Wealth Management Research in Singapore: The Say-Do Gap in High-Net-Worth Decision-Making

Assembled is a Singapore-based qualitative and quantitative market research agency led by Managing Director Felicia Hu. With more than 600 completed projects since 2016, a proprietary panel exceeding 100,000 respondents, and accreditation from both MRS (UK) and ESOMAR, we deliver research that moves beyond data collection into cultural interpretation. Quoted in the South China Morning Post, our work across financial services, luxury, healthcare, and F&B reflects the complexity of a market where stated intention and actual behaviour rarely align.

Wealth Management Research in Singapore: The Say-Do Gap in High-Net-Worth Decision-Making

Here is something that happened at a private wealth event at Marina Bay Sands last year. A relationship manager from one of Singapore's top three banks was explaining, with genuine conviction, how his HNW clients had "completely shifted" toward ESG-aligned portfolios. Sustainable. Long-horizon. Values-driven. Then, over cocktails, a family office principal quietly mentioned that her actual allocation to ESG products was under 4% — and that most of her recent decisions were driven by WhatsApp recommendations from two friends in her UHNW circle.

That moment captures something we keep encountering in our financial services research: the distance between what wealthy clients say they want from their wealth managers and what they actually do with their money. This is the say-do gap, and in wealth management — perhaps more than in any other category we study — the gap is not just wide. It is structurally embedded in how the entire relationship works.

The implications matter. Private banks are building advisory frameworks, product suites, and digital platforms around stated client preferences. If those stated preferences are performative — shaped by social desirability, peer signalling, or the dynamics of the advisor-client relationship itself — then billions of dollars of strategy rest on unstable ground.

The strategic landscape: Singapore's wealth management moment

Let us start with scale, because the numbers themselves tell a story. According to the MAS Singapore Asset Management Survey 2024, total assets under management reached S$6.07 trillion — a 12% year-on-year increase and the first time Singapore crossed the S$6 trillion mark. Net inflows rebounded 50% to S$290 billion. Of total AUM, 77% originates from outside Singapore, and 88% is invested globally. These are not abstract figures. They represent a gravitational pull that has made Singapore Asia's leading wealth management hub.

The family office explosion is equally striking. From approximately 400 single-family offices in 2020, Singapore now hosts more than 2,000 — a 43% jump in 2024 alone. Wealthy families from China, India, and Southeast Asia are consolidating assets here, drawn by regulatory stability, tax incentives under Sections 13O and 13U, and a financial ecosystem that includes over 40 global and regional private banks. According to the Singapore Department of Statistics, household net worth reached S$3.1 trillion as of Q1 2025, with financial assets — currencies, deposits, shares, securities, CPF, and insurance — accounting for over 55% of total household assets.

DBS alone reported $332 billion in wealth management AUM in Q1 2025, and claims to serve one in three family offices in Singapore. The competitive intensity is extraordinary. Every major global institution is building or expanding its Singapore presence, and the talent war for relationship managers and wealth planners shows no sign of cooling. The BCG Global Wealth Report projects Singapore will grow at 8.5% per annum through 2028 — faster than any other global wealth centre.

And yet. In our in-depth interview work with HNW individuals and the relationship managers who serve them, the picture that emerges is more complicated — more human, really — than the growth narrative suggests.

Questions worth asking

When a sector is growing this fast, certain questions get crowded out by the sheer velocity of deal flow and asset accumulation. But they are precisely the questions that determine whether research investment produces actionable insight or expensive confirmation bias.

  • The HNW Client When a high-net-worth individual tells their relationship manager they want "long-term, diversified, values-aligned" wealth management — how much of that language reflects genuine investment philosophy, and how much is performed identity? What actually drives the next allocation decision?
  • The Relationship Manager How do relationship managers navigate the gap between what clients say in formal reviews and what they request in WhatsApp messages at midnight? Where does advisory authority actually reside — with the RM, the client, or the client's peer network?
  • The Product Strategist If stated preferences for ESG, holistic planning, and long-horizon strategies do not reliably predict actual allocation behaviour, what data should product development teams actually rely on? How do you design for the client's real decision architecture rather than their aspirational one?
  • The Compliance Officer When client suitability assessments are built on stated risk tolerance, and actual behaviour reveals a different risk profile entirely, what are the regulatory implications? How does the say-do gap intersect with MAS expectations for know-your-client processes?
  • The Family Office Principal In multi-generational wealth structures, whose stated preferences matter — the patriarch's, the next-gen heir's, or the external CIO's? How do family dynamics shape investment decisions in ways that no questionnaire will ever capture?
  • The Digital Platform Builder When digital banking trust is already fragile, how do wealth tech platforms account for the fact that HNW clients' digital behaviour (what they click, how long they linger) may be a more honest signal than anything they tell a human advisor?

