TRADE FINANCE & BANKING

Trade Finance & Letter of Credit Usage Survey

Map how corporate treasury teams and trade finance managers evaluate, compare, and navigate LC structures, open account terms, and bank guarantee instruments, so you can sharpen acquisition targeting, benchmark pricing, and fix conversion gaps in your trade finance portfolio.

Multi-Market sample
Corporate treasurers (Trade Finance Decision-Makers)
15-20 min
Talk to a Survey Consultant
LC adoption friction & drop-offsIdentify where corporate buyers stall, switch instruments, or abandon LC applications.
Instrument selection & trade-offsBenchmark pricing thresholds, tenure preferences, and bank selection criteria 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 trade finance teams don't lose corporate clients purely on instrument pricing. They lose them due to LC issuance delays, opaque fee structures, correspondent bank friction, collateral rigidity, and digital process gaps, none of which fully show up in transaction monitoring reports or treasury management dashboards.

If you are...

  • Trade finance product head
  • Bank vs fintech LC competition
  • Corporate treasury or CFO
  • GTM or channel distribution lead
  • Transaction banking strategy head

You're likely facing...

  • LC vs open account preference shift
  • Drop-offs: collateral or compliance stage
  • Banks = secure/slow perception
  • Fintechs = fast/limited coverage perception
  • Renewal friction: fee or turnaround gaps

This will help answer...

  • LC adoption drivers by segment
  • Drop-off stage in issuance cycle
  • Bank vs fintech instrument preference
  • Fee sensitivity and pricing tolerance
  • Switching triggers and renewal barriers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete trade finance journey from instrument selection to post-settlement review.

TENETS 01

Instrument Selection

  • LC vs. open account preference
  • Documentary credit type mix
TENETS 02

Bank & Issuer Choice

  • Issuing bank selection criteria
  • Correspondent network coverage gaps
TENETS 03

Documentation & Compliance

  • Discrepancy rates, document rejection
  • UCP 600 compliance burden
TENETS 04

Processing & Turnaround

  • LC issuance to settlement timelines
  • Amendment cycle frequency
TENETS 05

Pricing & Cost Burden

  • Fee structures, margin compression
  • Cost benchmarks across corridors
TENETS 06

Digital & Platform Adoption

  • Trade portal usage, SWIFT integration
  • Paper-to-digital migration barriers
TENETS 07

Risk & Counterparty Trust

  • Country risk, confirming bank reliance
  • Fraud exposure, beneficiary verification
TENETS 08

Competitive & Future Intent

  • Alternative instrument consideration
  • Supply chain finance, fintech displacement

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 Trade Finance & Letter of Credit Usage Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across corporate treasury and trade finance functions.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking LC vs open account preference by trade corridor
2
Quantifying documentary credit utilisation by transaction size
3
Comparing segments by sector, geography, and annual trade volume
Deliverables
LC utilisation scorecard
Corridor preference matrix
Fee sensitivity bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Mid-market exporters with low digital survey engagement
2
Quick coverage across multiple port cities and trade hubs
Deliverables
Exporter segment coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Large-ticket importers requiring document-level verification
2
Commodity traders in concentrated export manufacturing zones
Deliverables
Cluster trade profiles
LC friction maps
OPTIONAL
FGDs
Deliverables
Themes and verbatims
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 to reach mid-market exporters and importers with lower digital survey participation.
Consider adding: Face-to-face interviews for high-value trade finance cohorts in key port and manufacturing clusters, plus a focused FGD layer to pressure-test bank selection criteria and LC fee communication.

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 trade finance and cross-border credit space.

CASELET 1

Documentary credit friction & channel preference mapping (India)

CASELET 2

Supply chain finance adoption barriers among mid-market importers (West India)

Documentary credit friction & channel preference mapping (India)

OBJECTIVE

A regional private bank needed to identify why mid-market exporters and first-time LC applicants stalled at the document submission stage , and which competing channels they shifted to when internal processing timelines slipped.

WHAT WE DID

Ran a structured quant survey across 240 export-oriented SMEs in five port-adjacent cities, capturing document rejection rates, turnaround expectations, bank shortlist criteria, and the specific processing steps where applicants disengaged or switched lenders.

DELIVERED

A stage-by-stage friction map across the LC issuance journey, a ranked list of drop-off triggers by exporter segment , and a set of channel levers to recover applicants who had shifted to correspondent bank arrangements.
CASELET 1

Documentary credit friction & channel preference mapping (India)

CASELET 2

Supply chain finance adoption barriers among mid-market importers (West India)

Documentary credit friction & channel preference mapping (India)

OBJECTIVE

A regional private bank needed to identify why mid-market exporters and first-time LC applicants stalled at the document submission stage , and which competing channels they shifted to when internal processing timelines slipped.

WHAT WE DID

Ran a structured quant survey across 240 export-oriented SMEs in five port-adjacent cities, capturing document rejection rates, turnaround expectations, bank shortlist criteria, and the specific processing steps where applicants disengaged or switched lenders.

DELIVERED

A stage-by-stage friction map across the LC issuance journey, a ranked list of drop-off triggers by exporter segment , and a set of channel levers to recover applicants who had shifted to correspondent bank arrangements.

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 LC-dependent importers, open-account traders and mixed-instrument users?

How will you measure instrument selection beyond simple ratings?

Will the survey map the full LC and trade finance origination journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our trade finance client acquisition and retention?

Still have questions?

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

Book a Discovery Call