Sparkboard · White Paper · 2026

Knowing the
Traveler First

How Sparkboard's Agentic AI bridges the 45-day inspiration gap and gives independent travel advisors the one advantage OTAs can never buy.

Platform
sparkboard.net
Edition
2026
Sections
12 + references

Section I

The silence
of the funnel

Expedia Group's 2023 Path to Purchase research tracked 70,000+ consumers across seven countries in the 45 days before booking. What it revealed changes everything about how the travel industry should think about reaching customers.

141
Pages of travel content consumed in the 45 days before booking (global avg.)
Expedia Group Path to Purchase, 2023
277
Pages consumed by U.S. travelers nearly double the global average
Expedia Group Path to Purchase, 2023
4 in 5
Travelers visit an OTA at some point before purchasing even if they ultimately book elsewhere
Expedia Group Path to Purchase, 2023

Page views along the 45-day journey

Day 1–30
Low activity
Day 31–40
Building
Day 44
9 pages
Booking day
25 pages — the spike

“The booking window is compressed and frantic. The inspiration window is long, rich and invisible to everyone trying to reach that traveler.”

The prior 44 days where intent is formed, destinations are narrowed, and preferences crystallize represent a massive strategic blind spot. The signal only becomes visible to advisors and OTAs during a frantic, end-of-funnel surge, by which point the decision is nearly made. Google's micro-moments research confirms this: travel decisions are shaped across hundreds of intent-driven interactions. Skift Research further establishes that over 60% of travel discovery now happens outside traditional booking platforms entirely.

Section II

The invisible customer

Four phases define the traveler's path to purchase. Only one generates the richest data. It's also the only one the industry can't see.

Inspiration

3+ destinations in consideration · visual, emotional, social

Research

Narrows to 1–2 destinations · comparative, price-aware

Planning

Destination decided · itinerary, hotels, logistics

Booking

Transaction · the moment the industry finally sees you

Where advisors enter and what they're missing

By the time a traveler contacts an independent advisor, the inspiration phase is largely over. The advisor enters blind—no visibility into what content the traveler consumed, what they saved, what they ruled out, or how long they've been in the cycle.

Their only intake mechanism is a survey that asks travelers to translate months of organic, emotional, visual inspiration into a form field. Most of that richness is lost in translation.

Without knowing where the traveler sits in the cycle, the advisor is throwing darts at a dartboard. Pitch too light and you lose a ready buyer. Pitch too heavy and you overwhelm someone still browsing.

TikTok saves

Short-form video inspiration—the emotional trigger that starts most Gen Z travel journeys. Invisible to every advisor.

Pinterest boards

Pinterest's own research: saved content is one of the strongest indicators of future purchase intent. Stays siloed.

Screenshots & texts

Hotel photos, restaurant clips, friend recommendations. Hidden in apps, texts, and camera rolls. Never captured.

“Inspiration behavior is not unstructured. It is simply uncaptured.”

Section III

Demographic tectonics

Gen Z and Millennials now account for 50% of all travel spending and they generate the most valuable inspiration data while being the hardest for legacy infrastructure to reach.

50%
Of all travel demand is now Gen Z + Millennial
71%
Of consumers expect personalization as a baseline, not a premium (McKinsey)
Short-form video research

50%+ of Gen Z uses TikTok and Reels as their primary travel research tool—not Google.

Sustainability mandate

42% of Gen Z and 38% of Millennials filter for sustainable options—double the Baby Boomer rate (Deloitte).

Loyalty sensitivity

67% of Millennials prioritize loyalty programs but are highly price-sensitive. Relevance converts; generic offers don't.

Intentional travel

Gen Z is uniquely deliberate about how travel affects their wellbeing—they seek trips aligned with their values (Morning Consult).

“Gen Z treats algorithmic relevance as a baseline expectation, not a premium feature. Anything less reads as lazy.”

Section IV

The visibility gap

The digital advertising market is not competitive—it is structurally inaccessible to independent advisors. But the demand hasn't gone anywhere.

$6B+
Expedia Group annual marketing spend
$7B+
Booking Holdings annual marketing spend
$1 in $4
spent on travel is still booked through an agency (ASTA)

What advisors are left with

Social media. Word-of-mouth referrals. Walk-in foot traffic for the few with a brick-and-mortar presence. All three are passive, unpredictable, and unscalable. They work when they work.

The human resurgence

35% of active travel advisors entered the industry in the last five years. The demand for expert guidance is real and growing—it simply has no efficient discovery mechanism.

“You will never outspend Expedia. But you don't have to. The advisors who win the next decade won't have the biggest budgets. They'll be the ones who knew their customer first.”

Section V

From chatbots
to agents

The travel industry is undergoing a fundamental technical transition. Understanding the difference between Generative AI and Agentic AI is the key to understanding why Sparkboard is possible now.

Generative AI

The top-of-funnel assistant

Surfaces personalized recommendations, answers queries, and produces draft itineraries. A gateway to discovery—not an engine of action.

