Travel Booking Platform Brand Preference & Consumer Loyalty Behaviour Survey
Map how frequent travellers evaluate, compare, and choose between booking platforms on price, loyalty rewards, and user experience, so you can sharpen acquisition targeting, fix retention gaps, and benchmark loyalty programme conversion.
CONTEXT & RELEVANCE
Why run this survey now
Most travel platforms don't lose repeat bookers purely on price. They lose them due to weak loyalty mechanics, inconsistent search-to-checkout experiences, misread traveller intent, poor post-booking engagement, and unresolved trust gaps, none of which fully show up in session analytics or booking conversion reports.
If you are...
- OTA competing on loyalty retention
- Metasearch platform losing direct traffic
- Product head, booking funnel
- Revenue and partnerships lead
- Brand strategy or growth team
You're likely facing...
- Platform switching: price vs trust
- Loyalty program low repeat rate
- OTA vs direct booking confusion
- Drop-offs: search to payment stage
- Brand recall gap: mobile vs desktop
This will help answer...
- Preference drivers beyond lowest fare
- Funnel drop-off by booking stage
- Segment split: leisure vs business
- Loyalty reward vs fee sensitivity
- Switching triggers at renewal point
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete traveller journey from platform discovery to post-trip loyalty.
Discovery & Awareness
- First platform encountered, channel source
- Search triggers, intent signals
Platform Preference
- Primary platform, shortlist criteria
- Category preference, flight vs. hotel vs. bundle
Booking Experience
- Search-to-checkout steps, drop-off points
- Mobile app vs. desktop session behaviour
Pricing & Value
- Price sensitivity thresholds, fare comparison habits
- Coupon reliance, discount-driven switching
Loyalty & Rewards
- Programme enrolment, points redemption rate
- Reward tier awareness, earn-burn behaviour
Trust & Credibility
- Review reliance, rating source preference
- Cancellation policy confidence, refund track record
Switching & Retention
- Churn triggers, re-engagement moments
- Multi-platform usage, parallel booking behaviour
Advocacy & Referral
- Word-of-mouth frequency, referral programme uptake
- Social sharing triggers, community influence
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 Booking Platform Brand Preference & Consumer Loyalty Behaviour 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 and consumer loyalty space.
Hotel booking channel preference & friction mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Hotel booking channel preference & friction mapping (India)
Flight aggregator loyalty messaging & segment positioning (South Asia)
Hotel booking channel preference & friction mapping (India)
OBJECTIVE
A mid-size hospitality group needed to identify why frequent leisure travellers and occasional business travellers chose direct booking channels over third-party aggregators , and which friction points triggered platform switching before checkout completion.
WHAT WE DID
Ran a structured quant survey across 600 respondents in 6 metro cities, capturing channel shortlisting triggers , price comparison behaviour , loyalty programme awareness , and drop-off reasons at each stage of the booking funnel.
DELIVERED
A channel preference map by traveller segment, a ranked friction list across 9 booking stages, a switching trigger framework , and a set of retention levers tied to specific moments in the pre-checkout journey.
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 travellers, business travellers and frequent multi-platform users?
How will you measure platform 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 platform retention and loyalty programme performance?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.