REMITTANCE & CROSS-BORDER PAYMENTS

Remittance Service Brand Trust & Sender Platform Preference Survey

Overseas senders evaluate transfer fees, delivery speed, and platform reliability when choosing between remittance providers, so you can sharpen acquisition messaging, fix pricing positioning, and improve sender retention by corridor.

Multi-Market sample
Overseas remittance senders (Active cross-border senders)
15-20 min
Talk to a Survey Consultant
Trust signals & switching triggersIdentify the exact moments senders abandon a platform for a competitor.
Corridor preference & fee sensitivityBenchmark fee tolerance, transfer frequency, and platform loyalty by corridor 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 remittance providers don't lose senders purely on transfer fees. They lose them due to trust deficits, unfamiliar brand signals, poor corridor reputation, app friction at onboarding, and fee transparency gaps, none of which fully show up in transaction logs or app store ratings.

If you are...

  • Bank-backed remittance corridor head
  • Fintech transfer platform growth lead
  • Remittance product and pricing manager
  • Diaspora segment acquisition strategist
  • Partnership and agent network director

You're likely facing...

  • Brand trust gap: digital vs cash agents
  • Sender drop-off at platform registration
  • Fintechs = cheap/unreliable perception
  • Fee clarity vs hidden charges tension
  • Corridor switching after single bad transfer

This will help answer...

  • Trust drivers beyond transfer speed
  • Platform drop-off stage by corridor
  • Segment preference: app vs agent
  • Fee sensitivity vs brand loyalty tradeoff
  • Switching triggers post failed transfer

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete remittance sender journey from corridor discovery to long-term platform loyalty.

TENETS 01

Corridor & Discovery

  • Primary send corridors used
  • First-touch channel, referral source
TENETS 02

Platform Preference

  • App, agent, bank branch usage
  • Preferred payout method, recipient side
TENETS 03

Brand Trust

  • Trust signals, regulatory reassurance
  • Brand recall across competing providers
TENETS 04

Fee Sensitivity

  • Transfer fee tolerance by send amount
  • FX margin awareness, rate comparison
TENETS 05

Transfer Experience

  • Speed expectations, delivery confirmation
  • KYC friction, document upload drop-offs
TENETS 06

Loyalty & Retention

  • Send frequency, repeat usage patterns
  • Loyalty programme awareness, redemption
TENETS 07

Complaint & Recovery

  • Failed transfer resolution timelines
  • Support channel preference, escalation path
TENETS 08

Competitive Switching

  • Switch triggers, provider exit reasons
  • Multi-provider hedging behaviour

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 Remittance Service Brand Trust and Sender Platform 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 platform trust across remittance corridors
2
Measuring fee sensitivity and transfer frequency
3
Comparing sender segments by corridor, tenure, and channel
Deliverables
Trust score index
Platform preference matrix
Corridor-level rankings
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Senders with low smartphone or app adoption
2
Rapid coverage across diaspora clusters and geographies
Deliverables
Corridor 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-value senders requiring verification and context
2
Remittance agents and cash-pickup corridor operators
Deliverables
Sender journey maps
Agent channel insights
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 to reach senders with low digital adoption across key remittance corridors.
Consider adding: F2F interviews for high-value sender cohorts and remittance agents, plus a focused FGD layer to pressure-test trust drivers and platform 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 cross-border remittance and digital payments space.

CASELET 1

Digital wallet adoption & fee sensitivity among diaspora senders (GCC)

CASELET 2

Receiver-side friction & payout channel preference study (South Asia)

Digital wallet adoption & fee sensitivity among diaspora senders (GCC)

OBJECTIVE

Map how first-generation migrant workers and established diaspora professionals in the GCC choose between bank transfers , exchange houses , and app-based remittance platforms , and identify the fee thresholds that trigger platform switching.

WHAT WE DID

Ran a structured quant survey across 480 respondents in three GCC corridors, capturing platform shortlists , fee tolerance bands , transfer frequency , speed expectations , and trust signals by sender income tier and remittance tenure.

DELIVERED

A corridor-level preference map , a fee sensitivity corridor by sender segment, a ranked trust signal framework separating brand cues from peer referral cues, and a switching trigger list by platform type.
CASELET 1

Digital wallet adoption & fee sensitivity among diaspora senders (GCC)

CASELET 2

Receiver-side friction & payout channel preference study (South Asia)

Digital wallet adoption & fee sensitivity among diaspora senders (GCC)

OBJECTIVE

Map how first-generation migrant workers and established diaspora professionals in the GCC choose between bank transfers , exchange houses , and app-based remittance platforms , and identify the fee thresholds that trigger platform switching.

WHAT WE DID

Ran a structured quant survey across 480 respondents in three GCC corridors, capturing platform shortlists , fee tolerance bands , transfer frequency , speed expectations , and trust signals by sender income tier and remittance tenure.

DELIVERED

A corridor-level preference map , a fee sensitivity corridor by sender segment, a ranked trust signal framework separating brand cues from peer referral cues, and a switching trigger list by platform type.

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 bank-based senders, standalone app users and agent network users?

How will you measure platform preference beyond simple ratings?

Will the survey map the full remittance transfer journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our platform acquisition and retention strategy?

Still have questions?

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

Book a Discovery Call