RETAIL INVESTING & BROKING

Demat Account Usage & Brokerage Selection Survey

Map how retail investors evaluate platforms, compare brokerage fees, and choose between full-service and discount brokers, so you can sharpen acquisition targeting, refine pricing tiers, and reduce platform churn.

Pan-India sample
Retail investors (Active Demat Account Holders)
15-20 min
Talk to a Survey Consultant
Onboarding friction & drop-offsIdentify where first-time investors stall, disengage, or abandon account activation.
Broker selection drivers & trade-offsBenchmark brokerage fee sensitivity, platform trust signals, and switching triggers.
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CONTEXT & RELEVANCE

Why run this survey now

Most brokers don't lose demat account holders purely on brokerage fees. They lose them due to platform friction, weak onboarding, poor research support, misaligned product discovery, and unmet service expectations, none of which fully show up in account activation reports or trading volume dashboards.

If you are...

  • Full-service broker losing to discount rivals
  • Discount broker defending margin pressure
  • Product head, demat or trading platform
  • Revenue lead, retail brokerage growth
  • Strategy head, wealth or capital markets

You're likely facing...

  • Activation-to-trading drop-off gap
  • Full-service vs discount fit confusion
  • Fee sensitivity vs service value tension
  • Platform stickiness vs switching risk
  • Dormant account reactivation pressure

This will help answer...

  • Broker selection drivers beyond fees
  • Onboarding-to-first-trade drop-off stage
  • Segment preference: full-service vs discount
  • Brokerage pricing tolerance by investor type
  • Platform switching and retention triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete demat account holder journey from broker discovery to long-term portfolio engagement.

TENETS 01

Discovery & Activation

  • First broker touchpoint, channel
  • Account opening trigger events
TENETS 02

Broker Selection Drivers

  • Primary selection criteria ranked
  • Discount vs. full-service trade-off
TENETS 03

Onboarding & KYC

  • KYC completion friction points
  • Time-to-first-trade duration
TENETS 04

Platform & Tools

  • Trading app feature usage frequency
  • Charting, screener, research tools
TENETS 05

Pricing & Charges

  • Brokerage fee sensitivity by segment
  • DP charge, STT awareness levels
TENETS 06

Usage & Engagement

  • Trade frequency, segment mix
  • Dormancy triggers, reactivation patterns
TENETS 07

Trust & Support

  • RM access, grievance resolution speed
  • SEBI compliance, fund safety perception
TENETS 08

Switching & Loyalty

  • Multi-broker holding, primary broker share
  • Churn triggers, retention incentives

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 Demat Account Usage and Brokerage Selection Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across investor segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking broker selection drivers by investor tier
2
Measuring platform switching intent and triggers
3
Comparing segments by age, city, and portfolio size
Deliverables
Broker preference ranking
Switching trigger matrix
Segment comparison cuts
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
First-time investors with low digital survey comfort
2
Quick coverage across Tier 2 and Tier 3 cities
Deliverables
Tier 2 and 3 coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-net-worth investors requiring sensitive portfolio verification
2
Active traders in dense urban brokerage clusters
Deliverables
HNI segment profiles
Rich 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, targeting active demat account holders across digital investor panels and brokerage platforms.
Consider adding: CATI for Tier 2 and Tier 3 city investors with low digital comfort, and a focused FGD layer to pressure-test broker switching narratives and fee sensitivity 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 retail investing and brokerage space.

CASELET 1

Retail investor onboarding friction & platform switching (India)

CASELET 2

Brokerage brand perception & fee sensitivity among HNI investors (India)

Retail investor onboarding friction & platform switching (India)

OBJECTIVE

A digital-first brokerage needed to isolate why first-year account holders stalled after KYC completion, and what drove platform switching among active traders versus passive SIP investors within 6 months of account opening.

WHAT WE DID

Ran a structured quant survey across 600 respondents in 8 cities, capturing onboarding step completion rates , first-trade latency , feature discovery patterns , and stated reasons for switching or dormancy by investor segment and age cohort.

DELIVERED

A friction map by onboarding stage, a segment-level dormancy framework separating intent-gap from experience-gap cases, and a ranked list of platform feature levers most likely to convert dormant holders into first-trade completers.
CASELET 1

Retail investor onboarding friction & platform switching (India)

CASELET 2

Brokerage brand perception & fee sensitivity among HNI investors (India)

Retail investor onboarding friction & platform switching (India)

OBJECTIVE

A digital-first brokerage needed to isolate why first-year account holders stalled after KYC completion, and what drove platform switching among active traders versus passive SIP investors within 6 months of account opening.

WHAT WE DID

Ran a structured quant survey across 600 respondents in 8 cities, capturing onboarding step completion rates , first-trade latency , feature discovery patterns , and stated reasons for switching or dormancy by investor segment and age cohort.

DELIVERED

A friction map by onboarding stage, a segment-level dormancy framework separating intent-gap from experience-gap cases, and a ranked list of platform feature levers most likely to convert dormant holders into first-trade completers.

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 discount brokers, full-service brokers and bank-linked demat providers?

How will you measure brokerage selection beyond simple ratings?

Will the survey map the full demat account opening journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our demat account acquisition and activation rates?

Still have questions?

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

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