the primary filter.<\/p>\n A note on RFM: Altegio has no built-in RFM score. You can rebuild its three ingredients with the client filters described below \u2013 the last visit period, the number of appointments and total sales. If you run a chain and want ready-made RFM segments, look at the Analytics category of the Integrations Hub: Smart-Metrika\u2019s Power BI reports for chains, for example, include RFM client segments with lists ready for targeted messages.<\/p>\n Once you accept that behaviour drives value, the next job is turning it into filters your client base<\/a> can apply. You don\u2019t need forty segments. You need a handful that map directly to an action.<\/p>\n In Altegio, the list in Clients > All Clients shows each client\u2019s number of visits, total spend and the dates of the first and last visit, and you can sort it by any of these columns. About 30 filters, combined with \u201cAnd\u201d or \u201cOr\u201d, narrow it down further:<\/p>\n Ready-made client types save time: New<\/strong> (first visit in the last month), Returning<\/strong> (repeat visit in the last month) and Lost<\/strong> (no visit in the last 60 days). You can also save a combination of conditions as a filter and reuse it.<\/p>\n A sample rule for a wider window: lapsed<\/em> means at least one appointment in the 90 days before the last 90 days, none since, and total sales above a threshold you choose, such as your median spend per client. In Altegio, combine two period filters with \u201cAnd\u201d \u2013 appointments in the earlier window, no appointments in the recent one \u2013 and add a total sales condition. The spend condition matters. A one-off client who never spent much isn\u2019t worth chasing as hard as a regular whose visits have simply slowed.<\/p>\n Turn the segments your team needs to see into client categories<\/strong>. Categories are coloured labels \u2013 Permanent, Loyal and VIP exist by default, and you can add your own \u2013 and they appear next to the client\u2019s name in the Appointment Calendar, so whoever is on the desk knows a VIP is coming before the visit starts. You can assign a category in the client card, to a whole filtered list with Bulk actions > Add to category, or automatically by rules you set.<\/p>\n Keep names short and consistent \u2013 New, Regular, Lapsed, VIP \u2013 and write down the rule behind each one where the whole team can find it. In a salon with several chairs, that consistency prevents the labelling drift that quietly ruins a segmentation system within a few months.<\/p>\n Manual lists go stale the moment someone books, cancels or skips a rebooking. A client who was regular in January can be at risk by March, and nobody notices until revenue dips. The fix is to work from live data rather than exported spreadsheets.<\/p>\n In Altegio, filters run on the current appointment and sales history each time you apply them, so the New, Returning and Lost lists are always up to date. Several automatic notifications<\/a> also go out on their own once you switch them on:<\/p>\n What stays a routine is the campaign itself. A fixed weekly slot is enough: apply the New and Lost filters, send the right bulk message to each list, and check who has crossed your VIP threshold, unless a rule already assigns that category automatically.<\/p>\n Pro Tip:<\/strong> Keep a human review point before any discount or high-value offer goes out. Automation should flag the decision, not make it unsupervised.<\/em><\/p>\n Segmentation only pays off once the messages actually differ. Sending the same promotion to a new client and a ten-year regular wastes the data you\u2019ve just organised.<\/p>\n On channels, use SMS or a messenger for anything time-sensitive, such as a reminder or a last-minute free slot, and keep it short. Use email for longer content: aftercare guides, seasonal updates and loyalty program news.<\/p>\n Know what Altegio sends and what it doesn\u2019t. Bulk messages to a filtered list (Clients > All Clients > Bulk actions) go out as SMS or messenger messages through a provider or chat-bot connected from the Integrations Hub, or as push notifications to your branded Altegio app or Altegio.me. Bulk messaging is switched on by Altegio Support, and SMS is billed by your provider. There is no bulk email in Altegio: for an email newsletter, export the filtered list to Excel and send it from an email service. Automatic notifications such as reminders and repeat-visit invitations can go by email, and that channel is free.<\/p>\n Three numbers matter more than the rest: retention rate (the share of clients who return within a defined window), rebooking rate (clients who book their next appointment before they leave) and average ticket (spend per visit). A simple client lifetime value estimate \u2013 average ticket multiplied by visits per year \u2013 gives you a working CLV figure without complex modelling. With an average ticket of \u20ac55 and six visits a year, a regular client is worth \u20ac330 a year.<\/p>\n In Altegio analytics<\/a>, Key Metrics > Attendance shows new, repeat and lost clients for a period, Return rate shows what share of the previous period\u2019s clients came back, and the Client report lists revenue, average bill and number of visits for each client. There is also a client retention report by team member. Rebooking at the desk isn\u2019t a separate report, so keep a simple tally of visits that end with the next appointment already made.<\/p>\n Set a baseline before you change anything. Then test segment by segment: send an offer to a randomly chosen half of a segment and compare the rebooking rate of both halves over a fixed window, typically 30 days, so you don\u2019t credit the campaign with appointments that would have happened anyway. For SMS campaigns, the Received SMS mailing filter shows which clients booked after receiving the message.<\/p>\n Retention compounds.<\/strong> Every client who keeps coming back brings revenue without a new acquisition cost, which is why segmentation deserves a regular slot in your week rather than a one-off project.