FLEET INSURANCE & RISK

Fleet Insurance & Risk Management Survey

Understand how fleet operators evaluate, compare, and navigate coverage options, claims processes, and risk exposure thresholds, so you can sharpen acquisition targeting, benchmark pricing tiers, and convert high-value fleet accounts faster.

Pan-India sample
Fleet operators (Fleet Risk Managers)
15-20 min
Talk to a Survey Consultant
Coverage gaps & switching triggersIdentify where fleet operators abandon renewals, switch insurers, or reduce coverage scope.
Risk profiling & premium sensitivityBenchmark how fleet size, route type, and claims history shape premium tolerance.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most fleet operators don't lose margin purely on premium rates. They lose it due to misclassified vehicle risk, underreported driver behaviour, fragmented claims handling, inadequate coverage mapping, and poor renewal timing, none of which fully show up in telematics dashboards or loss ratio reports.

If you are...

  • Fleet insurer vs broker competition
  • Commercial motor underwriting head
  • Fleet risk or safety manager
  • Insurer pricing and product lead
  • Fleet procurement or finance head

You're likely facing...

  • Coverage fit: owned vs leased fleets
  • Claims drop-off: reporting stage
  • Insurers = broad/inflexible perception
  • Brokers = cheaper/underprotected perception
  • Renewal churn: pricing vs service gaps

This will help answer...

  • Coverage preference drivers by fleet size
  • Claims process drop-off stage
  • Insurer vs broker segment split
  • Premium tolerance vs coverage trade-off
  • Renewal switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete fleet insurance journey from policy procurement to claims settlement.

TENETS 01

Policy Discovery & Selection

  • Insurer shortlisting criteria, fleet size
  • Broker vs. direct channel preference
TENETS 02

Coverage & Adequacy

  • Third-party vs. comprehensive cover split
  • Gap coverage, cargo and liability riders
TENETS 03

Premium & Pricing

  • Premium benchmarks by fleet segment
  • Deductible structures, volume discount thresholds
TENETS 04

Claims & Settlement

  • Claim intimation to settlement turnaround
  • Cashless garage network, surveyor delays
TENETS 05

Risk Profiling & Telematics

  • Telematics adoption, driver scoring usage
  • Risk-based premium linkage, OBD fitment
TENETS 06

Compliance & Regulation

  • Motor Vehicles Act adherence, audit readiness
  • Third-party mandate gaps, permit-linked cover
TENETS 07

Insurer Relationship & Service

  • Dedicated RM access, escalation responsiveness
  • Renewal negotiation support, mid-term endorsements
TENETS 08

Switching & Retention

  • Churn triggers, incumbent loyalty drivers
  • Competitor evaluation at renewal window

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 Fleet Insurance & Risk Management Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across fleet operators, risk managers, and insurance procurement leads.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking fleet insurance selection criteria by segment
2
Benchmarking premium satisfaction across fleet sizes
3
Mapping claims frequency against risk management practices
Deliverables
Driver ranking
Premium benchmarks
Risk profile matrix
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Small fleet owners with low digital engagement
2
Quick coverage across dispersed regional depots
Deliverables
Regional fleet coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Large fleet operators with complex multi-policy structures
2
High-risk logistics corridors requiring contextual verification
Deliverables
Cluster insights
Risk journey maps
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 to capture small and mid-size fleet operators with limited digital access.
Consider adding: F2F interviews for large fleet and high-risk logistics cohorts, plus a focused FGD layer to pressure-test insurer value propositions and claims communication with fleet risk managers.

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
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$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 fleet risk and insurance space.

CASELET 1

Commercial vehicle telematics adoption & insurer preference (India)

CASELET 2

Claims experience & broker channel friction among corporate fleet buyers (India)

Commercial vehicle telematics adoption & insurer preference (India)

OBJECTIVE

A mid-size fleet operator needed to map how logistics fleet managers and owner-operators evaluate telematics-linked insurance products against conventional motor policies , and which pricing triggers shift renewal decisions toward usage-based cover.

WHAT WE DID

Ran a structured quant survey across 320 fleet decision-makers in six metros, capturing policy renewal triggers, telematics device adoption rates, premium sensitivity thresholds, and ranked insurer attributes across public-sector and private-sector providers.

DELIVERED

A segment preference map by fleet size, a pricing corridor for usage-based products by vehicle category, and a ranked insurer attribute framework isolating the three criteria that most frequently shift renewal intent.
CASELET 1

Commercial vehicle telematics adoption & insurer preference (India)

CASELET 2

Claims experience & broker channel friction among corporate fleet buyers (India)

Commercial vehicle telematics adoption & insurer preference (India)

OBJECTIVE

A mid-size fleet operator needed to map how logistics fleet managers and owner-operators evaluate telematics-linked insurance products against conventional motor policies , and which pricing triggers shift renewal decisions toward usage-based cover.

WHAT WE DID

Ran a structured quant survey across 320 fleet decision-makers in six metros, capturing policy renewal triggers, telematics device adoption rates, premium sensitivity thresholds, and ranked insurer attributes across public-sector and private-sector providers.

DELIVERED

A segment preference map by fleet size, a pricing corridor for usage-based products by vehicle category, and a ranked insurer attribute framework isolating the three criteria that most frequently shift renewal intent.

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 light commercial vehicle fleets, heavy goods vehicle fleets and mixed multi-modal fleets?

How will you measure insurer preference beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our fleet insurance retention and renewal conversion rates?

Still have questions?

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

Book a Discovery Call