CROSS-BORDER PAYMENTS & FX

Cross-Border Payments & FX Decision Study

Map how treasury leads, payments heads, and CFOs evaluate corridor coverage, FX pricing, and settlement speed, so you can sharpen acquisition targeting, convert high-value segments, and benchmark your pricing position.

Multi-Market Sample
Treasury & Payments Teams (C-Suite / VP-Level Decision-Makers)
15-20 min
Talk to a Survey Consultant
Corridor friction & conversion gapsIdentify where payment flows stall, switch providers, or fail compliance checks.
FX pricing sensitivity & trade-offsBenchmark rate tolerance, fee structures, and speed-versus-cost trade-offs by segment.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most treasury and payments leaders don't lose cross-border volume purely on FX rates. They lose it due to opaque fee structures, corridor-level trust gaps, settlement speed mismatches, compliance friction, and provider switching costs, none of which fully show up in transaction reporting dashboards or bank reconciliation tools.

If you are...

  • Bank vs fintech FX competition
  • Payments network expansion lead
  • Treasury or FX product head
  • Cross-border revenue growth lead
  • Correspondent banking strategy team

You're likely facing...

  • Corridor fit confusion: bank vs fintech
  • Drop-offs at compliance or settlement stage
  • Banks = secure/slow perception
  • Fintechs = fast/opaque-fee perception
  • Provider switching at renewal or volume spike

This will help answer...

  • Provider preference drivers beyond rate
  • Corridor-level drop-off stage
  • Bank vs fintech segment split
  • Fee transparency vs speed trade-off
  • Switching triggers at contract renewal

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete cross-border payment journey from provider discovery to long-term corridor commitment.

TENETS 01

Discovery & Awareness

  • First provider touchpoint, corridor
  • Referral channels, peer networks
TENETS 02

Provider Selection

  • Selection criteria, corridor fit
  • Shortlisting process, decision timeline
TENETS 03

Pricing & FX Costs

  • Spread tolerance, fee benchmarks
  • Hidden charges, total cost visibility
TENETS 04

Settlement & Speed

  • T+0 to T+2 expectations, corridor variance
  • Failure rates, retry workflows
TENETS 05

Compliance & Risk

  • KYC, AML documentation burden
  • Regulatory corridor restrictions, sanctions exposure
TENETS 06

Platform & Integration

  • API connectivity, ERP integration depth
  • Portal usability, bulk payment workflows
TENETS 07

Switching & Loyalty

  • Churn triggers, re-evaluation cycles
  • Multi-provider strategy, wallet share
TENETS 08

Corridor Expansion

  • New market entry, payment rail gaps
  • Local currency demand, corridor prioritisation

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 Cross-Border Payments and FX Decision Study, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across treasury, payments, and finance functions.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking FX provider selection criteria by segment
2
Measuring corridor-level payment friction and cost sensitivity
3
Comparing treasury behavior across firm size and region
Deliverables
Provider preference ranking
FX cost benchmarks
Corridor friction matrix
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
SME owners with low digital survey engagement
2
Quick pulse across emerging market corridors
Deliverables
SME corridor coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-volume treasury teams requiring verification
2
Trade finance clusters with complex FX workflows
Deliverables
Cluster insights
Rich decision maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Proposition 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 SME owners and emerging-market corridors with low digital survey participation.
Consider adding: F2F interviews for high-volume treasury and trade finance cohorts, plus a focused FGD layer to pressure-test FX provider messaging and switching triggers.

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 payments and FX space.

CASELET 1

FX pricing perception & corridor preference among SME exporters (India)

CASELET 2

Remittance channel trust & friction audit among diaspora senders (Southeast Asia)

FX pricing perception & corridor preference among SME exporters (India)

OBJECTIVE

A mid-size payments platform needed to map how SME exporters and import-heavy traders evaluate FX rate transparency , conversion timing decisions , and provider switching triggers across high-volume trade corridors.

WHAT WE DID

Ran a structured quant survey across 320 finance leads at SMEs in five export clusters, capturing rate benchmarking behavior , provider shortlist criteria , hedging frequency , and tolerance thresholds for spread variance by corridor and transaction size band.

DELIVERED

A corridor-level pricing corridor by segment, a ranked provider switching trigger list , a rate transparency friction map by transaction size, and a set of positioning territories for the platform's SME acquisition messaging.
CASELET 1

FX pricing perception & corridor preference among SME exporters (India)

CASELET 2

Remittance channel trust & friction audit among diaspora senders (Southeast Asia)

FX pricing perception & corridor preference among SME exporters (India)

OBJECTIVE

A mid-size payments platform needed to map how SME exporters and import-heavy traders evaluate FX rate transparency , conversion timing decisions , and provider switching triggers across high-volume trade corridors.

WHAT WE DID

Ran a structured quant survey across 320 finance leads at SMEs in five export clusters, capturing rate benchmarking behavior , provider shortlist criteria , hedging frequency , and tolerance thresholds for spread variance by corridor and transaction size band.

DELIVERED

A corridor-level pricing corridor by segment, a ranked provider switching trigger list , a rate transparency friction map by transaction size, and a set of positioning territories for the platform's SME acquisition messaging.

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-led, specialist FX provider and multi-rail platform users?

How will you measure FX provider preference beyond simple ratings?

Will the survey map the full cross-border payment journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our cross-border sales and retention strategy?

Still have questions?

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

Book a Discovery Call