EDUCATION & STUDY ABROAD

Study Abroad Consulting Service Usage Survey

Measure how aspiring international students evaluate, compare, and choose study abroad consultants across service quality, fee structures, and university placement outcomes, so you can sharpen acquisition, refine pricing, and improve conversion across counselling channels.

Pan-India sample
Student aspirants (Active Applicants)
15-20 min
Talk to a Survey Consultant
Consultant selection & drop-offsIdentify where aspirants disengage, switch consultants, or abandon enrolment.
Fee sensitivity & service benchmarksBenchmark consulting fee thresholds, service expectations, and satisfaction scores by 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 study abroad consulting firms don't lose prospective students purely on destination options. They lose them due to counselor credibility gaps, unclear visa success benchmarks, mismatched university shortlisting, fee transparency failures, and post-admission support confusion, none of which fully show up in CRM pipelines or enrollment conversion reports.

If you are...

  • Consulting firm vs aggregator platform
  • Boutique counselor, volume player
  • University partnerships or admissions head
  • Revenue or enrollment growth lead
  • Strategy or product planning head

You're likely facing...

  • Counselor trust vs platform convenience gap
  • Drop-offs at shortlisting or visa stage
  • Boutiques = personal/slow perception
  • Aggregators = fast/generic perception
  • Post-offer switching, retention gaps

This will help answer...

  • Service preference drivers beyond fees
  • Funnel drop-off stage, trigger
  • Boutique vs platform segment fit
  • Fee sensitivity, value perception gap
  • Loyalty triggers, switching conditions

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete aspirant journey from initial country shortlisting to post-enrollment advocacy.

TENETS 01

Discovery & Triggers

  • First information sources consulted
  • Decision triggers, family vs. peer influence
TENETS 02

Consultant Selection

  • Shortlisting criteria for consulting firms
  • Number of firms evaluated before enrollment
TENETS 03

Service Scope

  • Services used vs. services expected
  • Test prep, SOP, visa bundling patterns
TENETS 04

Journey Friction

  • Drop-off points across application stages
  • Documentation delays, counselor responsiveness
TENETS 05

Pricing & WTP

  • Fee paid vs. perceived value delivered
  • Willingness to pay for premium tiers
TENETS 06

Engagement & Retention

  • Counselor continuity across application stages
  • Re-engagement for second intake or referrals
TENETS 07

Trust & Credibility

  • Visa success rate claims, verification behavior
  • University tie-up transparency, alumni proof
TENETS 08

Advocacy & Switching

  • Net promoter behavior, referral triggers
  • Switching reasons across competing firms

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?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the Study Abroad Consulting Service Usage 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 consulting service attributes by student priority
2
Mapping destination preferences across applicant segments
3
Benchmarking satisfaction scores by consulting channel
Deliverables
Attribute ranking
Destination preference matrix
Satisfaction benchmarks
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Students in Tier 2 and Tier 3 cities
2
Quick coverage across multiple regional markets
Deliverables
Regional coverage data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-intent applicants at premium consulting centres
2
Verifying consulting fee sensitivity in key metros
Deliverables
Cohort journey maps
Fee sensitivity 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, targeting student applicants and recent graduates across digital panels and counsellor networks.
Consider adding: CATI for Tier 2 and Tier 3 city respondents with lower digital engagement, and a focused FGD layer to pressure-test consulting value propositions and service messaging.

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)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • 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)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • 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 study abroad consulting space.

CASELET 1

Counsellor selection criteria & trust signals among aspirants (India)

CASELET 2

Post-enrollment satisfaction & retention levers for consulting firms (UK, Canada)

Counsellor selection criteria & trust signals among aspirants (India)

OBJECTIVE

Identify how undergraduate aspirants and postgraduate applicants shortlist and commit to a study abroad consultant, and which trust signals, fee structures, and service expectations drive final counsellor selection over self-navigation.

WHAT WE DID

Ran a structured quant survey across 600 aspirants in 8 Indian cities, capturing counsellor shortlisting steps, information sources, fee sensitivity thresholds, and service tier expectations at each stage of the application journey.

DELIVERED

A segment-level preference map by applicant type, a ranked trust signal framework by counsellor attribute, a fee sensitivity corridor by city tier, and a list of service gaps that push aspirants toward self-navigation.
CASELET 1

Counsellor selection criteria & trust signals among aspirants (India)

CASELET 2

Post-enrollment satisfaction & retention levers for consulting firms (UK, Canada)

Counsellor selection criteria & trust signals among aspirants (India)

OBJECTIVE

Identify how undergraduate aspirants and postgraduate applicants shortlist and commit to a study abroad consultant, and which trust signals, fee structures, and service expectations drive final counsellor selection over self-navigation.

WHAT WE DID

Ran a structured quant survey across 600 aspirants in 8 Indian cities, capturing counsellor shortlisting steps, information sources, fee sensitivity thresholds, and service tier expectations at each stage of the application journey.

DELIVERED

A segment-level preference map by applicant type, a ranked trust signal framework by counsellor attribute, a fee sensitivity corridor by city tier, and a list of service gaps that push aspirants toward self-navigation.

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 applicants, reapplicants and family-led decision-makers?

How will you measure consulting firm preference beyond simple ratings?

Will the survey map the full student advising journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our counselor placement and referral conversion rates?

Still have questions?

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

Book a Discovery Call