  • 84% of users report a superior experience
  • 45% lower bounce rate (McKinsey)
  • Still requires humans to take next steps
Agentic AI

The operations & commerce engine

Goes beyond conversation to execution. Researches, negotiates, transacts, and completes bookings autonomously via WebMCP—no GUI required.

  • Executes multi-step workflows
  • Handles payments and backend services
  • Enables contextual upsells at intent moments
84%
Of travelers using generative AI report a superior planning experience
$1T
U.S. B2C revenue orchestrated through agentic commerce by 2030 (McKinsey)
$5T
Projected global agentic commerce market by 2030 (McKinsey)

“The unlock for Sparkboard wasn't a new AI capability. It was consumer readiness. Travelers have crossed the threshold of AI acceptance and the behavior was always there.”

Section VI

The Sparks model

Sparkboard doesn't ask travelers to change their behavior. It meets them where they already are and turns what they were already doing into something the travel industry can finally act on.

The traveler texts a link

A TikTok. An Instagram post. A hotel website. A link they'd otherwise text their partner. That's the entire interaction—no app to learn, no form to fill out, no behavior to change.

AI extracts the Sparks

Every submission is analyzed for embedded travel data: destination, aesthetic, accommodation type, activity preference, party size, price tier, occasion. Each extracted data point becomes a Spark.

Profile builds over 45 days

Sparks accumulate into a rich, living traveler profile that captures the full inspiration journey in real time—not a single survey snapshot, but a behavioral record.

Itinerary meets the person

Standard frameworks are cross-referenced with the traveler's Sparks to produce a personalized itinerary. Not a generic Paris trip—a Paris trip built for this family of four with two boys who love Lego.

The throughline

Inspiration: Submit content naturally. Spark profile builds in background.

Research: Sparkboard drips targeted itineraries and matched advisors via email + SMS.

Planning: Generate on-demand itinerary, adjust a pre-built one, or connect with an advisor who already has the full Spark profile.

Booking: Advisor closes with complete context. No cold start. No blank questionnaire.

“The traveler does what they were already doing. Sparkboard just makes it count.”

Traditional intake vs. Sparkboard

FeatureTraditional IntakeSparkboard (Inspiration-Based)
Data SourceStatic form fields / questionnairesOrganic saves, screenshots, social media
TimingPost-research right before bookingDuring the 45-day inspiration phase
ContextLimited to user-typed textFull behavioral and visual profile
InterfaceManual GUI (clicks and menus)Direct service communication (WebMCP)
PersonalizationAdvisor interprets self-reported preferencesAI extracts and structures native behavioral data

Section VII

Data trust
& privacy

Sparkboard operates at the intersection of personal content and behavioral data. Trust is foundational—and it is also a structural competitive advantage.

User-owned profiles

Travelers own their Spark profiles. Data is created by their behavior, remains under their control, and can be deleted at any time.

Explicit consent

Content ingestion requires active opt-in. Sparkboard processes only what the traveler deliberately shares—no passive harvesting.

Transparent usage

Travelers are told clearly how their Spark data is used and who can access it. Advisors receive profile access only when a traveler initiates a connection.

No data resale

Sparkboard does not sell individual traveler data to third parties. Advertising placements are matched to anonymized Spark profile clusters, not personal records.

GDPR aligned
General Data Protection Regulation — Europe
CCPA aligned
California Consumer Privacy Act — USA

“In a world where data extraction is the norm, data transparency is the differentiator.”

Section VIII

Competitive
landscape

The travel technology landscape is crowded—but the inspiration phase as a structural data layer remains entirely unoccupied. Here's where every existing solution falls short.

PlatformCategoryCaptures Inspiration?The Gap
Expedia / Booking.comOTANoEnters at booking—no inspiration layer
TripIt / WanderlogTrip PlanningNoOrganizes confirmed plans—misses intent phase entirely
UtripAI PlanningPartialSurvey-based—reintroduces the translation loss problem
Pinterest / InstagramSocial DiscoveryYes (siloed)No travel extraction—intent stays inside the platform
SparkboardSignal LayerYes nativelyThe only platform that captures, extracts, and activates inspiration data across the full 45-day journey

“Sparkboard is not a booking engine, a planning tool, or a CRM. It is a behavioral signal capture and activation layer—infrastructure that sits between where inspiration happens and where the travel industry can act on it.”

Section IX · Case Study

The 45-day
journey

Sarah and her partner are planning their honeymoon—a high-value, emotionally charged trip with strong purchase intent. Here's how Sparkboard changes every phase of their journey.

Weeks 1–2 · Inspiration

Sarah saves TikToks of the Amalfi Coast. Screenshots boutique hotels. Shares posts with her partner.

Sparkboard: Amalfi + Positano, boutique luxury, couple, honeymoon, premium budget

Weeks 3–4 · Research

Searches flight prices. Compares Italy vs Greece. Adds Rome as potential extension.

Sparkboard: Italy confirmed. Sends curated Amalfi + Rome itinerary + matched advisor via SMS

Weeks 5–6 · Planning

Opens the Sparkboard itinerary. Adjusts 2 hotels, removes one activity. Connects with the advisor.

