Motivation & Adoption.
Why salon AI actually gets used.
Three pillars for the salon playbook: personalized style recommendations built from class booking and service history, tone-matching by client persona for rebook campaigns, and Instagram caption workflows tuned for engagement and retention. Each pillar below ships with one copy-paste-ready sample prompt — no LLM call, just authored text from the published playbook.
What the playbook covers
Three pillars that decide whether your salon AI gets used.
Built around the moments that move a guest from a 4-week regular to a 12-week lapsed — and back again. Not the moments a vendor demo likes to talk about.
Pillar 1
Personalized style recommendations from class booking + service history.
A 5-minute consultation opener that pulls from the guest's last visit, the stylist's prior promises, and a maintenance-cadence question — so the next color is named on the guest's terms, not the stylist's upsell.
Prompt -- 5-minute consultation opener
Write the opening 5 lines of the consultation that [STYLIST NAME] runs at [SALON NAME] for [SERVICE -- e.g. dimensional color, lived-in balayage, blunt bob, keratin smoothing].
Inputs the stylist already has:
- Guest's last visit notes: [PASTE 1-2 LINES]
- Guest mood hint: [e.g. "wants low-maintenance / wants a wardrobe change / celebrating / quiet"]
- Service duration: [MINUTES]
Produce 5 lines the stylist speaks in order:
- Line 1: a no-pressure opener ("what would feel like a win today?")
- Line 2: a prompt to confirm or contradict the prior appointment
- Line 3: a question about maintenance tolerance (frequency + at-home time)
- Line 4: a question about the occasion the guest has in mind (a wedding, a job change, nothing in particular)
- Line 5: a hands-off pause ("take a beat and we will start on the dry cut first")
Plain ASCII. No exclamation points. Under 90 seconds spoken.Pillar 2
Tone-matching by persona for new / loyal / lapsed rebook campaigns.
A warm reactivation text that rejects the "we noticed you have not visited" opener and instead opens with the human hook from the last visit note, names the seasonal trigger, and closes with a single tap-to-book affordance. The same template reads differently for a 4-week regular vs an 8-week lapsed guest.
Prompt -- Warm reactivation text for a guest at 8-12 weeks lapsed
Draft a reactivation text for [GUEST NAME] at [SALON NAME].
Context:
- Last visit: [SERVICE] on [DATE] -- about [N] weeks ago
- Stylist then: [STYLIST NAME]
- Note from the visit: [ONE LINE -- e.g. "pre-baby prep / change-of-season refresh / wedding we discussed"]
- Today is [DATE] -- [SEASON] just shifted
Produce a 3-sentence text:
- Sentence 1: opens with the human hook from the visit note, NOT "we noticed you have not visited"
- Sentence 2: names the seasonal trigger ("the season just turned and your last color was X")
- Sentence 3: a low-friction tap-to-book or "reply YES and I will hold a slot this week"
Under 60 words. Plain ASCII.Pillar 3
Instagram caption workflows tuned for engagement and retention.
A chef's-note-style 90-word before/after caption that opens in under 12 words, walks the service in 2-3 sentences, invites a comment, and closes with a single hashtag line. Engineered to read intentional on the feed without sounding like a product ad.
Prompt -- Before/after Instagram caption (chef-note style)
Write a 90-word Instagram caption for a before/after at [SALON NAME]. Service: [SERVICE -- e.g. lived-in balayage refresh, blunt bob, keratin smoothing] Photo notes: [shot at the chair / natural light / guest in frame at 3-4 angle / both dry] Anchor: [ONE OF: technique / seasonal color trend / the guest occasion] Stylist: [STYLIST NAME] Constraints: - One short opener (under 12 words) - 2-3 sentences on the service / transformation - One sentence inviting a comment or share - 5-7 hashtags in a single line at the end - Tag: @[STYLIST HANDLE] and @[SALON HANDLE] No emojis if the salon style is minimalist. Plain ASCII.
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