Travel Agent vs Self-Booking Preference Survey
Measure how leisure and business travelers evaluate, compare, and choose between travel agents and self-booking platforms across cost, convenience, and trust, so you can sharpen channel positioning, fix conversion gaps, and refine acquisition strategy.
CONTEXT & RELEVANCE
Why run this survey now
Most travel brands don't lose bookings purely on price. They lose them due to trust deficits, platform friction, itinerary complexity, service recovery expectations, and agent value confusion, none of which fully show up in booking funnel analytics or OTA conversion reports.
If you are...
- OTA vs travel agency competitor
- Agency network distribution head
- Travel product or packaging lead
- Revenue and yield strategy head
- Corporate travel procurement team
You're likely facing...
- Agent value vs platform cost tension
- Self-booking drop-off: complex itineraries
- OTAs = cheap/impersonal perception
- Agents = reliable/expensive perception
- Loyalty erosion at renewal stage
This will help answer...
- Preference drivers beyond price
- Booking channel drop-off stage
- Segment split: agent vs self-book
- Fee tolerance and service trade-offs
- Switching triggers and retention signals
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete traveller journey from trip inspiration to post-booking review.
Discovery & Triggers
- Trip inspiration sources, channels
- First booking touchpoint type
Booking Preference
- Agent vs. self-booking split
- Preferred booking platform type
Preference Drivers
- Top reasons favouring agent use
- Top reasons favouring self-booking
Agent Value Gap
- Perceived agent value vs. cost
- Services agents fail to deliver
Pricing & WTP
- Fee tolerance for agent services
- Price comparison behaviour, OTA vs. agent
Journey Friction
- Drop-off points in self-booking flow
- Agent process pain, response delays
Trust & Credibility
- Agent credibility signals, certifications
- OTA trust cues, review reliance
Switching & Loyalty
- Conditions triggering channel switch
- Repeat booking loyalty, agent retention
SAMPLING STRATEGY
Tell us about your ideal sample
Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.
METHODOLOGY
Survey approach
For the Travel Agent vs Self-Booking Preference Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.
EXECUTION PROCESS
How we execute
A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.
Define the decision frame
Confirm objectives, target cohorts, geographies, and reporting cuts
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
Deliver and align
COMMERCIAL TERMS
Request a Commercial Proposal
Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.
Select Sample Size
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.
REFERENCE CASELETS
Reference
Real-world examples of survey work in the travel booking preference space.
Holiday package channel preference & friction mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Holiday package channel preference & friction mapping (India)
Corporate travel policy compliance & booking behaviour audit (India)
Holiday package channel preference & friction mapping (India)
OBJECTIVE
A mid-size leisure travel aggregator needed to quantify how first-time holidaymakers and repeat leisure travellers weigh OTA platforms against offline travel consultants when booking multi-destination packages, and which decision triggers shift channel loyalty.
WHAT WE DID
Ran a structured quant survey across 600 respondents in 8 cities, capturing channel shortlisting criteria, itinerary customisation needs, price sensitivity thresholds, and trust signals that push travellers toward or away from agent-assisted booking at each planning stage.
DELIVERED
A channel preference map by traveller segment, a ranked friction list at 5 booking stages, and a set of message territories tied to the specific trust gaps that aggregators must close to convert self-researchers into confirmed bookings.
FREQUENTLY ASKED QUESTIONS
Common Questions
Answers to frequently asked questions about this survey mandate.
What decisions will this survey enable?
Who is the buyer vs who are the respondents?
Can we see differences between leisure travelers, corporate travelers and frequent independent travelers?
How will you measure booking channel preference beyond simple ratings?
Will the survey map the full booking journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our agent network retention and OTA conversion strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.