DIGITAL PAYMENTS & FINTECH

Debit Card vs UPI Payment Preference Survey

Measure how retail banking customers evaluate, compare, and choose between debit cards and UPI across transaction value, convenience, and trust, so you can sharpen acquisition targeting, fix channel conversion gaps, and refine retention segmentation.

Pan-India sample
Retail banking customers (Active Digital Payment Users)
15-20 min
Talk to a Survey Consultant
Channel friction & drop-offsIdentify where payment users switch, hesitate, or abandon a channel mid-transaction.
Preference drivers & segmentationBenchmark debit card versus UPI adoption across income, age, and transaction-size segments.
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CONTEXT & RELEVANCE

Why run this survey now

Most payment product heads don't lose debit card volume purely on reward gaps. They lose it due to UPI habit entrenchment, checkout friction differences, merchant incentive misalignment, demographic trust gaps, and transaction-size segmentation, none of which fully show up in transaction logs or card issuance reports.

If you are...

  • Card network or issuing bank
  • UPI payment app product team
  • Payments revenue or pricing head
  • Merchant acquiring strategy lead
  • Retail banking portfolio planner

You're likely facing...

  • Debit card volume: steady UPI erosion
  • Segment confusion: youth vs salaried users
  • UPI = free/frictionless perception
  • Cards = secure/rewarded but underused
  • Merchant acceptance: offline vs online gap

This will help answer...

  • Primary preference drivers by segment
  • Checkout drop-off by payment mode
  • UPI vs card switching triggers
  • Fee tolerance across transaction sizes
  • Retention levers for card usage

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete payment preference journey from instrument selection to habitual usage.

TENETS 01

Discovery & Adoption

  • First payment method tried
  • Onboarding trigger, channel source
TENETS 02

Preference Drivers

  • Speed, convenience, familiarity
  • Situational debit vs UPI choice
TENETS 03

Usage & Frequency

  • Transaction volume by method
  • Category-wise payment split
TENETS 04

Journey Friction

  • Failed transactions, decline rates
  • Fallback behaviour after failure
TENETS 05

Rewards & Incentives

  • Cashback, reward point sensitivity
  • Offer redemption behaviour
TENETS 06

Trust & Security

  • Fraud concern by payment rail
  • Dispute resolution confidence
TENETS 07

Segment & Demographics

  • Age, income, city-tier split
  • Primary bank relationship type
TENETS 08

Competitive Positioning

  • UPI app brand preference ranking
  • Debit network switching intent

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 Debit Card vs UPI Payment 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 debit card vs UPI preference by use case.
2
Mapping friction points at point-of-payment.
3
Comparing segments by age, income, and city tier.
Deliverables
Preference ranking
Segment gap matrix
Friction index
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Semi-urban users with low smartphone payment adoption.
2
Quick coverage across Tier 2 and Tier 3 towns.
Deliverables
Tier 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 spenders requiring in-context payment verification.
2
Merchant-facing cohorts at physical retail touchpoints.
Deliverables
Merchant context maps
High-value cohort profiles
OPTIONAL
FGDs
Deliverables
Themes and quotes
Messaging 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 capture semi-urban and low-digital payment users across Tier 2 and Tier 3 towns.
Consider adding: F2F interviews at high-footfall retail and merchant clusters, plus a focused FGD layer to pressure-test debit card retention messaging and UPI 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
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$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 retail payments and digital banking space.

CASELET 1

Contactless payment adoption & friction mapping among urban salaried segments (India)

CASELET 2

Merchant payment instrument preference & switching intent study (North India)

Contactless payment adoption & friction mapping among urban salaried segments (India)

OBJECTIVE

A mid-size private bank needed to identify why urban salaried millennials and gig economy workers stalled at contactless card adoption , specifically which friction points at the point-of-sale stage drove reversion to cash or wallet-based alternatives.

WHAT WE DID

Ran a structured quant survey across 6 metros with 480 respondents, capturing transaction frequency by channel , trust signals at checkout , perceived security risk , and merchant acceptance gaps across grocery, transit, and quick-service restaurant categories.

DELIVERED

A friction map by transaction category , a ranked list of trust barriers by segment , a channel preference corridor across income bands, and a set of message territories to reposition contactless as the default low-value payment mode.
CASELET 1

Contactless payment adoption & friction mapping among urban salaried segments (India)

CASELET 2

Merchant payment instrument preference & switching intent study (North India)

Contactless payment adoption & friction mapping among urban salaried segments (India)

OBJECTIVE

A mid-size private bank needed to identify why urban salaried millennials and gig economy workers stalled at contactless card adoption , specifically which friction points at the point-of-sale stage drove reversion to cash or wallet-based alternatives.

WHAT WE DID

Ran a structured quant survey across 6 metros with 480 respondents, capturing transaction frequency by channel , trust signals at checkout , perceived security risk , and merchant acceptance gaps across grocery, transit, and quick-service restaurant categories.

DELIVERED

A friction map by transaction category , a ranked list of trust barriers by segment , a channel preference corridor across income bands, and a set of message territories to reposition contactless as the default low-value payment mode.

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 debit card primary users, UPI primary users and dual-instrument users?

How will you measure payment instrument preference beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our debit card activation and UPI engagement strategy?

Still have questions?

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

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