Advisor receives full Spark profile—no intake questionnaire needed

Week 6 · Booking

Books with full confidence. Advisor closes the deal knowing preferences, budget, and occasion perfectly.

New revenue: concierge fee + commission streams that didn't exist before Sparkboard

Faster conversion

Advisor enters at Planning with full context established—no cold start, no blank questionnaire, no wasted intake calls.

Precision upsells

Advisor knows the budget tier, aesthetic preferences, and occasion from the first conversation—enabling targeted premium add-ons immediately.

New revenue created

Sarah pays a concierge fee. The advisor collects both the fee split and the booking commission—revenue streams that did not exist before Sparkboard.

Higher satisfaction

The itinerary reflects actual stated preferences, not self-reported approximations. The trip is genuinely hers—not a template with her name on it.

Section X

The marketplace
& network effects

Sparkboard is a two-sided marketplace—and like all successful two-sided platforms, its value compounds with scale. More travelers make it better for advisors. More advisors make it better for travelers.

1

More travelers submitting inspiration content

2

Richer Spark profiles → more precise matching

3

Better advisor outcomes → more advisors join

4

Better fulfillment → word-of-mouth growth

5

Better advertising signal → more platform investment

Cold start solved

The inspiration capture tool delivers immediate value to travelers independently of how many advisors are on the platform—allowing the supply side to be built against a growing base of real behavioral data (Andrew Chen, The Cold Start Problem).

“At scale, Sparkboard doesn't just serve the travel market. It becomes its intelligence layer.”

Section XI

The marketplace

Three participants. Three distinct value propositions. One revenue model that aligns with every phase of the path to purchase.

For Travelers

A personal travel intelligence layer that organizes inspiration without requiring any behavior change. Your dream trip organized, personalized, and waiting when you're ready.

For Travel Advisors

Qualified, data-rich leads at peak intent with full Spark profiles attached. The Human-in-the-Loop model elevated: AI handles the repeatable tasks, the advisor handles the judgment.

For Tourism & Hospitality

Intent-matched advertising placement matched to the Spark profiles of travelers already dreaming about your destination. Not impression advertising. Pure intent signal.

Revenue architecture

Phase 1–2

Advertising Revenue

Tourism boards, hotels, and hospitality brands pay for placement during inspiration and research—targeted to travelers whose Spark profiles signal active intent.

Phase 3

Planning & Concierge Fees

A premium fee structure, split with advisors, that travelers willingly pay for the organized, personalized experience Sparkboard enables. New revenue that didn't exist before.

Phase 4

Booking Commissions

The traditional commission structure preserved and automated through Agentic AI—removing friction while maintaining the economic model the industry already understands.

“Sparkboard doesn't disrupt the advisor's existing revenue. It adds revenue streams that didn't exist before—funded by value the platform itself creates.”

Section XII · Thesis

The only advantage
OTAs can never buy

“The only way to compete against the major OTAs is to understand the customer better. Sparkboard is how.”

For Travel Advisors

Enter earlier. Know more.

Enter the purchase journey earlier than any advertising budget could achieve and arrive at the planning conversation already knowing more about the traveler than the OTAs ever will.

For Tourism & Hospitality

Intent over impressions.

The first advertising platform in travel where placement is matched to genuine, behaviorally-derived intent—not demographic proxies and keyword bids.

For Travelers

Your dream trip, organized.

The tool that makes a dream trip feel achievable—organized, personalized, and waiting when you're ready. Not a template. Yours.

The $5 trillion opportunity

By 2030, the global agentic commerce market will reach an estimated $5 trillion (McKinsey). Those who shape the deployment of autonomous tools in travel today will define the commerce landscape of tomorrow.

The OTAs will always spend more. But spending more is not the same as knowing more. And in travel—knowing more wins.

Sparkboard is not simply a product. It is infrastructure for capturing and activating the most valuable signal in travel: inspiration.

References

Get in touch

Want to collaborate or learn more?

We are building the future of inspiration-led travel planning and would love to connect with advisors, partners, and operators.

Email hello@raveltrips.com

Sources

  • Expedia Group (2023). Path to Purchase. Luth Research. 7 markets, 70,000+ participants.
  • Google. Travel Micro-Moments Research.
  • Skift Research. Travel discovery behavior reports.
  • McKinsey & Company. Personalization (2021); Agentic commerce projections 2030.
  • Deloitte Global Millennial Survey. Generational travel behavior.
  • Morning Consult. Travel Trends and Gen Z Lifestyle tracking.
  • Pinterest. Predicts research; saved content as purchase intent indicator.
  • Meta. Saved content behavior and conversion research.
  • TikTok. Travel discovery and short-form video trends.
  • ASTA. Advisor market share and workforce composition.
  • Gartner. Agentic AI as defining enterprise technology trend.
  • Hilton Trends Report. Generational travel and wellness preferences.
  • PhocusWire. Transition to agentic commerce in travel.
  • Chen, A. (2021). The Cold Start Problem. HarperBusiness.
  • Parker, Van Alstyne, Choudary (2016). Platform Revolution. W.W. Norton.