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Home ❯Ken Survey ❯CNDP SURVEY ❯
WEALTH MANAGEMENT & ADVISORY

Wealth Management & Advisory Preference Study

Evaluate how affluent investors compare advisory models, choose providers, and weigh fees, expertise, access, digital tools, and trust signals, so you can sharpen acquisition, pricing, segmentation, retention, positioning, and channel strategy.

Pan-India sample
Investors (Wealth decision-makers)
15-20 min
Talk to a Survey Consultant
Acquisition & ConversionIdentify advisory triggers that improve prospect targeting and conversion.
Preference & SegmentationMap preference drivers across wealth levels, channels, and life stages.
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
container image

CONTEXT & RELEVANCE

Why run this survey now

Most investors don't lose confidence purely on portfolio performance. They disengage due to unclear value, inconsistent advice, opaque fees, weak personalisation, and fragmented service, none of which fully show up in satisfaction scores or transaction data.

If you are...

  • Private banking leadership
  • Wealth product teams
  • Advisory proposition owners
  • Client experience leaders

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete wealth advisory journey from need recognition to relationship expansion.

TENETS 01

Financial Priorities

  • Current financial objectives
  • Emerging wealth management needs
TENETS 02

Advice Discovery

  • Advisor search pathways
  • Referral source credibility
TENETS 03

Provider Consideration

  • Institution type preferences
  • Shortlisting decision criteria
TENETS 04

Trust & Expertise

  • Advisor credibility signals
  • Institutional trust foundations
TENETS 05

Service Model

  • Human advisory expectations
  • Digital engagement preferences
TENETS 06

Fees & Value

  • Pricing model acceptance
  • Perceived advisory value
TENETS 07

Experience & Loyalty

  • Relationship quality drivers
  • Retention and advocacy signals
TENETS 08

Switching & Expansion

  • Provider switching triggers
  • Asset consolidation potential
Request a scope validation call

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?
Less than 300300-500500-1,0001,000-3,0003,000+Not sure yet (recommend based on markets and cuts required)
Target audience
Who should we survey?
Emerging affluent investorsAffluent investorsHigh-net-worth investorsBusiness ownersFamily wealth principals
Region
Which regions should we cover?
NorthSouthWestEastPan-IndiaMulti-country
Segments
How should we slice the data?
Investable assets: Under ₹50 lakh vs ₹50 lakh-₹5 crore vs ₹5 crore+Provider type: Private bank vs wealth firm vs independent advisorAdvice model: Execution-only vs hybrid advisory vs discretionary managementInvestor stage: Wealth building vs preservation vs intergenerational transferRelationship tenure: Under 2 years vs 2-5 years vs 5+ years
YOUR SELECTION
Clear all
Sample size
Not Selected
Target audience
Not Selected
Region
Not Selected
Segments
Not Selected
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

METHODOLOGY

Survey approach

For Wealth Management & Advisory Preference Study, we recommend a hybrid quantitative-led approach with flexible data-collection modes to balance reach, depth, and verification across affluent, emerging affluent, and high-net-worth investor segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Compare provider preferences
2
Quantify advisory choice drivers
3
Segment fee and service expectations
Deliverables
Preference scorecard
Segment profiles

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

Cost Breakdown

Questionnaire DesignIncluded

Data Collection (CPI + 50C)Variable

Analysis & ReportIncluded
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 wealth management and financial advisory space.

CASELET 1

Premium Banking Proposition Positioning Study Across Urban India

CASELET 2

Retirement Planning Service Concept Assessment in Metropolitan Markets

Premium Banking Proposition Positioning Study Across Urban India

OBJECTIVE

A pan-India financial institution needed to understand how affluent salaried investors , business owners , and retired wealth holders compared premium banking propositions, selected primary institutions, and evaluated relationship benefits beyond investment performance.

WHAT WE DID

We conducted a structured survey across six cities, applying quotas by wealth tier and life stage while measuring brand consideration , benefit relevance , advisor accessibility, service responsiveness, product breadth, and willingness to consolidate financial relationships.

DELIVERED

The engagement produced a proposition preference map , competitive positioning matrix , benefit prioritisation hierarchy, investor segment profiles, and channel levers identifying which combinations of relationship service, privileges, expertise, and digital access resonated across cohorts.
Talk to Survey Consultant
CASELET 1

Premium Banking Proposition Positioning Study Across Urban India

CASELET 2

Retirement Planning Service Concept Assessment in Metropolitan Markets

Premium Banking Proposition Positioning Study Across Urban India

OBJECTIVE

A pan-India financial institution needed to understand how affluent salaried investors , business owners , and retired wealth holders compared premium banking propositions, selected primary institutions, and evaluated relationship benefits beyond investment performance.

WHAT WE DID

We conducted a structured survey across six cities, applying quotas by wealth tier and life stage while measuring brand consideration , benefit relevance , advisor accessibility, service responsiveness, product breadth, and willingness to consolidate financial relationships.

DELIVERED

The engagement produced a proposition preference map , competitive positioning matrix , benefit prioritisation hierarchy, investor segment profiles, and channel levers identifying which combinations of relationship service, privileges, expertise, and digital access resonated across cohorts.

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 emerging affluent investors, high-net-worth investors and family wealth principals?

How will you measure wealth advisory preference beyond simple ratings?

Will the survey map the full wealth advisory journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our advisory client acquisition strategy?

Still have questions?

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

Book a Discovery Call
  • Distribution strategy teams
  • You're likely facing...

    • Strong brand awareness but weak advisory conversion among prospects
    • Growing gap between promised personalisation and experienced service quality
    • Difficulty identifying which fee structures feel justified to clients
    • Inconsistent advisor engagement causing fragmented relationship experiences across channels
    • High portfolio satisfaction with low consolidation intent among investors

    This will help answer...

    • Provider selection drivers
    • Advisory model preferences
    • Fee acceptance corridors
    • Relationship switching triggers
    • Segment-specific channel priorities
    Driver hierarchy
    OPTIONAL
    CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
    Best for
    1
    Older affluent investors with limited panel participation
    2
    Business owners requiring assisted questionnaire completion
    Deliverables
    Assisted response dataset
    Cohort comparisons
    SELECTIVE
    Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
    Best for
    1
    Family wealth principals in priority financial centres
    2
    High-value investors requiring verified respondent credentials
    Deliverables
    Verified cohort dataset
    Investor context profiles
    OPTIONAL
    FGDs
    Best for
    1
    Uncover trust barriers behind advisor switching decisions
    2
    Explore reactions to fees, mandates, and digital service
    Deliverables
    Trust barrier map
    Value proposition territories
    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 for scalable comparison across investor wealth tiers and provider relationships
    Consider adding: FGDs when trust, fee acceptance, or switching motivations require deeper interpretation
    Confirm approach
    Request timeline