Travel Advisor — Repeat-Client Relationship Ladder

Travel Advisor — Repeat-Client Relationship Ladder

Industry front door for customer-relationship-ladder. Adds domain triggers, example, packs only. Parent Process unchanged.

Activate when: turning one-trip bookers into annual clients; building a client-for-life book; planning post-trip nurture; "how do I stop starting from zero every year?" Do NOT activate when: pure one-off transactional volume with no repeat intent.

Why this variant

The parent customer-relationship-ladder moves a contact up rungs from stranger → advocate. A travel advisor's economics are recurring: the same household books yearly and refers. The ladder turns a single itinerary into a multi-year, referral-generating relationship.

Domain inputs → parent's Process

Rungs and the trigger that lifts each:

• First trip → profiled client (preferences, dates, milestones captured).
• Profiled → annual (proactive next-trip suggestion timed to their calendar).
• Annual → advocate (referral ask at the peak, testimonial, host events). Each rung has a scheduled touch, not a hope.

Worked example

Family booked one spring-break trip. → Capture anniversary/birthday/school calendar; 60 days post-trip send a "next year" concept tied to their dates; at the referral-ready peak, ask for one intro. One trip becomes a yearly annuity.

Packs

• Solo: simple client profile + annual touch cadence.
• Agency: tiered loyalty (VIP perks) for top-rung households.

Red flags

• No preference profile captured = restarting cold each year.
• Referral never asked, or asked at a neutral moment.
• Nurture is reactive (wait for the client to call).

Verification

• Client profile captured on first trip
• Proactive next-trip touch scheduled to their calendar
• Referral ask timed to the experience peak
• Top clients moved to a VIP rung

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Part of deciqAI Knowledge Skills. Core method: customer-relationship-ladder.

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Part of deciqAI Knowledge Skills — 227 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/c/travel-repeat-client-ladder · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.

Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/travel-repeat-client-ladder.json