TRAVEL INSURANCE & PROTECTION

Travel Insurance Purchase Trigger Survey

Map how leisure and business travellers evaluate coverage options, compare providers, and choose policies across trip types and risk scenarios, so you can sharpen acquisition targeting, refine pricing tiers, and improve conversion at point of sale.

Pan-India sample
Travellers (Recent or Planned Purchasers)
15-20 min
Talk to a Survey Consultant
Purchase friction & drop-offsIdentify where travellers hesitate, stall, or abandon the policy purchase journey.
Trigger timing & segment signalsIsolate the exact events and trip profiles that activate insurance purchase intent.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most travel insurers don't lose policy conversions purely on premium price. They lose them due to mistimed outreach, misread trip intent, unclear coverage relevance, weak point-of-sale prompts, and unresolved claims distrust, none of which fully show up in policy issuance reports or channel sales dashboards.

If you are...

  • Travel insurer vs aggregator competition
  • Bancassurance or co-branded card channel
  • Product head, retail travel lines
  • Distribution or partnership growth lead
  • Pricing or underwriting strategy team

You're likely facing...

  • Trigger timing gap: browse vs booking
  • Drop-offs at checkout or visa stage
  • Aggregators = cheap/generic perception
  • Direct channel = premium/complex perception
  • Lapsed buyers: single trip, no renewal

This will help answer...

  • Primary purchase trigger by segment
  • Conversion drop-off stage and cause
  • Solo vs group buyer preference split
  • Price sensitivity vs coverage priority
  • Repeat purchase and switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete travel insurance journey from trip-planning to post-claim renewal.

TENETS 01

Trigger & Awareness

  • First purchase trigger events
  • Awareness channel by trip type
TENETS 02

Channel & Discovery

  • Purchase channel preference by segment
  • Aggregator vs. direct insurer reach
TENETS 03

Coverage Preference

  • Must-have cover types ranked
  • Optional add-on uptake rates
TENETS 04

Pricing & WTP

  • Acceptable premium range by trip duration
  • Price sensitivity vs. coverage trade-off
TENETS 05

Purchase Friction

  • Drop-off points in buying journey
  • Documentation and form-fill barriers
TENETS 06

Trust & Credibility

  • Brand trust signals at point of sale
  • Claims reputation influence on choice
TENETS 07

Claims & Renewal

  • Claims filing experience by channel
  • Renewal intent after claim event
TENETS 08

Competitive Positioning

  • Shortlisted insurers per purchase cycle
  • Switching triggers and loyalty barriers

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.

Sample size
How many respondents do you need?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the Travel Insurance Purchase Trigger Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across traveller segments and purchase contexts.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking triggers that convert browsers to buyers.
2
Mapping coverage gaps by trip type and destination.
3
Comparing segments by age, channel, and trip frequency.
Deliverables
Trigger ranking matrix
Segment gap map
Channel preference bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older travellers with low digital purchase comfort.
2
Quick pulse across tier-2 and tier-3 travel markets.
Deliverables
Offline segment coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Frequent business travellers requiring high-value policy verification.
2
Airport and travel-agent intercepts for in-moment trigger capture.
Deliverables
Intercept journey maps
High-value cohort profiles
OPTIONAL
FGDs
Deliverables
Themes and quotes
Messaging concept feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, supported by CATI to reach low-digital and tier-2 traveller segments who purchase through offline or agent-assisted channels.
Consider adding: Face-to-face intercepts at airports and travel agencies for in-moment trigger data, plus a focused FGD layer to pressure-test claims messaging and coverage communication with frequent travellers.

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

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

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

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
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  • Aruban Florin (AWG)
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  • Barbadian Dollar (BBD)
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  • Brunei Dollar (BND)
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  • British Pound (GBP)
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  • Lesotho Loti (LSL)
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  • Malagasy Ariary (MGA)
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  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
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  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
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  • Tunisian Dinar (TND)
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  • Turkish Lira (TRY)
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  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

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 insurance space.

CASELET 1

Travel insurance channel preference & friction mapping (India)

CASELET 2

Claims experience & renewal intent diagnostics among expatriate policyholders (Southeast Asia)

Travel insurance channel preference & friction mapping (India)

OBJECTIVE

A mid-size travel insurer needed to identify why frequent leisure travellers and corporate road warriors defaulted to OTA-bundled cover over standalone policies, and which friction points caused mid-funnel drop-off.

WHAT WE DID

Ran a structured quant survey across 600 respondents in 8 cities, capturing channel shortlisting behaviour , price sensitivity thresholds , perceived coverage adequacy , and the specific steps where purchase intent collapsed before checkout.

DELIVERED

A channel preference map by traveller segment, a ranked friction list across 6 purchase stages, and a set of pricing corridor benchmarks by trip type to sharpen standalone policy positioning against bundled alternatives.
CASELET 1

Travel insurance channel preference & friction mapping (India)

CASELET 2

Claims experience & renewal intent diagnostics among expatriate policyholders (Southeast Asia)

Travel insurance channel preference & friction mapping (India)

OBJECTIVE

A mid-size travel insurer needed to identify why frequent leisure travellers and corporate road warriors defaulted to OTA-bundled cover over standalone policies, and which friction points caused mid-funnel drop-off.

WHAT WE DID

Ran a structured quant survey across 600 respondents in 8 cities, capturing channel shortlisting behaviour , price sensitivity thresholds , perceived coverage adequacy , and the specific steps where purchase intent collapsed before checkout.

DELIVERED

A channel preference map by traveller segment, a ranked friction list across 6 purchase stages, and a set of pricing corridor benchmarks by trip type to sharpen standalone policy positioning against bundled alternatives.

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 first-time buyers, lapsed policyholders and habitual non-purchasers?

How will you measure purchase trigger strength beyond simple ratings?

Will the survey map the full travel insurance purchase journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our distribution and attachment rate performance?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

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