NPS vs PPF vs Mutual Fund Preference Survey
Map how retail investors evaluate, compare, and choose between NPS, PPF, and mutual funds across tax efficiency, liquidity, and return expectations, so you can sharpen acquisition targeting, refine product positioning, and convert high-intent segments.
CONTEXT & RELEVANCE
Why run this survey now
Most wealth managers don't lose retail investors purely on returns. They lose them due to tax-efficiency confusion, liquidity mismatches, risk-tolerance misreads, retirement horizon gaps, and employer-nudge bias, none of which fully show up in AUM dashboards or redemption reports.
If you are...
- AMC competing against pension products
- NPS distributor losing salaried investors
- Wealth platform product head
- Bancassurance or distribution head
- Retirement planning strategy lead
You're likely facing...
- NPS vs MF: tax lock-in confusion
- PPF ceiling limiting HNI allocation
- Salaried vs self-employed preference split
- Liquidity vs returns trade-off tension
- Mid-journey switching at retirement horizon
This will help answer...
- Primary allocation drivers by segment
- Drop-off stage across product journeys
- NPS vs MF preference by income
- Fee sensitivity vs lock-in tolerance
- Switching triggers near retirement age
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete investor journey from instrument discovery to long-term allocation commitment.
Discovery & Awareness
- First instrument encountered by investors
- Information sources driving initial consideration
Preference Drivers
- Primary reasons for instrument selection
- Tax benefit vs. return expectation trade-off
Allocation & Portfolio
- Monthly contribution split across instruments
- Portfolio concentration vs. diversification patterns
Journey Friction
- Onboarding drop-offs across account opening stages
- Documentation and KYC completion barriers
Pricing & WTP
- Fee sensitivity across fund management charges
- Willingness to pay for advisory or managed tiers
Engagement & Stickiness
- Contribution consistency over 12-month periods
- Self-service vs. RM-assisted review frequency
Trust & Credibility
- Government backing vs. SEBI-regulated fund trust
- Advisor credibility and recommendation weight
Competitive Positioning
- Head-to-head instrument ranking by investor segment
- Switching intent and competitive vulnerability gaps
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.
METHODOLOGY
Survey approach
For the NPS vs PPF vs Mutual Fund Preference Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.
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
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
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
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
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 personal finance and investment preference space.
Retirement instrument switching intent & barrier mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Retirement instrument switching intent & barrier mapping (India)
Tax-saving instrument preference & advisor influence audit (India)
Retirement instrument switching intent & barrier mapping (India)
OBJECTIVE
A mid-size asset management firm needed to isolate why salaried mid-career investors stall between annuity-linked products and market-linked retirement schemes , and which friction points prevent a first contribution or a switch.
WHAT WE DID
Ran a structured quant survey across 600 respondents in 8 cities, capturing product awareness depth, contribution frequency, risk tolerance tier, employer nudge exposure, and stated reasons for deferring or abandoning a retirement product decision.
DELIVERED
A segment-level barrier map by income band and employer type, a ranked friction list at each decision stage, and a set of message territories calibrated to each investor segment's primary objection.
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 NPS-only, PPF-only and mutual fund-only investors?
How will you measure instrument preference beyond simple ratings?
Will the survey map the full investment decision journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our distributor and advisor channel strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.