FOREX & REMITTANCE SERVICES

Foreign Exchange & Remittance Service Usage Survey

Measure how retail and diaspora customers evaluate, compare, and choose foreign exchange and remittance providers across rate transparency, transfer speed, and channel convenience, so you can sharpen acquisition targeting, fix pricing positioning, and reduce conversion drop-offs.

Pan-India sample
Retail forex users (Active Remittance Senders)
15-20 min
Talk to a Survey Consultant
Channel friction & drop-offsIdentify where remittance senders abandon transactions across digital and branch touchpoints.
Rate sensitivity & provider switchingBenchmark exchange rate thresholds and fee tolerance that trigger provider switching decisions.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most remittance and FX service providers don't lose senders purely on exchange rates. They lose them due to opaque fee structures, corridor-specific trust gaps, onboarding friction, provider switching at payout, and misaligned channel preferences, none of which fully show up in transaction logs or customer satisfaction scores.

If you are...

  • Bank vs fintech FX competition
  • Remittance corridor growth lead
  • FX product or pricing head
  • Digital wallet remittance team
  • Strategy lead, cross-border payments

You're likely facing...

  • Provider switch at payout stage
  • Rate vs fee perception gap
  • Banks = safe/slow perception
  • Fintechs = cheap/untrusted perception
  • Corridor fit: urban vs diaspora

This will help answer...

  • Primary provider selection drivers
  • Drop-off corridor and channel
  • Segment preference by sender profile
  • Fee tolerance vs rate sensitivity
  • Switching triggers and loyalty gaps

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete remittance sender journey from corridor discovery to repeat transfer loyalty.

TENETS 01

Discovery & Awareness

  • First provider encountered, channel source
  • Referral networks, diaspora word-of-mouth
TENETS 02

Provider Selection

  • Rate transparency, fee visibility at checkout
  • Speed expectations by corridor segment
TENETS 03

Onboarding & KYC

  • Document burden, identity verification steps
  • Drop-off points during registration flow
TENETS 04

Pricing & Rates

  • FX margin tolerance, fee sensitivity by amount
  • Rate lock, forward contract awareness
TENETS 05

Transfer Experience

  • Channel preference, app versus branch versus agent
  • Delivery speed, real-time tracking expectations
TENETS 06

Trust & Compliance

  • Regulatory confidence, licensing awareness by market
  • Fraud incidents, dispute resolution experience
TENETS 07

Loyalty & Retention

  • Transfer frequency, wallet share across providers
  • Reward programs, referral incentive uptake
TENETS 08

Competitive Positioning

  • Provider switching triggers, churn corridors
  • Unmet needs, white-space service gaps

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 Foreign Exchange and Remittance 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 preferred remittance channels by corridor and frequency.
2
Measuring fee sensitivity and exchange rate tolerance.
3
Comparing segments by sender profile, destination, and transfer value.
Deliverables
Channel preference ranking
Fee sensitivity matrix
Corridor segment map
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Migrant workers with limited smartphone or internet access.
2
Quick coverage across multiple remittance-dense 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 trust and identity verification.
2
Remittance agents and forex counters in dense urban corridors.
Deliverables
Agent channel insights
Rich sender journey maps
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 migrant worker segments with low digital access across key remittance corridors.
Consider adding: Face-to-face interviews for high-value sender cohorts and forex agent clusters, plus a focused FGD layer to pressure-test provider switching triggers and digital onboarding 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 foreign exchange and remittance space.

CASELET 1

Remittance channel preference & friction mapping (South Asia corridors)

CASELET 2

Forex card & travel currency messaging territories (Urban India)

Remittance channel preference & friction mapping (South Asia corridors)

OBJECTIVE

A digital-first money transfer operator needed to isolate why frequent remitters and occasional senders split across bank transfers , mobile wallets , and agent networks , and which friction points drove corridor-specific abandonment decisions.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 4 remittance corridors, capturing channel shortlisting criteria , fee sensitivity thresholds , transfer frequency , trust triggers by provider type , and stated reasons for switching or staying with a primary channel.

DELIVERED

A corridor-level channel preference map , a ranked friction list by sender segment, a fee tolerance corridor for each remittance value band, and a set of retention levers tied to specific moments in the transfer journey.
CASELET 1

Remittance channel preference & friction mapping (South Asia corridors)

CASELET 2

Forex card & travel currency messaging territories (Urban India)

Remittance channel preference & friction mapping (South Asia corridors)

OBJECTIVE

A digital-first money transfer operator needed to isolate why frequent remitters and occasional senders split across bank transfers , mobile wallets , and agent networks , and which friction points drove corridor-specific abandonment decisions.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 4 remittance corridors, capturing channel shortlisting criteria , fee sensitivity thresholds , transfer frequency , trust triggers by provider type , and stated reasons for switching or staying with a primary channel.

DELIVERED

A corridor-level channel preference map , a ranked friction list by sender segment, a fee tolerance corridor for each remittance value band, and a set of retention levers tied to specific moments in the transfer journey.

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 transfer users, digital remittance app users and cash agent network users?

How will you measure FX provider preference beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our corridor 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