<\/p>\n Organising the clients you already serve is ordinary client management. Sending them marketing is where the rules apply.<\/p>\n Plan around what Altegio covers and what it doesn\u2019t. The booking form collects a mandatory consent to personal data processing, but it has no separate marketing-consent checkbox, no double opt-in and no consent timestamp, and there is no automatic STOP handling. When a client opts out, use the Exclude option in their client card. Keep your own record of who agreed to marketing, when and how, and use a client category such as \u201cMarketing OK\u201d to filter campaign lists before every send.<\/p>\n Segmentation doesn\u2019t need a quarter of planning meetings. It needs a sequence.<\/p>\n Ninety days is enough to set up, run and measure one full cycle for most services. It isn\u2019t a guarantee of a set result: treat the first quarter as the baseline for the next one.<\/p>\n The consent clean-up in the first month matters most. A segment of clients who never agreed to marketing, and who don\u2019t fall under the existing-client exception, can\u2019t be used for email or SMS campaigns, however well it is built.<\/p>\n Altegio is a CRM for appointment-based businesses<\/a> \u2013 beauty, wellness, clinics, auto, fitness and more \u2013 so the appointment history behind your segments is already in one place:<\/p>\n The price depends on the number of team members and the billing period \u2013 see pricing<\/a>. To try the filters on your own client list, start the 7-day free trial<\/a>; migration from your current system is free.<\/p>\n The four most commonly used types are demographic, geographic, psychographic and behavioural segmentation. For salons, behavioural segmentation \u2013 grouping clients by service type, visit frequency and spend \u2013 is the most practical, because the data is already in the appointment history.<\/p>\n A hair salon\u2019s audience usually spans several behavioural groups rather than one demographic profile: new clients trying the salon for the first time, regulars who book on a consistent cycle, lapsed clients who have drifted away, and higher-spending VIP clients. Building segments around these behaviours works better than targeting by age or location alone.<\/p>\n A practical sequence runs: collect clean client data, choose your segmentation criteria (behavioural first), define a clear rule for each segment, decide how clients move between segments, create tailored messages for each segment, then measure and adjust based on rebooking rate and average ticket. Filters that run on live appointment data keep this cycle going without rebuilding lists by hand.<\/p>\n Clients come back for consistency: a stylist who remembers their preferences, a timely reminder before they forget to rebook, and offers that feel personal rather than generic. A different message for a new client than for a ten-visit regular usually lands better than one blanket promotion sent to everyone.<\/p>\n Not as a built-in score. You can approximate recency, frequency and monetary value with the client filters for visit period, number of appointments and total sales, and save the combination as a filter. Ready-made RFM segments are available through analytics apps in the Integrations Hub, such as Smart-Metrika for chains.<\/p>\n For email and SMS marketing, ask for consent separately from your booking terms and keep a record of it; the ePrivacy Directive allows marketing your own similar services to existing clients only if they can opt out when their details are collected and in every message. Under GDPR, clients can also object at any time to direct marketing, including profiling related to it, so every segment-based campaign needs an easy way to opt out.<\/p>\n This article is general information, not legal advice. Rules differ between EU countries.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":" Three behavioural client segments \u2013 new, regular, lapsed \u2013 built with Altegio filters, what to send each one, and a 90-day plan to track rebooking.<\/p>\n","protected":false},"author":34,"featured_media":49928,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[869,235],"tags":[217,271,253,274,289],"class_list":["post-49955","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-reklama","category-klienty","tag-analitika","tag-client-retention","tag-clients-ru","tag-loyalty-program","tag-salon-marketing"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n
\n1. Segmentation types and why behaviour beats demographics<\/h2>\n
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2. How to build practical segments with client filters<\/h2>\n
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3. Automation and routines that keep segments current<\/h2>\n
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![\"Diagram:](\"https:\/\/alteg.io\/blog\/wp-content\/uploads\/2026\/10\/client-segmentation-salon-01.jpeg\")
<\/p>\n4. What to send each segment: message types, channels and timing<\/h2>\n
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5. Measure impact: KPIs that show segmentation is working<\/h2>\n
![\"Four](\"https:\/\/alteg.io\/blog\/wp-content\/uploads\/2026\/10\/client-segmentation-salon-02.jpeg\")
<\/p>\n6. Segmentation, consent and EU rules<\/h2>\n
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7. A 90-day checklist for salon owners<\/h2>\n
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Running segmentation in Altegio<\/h2>\n
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FAQ<\/h2>\n
What are the four types of customer segmentation?<\/h3>\n
Who is the target audience for a hair salon?<\/h3>\n
What are the 6 steps of customer segmentation?<\/h3>\n
What attracts clients in a salon?<\/h3>\n
Does Altegio have RFM segmentation?<\/h3>\n
How do I legally collect client data for segmentation?<\/h3>\n
Read next<\/h2>\n
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