OTA Booking Experience Satisfaction & Post-Trip Brand Advocacy Survey
Measure how frequent travellers evaluate, compare, and choose between OTA platforms across search, pricing, and post-trip support, so you can sharpen conversion strategy, reduce booking abandonment, and strengthen repeat-purchase positioning.
CONTEXT & RELEVANCE
Why run this survey now
Most OTAs don't lose repeat bookers purely on price. They lose them due to friction at search, opaque fee reveals at checkout, poor post-booking communication, unresolved trip disruptions, and weak loyalty reinforcement, none of which fully show up in booking conversion dashboards or app session analytics.
If you are...
- OTA product or platform lead
- Travel brand competing on loyalty
- Revenue or pricing strategy head
- CX or retention program owner
- Growth lead, flights or hotels vertical
You're likely facing...
- Checkout drop-off: fee reveal stage
- Post-trip NPS: low repeat intent
- OTA vs direct booking tension
- Loyalty redemption friction gaps
- Advocacy gap: satisfied but silent
This will help answer...
- Booking friction by journey stage
- Advocacy drivers beyond satisfaction score
- Segment preference: app vs desktop
- Fee transparency vs conversion trade-off
- Repeat booking and churn triggers
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete traveler journey from platform discovery to post-trip brand advocacy.
Discovery & Consideration
- First OTA visited, direct or referral
- Search triggers, intent signals
Platform Selection
- Booking interface, filter quality
- Price display, fee transparency
Booking Friction
- Drop-off points, checkout abandonment
- Login, payment, verification barriers
Pricing & Value
- Willingness to pay, price anchoring
- Coupon, cashback, loyalty redemption
Pre-Trip Support
- Itinerary management, modification ease
- Customer support channel responsiveness
In-Trip Experience
- Booking accuracy, property match rate
- Real-time issue resolution, escalation
Post-Trip Sentiment
- Review submission rate, rating drivers
- Refund resolution, dispute outcomes
Advocacy & Retention
- Repeat booking intent, platform loyalty
- Referral behavior, word-of-mouth triggers
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 OTA Booking Experience Satisfaction & Post-Trip Brand Advocacy 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 online travel and booking experience space.
Flight booking friction & channel preference mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Flight booking friction & channel preference mapping (India)
Hotel stay satisfaction & loyalty programme perception study (Southeast Asia)
Flight booking friction & channel preference mapping (India)
OBJECTIVE
A mid-size online travel aggregator needed to isolate where first-time bookers and repeat travellers dropped intent during the search-to-payment sequence , and which friction points drove them toward competing platforms or offline agents.
WHAT WE DID
Ran a structured quant survey across 600 respondents in 8 cities, capturing platform shortlisting triggers , drop-off moments by booking stage , price comparison behaviour , and payment method friction for both domestic and international itineraries.
DELIVERED
A stage-by-stage friction map across the booking funnel, a ranked channel preference framework by traveller segment, and a set of message territories tied to the highest-friction moments for each audience type.
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, business travelers and mixed-purpose bookers?
How will you measure platform preference beyond simple ratings?
Will the survey map the full OTA booking journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our repeat booking and referral conversion rates?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.