How we uncover answers

In-depth interviews: the primary instrument

For wealth management research, the in-depth interview is not just the preferred method. It is, we would argue, the only method that can access the real decision architecture. HNW individuals do not disclose genuine financial motivations in focus groups — the social performance pressures are too high. They do not reveal them in surveys — the questions are too blunt. And CRM data, however sophisticated, captures what happened without explaining why.

In an IDI — conducted one-on-one, in a private setting the participant has chosen, by a researcher skilled in the particular rhythms of high-net-worth conversation — something different happens. The performative layer gradually relaxes. The language shifts. We stop hearing what the participant thinks a "sophisticated investor" should say, and start hearing the actual emotional texture of financial decision-making: the anxiety about legacy, the competitive dynamics with peers, the quiet distrust of the very advisor they publicly endorse.

This is why our method selection matters so much in financial services. The tool shapes what you can see.

Ethnographic observation: the secondary layer

Where IDIs reveal the internal decision architecture, ethnographic observation captures the external context. We observe wealth management touchpoints — how clients interact with digital platforms, how they behave in advisory meetings, how they discuss investment decisions in informal social settings. The gap between the formal review conversation and the informal WhatsApp exchange is itself a research finding.

Three archetypes we consistently encounter

The Legacy Builder

States a desire for long-term, multi-generational wealth preservation. Actual behaviour reveals a deep anxiety about control — they resist delegation, second-guess advisors, and make allocation changes based on macro news cycles rather than strategic plans. The say-do gap here is rooted in the tension between wanting to "build something lasting" and needing to feel personally in command.

The Performance Chaser

Publicly advocates for diversified, risk-adjusted returns. In practice, disproportionately influenced by recent performance of peer portfolios. Will switch product providers based on a single quarter's relative underperformance. The say-do gap is driven by competitive social dynamics within their UHNW circle — a dimension that no risk tolerance questionnaire captures.

The Delegator

Claims to have "full trust" in their relationship manager and advisory team. IDIs reveal a more nuanced reality: trust is conditional, periodically tested, and heavily mediated by whether the RM validates the client's self-image as a sophisticated investor. The delegation is real but fragile — and the triggers for withdrawal of trust are often emotional rather than financial.

These archetypes are not theoretical. They emerge consistently across our case studies and inform how we structure interview guides, analyse transcripts, and translate findings into strategic recommendations.

From theory to practice: frameworks for closing the gap

What good is identifying a gap if you cannot close it? Or at least — and this is perhaps more honest — if you cannot account for it in your strategy? Here are three frameworks we use to move from qualitative insight to practical application.

1. The HNW Decision Architecture Matrix

This framework maps the actual decision inputs for high-net-worth investment choices, moving beyond the official advisory process to capture the informal, social, and emotional dimensions.

Decision Layer Visible Signal Hidden Driver (IDI-Revealed) Strategic Implication
Formal Advisory Risk profile questionnaire, IPS Answers shaped by what client thinks RM expects Supplement formal profiling with behavioural observation
Peer Influence Client mentions "doing their own research" Decision strongly shaped by 2-3 trusted peers in UHNW circle Map peer network influence patterns
Emotional Trigger Request for "more conservative" allocation Recent family conflict, health scare, or generational tension Train RMs to read emotional context, not just stated preference
Identity Performance Expressed interest in ESG, impact investing Allocation to ESG remains minimal; interest is social signalling Design ESG products for identity reinforcement, not just returns
Digital Behaviour Low engagement with wealth platform Client uses competitor tools, fintech apps, or informal channels Track digital behaviour as a parallel data stream

2. Stated vs. Actual Investment Preference Framework

Dimension What Clients Say (Survey / RM Meeting) What Clients Do (IDI / Behavioural Data)
Time Horizon "I invest for the long term, 10+ years" Reviews portfolio weekly; reacts to quarterly performance
Risk Tolerance "Moderate to aggressive; I understand volatility" Panics during 5% drawdown; calls RM to liquidate
ESG Alignment "Very important; I want values-aligned investments" ESG allocation <5%; performance remains primary filter
Advisor Trust "I trust my RM completely" Independently verifies recommendations with peers; switches RM after 1 underperforming quarter
Decision Authority "I make my own decisions based on fundamentals" Heavily influenced by 2-3 UHNW peers; acts on WhatsApp tips

3. The Trust Transfer Model

This framework, developed from our qualitative research across multiple Singapore financial services engagements, maps how trust actually flows in HNW wealth management relationships — which is rarely in the direction the institution assumes.

