HEALTH INSURANCE & COVERAGE

Health Insurance Purchase Decision & Coverage Selection Survey

Map how individual buyers evaluate plan features, compare insurer options, and choose coverage tiers, so you can sharpen acquisition targeting, fix pricing positioning, and improve conversion across enrollment channels.

Pan-India sample
Health insurance buyers (Active Policy Decision-Makers)
15-20 min
Talk to a Survey Consultant
Enrollment friction & drop-offsIdentify where prospective buyers hesitate, stall, or abandon coverage selection.
Coverage drivers & pricing thresholdsBenchmark premium sensitivity, coverage priorities, and plan trade-offs by segment.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most insurers don't lose health plan applicants purely on premium cost. They lose them due to coverage confusion, benefit misalignment, network trust gaps, claim process anxiety, and poorly timed outreach, none of which fully show up in policy issuance reports or agent conversion dashboards.

If you are...

  • Health insurer vs aggregator competition
  • Insurer repositioning coverage depth
  • Product or underwriting head
  • Distribution or channel sales lead
  • Retention and renewals team

You're likely facing...

  • Coverage fit confusion: individual vs family
  • Drop-offs: comparison or payment stage
  • Insurers = trusted but rigid perception
  • Aggregators = cheap but opaque perception
  • Renewal lapse and mid-term switching

This will help answer...

  • Coverage drivers beyond premium price
  • Purchase funnel drop-off stage
  • Segment preference by plan type
  • Premium sensitivity vs benefit trade-off
  • Renewal lapse and switch triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete policyholder journey from initial trigger to renewal commitment.

TENETS 01

Purchase Triggers

  • Life events driving first purchase
  • Employer vs. self-initiated enrollment
TENETS 02

Discovery & Shortlisting

  • Information sources before shortlisting
  • Insurer awareness, digital vs. agent
TENETS 03

Coverage Preference

  • Sum insured selection rationale
  • Add-on riders vs. base plan trade-offs
TENETS 04

Pricing & Affordability

  • Premium budget thresholds by segment
  • Price sensitivity at renewal vs. first buy
TENETS 05

Channel & Purchase

  • Agent vs. direct vs. aggregator split
  • Digital self-service adoption at point of sale
TENETS 06

Claims & Servicing

  • Cashless vs. reimbursement claim experience
  • TPA responsiveness, discharge turnaround
TENETS 07

Trust & Switching

  • Insurer trust signals at renewal decision
  • Portability intent and switching barriers
TENETS 08

Wellness & Engagement

  • Preventive benefit usage and awareness
  • App engagement, health rewards adoption

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 Health Insurance Purchase Decision and Coverage Selection 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 coverage drivers by policyholder segment
2
Mapping insurer preference across plan types
3
Benchmarking premium sensitivity by income band
Deliverables
Coverage driver ranking
Insurer preference matrix
Premium sensitivity bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older or low-digital policyholders in Tier 2 and 3 cities
2
Quick coverage pulse across multiple geographies
Deliverables
Segment reach report
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-sum-insured buyers requiring in-depth verification
2
Self-employed cohorts with complex coverage decision contexts
Deliverables
Cohort journey maps
Cluster insights
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 low-digital and Tier 2 or Tier 3 policyholder segments.
Consider adding: F2F for high-sum-insured and self-employed cohorts, and a focused FGD layer to pressure-test coverage messaging and benefit communication.

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)
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  • 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)
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  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
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  • Czech Koruna (CZK)
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  • Euro (EUR)
  • Fijian Dollar (FJD)
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  • British Pound (GBP)
  • Georgian Lari (GEL)
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  • Gambian Dalasi (GMD)
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  • Kyrgyzstani Som (KGS)
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  • Lesotho Loti (LSL)
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  • 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)
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  • Syrian Pound (SYP)
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  • Tunisian Dinar (TND)
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  • 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 health insurance research space.

CASELET 1

Group health plan renewal intent & insurer switching triggers (India)

CASELET 2

Individual policy upgrade barriers & advisor influence study (India)

Group health plan renewal intent & insurer switching triggers (India)

OBJECTIVE

A mid-size private insurer needed to isolate why salaried employees and self-employed professionals switch group health plans at renewal, and which coverage gaps and premium thresholds drove that switching decision.

WHAT WE DID

Ran a structured quant survey across 600 respondents in 8 cities, capturing renewal timelines, insurer shortlists, premium sensitivity bands, coverage adequacy ratings, and stated reasons for staying with or exiting an incumbent plan.

DELIVERED

A switching trigger map by employment segment, a premium tolerance corridor for three coverage tiers, and a ranked friction list identifying the 5 coverage features most likely to accelerate insurer exit at renewal.
CASELET 1

Group health plan renewal intent & insurer switching triggers (India)

CASELET 2

Individual policy upgrade barriers & advisor influence study (India)

Group health plan renewal intent & insurer switching triggers (India)

OBJECTIVE

A mid-size private insurer needed to isolate why salaried employees and self-employed professionals switch group health plans at renewal, and which coverage gaps and premium thresholds drove that switching decision.

WHAT WE DID

Ran a structured quant survey across 600 respondents in 8 cities, capturing renewal timelines, insurer shortlists, premium sensitivity bands, coverage adequacy ratings, and stated reasons for staying with or exiting an incumbent plan.

DELIVERED

A switching trigger map by employment segment, a premium tolerance corridor for three coverage tiers, and a ranked friction list identifying the 5 coverage features most likely to accelerate insurer exit at renewal.

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 individual buyers, employer-sponsored members and self-employed purchasers?

How will you measure coverage selection preference beyond simple ratings?

Will the survey map the full health insurance purchase journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our enrollment and retention performance?

Still have questions?

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

Book a Discovery Call