Flight Booking Platform Loyalty Survey
Frequent flyers and business travelers evaluate, compare, and choose flight booking platforms based on rewards value, pricing transparency, and booking convenience, so you can sharpen retention strategy, fix conversion gaps, and benchmark loyalty program positioning.
CONTEXT & RELEVANCE
Why run this survey now
Most flight booking platforms don't lose repeat travelers purely on price. They lose them due to irrelevant reward structures, poor redemption experiences, weak personalization, opaque tier benefits, and misaligned partner offers, none of which fully show up in booking analytics dashboards or CRM retention reports.
If you are...
- OTA loyalty program head
- Airline direct booking strategist
- Platform revenue and pricing lead
- Partnership and co-brand manager
- Growth and retention product owner
You're likely facing...
- Tier drop-off: earn vs redeem gap
- OTA vs airline app split loyalty
- Points = low-value perception
- Reward catalog misfit: frequent flyers
- Reactivation cost vs retention cost
This will help answer...
- Loyalty drivers beyond price
- Redemption drop-off stage
- Segment preference: OTA vs airline
- Tier value vs switching threshold
- Churn triggers and win-back signals
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete traveller journey from platform discovery to post-booking advocacy.
Discovery & Entry
- First platform visited, trigger event
- Search channel, referral source
Platform Preference
- Primary platform, frequency of use
- Switching triggers, fallback platforms
Loyalty & Rewards
- Programme enrolment, points redemption rate
- Reward tier awareness, benefit recall
Pricing & WTP
- Fare sensitivity, convenience fee tolerance
- Price-loyalty trade-off threshold
Booking Friction
- Checkout drop-off points, error frequency
- Payment failure rate, retry behaviour
Post-Booking Trust
- Cancellation experience, refund turnaround
- Support channel preference, resolution speed
Stickiness & Advocacy
- Repeat booking rate, referral intent
- Word-of-mouth triggers, detractor events
Competitive Positioning
- Platform differentiation perception, gap recall
- Direct airline site vs. OTA preference
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 Flight Booking Platform Loyalty Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across frequent flyer and occasional traveller segments.
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 flight booking and travel loyalty space.
Frequent flyer reward redemption barriers & segment drivers (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Frequent flyer reward redemption barriers & segment drivers (India)
OTA versus airline direct booking preference & messaging territories (Southeast Asia)
Frequent flyer reward redemption barriers & segment drivers (India)
OBJECTIVE
A domestic airline's commercial team needed to identify why high-frequency business travelers and leisure repeat bookers accumulated miles but rarely redeemed, and which redemption friction points were driving disengagement from the program.
WHAT WE DID
Ran a structured quant survey across 600 enrolled program members in 8 metro and Tier-1 cities, capturing redemption attempt rates, perceived point value, blackout date friction, category preference, and likelihood to switch to a competing carrier's program.
DELIVERED
A segment-level friction map by traveler type, a ranked list of redemption barriers by severity, a perceived value corridor for miles across categories, and a set of retention levers prioritized by segment switching risk.
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 frequent flyers, occasional leisure travellers and corporate road warriors?
How will you measure platform loyalty preference beyond simple ratings?
Will the survey map the full flight booking journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our loyalty program retention and re-engagement rates?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.