Trust Transfer in HNW Wealth Management: Institutional brand credibility provides initial access (the "door opener"), but ongoing trust resides primarily with the individual relationship manager. However — and this is what IDIs consistently reveal — the RM's authority is itself mediated by the client's peer network. A recommendation that aligns with what the client's UHNW peers are doing carries more weight than one backed by the institution's best research. Trust does not flow from institution to RM to client. It flows from peer network to client, with the RM's role being to validate choices the client has already socially pre-approved.

This has direct implications for how private banks structure relationship management, how they think about client retention, and — critically for our work — how they design research that captures genuine rather than performed trust. It connects to broader patterns we see in luxury market research, where peer influence similarly outweighs institutional messaging.

Frequently asked questions

Why do HNW clients in Singapore exhibit a say-do gap in wealth management decisions?

HNW clients often state preferences for long-term holistic planning and ESG-aligned portfolios in surveys and advisor meetings, but actual behaviour shows short-term return-chasing and heavy reliance on peer recommendations. This gap emerges from social desirability bias, the performative nature of wealth conversations, and the disconnect between aspirational identity and actual risk tolerance. In-depth interviews conducted in private, trusted settings can reveal the real motivations behind portfolio decisions.

What research methods work best for understanding HNW wealth management behaviour?

In-depth interviews (IDIs) are the primary method, conducted one-on-one in private settings where HNW individuals feel comfortable disclosing real financial attitudes. Ethnographic observation of wealth management touchpoints provides a secondary layer of behavioural data. Surveys and CRM analytics provide useful quantitative context but cannot capture the emotional and social dimensions that drive actual decision-making. Read our guide on choosing the right research method.

How many family offices are there in Singapore, and why does this matter for research?

As of end 2024, Singapore had more than 2,000 single-family offices, representing a 43% year-on-year increase according to MAS data. This matters for research because family offices represent a concentrated population of HNW and UHNW decision-makers whose investment behaviour is shaped by family dynamics, generational transitions, and peer networks — none of which are visible in aggregate AUM data.

How can private banks use qualitative research to improve client relationships?

Qualitative research — particularly IDIs with both clients and relationship managers — reveals the hidden decision architecture that shapes investment behaviour. Private banks can use these insights to train RMs in reading emotional context, to design products that address real (rather than stated) client needs, and to build advisory frameworks that account for peer influence. Our case studies demonstrate how these insights translate into measurable business outcomes.

What should be included in a research brief for wealth management research?

A strong research brief for wealth management research should specify the target HNW segment (by AUM tier, family structure, and wealth source), the specific behavioural questions you need answered (not just attitudinal ones), the competitive context, and the strategic decisions the research will inform. It should also acknowledge the say-do gap upfront and request methodology designed to address it — typically IDIs rather than surveys for primary data collection.

Methodology note: The frameworks, archetypes, and observations in this article draw on Assembled's cumulative experience conducting qualitative research with HNW and UHNW individuals across Singapore's financial services sector. Specific client engagements are referenced in aggregate to protect confidentiality. All government data cited is sourced from published MAS and SingStat reports. For a deeper discussion of our IDI methodology and how we adapt it for sensitive financial research, please contact our team.
Financial Services Research

Understanding what your high-net-worth clients actually want — vs. what they tell their relationship manager

The say-do gap in wealth management is real, measurable, and costly. Our IDI-based approach reveals the decision architecture that surveys and CRM data miss. Let us design a research programme that gives you genuine insight into HNW behaviour.

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Felicia Hu, Managing Director of Assembled, Singapore market research agency

Felicia Hu, Managing Director

Assembled — Singapore Market Research

600+ qualitative research projects across Singapore and Southeast Asia since 2016. Published in Research Live (MRS UK) and Research World (ESOMAR). Quoted in the South China Morning Post. Bilingual moderation in English and Mandarin. NVPC Company of Good Fellow.

Felicia Hu

Founder and Managing Director of Assembled, Singapore’s best-reviewed market research agency (700+ five-star Google reviews). 600+ projects since 2016 across skincare, financial services, F&B, healthcare, luxury goods, retail, aviation, and technology. Research World, MRS LIVE columnist. Quoted in South China Morning Post. ESOMAR standards. Bilingual fieldwork in English and Mandarin from a 100,000-member proprietary panel. More about Felicia → https://www.linkedin.com/in/feliciahuyanling/

https://assembled.sg/
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