Tax-Saving Investment Behaviour Survey
Map how salaried individuals and self-employed taxpayers evaluate, compare, and choose tax-saving instruments across ELSS, PPF, and insurance products, so you can sharpen acquisition targeting, refine product positioning, and improve conversion across investor segments.
CONTEXT & RELEVANCE
Why run this survey now
Most financial product teams don't lose tax-season investors purely on returns. They lose them due to misread risk appetite, instrument confusion, deadline-driven panic choices, distributor influence gaps, and regime-switch uncertainty, none of which fully show up in AUM reports or redemption dashboards.
If you are...
- AMC vs insurance product competition
- ULIP or ELSS positioning lead
- Product head, tax-saving instruments
- Distribution or channel strategy head
- Wealth platform or fintech growth team
You're likely facing...
- Instrument confusion: ELSS vs PPF vs NPS
- Last-quarter panic allocation patterns
- ELSS = risky, insurance = safe perception
- Distributor bias skewing product uptake
- New tax regime switching intent gap
This will help answer...
- Instrument preference drivers by segment
- Allocation timing and trigger points
- Old vs new regime investor split
- Fee sensitivity across product categories
- Switching and renewal intent signals
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete tax-saving investor journey from awareness to portfolio review.
Awareness & Triggers
- Tax-saving awareness entry points
- Financial year-end urgency patterns
Instrument Preference
- Section 80C instrument ranking
- ELSS vs. PPF vs. NPS allocation split
Advisor Reliance
- CA vs. digital platform dependency
- Self-directed vs. advised decision split
Lock-in Tolerance
- Acceptable lock-in period by income bracket
- Liquidity need vs. tax benefit trade-off
Allocation & Sizing
- Annual 80C ceiling utilisation rate
- Beyond-80C investment behaviour
Regime & Switching
- Old vs. new tax regime adoption rate
- Regime switch decision triggers
Trust & Credibility
- Brand trust signals by instrument category
- Regulatory assurance vs. return credibility
Review & Renewal
- Post-lock-in reinvestment decision patterns
- Annual portfolio review frequency
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 Tax-Saving Investment Behaviour Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across investor segments and income brackets.
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 behaviour space.
Retirement product preference & channel trust mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Retirement product preference & channel trust mapping (India)
ELSS positioning & message territory audit (North & West India)
Retirement product preference & channel trust mapping (India)
OBJECTIVE
A mid-size asset management firm needed to map how salaried professionals and self-employed individuals evaluate NPS , PPF , and annuity products at the point of long-term allocation, and which channel relationships drove final commitment.
WHAT WE DID
Ran a structured quant survey across 6 cities with 480 respondents, capturing product shortlisting criteria , advisor versus self-directed decision weight , lock-in tolerance , and perceived liquidity risk by income band and employment type.
DELIVERED
A segment-level preference map by product type, a ranked channel trust framework across advisor, bank, and app-based touchpoints, and a friction list identifying the 4 decision barriers most likely to stall first-time retirement product uptake.
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 ELSS investors, life insurance buyers and PPF or NPS contributors?
How will you measure instrument preference beyond simple ratings?
Will the survey map the full tax-saving investment journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our distributor and channel activation strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.