INSURANCE & DISTRIBUTION

Insurance Agent vs Online Purchase Preference Survey

Map how retail insurance buyers evaluate, compare, and choose between agent-led and digital purchase channels across trust, pricing, and policy complexity, so you can sharpen channel acquisition, fix conversion gaps, and benchmark segment-level retention.

Pan-India sample
Retail insurance buyers (Active Policy Purchasers)
15-20 min
Talk to a Survey Consultant
Channel friction & drop-offsIdentify where buyers stall, switch channels, or abandon purchase mid-journey.
Selection drivers & trade-offsRank trust signals, pricing sensitivity, and complexity thresholds by segment.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most insurers don't lose policyholders purely on premium price. They lose them due to channel trust gaps, agent value confusion, digital friction, product complexity, and post-sale service failures, none of which fully show up in policy issuance reports or renewal dashboards.

If you are...

  • Insurer competing on agent networks
  • Digital-first insurance platform
  • Distribution or channel strategy head
  • Product pricing and portfolio lead
  • Retention and renewal growth team

You're likely facing...

  • Agent vs. online conversion gap
  • Channel trust: digital vs. human
  • Agents = personal/slow perception
  • Online = cheap/risky perception
  • Renewal drop-offs: channel switching

This will help answer...

  • Channel preference drivers by segment
  • Purchase journey drop-off stage
  • Agent vs. online segment split
  • Price sensitivity vs. trust trade-off
  • Renewal channel switch triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete policyholder journey from channel discovery to renewal decision.

TENETS 01

Channel Discovery

  • First touchpoint, agent or digital
  • Awareness source by product line
TENETS 02

Preference Drivers

  • Agent vs. direct channel preference
  • Key decision criteria by segment
TENETS 03

Product & Advice

  • Policy complexity vs. self-service comfort
  • Advice adequacy across product types
TENETS 04

Purchase Friction

  • Drop-off points, online and offline
  • Documentation and KYC barriers
TENETS 05

Pricing & WTP

  • Premium sensitivity by channel
  • Willingness to pay for agent service
TENETS 06

Claims & Servicing

  • Agent role during claims process
  • Post-issuance servicing expectations
TENETS 07

Trust & Credibility

  • Agent trust signals vs. platform trust
  • Brand credibility across purchase channels
TENETS 08

Renewal & Switching

  • Channel shift at renewal stage
  • Switching triggers, agent and online

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 Agent vs Online Purchase Preference 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
Measuring agent vs online channel preference and switching intent.
2
Ranking trust, price, and convenience as purchase drivers.
3
Comparing segments by policy type, age, and income band.
Deliverables
Channel preference ranking
Driver gap matrix
Segment preference splits
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 purchase comfort.
2
Quick coverage across Tier 2 and Tier 3 towns.
Deliverables
Tier-wise coverage data
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 buying complex or bundled covers.
2
Agent-reliant segments requiring contextual purchase verification.
Deliverables
Cohort journey maps
Agent reliance profiles
OPTIONAL
FGDs
Deliverables
Themes and quotes
Concept 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 Tier 2 and Tier 3 policyholders with low digital purchase activity.
Consider adding: F2F for high-value or complex-cover segments and a focused FGD layer to pressure-test channel messaging and agent trust 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)
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  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
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  • Barbadian Dollar (BBD)
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  • Euro (EUR)
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  • Jamaican Dollar (JMD)
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  • Kyrgyzstani Som (KGS)
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  • Lesotho Loti (LSL)
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  • 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)
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  • Philippine Peso (PHP)
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  • 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 distribution and channel preference space.

CASELET 1

Term life channel preference & friction mapping (India)

CASELET 2

Health insurance renewal decision & agent value audit (West India)

Term life channel preference & friction mapping (India)

OBJECTIVE

A mid-size life insurer needed to identify why first-time term buyers in Tier 1 and Tier 2 cities defaulted to agent-led purchase over direct digital channels , and which friction points caused drop-off before policy issuance.

WHAT WE DID

Ran a structured quant survey across 600 respondents, capturing channel shortlisting triggers, trust signals by channel, premium comparison behaviour, documentation friction, and stated reasons for abandoning self-serve flows before completing purchase.

DELIVERED

A channel preference map by buyer segment, a ranked friction list across agent and digital touchpoints, and a set of trust signal levers specific to first-time term buyers in non-metro geographies.
CASELET 1

Term life channel preference & friction mapping (India)

CASELET 2

Health insurance renewal decision & agent value audit (West India)

Term life channel preference & friction mapping (India)

OBJECTIVE

A mid-size life insurer needed to identify why first-time term buyers in Tier 1 and Tier 2 cities defaulted to agent-led purchase over direct digital channels , and which friction points caused drop-off before policy issuance.

WHAT WE DID

Ran a structured quant survey across 600 respondents, capturing channel shortlisting triggers, trust signals by channel, premium comparison behaviour, documentation friction, and stated reasons for abandoning self-serve flows before completing purchase.

DELIVERED

A channel preference map by buyer segment, a ranked friction list across agent and digital touchpoints, and a set of trust signal levers specific to first-time term buyers in non-metro geographies.

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 agent-first buyers, direct online buyers and hybrid channel buyers?

How will you measure channel purchase preference beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our agent network and digital acquisition strategy?

Still have questions?

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

Book a Discovery Call