INSURANCE & HEALTH FINANCE

Insurance Portability Experience Survey

Map how existing policyholders evaluate, compare, and navigate insurer switching across premium, coverage, and claims history, so you can sharpen retention triggers, fix acquisition messaging, and benchmark conversion across portability windows.

Pan-India sample
Policyholders (Active Port Initiators)
15-20 min
Talk to a Survey Consultant
Portability friction & drop-offsIdentify where policyholders stall, disengage, or abandon mid-switch.
Switching drivers & trade-offsRank premium sensitivity, claims reputation, and coverage gaps by segment.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most insurers don't lose policyholders at renewal purely on premium. They lose them due to friction in portability initiation, opaque waiting period terms, claim history transfer anxiety, poor intermediary guidance, and misaligned coverage expectations, none of which fully show up in policy lapse reports or renewal conversion dashboards.

If you are...

  • Health insurer losing portable customers
  • General insurer defending renewal base
  • Product head reviewing port-in rates
  • Distribution or channel strategy lead
  • Retention and pricing committee member

You're likely facing...

  • Port-out spike: renewal vs mid-term
  • Waiting period confusion at switch
  • Insurers = complex/slow port perception
  • Premium gap vs coverage mismatch
  • Intermediary bias skewing port decisions

This will help answer...

  • Primary drivers of portability decisions
  • Drop-off stage in port journey
  • Segment-level port-in vs port-out split
  • Premium sensitivity vs benefit trade-off
  • Retention triggers before switch intent

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete policyholder journey from portability trigger to post-switch retention.

TENETS 01

Switch Triggers

  • Renewal cycle as portability prompt
  • Claim dissatisfaction, premium hike
TENETS 02

Discovery & Awareness

  • Portability awareness channels
  • Aggregator vs. direct insurer reach
TENETS 03

Insurer Selection

  • Network hospital coverage, claim ratio
  • Brand trust vs. premium trade-off
TENETS 04

Porting Process

  • Documentation burden, turnaround time
  • Form submission friction points
TENETS 05

Pricing & Continuity

  • Premium delta at port, waiting period
  • No-claim bonus portability acceptance
TENETS 06

Post-Port Experience

  • First claim experience after switch
  • Servicing quality, renewal intent
TENETS 07

Trust & Advocacy

  • Peer referral likelihood post-switch
  • Insurer credibility signals, complaint history
TENETS 08

Retention Risk

  • Churn likelihood at next renewal
  • Unresolved gaps driving re-port intent

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?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the Insurance Portability Experience Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across policyholder segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Measuring portability intent and switching triggers.
2
Ranking friction points across the porting journey.
3
Comparing segments by insurer type, policy tenure, and claim history.
Deliverables
Friction point ranking
Segment comparison matrix
Portability intent scores
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older policyholders with low digital engagement.
2
Tier 2 and Tier 3 city coverage at speed.
Deliverables
Policyholder coverage map
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-value policyholders with complex multi-policy portfolios.
2
Segments requiring verification of porting documentation experience.
Deliverables
Cohort journey maps
Verification gap notes
OPTIONAL
FGDs
Deliverables
Themes and verbatims
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 to capture policyholders in low-digital or Tier 2 and Tier 3 markets.
Consider adding: Face-to-face interviews for high-value or multi-policy cohorts, and a focused FGD layer to pressure-test portability messaging and identify switching narratives.

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

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 insurance customer experience space.

CASELET 1

Health insurance renewal friction & channel preference (India)

CASELET 2

Motor insurance claim experience & insurer trust positioning (West India)

Health insurance renewal friction & channel preference (India)

OBJECTIVE

A mid-size private insurer needed to isolate why individual retail policyholders and family floater holders stalled or dropped out at renewal, and which channel touchpoints drove completion versus abandonment across metro and Tier-2 markets.

WHAT WE DID

Ran a structured quant survey across 600 respondents in 8 cities, capturing renewal trigger timing, channel of first contact, documentation friction, premium sensitivity thresholds, and stated reasons for switching insurer or lapsing coverage at the prior cycle.

DELIVERED

A renewal friction map by policyholder segment, a ranked channel preference corridor for metro versus Tier-2 cohorts, and a drop-off trigger list identifying the 4 highest-impact moments where intervention could recover stalled renewals.
CASELET 1

Health insurance renewal friction & channel preference (India)

CASELET 2

Motor insurance claim experience & insurer trust positioning (West India)

Health insurance renewal friction & channel preference (India)

OBJECTIVE

A mid-size private insurer needed to isolate why individual retail policyholders and family floater holders stalled or dropped out at renewal, and which channel touchpoints drove completion versus abandonment across metro and Tier-2 markets.

WHAT WE DID

Ran a structured quant survey across 600 respondents in 8 cities, capturing renewal trigger timing, channel of first contact, documentation friction, premium sensitivity thresholds, and stated reasons for switching insurer or lapsing coverage at the prior cycle.

DELIVERED

A renewal friction map by policyholder segment, a ranked channel preference corridor for metro versus Tier-2 cohorts, and a drop-off trigger list identifying the 4 highest-impact moments where intervention could recover stalled renewals.

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 first-time porters, repeat porters and policyholders who considered porting but stayed?

How will you measure insurer preference beyond simple ratings?

Will the survey map the full portability journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our renewal and retention conversion rates?

Still have questions?

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

Book a Discovery Call