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Salesforce Travel and Hospitality Hawaii, United States

Turtle Bay Resort

Customer Service Automation · Marketing Personalization

Turtle Bay Resort could not easily segment guests or personalize excursion recommendations because booking, behavior, and preference data were fragmented, and concierge staff spent too much time answering repeat questions manually.

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15% rise in repeat bookings for adventure experiences
20% increase in booking conversions
40% increase in user engagement
50% more efficient in providing guests with prompt, informative replies

Reported impact

Business outcome

Turtle Bay Resort improved guest targeting and self-service, lifted adventure booking conversions and repeat bookings, raised web engagement, and made concierge support materially more efficient.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

Turtle Bay Resort uses Data Cloud, Einstein 1 Marketing, Marketing Cloud Personalization, and Einstein 1 Service to tailor both guest outreach and on-property support around a unified guest profile. Data Cloud consolidates booking history, stated preferences, and resort interactions so the resort can instantly build segments such as adventurous couples or families looking for different activities. Einstein 1 Marketing then turns those segments into targeted campaigns, while Marketing Cloud Personalization and a partner-built propensity model surface the most relevant excursion or luxury offers in the resort's digital guest experience. On the service side, Einstein 1 Service uses the resort's knowledge base to draft accurate concierge responses for dining, transportation, room, and activity questions, which lets staff reply faster while preserving a high-touch hospitality experience.

Data flow

Guest bookings, preferences, and activity interactions are unified in Data Cloud, segmented for campaigns and web personalization, and then reused by concierge staff through Einstein 1 Service so both digital recommendations and human responses reflect the same guest context.

Solution architecture

4 components · 3 layers
  1. Compute
    • Einstein 1 Marketing Uses guest segments to send targeted campaign offers for excursions and luxury experiences.
    • Einstein 1 Service Drafts concierge responses from the resort knowledge base to speed up guest support.
  2. Storage
    • Data Cloud Combines guest preferences, booking history, and resort interactions into a single profile.
  3. Serving
    • Marketing Cloud Personalization Tailors on-site and online recommendations to each guest's interests and behavior.

Architecture clues

  • A custom propensity AI model identifies the excursions most likely to appeal to each guest.
  • Concierge replies are grounded in the resort's knowledge base rather than freeform generation.
  • Marketing and guest services teams use a custom guest console informed by unified profile data.

Evidence from the source

Personalized web content for known users has led to a 40% increase in user engagement.
The concierge service at Turtle Bay Resort uses Einstein 1 Service to quickly handle a wide range of guest questions.
The resort also identifies guests who prefer luxury experiences and uses Einstein 1 Marketing to send them specialized email campaigns with exclusive adventure offers.
These targeted campaigns have led to a 20% increase in booking conversions and a 15% rise in repeat bookings for adventure experiences.
Transparency Evidence & methodology 95/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value95/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Salesforce

    Turtle Bay Resort customer story

    First-party
    https://www.salesforce.com/customer-stories/turtle-bay-delivers-better-experiences-AI/
    Source type
    Vendor-published customer story
    Published
    Mar 7, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Mar 7, 2024 · Salesforce · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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