MUTUAL FUNDS & WEALTH

Mutual Fund Brand Positioning & Retail Investor Trust Formation Survey

Retail investors evaluate, compare, and choose mutual fund brands based on perceived credibility, distributor influence, and past return narratives, so you can sharpen brand positioning, fix acquisition conversion, and benchmark trust signals by investor segment.

Pan-India sample
Retail investors (Active MF Decision-Makers)
15-20 min
Talk to a Survey Consultant
Trust gaps & conversion drop-offsIdentify where first-time investors hesitate, stall, or abandon fund selection.
Brand signals & segment rankingBenchmark credibility drivers across income bands, age cohorts, and distributor channels.
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 mutual fund houses don't lose retail investors purely on returns. They lose them due to weak brand recall, misread trust signals, distributor-investor misalignment, category confusion, and poor onboarding perception, none of which fully show up in AUM dashboards or redemption reports.

If you are...

  • AMC brand or product head
  • Distributor network competing on shelf
  • Retail investor acquisition lead
  • Fund positioning strategy director
  • Digital channel growth team

You're likely facing...

  • Brand recall gap: AMC vs category
  • Trust deficit: first-time investor segment
  • SIP drop-off: onboarding vs month three
  • AMCs = safe/undifferentiated perception
  • Distributor vs direct channel conflict

This will help answer...

  • Trust drivers beyond past returns
  • SIP drop-off stage and trigger
  • Segment preference by investor tier
  • Fee sensitivity vs brand premium
  • Switching triggers and loyalty signals

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete retail investor journey from fund discovery to long-term scheme loyalty.

TENETS 01

Discovery & Awareness

  • First fund touchpoint, channel source
  • AMC recall, unaided brand salience
TENETS 02

Brand Perception

  • AMC image attributes, investor vocabulary
  • Perceived safety, credibility signals
TENETS 03

Trust Formation

  • Trust triggers, first investment decision
  • Distributor influence vs. self-research
TENETS 04

Scheme Selection

  • Category preference, risk label comprehension
  • SIP vs. lump-sum decision triggers
TENETS 05

Channel & Intermediary

  • IFA, direct platform, bank channel split
  • Intermediary trust vs. AMC brand trust
TENETS 06

Communication & Engagement

  • Statement frequency, portfolio update preferences
  • AMC digital touchpoint satisfaction
TENETS 07

Redemption & Switching

  • Exit triggers, redemption decision timeline
  • AMC switching barriers, loyalty inertia
TENETS 08

Advocacy & Loyalty

  • Referral behaviour, word-of-mouth triggers
  • Long-term SIP continuation 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?
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 Mutual Fund Brand Positioning and Retail Investor Trust Formation 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 brand trust drivers across fund houses
2
Mapping SIP vs lump-sum investor preference shifts
3
Comparing segments by city tier, age, and income band
Deliverables
Brand trust index
Driver ranking matrix
Segment preference map
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 engagement
2
Tier 2 and Tier 3 city retail investor coverage
Deliverables
Regional trust benchmarks
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-AUM investors requiring in-depth trust verification
2
Distributor-influenced segments in specific geographies
Deliverables
Cohort trust profiles
Rich journey maps
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 for first-time and low-digital retail investors in Tier 2 and Tier 3 cities.
Consider adding: F2F interviews for high-AUM cohorts and distributor-influenced segments, plus a focused FGD layer to pressure-test brand positioning and trust 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 mutual fund and retail investment space.

CASELET 1

Distributor channel preference & investor acquisition levers (India)

CASELET 2

Fund category perception & scheme differentiation audit (West India)

Distributor channel preference & investor acquisition levers (India)

OBJECTIVE

A mid-size asset management firm needed to identify which distributor archetypes (IFAs, digital platforms, bank branches) drove first-time SIP conversions and what channel-level messaging shifted consideration among first-generation retail investors.

WHAT WE DID

Ran a structured quant survey across 600 retail investors in 8 cities, capturing channel of first contact, distributor trust signals, message recall, scheme shortlisting criteria, and stated reasons for SIP initiation or deferral by investor income tier.

DELIVERED

A channel preference map by investor segment, a ranked list of trust formation triggers at each distributor touchpoint, and a set of message territories differentiated by channel type and investor financial literacy level.
CASELET 1

Distributor channel preference & investor acquisition levers (India)

CASELET 2

Fund category perception & scheme differentiation audit (West India)

Distributor channel preference & investor acquisition levers (India)

OBJECTIVE

A mid-size asset management firm needed to identify which distributor archetypes (IFAs, digital platforms, bank branches) drove first-time SIP conversions and what channel-level messaging shifted consideration among first-generation retail investors.

WHAT WE DID

Ran a structured quant survey across 600 retail investors in 8 cities, capturing channel of first contact, distributor trust signals, message recall, scheme shortlisting criteria, and stated reasons for SIP initiation or deferral by investor income tier.

DELIVERED

A channel preference map by investor segment, a ranked list of trust formation triggers at each distributor touchpoint, and a set of message territories differentiated by channel type and investor financial literacy level.

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 first-time investors, experienced SIP holders and lapsed investors?

How will you measure fund house preference beyond simple ratings?

Will the survey map the full investor consideration journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our distributor and direct channel acquisition strategy?

Still have questions?

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

Book a Discovery Call