TRAVEL & TOURISM

Solo Travel vs Group Travel Preference Survey

Capture how leisure and experience-driven travelers evaluate, compare, and choose between solo and group travel formats across cost, flexibility, and social experience, so you can sharpen segmentation, refine acquisition targeting, and benchmark pricing by traveler profile.

Pan-India Sample
Leisure Travelers (Active Trip Planners)
15-20 min
Talk to a Survey Consultant
Format conversion & drop-offsIdentify where travelers switch intent, stall, or abandon a booking format.
Preference drivers & trade-offsMap cost sensitivity, flexibility needs, and social motivators by traveler segment.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31

CONTEXT & RELEVANCE

Why run this survey now

Most travel brands don't lose solo or group bookers purely on price. They lose them due to misread intent signals, misaligned itinerary formats, poor group-size targeting, friction in the booking flow, and undetected switching triggers, none of which fully show up in booking platform analytics or post-trip satisfaction scores.

If you are...

  • Tour operator, solo vs group split
  • OTA competing on itinerary depth
  • Travel product or packaging lead
  • Revenue or yield planning head
  • Destination marketing or strategy team

You're likely facing...

  • Solo vs group demand misread
  • Package fit confusion: fixed vs flexible
  • Drop-offs at group-size selection stage
  • Solo travelers = niche/low-yield perception
  • Repeat booking gaps: segment switching

This will help answer...

  • Preference drivers beyond price point
  • Booking drop-off stage by segment
  • Solo vs group traveler profiles
  • Willingness to pay: format premium
  • Repeat travel and switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete traveler journey from trip inspiration to post-trip advocacy.

TENETS 01

Travel Mode Identity

  • Solo vs group self-classification
  • Primary travel persona type
TENETS 02

Preference Drivers

  • Top factors favoring solo travel
  • Top factors favoring group travel
TENETS 03

Planning & Booking

  • Booking channels by travel mode
  • Lead time and planning depth
TENETS 04

Spend & Budgeting

  • Per-trip spend by travel mode
  • Cost-sharing models in groups
TENETS 05

Safety & Comfort

  • Safety perception by travel mode
  • Comfort thresholds across destinations
TENETS 06

Experience Priorities

  • Activity preferences by travel mode
  • Flexibility vs structure trade-off
TENETS 07

Social & Digital Influence

  • Peer and content influence on mode choice
  • Post-trip sharing behavior by mode
TENETS 08

Loyalty & Switching

  • Repeat mode behavior across trip types
  • Triggers for switching travel mode

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 Solo Travel vs Group Travel Preference Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking solo vs group travel preference drivers.
2
Measuring trip-type frequency by traveler segment.
3
Comparing preferences across age, income, and geography.
Deliverables
Preference driver ranking
Segment preference matrix
Trip-type frequency bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older or low-digital traveler cohorts offline.
2
Quick coverage across Tier 2 and Tier 3 cities.
Deliverables
Traveler segment coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-frequency travelers requiring in-depth preference verification.
2
Niche cohorts such as solo female or senior travelers.
Deliverables
Cohort journey maps
Contextual preference profiles
OPTIONAL
FGDs
Deliverables
Themes and quotes
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 for low-digital and Tier 2 traveler segments.
Consider adding: F2F for high-frequency or niche traveler cohorts and a focused FGD layer to sharpen messaging and proposition angles.

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
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$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 preference and booking behaviour space.

CASELET 1

Traveller segment & booking channel preference mapping (India)

CASELET 2

Group travel decision dynamics & package pricing corridor study (South Asia)

Traveller segment & booking channel preference mapping (India)

OBJECTIVE

A mid-size online travel aggregator needed to isolate how first-time leisure travellers and repeat independent travellers differ in their destination shortlisting behaviour , trip duration tolerance , and willingness to book without a human touchpoint.

WHAT WE DID

Ran a structured quant survey across 600 respondents in 8 Indian metros, capturing booking trigger events , channel of first search , price sensitivity thresholds by trip type , and stated reasons for abandoning a self-planned itinerary mid-booking.

DELIVERED

A traveller segment framework with 4 distinct profiles, a channel preference map by segment and trip occasion, and a ranked friction list identifying the 6 steps where independent booking intent most frequently collapses.
CASELET 1

Traveller segment & booking channel preference mapping (India)

CASELET 2

Group travel decision dynamics & package pricing corridor study (South Asia)

Traveller segment & booking channel preference mapping (India)

OBJECTIVE

A mid-size online travel aggregator needed to isolate how first-time leisure travellers and repeat independent travellers differ in their destination shortlisting behaviour , trip duration tolerance , and willingness to book without a human touchpoint.

WHAT WE DID

Ran a structured quant survey across 600 respondents in 8 Indian metros, capturing booking trigger events , channel of first search , price sensitivity thresholds by trip type , and stated reasons for abandoning a self-planned itinerary mid-booking.

DELIVERED

A traveller segment framework with 4 distinct profiles, a channel preference map by segment and trip occasion, and a ranked friction list identifying the 6 steps where independent booking intent most frequently collapses.

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 solo-first travelers, group-first travelers and mixed-format travelers?

How will you measure travel format preference beyond simple ratings?

Will the survey map the full trip planning journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our itinerary design and campaign targeting?

Still have questions?

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

Book a Discovery Call